Jay Tewari

1.4k total citations
17 papers, 42 citations indexed

About

Jay Tewari is a scholar working on Endocrinology, Diabetes and Metabolism, Surgery and Cardiology and Cardiovascular Medicine. According to data from OpenAlex, Jay Tewari has authored 17 papers receiving a total of 42 indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Endocrinology, Diabetes and Metabolism, 4 papers in Surgery and 4 papers in Cardiology and Cardiovascular Medicine. Recurrent topics in Jay Tewari's work include Blood Pressure and Hypertension Studies (3 papers), Diabetes, Cardiovascular Risks, and Lipoproteins (3 papers) and Liver Disease Diagnosis and Treatment (2 papers). Jay Tewari is often cited by papers focused on Blood Pressure and Hypertension Studies (3 papers), Diabetes, Cardiovascular Risks, and Lipoproteins (3 papers) and Liver Disease Diagnosis and Treatment (2 papers). Jay Tewari collaborates with scholars based in India, United States and Australia. Jay Tewari's co-authors include Anuj Maheshwari, Savneet Kaur, Faraz Ahmad, Sabiha Khatoon, Akhil Sharma, Gaurav Chaudhary, Rishi Sethi, Javed Ahmed, Virendra Atam and Narsingh Verma and has published in prestigious journals such as SHILAP Revista de lepidopterología, Naunyn-Schmiedeberg s Archives of Pharmacology and Journal of Human Hypertension.

In The Last Decade

Jay Tewari

12 papers receiving 42 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Jay Tewari India 4 16 10 10 9 7 17 42
Małgorzata Szpakowicz Poland 5 11 0.7× 7 0.7× 14 1.4× 6 0.7× 25 3.6× 9 59
Khin Swe Myint United Kingdom 3 10 0.6× 12 1.2× 15 1.5× 7 0.8× 6 0.9× 5 41
S. Hernández Spain 5 10 0.6× 9 0.9× 10 1.0× 4 0.4× 5 0.7× 8 31
Katsiaryna Prystupa Germany 5 28 1.8× 11 1.1× 12 1.2× 3 0.3× 5 0.7× 12 61
Kannan Shankar Singapore 3 10 0.6× 6 0.6× 12 1.2× 4 0.4× 19 2.7× 5 40
Site Xu China 4 6 0.4× 4 0.4× 11 1.1× 5 0.6× 3 0.4× 6 40
Rodolfo Lahsen Chile 4 21 1.3× 16 1.6× 15 1.5× 2 0.2× 6 0.9× 4 36
Rachel Goh Singapore 4 10 0.6× 15 1.5× 11 1.1× 8 0.9× 39 5.6× 12 67
Jesús Iturralde-Iriso Spain 4 19 1.2× 4 0.4× 3 0.3× 4 0.4× 4 0.6× 9 35
Viktoriya Furdela Ukraine 4 8 0.5× 5 0.5× 4 0.4× 9 1.0× 5 0.7× 6 33

Countries citing papers authored by Jay Tewari

Since Specialization
Citations

This map shows the geographic impact of Jay Tewari'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 Jay Tewari with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jay Tewari more than expected).

Fields of papers citing papers by Jay Tewari

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Jay Tewari. 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 Jay Tewari. The network helps show where Jay Tewari may publish in the future.

Co-authorship network of co-authors of Jay Tewari

This figure shows the co-authorship network connecting the top 25 collaborators of Jay Tewari. A scholar is included among the top collaborators of Jay Tewari 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 Jay Tewari. Jay Tewari is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

17 of 17 papers shown
1.
Tewari, Jay, et al.. (2025). Artificial intelligence for diabetes management – a review. 12(1). 24–32.
3.
Tewari, Jay, et al.. (2025). Association between antihypertensive drug use and the risk of depression: a systematic review and network meta-analysis. Journal of Human Hypertension. 39(4). 246–253.
4.
Tewari, Jay, et al.. (2025). Efficacy and safety of imeglimin, a novel oral agent in the management of type 2 diabetes mellitus: a systematic review and meta-analysis. Naunyn-Schmiedeberg s Archives of Pharmacology. 398(10). 14501–14513. 2 indexed citations
5.
Tewari, Jay, et al.. (2025). Efficacy and safety of triple hormone receptor agonist retatrutide for the management of obesity: a systematic review and meta-analysis. Expert Review of Clinical Pharmacology. 18(1-2). 51–66. 4 indexed citations
7.
Tewari, Jay, et al.. (2024). Safety and Efficacy of Remogliflozin in People With Type 2 Diabetes Mellitus: A Systematic Review and Meta-Analysis. Cureus. 16(8). e66145–e66145. 3 indexed citations
8.
Tewari, Jay, et al.. (2024). Azelnidipine and its role in decreasing urinary albumin creatinine ratio in people with type 2 diabetes and hypertension: a systematic review and meta-analysis. Journal of Diabetes & Metabolic Disorders. 24(1). 7–7. 1 indexed citations
9.
Tewari, Jay, et al.. (2024). Cerebral venous sinus thrombosis due to desogestrel intake in a young lady: A case report. SHILAP Revista de lepidopterología. 12(3). e8594–e8594. 1 indexed citations
13.
Tewari, Jay, et al.. (2023). Cost-Effective Offloading of Diabetic Foot Ulcer in a Resource-Crunch Setting: A Case Report. Cureus. 15(12). e51173–e51173. 2 indexed citations
14.
Tewari, Jay, et al.. (2022). Dermatoglyphics - A predictor of disease. Asian Journal of Medical Sciences. 13(6). 193–196.
16.
Tewari, Jay, et al.. (2021). Effect of COVID 19 Lockdown on glycemic parameters in people with type 2 diabetes. SHILAP Revista de lepidopterología. 10(7). 2529–2532. 6 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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