E-ISSN 0976-2833 | ISSN 0975-3583
 
2020, Vol: 11, Issue: 4
11 / 4Current Issue Online First Archive Aims and Scope Abstracting & Indexing Most Accessed Articles Most Downloaded Articles Most Cited Articles
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Journal of Cardiovascular Disease Research (J Cardiovasc. Dis. Res.) [www.jcdronline.org] J Cardiovasc. Dis. Res. [ISSN: Print -0975-3583, Online - 0976-2833] is a double-blind peer-reviewed, open access international circulating professional journal led by a group of research scientists, vascular disease experts and cardiologists coming from North America, Asia and Europe etc. All manuscripts contributed to JCDR are examined by the editorial staff and usually evaluated by 3 peer expert reviewers assigned by the editors with the understanding that they have not been published previously and are not under consideration for publication elsewhere. Journal is being published quarterly



Most Viewed Articles
  • Reduced nitrate level in individuals with hypertension and diabetes
    Shiekh Gazalla Ayub, Taha Ayub, Saquib Naveed Khan, Rubiya Dar, Khurshid Iqbal Andrabi
    . 2011; 2(3): 172-176
    » Abstract » doi: 10.4103/0975-3583.85264

  • Factor analysis of risk variables associated with metabolic syndrome in adult Asian Indians
    Mithun Das, Susil Pal, Arnab Ghosh
    . 2010; 1(2): 86-91
    » Abstract » doi: 10.4103/0975-3583.64442

  • Putative antioxidant property of sesame oil in an oxidative stress model of myocardial injury
    Mohamed T.S. Saleem , Madhusudhana C. Chetty , S. Kavimani
    . 2013; 4(3): 177-181
    » Abstract » doi: 10.1016/j.jcdr.2013.07.001

  • Medical and Social Characteristics and Quality of Life of Children with Urinary System Diseases (on the Example of Urinary System Infection)
    A.A. Maksimova, N.V. Savvina, N.M. Gogolev, A.I. Protopopova
    . 2020; 11(2): 194-201
    » Abstract » doi: 10.31838/jcdr.2020.11.02.33

  • Combined Abdominal Sacrocolporectopexy as Re-Operation for Repeated Multi-Compartment Pelvic Prolapse
    Vladimir F. Kulikovsky, Natalia V. Oleynik, Arina P. Krivchikova, Natalia N. Bratisheva
    . 2020; 11(4): 81-86
    » Abstract » doi: 10.31838/jcdr.2020.11.04.14

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    Most Downloaded
  • Diabetic Retinopathy, The Automated of Detection of Retinal Fundus Images with Probabilistic Neural Networks (PNN)
    Elvina Amanda, Marischa Elveny, Rahmad Syah
    . 2020; 11(4): 302-306
    » Abstract » doi: 10.31838/jcdr.2020.11.04.54

  • Assessment of the Knowledge and Attitude of Male Students towards Smoking Based on Health Belief Model
    Rafat Rezapour-Nasrabad, Fatemeh Izadi, Atousa Karimi, Fateme Shariati Far, Khatereh Rostami, Amin Kiani, Afsaneh Ghasemi
    . 2020; 11(4): 116-121
    » Abstract » doi: 10.31838/jcdr.2020.11.04.20

  • Investigation of the Relationship between Social Support and Adherence to Treatment among Elderly Individuals with Type II Diabetes Mellitus
    Afsaneh Ghasemi, Rafat Rezapour-Nasrabad, Leila Nikrouz, Fatemeh Izadi, Atousa Karimi, Fateme Shariati Far, Zahra Khiali
    . 2020; 11(4): 122-129
    » Abstract » doi: 10.31838/jcdr.2020.11.04.21

  • Cardio-Vascular Disease Classification Using Stacked Segmentation Model and Convolutional Neural Networks
    G. Charlyn Pushpa Latha, S. Sridhar, S. Prithi, T. Anitha
    . 2020; 11(4): 26-31
    » Abstract » doi: 10.31838/jcdr.2020.11.04.05

  • Strategic DOTS to Increase Medical Knowledge for the Treatment of TB Patients
    Elvina Amanda, Marischa Elveny, Rahmad Syah
    . 2020; 11(4): 296-301
    » Abstract » doi: 10.31838/jcdr.2020.11.04.53

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    Most Cited Articles
    This is an open access journal which means that all content is freely available without charge to the user or his/her institution. Users are allowed to read, download, copy, distribute, print, search, or link to the full texts of the articles in this journal without asking prior permission from the publisher or the author. This is in accordance with the Budapest Open Access Initiative (BOAI) definition of open access.
    The articles in Journal of Cardiovascular Disease Research are open access articles licensed under the terms of the Creative Commons Attribution Non-Commercial License (http://creativecommons.org/licenses/by-nc-sa/3.0/) which permits unrestricted, non-commercial use, distribution and reproduction in any medium, provided the work is properly cited.
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