Satheesh Nair

5.9k citations
109 papers · 4.3k · h-index 27

Impact in

  • Hepatology top 0.2%
    • Liver Disease and Transplantation
    • Hepatitis C virus research
    • Liver Diseases and Immunity
    • Renal Transplantation Outcomes and Treatments

Papers in

    • Liver Disease and Transplantation 55
    • Hepatitis C virus research 29
    • Liver Diseases and Immunity 8
    • Liver Disease Diagnosis and Treatment 54
    • Hepatitis B Virus Studies 12

Satheesh Nair

103 papers receiving 4.2k citations

Peers

Satheesh Nair
Comparison fields: 5 of 112
  • Hepatology 2.2k
  • Transplantation 629
  • Epidemiology 2.6k
  • Endocrinology, Diabetes and Metabolism 703
  • Surgery 1.8k
Replace Igal Kam with:
Igal Kam United States
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Àngels Escorsell Spain
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Satheesh Nair relative to Igal Kam United States Igal Kam's profile →
Citations per field
00.5×4.3×
Igal Kam · 1×
Citations per year

Countries citing papers authored by Satheesh Nair

Since Specialization
Citations

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

Fields of papers citing papers by Satheesh Nair

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Satheesh Nair, 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 Satheesh Nair Line = papers co-authored together Satheesh Nair links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 109 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2002418
2 2000405
3 2002301
4 2004298
5 2009295
6 2002257
7 2000177
8 2001175
9 2002138
10 2003130
11 1998111
12 2000107
13 200196
14 200395
15 200190
16 200583
17 201782
18 200381
19 200253
20 200948

About Satheesh Nair

Satheesh Nair is a scholar working on Hepatology, Epidemiology, Surgery, Transplantation and Pathology and Forensic Medicine, having authored 109 papers that have together received 4.3k indexed citations. Recurring topics across this work include Liver Disease and Transplantation (55 papers), Liver Disease Diagnosis and Treatment (54 papers), Organ Transplantation Techniques and Outcomes (30 papers), Hepatitis C virus research (29 papers), Renal Transplantation Outcomes and Treatments (14 papers), Hepatitis B Virus Studies (12 papers), Liver Diseases and Immunity (8 papers) and Gallbladder and Bile Duct Disorders (6 papers). The work is most often cited by research in Hepatology (2.2k citations), Transplantation (629 citations), Epidemiology (2.6k citations), Endocrinology, Diabetes and Metabolism (703 citations) and Surgery (1.8k citations). Satheesh Nair has collaborated with scholars based in United States, United Kingdom and Hungary. Frequent co-authors include Paul J. Thuluvath, Sumita Verma, James D. Eason, Anna Mae Diehl, Robert P. Perrillo, George E. Loss, Edward P. Norkus, Gist H. Farr, C. S. Pitchumoni and Andrew L. Mason. Their work appears in journals such as The American Journal of Gastroenterology, Transplantation, Liver Transplantation, Clinical Transplantation and Gastroenterology.

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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