Abhishek Vishnu

5.7k citations
29 papers · 1.1k indexed · h-index 14

Abhishek Vishnu

28 papers receiving 1.1k citations

Peers

Abhishek Vishnu
Comparison fields: 5 of 116
  • Modeling and Simulation 95
  • Endocrinology, Diabetes and Metabolism 248
  • Pulmonary and Respiratory Medicine 374
  • General Dentistry 14
  • Cardiology and Cardiovascular Medicine 168
Replace Fu‐Rong Li with:
Fu‐Rong Li China
Ivan Comelli Italy
Jonathan Yap Singapore
Jun‐Hong Yan China
Elissa Driggin United States
Nicholas G. Bircher United States
Kuen‐Cheh Yang Taiwan
Adam Clark United States
Sheila M. Hegde United States
Haleh Ashraf Iran
Abhishek Vishnu relative to Fu‐Rong Li China Fu‐Rong Li's profile →
Citations per field
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Citations per year

Countries citing papers authored by Abhishek Vishnu

Since Specialization
Citations

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

Fields of papers citing papers by Abhishek Vishnu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

The 25 scholars most cited alongside Abhishek Vishnu, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Abhishek Vishnu Line = papers co-authored together Abhishek Vishnu links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown
#Work
1 20197
2 20188
3 201735
4 201772
5 201710
6 201711
7 20172
8 20166
9 201622
10 20162
11 201619
12 20151
13 201524
14 201535
15 201437
16 201495
17 20138
18 201073
19 2010327
20 20101

About Abhishek Vishnu

Abhishek Vishnu is a scholar working on Endocrinology, Diabetes and Metabolism, Cardiology and Cardiovascular Medicine and Pathology and Forensic Medicine, having authored 29 papers that have together received 1.1k indexed citations. Recurring topics across this work include Diabetes, Cardiovascular Risks, and Lipoproteins (9 papers), Cardiovascular Health and Disease Prevention (8 papers), Liver Disease Diagnosis and Treatment (7 papers), Cardiovascular Disease and Adiposity (4 papers), Blood Pressure and Hypertension Studies (4 papers), Adipokines, Inflammation, and Metabolic Diseases (4 papers), Phytoestrogen effects and research (3 papers) and Respiratory viral infections research (2 papers). The work is most often cited by research in Modeling and Simulation (95 citations), Endocrinology, Diabetes and Metabolism (248 citations) and Pulmonary and Respiratory Medicine (374 citations). Abhishek Vishnu has collaborated with scholars based in United States, Japan and South Korea. Frequent co-authors include Mark D. DeBoer, Matthew J. Gurka, William G. Lindsley, Françoise M. Blachère, Robert E. Thewlis, Karen Clark, Donald H. Beezhold, Kristina A. Davis, Melanie Fisher and Rashida Khakoo. Their work appears in journals such as Circulation, SHILAP Revista de lepidopterología and PLoS ONE.

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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