Hide Tsukamoto

1.3k citations
10 papers · 1.1k · 1 hit paper · h-index 9

Impact in

Papers in

Hide Tsukamoto

10 papers receiving 1.1k citations

Hide Tsukamoto's Hit Papers

Enteric dysbiosis associated with a mouse model of alcoholic liver disease 2010 · 650 citations
6500+5+10Years since publication200400600

Peers

Hide Tsukamoto
Comparison fields: 5 of 74
  • Hepatology 238
  • Pathology and Forensic Medicine 348
  • Biological Psychiatry 37
  • Epidemiology 468
  • Molecular Biology 464
Replace J. C. Bode with:
J. C. Bode Germany
Miriam Longo Italy
Jan Petrášek United States
Fahrettin Haczeyni Australia
Alessandra Forgione Italy
Rohit Sahai India
Annette Brandt Austria
Irma García‐Martinez Spain
Ulrich A. Simanowski Germany
Daniel Jahn Germany
Hide Tsukamoto relative to J. C. Bode Germany J. C. Bode's profile →
Citations per field
00.5×2.9×
J. C. Bode · 1×
Citations per year

Countries citing papers authored by Hide Tsukamoto

Since Specialization
Citations

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

Fields of papers citing papers by Hide Tsukamoto

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

10 of 10 papers shown
#Work
1
Enteric dysbiosis associated with a mouse model of alcoholic liver disease
Hit paper breakdown →
2010650
2 2010109
3 2007107
4 200559
5 200850
6 200533
7 201033
8 200017
9 200213
10 20022

About Hide Tsukamoto

Hide Tsukamoto is a scholar working on Epidemiology, Pathology and Forensic Medicine, Molecular Biology, Hepatology and Biochemistry, having authored 10 papers that have together received 1.1k indexed citations. Recurring topics across this work include Liver Disease Diagnosis and Treatment (6 papers), Alcohol Consumption and Health Effects (5 papers), Peroxisome Proliferator-Activated Receptors (3 papers), Liver physiology and pathology (3 papers), Lipid metabolism and biosynthesis (2 papers), Pharmacogenetics and Drug Metabolism (1 paper), RNA modifications and cancer (1 paper) and Cancer-related molecular mechanisms research (1 paper). The work is most often cited by research in Hepatology (238 citations), Pathology and Forensic Medicine (348 citations), Biological Psychiatry (37 citations), Epidemiology (468 citations) and Molecular Biology (464 citations). Hide Tsukamoto has collaborated with scholars based in United States, Germany and Belgium. Frequent co-authors include Bernd Schnabl, Manolito Torralba, Arthur W. Yan, Eckart Schott, Peter Stärkel, David A. Brenner, Derrick E. Fouts, Hasmik Mkrtchyan, Steven J. Bensinger and Kevin Wroblewski. Their work appears in journals such as Hepatology, Gastroenterology, The Keio Journal of Medicine, Alcoholism Clinical and Experimental Research and Journal of Biological Chemistry.

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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