Nikunj Shah

63 total papers · 1.2k total citations
22 papers, 484 citations indexed

About

Nikunj Shah is a scholar working on Hepatology, Epidemiology and Surgery. According to data from OpenAlex, Nikunj Shah has authored 22 papers receiving a total of 484 indexed citations (citations by other indexed papers that have themselves been cited), including 12 papers in Hepatology, 9 papers in Epidemiology and 5 papers in Surgery. Recurrent topics in Nikunj Shah's work include Liver Disease Diagnosis and Treatment (7 papers), Liver Disease and Transplantation (5 papers) and Hepatitis C virus research (5 papers). Nikunj Shah is often cited by papers focused on Liver Disease Diagnosis and Treatment (7 papers), Liver Disease and Transplantation (5 papers) and Hepatitis C virus research (5 papers). Nikunj Shah collaborates with scholars based in United States, Switzerland and Australia. Nikunj Shah's co-authors include David H. Van Thiel, Sohrab Mobarhan, Kapil Mehta, Gordon M. Parkinson, Gérrard Eddy Jai Poinern, Derek Fawcett, Gamini Senanayake, Shriram Jakate, Stephen C. Meredith and Michael D. Sitrin and has published in prestigious journals such as Hepatology, Journal of Virology and CHEST Journal.

In The Last Decade

Nikunj Shah

21 papers receiving 461 citations

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author Last Decade Papers Cites
Nikunj Shah 246 139 71 66 54 22 484
Zhigang Huang 167 0.7× 56 0.4× 118 1.7× 76 1.2× 47 0.9× 30 466
Hong Lan Li 93 0.4× 40 0.3× 84 1.2× 114 1.7× 36 0.7× 17 456
Hsin‐Hung Huang 90 0.4× 54 0.4× 17 0.2× 93 1.4× 93 1.7× 34 465
F. Lemonnier 65 0.3× 33 0.2× 31 0.4× 103 1.6× 128 2.4× 27 521
Jia Liu 86 0.3× 23 0.2× 22 0.3× 131 2.0× 53 1.0× 23 432
A. Ligabue 225 0.9× 290 2.1× 66 0.9× 39 0.6× 94 1.7× 21 462
Yu. O. Shulpekova 145 0.6× 58 0.4× 52 0.7× 119 1.8× 85 1.6× 37 506
L. Aparisi 171 0.7× 61 0.4× 22 0.3× 39 0.6× 244 4.5× 20 500
Giulia Paolella 283 1.2× 66 0.5× 94 1.3× 190 2.9× 95 1.8× 16 476
Shuping Que 248 1.0× 90 0.6× 83 1.2× 65 1.0× 69 1.3× 19 467

Countries citing papers authored by Nikunj Shah

Since Specialization
Citations

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

Fields of papers citing papers by Nikunj Shah

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Nikunj Shah

This figure shows the co-authorship network connecting the top 25 collaborators of Nikunj Shah. A scholar is included among the top collaborators of Nikunj Shah 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 Nikunj Shah. Nikunj Shah is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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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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