Tsuneo Kitamura

68 papers receiving 2.7k citations

Peers

Tsuneo Kitamura
Comparison fields: 5 of 99
  • Hepatology 648
  • Epidemiology 1.0k
  • Endocrine and Autonomic Systems 195
  • Pathology and Forensic Medicine 292
  • Pharmacology 143
Replace Antonio Franchitto with:
Antonio Franchitto Italy
Shi Qi Yang United States
J.A. Solís-Herruzo Spain
Ronit Shiri‐Sverdlov Netherlands
Michele T. Pritchard United States
Z. Spolarics United States
Svetlana Radaeva United States
Miyoko Hirose Japan
J Schölmerich Germany
Shunhei Yamashina Japan
Tsuneo Kitamura relative to Antonio Franchitto Italy Antonio Franchitto's profile →
Citations per field
00.5×1.5×
Antonio Franchitto · 1×
Citations per year

Countries citing papers authored by Tsuneo Kitamura

Since Specialization
Citations

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

Fields of papers citing papers by Tsuneo Kitamura

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 72 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2002322
2 2001237
3 2002191
4 1990191
5 2002143
6 2000106
7 2009105
8 200296
9 200196
10 200191
11 199891
12 200689
13 200273
14 199166
15 199051
16 200049
17 199242
18 200641
19 200938
20 200637

About Tsuneo Kitamura

Tsuneo Kitamura is a scholar working on Surgery, Hepatology, Oncology, Molecular Biology and Epidemiology, having authored 72 papers that have together received 2.8k indexed citations. Recurring topics across this work include Liver physiology and pathology (14 papers), Liver Disease Diagnosis and Treatment (9 papers), Drug Transport and Resistance Mechanisms (9 papers), Immune Response and Inflammation (8 papers), Neonatal Health and Biochemistry (6 papers), Alcohol Consumption and Health Effects (6 papers), Regulation of Appetite and Obesity (5 papers) and Pancreatic function and diabetes (5 papers). The work is most often cited by research in Hepatology (648 citations), Epidemiology (1.0k citations), Endocrine and Autonomic Systems (195 citations), Pathology and Forensic Medicine (292 citations) and Pharmacology (143 citations). Tsuneo Kitamura has collaborated with scholars based in Japan, United States and Netherlands. Frequent co-authors include Kenichi Ikejima, Nobuhiro Sato, Yoshiyuki Takei, Miyoko Hirose, Nobuyuki Enomoto, Mutsuko Yoshikawa, Hajime Honda, Shunhei Yamashina, Zenaida Gatmaitan and Tie Lang. Their work appears in journals such as Hepatology, Alcoholism Clinical and Experimental Research, Biochemical and Biophysical Research Communications, Journal of Gastroenterology and Hepatology and Gastroenterology.

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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