George Cholankeril

5.8k total citations · 2 hit papers
145 papers, 4.0k citations indexed

About

George Cholankeril is a scholar working on Epidemiology, Hepatology and Endocrinology, Diabetes and Metabolism. According to data from OpenAlex, George Cholankeril has authored 145 papers receiving a total of 4.0k indexed citations (citations by other indexed papers that have themselves been cited), including 114 papers in Epidemiology, 92 papers in Hepatology and 20 papers in Endocrinology, Diabetes and Metabolism. Recurrent topics in George Cholankeril's work include Liver Disease Diagnosis and Treatment (107 papers), Liver Disease and Transplantation (72 papers) and Hepatitis C virus research (30 papers). George Cholankeril is often cited by papers focused on Liver Disease Diagnosis and Treatment (107 papers), Liver Disease and Transplantation (72 papers) and Hepatitis C virus research (30 papers). George Cholankeril collaborates with scholars based in United States, United Kingdom and Canada. George Cholankeril's co-authors include Aijaz Ahmed, Donghee Kim, Eric R. Yoo, Andrew A. Li, Brandon J. Perumpail, Muhammad Ali Khan, Stephen A. Harrison, Zobair M. Younossi, Sanjaya K. Satapathy and Chiranjeevi Gadiparthi and has published in prestigious journals such as Journal of Clinical Oncology, SHILAP Revista de lepidopterología and Annals of Internal Medicine.

In The Last Decade

George Cholankeril

137 papers receiving 4.0k citations

Hit Papers

Clinical epidemiology and disease burden of nonalcoholic ... 2017 2026 2020 2023 2017 2024 100 200 300 400 500

Peers

George Cholankeril
Comparison fields: 5 of 114
  • Epidemiology 3.0k
  • Hepatology 1.8k
  • Endocrinology, Diabetes and Metabolism 874
  • Pathology and Forensic Medicine 630
  • Surgery 604
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Citations per field, relative to George Cholankeril
George Cholankeril · 1×
Citations per year, relative to George Cholankeril
George Cholankeril · 1×

Countries citing papers authored by George Cholankeril

Since Specialization
Citations

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

Fields of papers citing papers by George Cholankeril

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of George Cholankeril

This figure shows the co-authorship network connecting the top 25 collaborators of George Cholankeril. A scholar is included among the top collaborators of George Cholankeril 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 George Cholankeril. George Cholankeril 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 5
2 0
3 1
4 20
5 2
6 8
7
GLP-1 Receptor Agonists and Risk for Cirrhosis and Related Complications in Patients With Metabolic Dysfunction-Associated Steatotic Liver Disease breakdown →
61
8 2
9 7
10 18
11 4
12 5
13 7
14 3
15 41
16 16
17 35
18 13
19 146
20 6

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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