Geevar Zachariah

3.3k total citations
8 papers, 394 citations indexed

About

Geevar Zachariah is a scholar working on Cardiology and Cardiovascular Medicine, Endocrinology, Diabetes and Metabolism and Health Information Management. According to data from OpenAlex, Geevar Zachariah has authored 8 papers receiving a total of 394 indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Cardiology and Cardiovascular Medicine, 3 papers in Endocrinology, Diabetes and Metabolism and 2 papers in Health Information Management. Recurrent topics in Geevar Zachariah's work include Acute Myocardial Infarction Research (4 papers), Diabetes, Cardiovascular Risks, and Lipoproteins (3 papers) and Heart Failure Treatment and Management (2 papers). Geevar Zachariah is often cited by papers focused on Acute Myocardial Infarction Research (4 papers), Diabetes, Cardiovascular Risks, and Lipoproteins (3 papers) and Heart Failure Treatment and Management (2 papers). Geevar Zachariah collaborates with scholars based in India, United States and United Kingdom. Geevar Zachariah's co-authors include P.P. Mohanan, S Harikrishnan, Kavumpurathu Raman Thankappan, K Venugopal, Lakshmanan Jeyaseelan, G. Sanjay, Jaideep Menon, Mark D. Huffman, Manoj A. Thomas and Rony Mathew and has published in prestigious journals such as PLoS ONE, European Heart Journal and International Journal of Cardiology.

In The Last Decade

Geevar Zachariah

8 papers receiving 370 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name	h						Papers	Cites
Geevar Zachariah India	5	261	73	70	55	47	8	394
Sudhir Naik India	6	371 1.4×	124 1.7×	51 0.7×	68 1.2×	54 1.1×	8	512
Sharmini Selvarajah Malaysia	10	152 0.6×	44 0.6×	88 1.3×	30 0.5×	33 0.7×	22	405
Maity Ak India	5	359 1.4×	112 1.5×	47 0.7×	68 1.2×	56 1.2×	12	478
Heli Koukkunen Finland	14	365 1.4×	67 0.9×	71 1.0×	121 2.2×	16 0.3×	22	537
Akinyemi Aje Nigeria	11	405 1.6×	42 0.6×	34 0.5×	38 0.7×	28 0.6×	42	522
Kadhim Sulaiman Oman	11	265 1.0×	67 0.9×	26 0.4×	44 0.8×	12 0.3×	27	355
Tiny Nair India	12	297 1.1×	80 1.1×	93 1.3×	17 0.3×	11 0.2×	47	459
Javier García Alegría Spain	12	96 0.4×	33 0.5×	114 1.6×	42 0.8×	41 0.9×	38	364
Khalid Alnemer Saudi Arabia	13	411 1.6×	77 1.1×	61 0.9×	40 0.7×	16 0.3×	29	596
Kathleen Blackett Ngu Cameroon	9	255 1.0×	15 0.2×	87 1.2×	31 0.6×	62 1.3×	11	468

Countries citing papers authored by Geevar Zachariah

Since Specialization

Citations

This map shows the geographic impact of Geevar Zachariah's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Geevar Zachariah with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Geevar Zachariah more than expected).

Fields of papers citing papers by Geevar Zachariah

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Geevar Zachariah. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Geevar Zachariah. The network helps show where Geevar Zachariah may publish in the future.

Co-authorship network of co-authors of Geevar Zachariah

This figure shows the co-authorship network connecting the top 25 collaborators of Geevar Zachariah. A scholar is included among the top collaborators of Geevar Zachariah based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Geevar Zachariah. Geevar Zachariah is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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8 of 8 papers shown

Calvert, Peter, Yang Chen, Ying X. Gue, et al.. (2024). One‐year outcomes of rate versus rhythm control of atrial fibrillation in the Kerala‐AF Registry. Journal of Arrhythmia. 40(4). 822–829. 1 indexed citations

Calvert, Peter, Yang Chen, Ying X. Gue, et al.. (2024). Sex differences in atrial fibrillation in India: Insights from the Kerala‐ AF registry. Journal of Arrhythmia. 41(1). e13195–e13195. 2 indexed citations

Shetty, Manu Kumar, Shekhar Kunal, M.P. Girish, et al.. (2022). Machine learning based model for risk prediction after ST-Elevation myocardial infarction: Insights from the North India ST elevation myocardial infarction (NORIN-STEMI) registry. International Journal of Cardiology. 362. 6–13. 18 indexed citations

Harikrishnan, S, G. Sanjay, Panniyammakal Jeemon, et al.. (2018). Prevalence of metabolic syndrome and its risk factors in Kerala, South India: Analysis of a community based cross-sectional study. PLoS ONE. 13(3). e0192372–e0192372. 53 indexed citations

Zachariah, Geevar, K Venugopal, P.P. Mohanan, et al.. (2016). Prevalence of coronary artery disease and its risk factors in Kerala, South India: a community-based cross-sectional study. BMC Cardiovascular Disorders. 16(1). 12–12. 86 indexed citations

Zachariah, Geevar, et al.. (2016). A Kerala model for cardiovascular research?. Indian Heart Journal. 68(6). 862–865. 1 indexed citations

Zachariah, Geevar, S Harikrishnan, P.P. Mohanan, et al.. (2013). Prevalence of coronary artery disease and coronary risk factors in Kerala, South India: A population survey – Design and methods. Indian Heart Journal. 65(3). 243–249. 41 indexed citations

Mohanan, P.P., Rony Mathew, S Harikrishnan, et al.. (2012). Presentation, management, and outcomes of 25 748 acute coronary syndrome admissions in Kerala, India: results from the Kerala ACS Registry. European Heart Journal. 34(2). 121–129. 192 indexed citations

Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.

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