Hide Tsukamoto

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

Impact in

Papers in

Hide Tsukamoto

10 papers receiving 1.0k citations

Hit Papers

Enteric dysbiosis associated with a mouse model of alcoholic liver disease 2010 · 639 citations
6392010202620152020200400600

Peers

Hide Tsukamoto
Comparison fields: 5 of 78
  • Hepatology 270
  • Pathology and Forensic Medicine 349
  • Biological Psychiatry 46
  • Epidemiology 572
  • Biochemistry 56
Replace Christian Schäfer with:
Christian Schäfer Germany
J. C. Bode Germany
Miriam Longo Italy
Jan Petrášek United States
Kyle L. Poulsen United States
Oriol Morales‐Ibanez Spain
Rui‐Xu Yang China
Annette Brandt Austria
Rohit Sahai India
Fahrettin Haczeyni Australia
Hide Tsukamoto relative to Christian Schäfer Germany Christian Schäfer's profile →
Citations per field
00.5×3.2×
Christian Schäfer · 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-authorship network

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 201033
2
Enteric dysbiosis associated with a mouse model of alcoholic liver disease
Hit paper breakdown →
2010639
3 2010108
4 200850
5 2007105
6 200533
7 200559
8 20022
9 200213
10 200017

About Hide Tsukamoto

Hide Tsukamoto is a scholar working on Hepatology, Pathology and Forensic Medicine, Biochemistry, Epidemiology and Pharmacology, having authored 10 papers that have together received 1.1k indexed citations. Recurring topics across this work include Liver Disease Diagnosis and Treatment (8 papers), Alcohol Consumption and Health Effects (5 papers), Liver physiology and pathology (3 papers), Peroxisome Proliferator-Activated Receptors (3 papers), Lipid metabolism and biosynthesis (2 papers), RNA modifications and cancer (1 paper), Wnt/β-catenin signaling in development and cancer (1 paper) and Cancer-related molecular mechanisms research (1 paper). The work is most often cited by research in Hepatology (270 citations), Pathology and Forensic Medicine (349 citations), Biological Psychiatry (46 citations), Epidemiology (572 citations) and Biochemistry (56 citations). Hide Tsukamoto has collaborated with scholars based in United States, Belgium and Germany. Frequent co-authors include Manolito Torralba, William Nelson, Derrick E. Fouts, Bernd Schnabl, Peter Stärkel, Arthur W. Yan, Eckart Schott, David A. Brenner, Hasmik Mkrtchyan and Jiaohong Wang. Their work appears in journals such as Hepatology, The Keio Journal of Medicine, Alcoholism Clinical and Experimental Research, Substance Use & Misuse 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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