Purva Gopal

4.3k citations
93 papers · 2.4k · h-index 25

Impact in

  • Hepatology top 1%
    • Hepatocellular Carcinoma Treatment and Prognosis
    • Hepatitis C virus research
    • Liver physiology and pathology
    • Liver Disease Diagnosis and Treatment
    • Hepatitis B Virus Studies

Papers in

    • Hepatocellular Carcinoma Treatment and Prognosis 17
    • Liver Disease and Transplantation 5
    • Liver Disease Diagnosis and Treatment 13

Purva Gopal

85 papers receiving 2.3k citations

Peers

Purva Gopal
Comparison fields: 5 of 94
  • Hepatology 756
  • Epidemiology 682
  • Cancer Research 253
  • Oncology 374
  • Cell Biology 174
Replace Naoki Oishi with:
Naoki Oishi Japan
Koichi Matsuzaki Japan
H. P. Dienes Germany
Emmanuelle Jeannot France
Yasunobu Matsuda Japan
Shinji Okano Japan
Hideji Nakamura Japan
Jonathan Fawcett Australia
Yue Yu China
Mette Juul Nielsen Denmark
Purva Gopal relative to Naoki Oishi Japan Naoki Oishi's profile →
Citations per field
00.5×4.4×
Naoki Oishi · 1×
Citations per year

Countries citing papers authored by Purva Gopal

Since Specialization
Citations

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

Fields of papers citing papers by Purva Gopal

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 93 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2014279
2 2019163
3 2018138
4 2013117
5 2020111
6 201999
7 201397
8 201791
9 202272
10 201468
11 201755
12 202348
13 202348
14 201846
15 201446
16 201745
17 202345
18 200843
19 200842
20 201641

About Purva Gopal

Purva Gopal is a scholar working on Hepatology, Epidemiology, Surgery, Oncology and Molecular Biology, having authored 93 papers that have together received 2.4k indexed citations. Recurring topics across this work include Hepatocellular Carcinoma Treatment and Prognosis (17 papers), Liver Disease Diagnosis and Treatment (13 papers), Viral-associated cancers and disorders (5 papers), Liver Disease and Transplantation (5 papers), Helicobacter pylori-related gastroenterology studies (4 papers), Eosinophilic Esophagitis (4 papers), Epigenetics and DNA Methylation (4 papers) and Pancreatic and Hepatic Oncology Research (4 papers). The work is most often cited by research in Hepatology (756 citations), Epidemiology (682 citations), Cancer Research (253 citations), Oncology (374 citations) and Cell Biology (174 citations). Purva Gopal has collaborated with scholars based in United States, United Kingdom and Germany. Frequent co-authors include Amit G. Singal, Adam C. Yopp, Jorge A. Marrero, Akbar K. Waljee, Muhammad Shaalan Beg, Hao Zhu, Nicole E. Rich, Tiffany Chen, Joseph C. Parker and John R. Parker. Their work appears in journals such as Archives of Pathology & Laboratory Medicine, Clinical Gastroenterology and Hepatology, The American Journal of Gastroenterology, Gastroenterology and Cancer Epidemiology Biomarkers & Prevention.

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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