Anuj Gaggar

120 papers and 4.5k indexed citations i.

About

Anuj Gaggar is a scholar working on Hepatology, Epidemiology and Infectious Diseases. According to data from OpenAlex, Anuj Gaggar has authored 120 papers receiving a total of 4.5k indexed citations (citations by other indexed papers that have themselves been cited), including 95 papers in Hepatology, 92 papers in Epidemiology and 21 papers in Infectious Diseases. Recurrent topics in Anuj Gaggar’s work include Hepatitis C virus research (87 papers), Hepatitis B Virus Studies (78 papers) and Liver Disease Diagnosis and Treatment (58 papers). Anuj Gaggar is often cited by papers focused on Hepatitis C virus research (87 papers), Hepatitis B Virus Studies (78 papers) and Liver Disease Diagnosis and Treatment (58 papers). Anuj Gaggar collaborates with scholars based in United States, France and Canada. Anuj Gaggar's co-authors include André Lieber, Dmitry M. Shayakhmetov, G. Mani Subramanian, Zong-Yi Li, Shaoheng Ni, Edward Gane, John G. McHutchison, Guy C.‐K. Chan, Daniel R. Storm and Kien Trinh and has published in prestigious journals such as The Lancet, JAMA and Journal of Clinical Investigation.

In The Last Decade

Co-authorship network of co-authors of Anuj Gaggar i

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.

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).

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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