Anuj Gaggar

14.4k total citations · 1 hit paper
126 papers, 4.8k citations indexed

About

Anuj Gaggar is a scholar working on Hepatology, Epidemiology and Infectious Diseases. According to data from OpenAlex, Anuj Gaggar has authored 126 papers receiving a total of 4.8k indexed citations (citations by other indexed papers that have themselves been cited), including 100 papers in Hepatology, 98 papers in Epidemiology and 24 papers in Infectious Diseases. Recurrent topics in Anuj Gaggar's work include Hepatitis C virus research (92 papers), Hepatitis B Virus Studies (85 papers) and Liver Disease Diagnosis and Treatment (59 papers). Anuj Gaggar is often cited by papers focused on Hepatitis C virus research (92 papers), Hepatitis B Virus Studies (85 papers) and Liver Disease Diagnosis and Treatment (59 papers). Anuj Gaggar collaborates with scholars based in United States, Canada and France. Anuj Gaggar's co-authors include André Lieber, Dmitry M. Shayakhmetov, G. Mani Subramanian, Zong-Yi Li, Shaoheng Ni, Edward Gane, John G. McHutchison, Benedetta Massetto, Beth M. Hacker and Guy C.‐K. Chan and has published in prestigious journals such as The Lancet, JAMA and Journal of Clinical Investigation.

In The Last Decade

Anuj Gaggar

118 papers receiving 4.7k citations

Hit Papers

CD46 is a cellular receptor for group B adenoviruses 2003 2026 2010 2018 2003 200 400 600

Peers

Anuj Gaggar
Comparison fields: 5 of 108
  • Epidemiology 2.7k
  • Hepatology 2.3k
  • Genetics 1.4k
  • Molecular Biology 1.3k
  • Infectious Diseases 897
Toru Okamoto Japan
Jan Pravsgaard Christensen Denmark
Kyoko Tsukiyama–Kohara Japan
Evelyne Jouvin‐Marche France
Eugene Agapov United States
William M. Schneider United States
Nathalie Grandvaux Canada
Demetrius Moskophidis United States
Stacy M. Horner United States
Maura Dandri Germany
Toru Okamoto Japan View profile →
Citations per field, relative to Anuj Gaggar
Anuj Gaggar · 1×
Citations per year, relative to Anuj Gaggar
Anuj Gaggar · 1×

Countries citing papers authored by Anuj Gaggar

Since Specialization
Citations

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

Fields of papers citing papers by Anuj Gaggar

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Anuj Gaggar

This figure shows the co-authorship network connecting the top 25 collaborators of Anuj Gaggar. A scholar is included among the top collaborators of Anuj Gaggar 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 Anuj Gaggar. Anuj Gaggar 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 8
2 17
3 37
4 30
5 10
6 1
7 11
8 20
9 1
10 7
11 11
12 15
13 2
14 71
15
Safety, Pharmacokinetics and Pharmacodynamics of Oral TLR8 Agonist GS-9688 in Patients with Chronic Hepatitis B: A Randomized, Placebo-Controlled, Double-Blind Phase 1b Study
2
16 34
17 2
18 1
19 38
20 72

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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