Becket Feierbach

7.2k total citations
41 papers, 1.6k citations indexed

About

Becket Feierbach is a scholar working on Epidemiology, Hepatology and Molecular Biology. According to data from OpenAlex, Becket Feierbach has authored 41 papers receiving a total of 1.6k indexed citations (citations by other indexed papers that have themselves been cited), including 33 papers in Epidemiology, 20 papers in Hepatology and 9 papers in Molecular Biology. Recurrent topics in Becket Feierbach's work include Hepatitis B Virus Studies (21 papers), Hepatitis C virus research (20 papers) and Liver Disease Diagnosis and Treatment (18 papers). Becket Feierbach is often cited by papers focused on Hepatitis B Virus Studies (21 papers), Hepatitis C virus research (20 papers) and Liver Disease Diagnosis and Treatment (18 papers). Becket Feierbach collaborates with scholars based in United States, France and Spain. Becket Feierbach's co-authors include Fred Chang, Ashley E. Fouts, Lynn W. Enquist, Tim Stearns, Margaret E. Bisher, Pamela Chan, Fulvia Verde, Jean-Philippe Stéphan, Richard Vandlen and Heidi Rommelaere and has published in prestigious journals such as Proceedings of the National Academy of Sciences, The Journal of Cell Biology and PLoS ONE.

In The Last Decade

Becket Feierbach

40 papers receiving 1.6k citations

Peers

Becket Feierbach
Comparison fields: 5 of 82
  • Epidemiology 849
  • Molecular Biology 728
  • Cell Biology 487
  • Hepatology 192
  • Infectious Diseases 172
Replace Abhilash I. Chiramel with:
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Florent C. Bender United States
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Amanda D. Stuart United Kingdom
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Hyo-Young Chung United States
Clarisse Berlioz‐Torrent France
Yong‐Hui Zheng United States
Abhilash I. Chiramel United States View profile →
Citations per field, relative to Becket Feierbach
Becket Feierbach · 1×
Citations per year, relative to Becket Feierbach
Becket Feierbach · 1×

Countries citing papers authored by Becket Feierbach

Since Specialization
Citations

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

Fields of papers citing papers by Becket Feierbach

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Becket Feierbach

This figure shows the co-authorship network connecting the top 25 collaborators of Becket Feierbach. A scholar is included among the top collaborators of Becket Feierbach 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 Becket Feierbach. Becket Feierbach 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 4
2 49
3 17
4 37
5 8
6 3
7 2
8 3
9 30
10 1
11 52
12 18
13 36
14 38
15 5
16 60
17 81
18 43
19 204
20 50

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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