Yogesh Chawla

18.1k total citations · 1 hit paper
277 papers, 8.5k citations indexed

About

Yogesh Chawla is a scholar working on Hepatology, Epidemiology and Surgery. According to data from OpenAlex, Yogesh Chawla has authored 277 papers receiving a total of 8.5k indexed citations (citations by other indexed papers that have themselves been cited), including 198 papers in Hepatology, 179 papers in Epidemiology and 73 papers in Surgery. Recurrent topics in Yogesh Chawla's work include Liver Disease Diagnosis and Treatment (157 papers), Liver Disease and Transplantation (113 papers) and Hepatitis C virus research (51 papers). Yogesh Chawla is often cited by papers focused on Liver Disease Diagnosis and Treatment (157 papers), Liver Disease and Transplantation (113 papers) and Hepatitis C virus research (51 papers). Yogesh Chawla collaborates with scholars based in India, United States and Australia. Yogesh Chawla's co-authors include Radha K. Dhiman, Ajay Duseja, J B Dilawari, Ashim Das, Ritesh Agarwal, Jang B. Dilawari, Arpita Sharma, Naveen Kalra, Kiran K. Thumburu and Sunil Taneja and has published in prestigious journals such as The Lancet, SHILAP Revista de lepidopterología and Gastroenterology.

In The Last Decade

Yogesh Chawla

272 papers receiving 8.2k citations

Hit Papers

Asia–Pacific Working Party on Non‐alcoholic Fatty Liver D... 2017 2026 2020 2023 2017 100 200 300

Peers

Yogesh Chawla
Comparison fields: 5 of 146
  • Hepatology 5.7k
  • Epidemiology 5.4k
  • Surgery 2.8k
  • Endocrinology, Diabetes and Metabolism 768
  • Molecular Biology 763
Replace Radha K. Dhiman with:
Radha K. Dhiman India
Hugo R. Rosen United States
Aleksander Krag Denmark
Jorge Rakela United States
Joseph K. Lim United States
Flemming Bendtsen Denmark
John O’Grady United Kingdom
Paul Calès France
Agustı́n Albillos Spain
Paul J. Thuluvath United States
Radha K. Dhiman India View profile →
Citations per field, relative to Yogesh Chawla
Yogesh Chawla · 1×
Citations per year, relative to Yogesh Chawla
Yogesh Chawla · 1×

Countries citing papers authored by Yogesh Chawla

Since Specialization
Citations

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

Fields of papers citing papers by Yogesh Chawla

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Yogesh Chawla

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

All Works

20 of 20 papers shown
# Work Indexed citations
1 1
2 14
3 4
4 37
5
Association of interleukin-10 with hepatitis B virus (HBV) mediated disease progression in Indian population
10
6 34
7 38
8 54
9 7
10 22
11 36
12 31
13 98
14 7
15 108
16
Prevalence & significance of hepatitis C virus (HCV) seropositivity in blood donors.
34
17 1
18 123
19 31
20 29

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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