Koji Uetsuka

2.8k citations
114 papers · 2.4k · h-index 27

Impact in

Papers in

Koji Uetsuka

111 papers receiving 2.3k citations

Peers

Koji Uetsuka
Comparison fields: 5 of 117
  • Developmental Neuroscience 101
  • Immunology 450
  • Hepatology 113
  • Cancer Research 211
  • Physiology 325
Replace Ulrich Deschl with:
Ulrich Deschl Germany
Xiao‐Fan Wang China
Sameh A. Youssef Netherlands
Takao Iwawaki Japan
Tatsuji Nomura Japan
Jhang Ho Pak South Korea
Yasu‐Taka Azuma Japan
Nobuya Sasaki Japan
Hiroshi Kitani Japan
Laurent Tesson France
Koji Uetsuka relative to Ulrich Deschl Germany Ulrich Deschl's profile →
Citations per field
00.5×2.9×
Ulrich Deschl · 1×
Citations per year

Countries citing papers authored by Koji Uetsuka

Since Specialization
Citations

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

Fields of papers citing papers by Koji Uetsuka

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 114 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2007171
2 2011152
3
BASH, a novel signaling molecule preferentially expressed in B cells of the bursa of Fabricius.
1998129
4 1998111
5 199872
6 200464
7 200560
8 199760
9 200055
10 200353
11 200351
12 199650
13 199247
14 201442
15 199741
16 199738
17 200838
18 199835
19 200633
20 201632

About Koji Uetsuka

Koji Uetsuka is a scholar working on Molecular Biology, Epidemiology, Immunology, Surgery and Oncology, having authored 114 papers that have together received 2.4k indexed citations. Recurring topics across this work include Liver Disease Diagnosis and Treatment (13 papers), Liver physiology and pathology (9 papers), Mycotoxins in Agriculture and Food (8 papers), Glycosylation and Glycoproteins Research (7 papers), Folate and B Vitamins Research (6 papers), Cancer-related Molecular Pathways (6 papers), Neurogenesis and neuroplasticity mechanisms (5 papers) and Pregnancy and preeclampsia studies (5 papers). The work is most often cited by research in Developmental Neuroscience (101 citations), Immunology (450 citations), Hepatology (113 citations), Cancer Research (211 citations) and Physiology (325 citations). Koji Uetsuka has collaborated with scholars based in Japan, United States and Germany. Frequent co-authors include Kunio Doi, Hiroyuki Nakayama, Junko Shinozuka, Keiichi Katayama, Akira Yasoshima, Hirofumi Yamauchi, Satomi Nishikawa, Hiroyuki Nakayama, Katsumi Doi and Kazuyuki Uchida. Their work appears in journals such as Experimental and Toxicologic Pathology, EXPERIMENTAL ANIMALS, Veterinary Pathology, Toxicologic Pathology and Experimental and Molecular Pathology.

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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