Michael J. Bouchard

4.0k citations
42 papers · 3.3k · h-index 31

Impact in

  • Hepatology top 0.5%
    • Hepatitis C virus research
    • Liver physiology and pathology
    • Hepatitis B Virus Studies
    • Liver Disease Diagnosis and Treatment

Papers in

    • Hepatitis B Virus Studies 30
    • Liver Disease Diagnosis and Treatment 13
    • Hepatitis C virus research 13
    • Liver physiology and pathology 7

Michael J. Bouchard

41 papers receiving 3.2k citations

Peers

Michael J. Bouchard
Comparison fields: 5 of 121
  • Hepatology 1.1k
  • Epidemiology 1.9k
  • Virology 104
  • Cancer Research 277
  • Cell Biology 268
Replace Hangping Yao with:
Hangping Yao China
Young Chul Sung South Korea
H. Mueller Switzerland
Cécile Voisset France
Lars Mattsson Sweden
Jun Ogasawara Japan
Hong Xie United States
Anna M. Grabowska United Kingdom
Douglas M. Jefferson United States
Michael J. Bouchard relative to Hangping Yao China Hangping Yao's profile →
Citations per field
00.5×2.6×
Hangping Yao · 1×
Citations per year

Countries citing papers authored by Michael J. Bouchard

Since Specialization
Citations

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

Fields of papers citing papers by Michael J. Bouchard

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Michael J. Bouchard. 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 Michael J. Bouchard. The network helps show where Michael J. Bouchard may publish in the future.

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 42 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2004418
2 2001337
3 2000153
4 2009143
5 2015139
6 2016133
7 2010124
8 2014121
9 2014115
10 2003108
11 2008106
12 201696
13 201095
14 200689
15 201885
16 200981
17 200181
18 200772
19 201170
20 201369

About Michael J. Bouchard

Michael J. Bouchard is a scholar working on Epidemiology, Hepatology, Molecular Biology, Cancer Research and Surgery, having authored 42 papers that have together received 3.3k indexed citations. Recurring topics across this work include Hepatitis B Virus Studies (30 papers), Liver Disease Diagnosis and Treatment (13 papers), Hepatitis C virus research (13 papers), Liver physiology and pathology (7 papers), NF-κB Signaling Pathways (5 papers), Endoplasmic Reticulum Stress and Disease (4 papers), Cell death mechanisms and regulation (3 papers) and 3D Printing in Biomedical Research (3 papers). The work is most often cited by research in Hepatology (1.1k citations), Epidemiology (1.9k citations), Virology (104 citations), Cancer Research (277 citations) and Cell Biology (268 citations). Michael J. Bouchard has collaborated with scholars based in United States, Canada and Italy. Frequent co-authors include Robert J. Schneider, Lihua Wang, Amy J. Clippinger, Sumedha Bagga, Siddhartha Rawat, Betty L. Slagle, Jason Lamontagne, Sonia Navas, Bei Yang and Young Bok Kang. Their work appears in journals such as Journal of Virology, Virology, Virus Research, PLoS ONE and Molecular Neurobiology.

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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