Kazuhito Gotoh

726 citations
20 papers · 495 indexed · h-index 12
Topics
Immunotherapy and Immune Responses (4 papers)Immune Response and Inflammation (4 papers)T-cell and B-cell Immunology (4 papers)
Partner nations
JapanGermanyBelarus

In The Last Decade

Kazuhito Gotoh

20 papers receiving 489 citations

Peers

Kazuhito Gotoh
Comparison fields: 5 of 81
  • Immunology 218
  • Molecular Biology 216
  • Physiology 74
  • Epidemiology 48
  • Cell Biology 47
Replace Z. Varga with:
Z. Varga Hungary
Sivareddy Kotla United States
Janna Nousbeck Israel
Katrin Wallbrecht Germany
Shoubi Wang China
Manuela Pillinger Austria
Luojing Chen United States
Aref G. Ebrahimi United States
N. Aoki Japan
Mario C. Manresa United States
Kazuhito Gotoh relative to Z. Varga Hungary Z. Varga's profile →
Citations per field
00.5×9.4×
Z. Varga · 1×
Citations per year

Countries citing papers authored by Kazuhito Gotoh

Since Specialization
Citations

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

Fields of papers citing papers by Kazuhito Gotoh

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Kazuhito Gotoh

This figure shows the co-authorship network connecting the top 25 collaborators of Kazuhito Gotoh. A scholar is included among the top collaborators of Kazuhito Gotoh based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Kazuhito Gotoh. Kazuhito Gotoh is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
#WorkIndexed citations
1 2
2 2
3 6
4 35
5 5
6 12
7 38
8 27
9 19
10 5
11 39
12 50
13 17
14 7
15
[An Abnormal Alpha-Fetoprotein Fractionation Provides Additional Information: A Case of Retroperitoneal Germ Cell Tumor Accompanied by Liver Cirrhosis Type C].
1
16 3
17 86
18 56
19 65
20
Comparative study of the toxic effects of gallium arsenide, indium arsenide and arsenic trioxide following intratracheal instillations to the lung of Syrian golden hamsters.
20

About Kazuhito Gotoh

Kazuhito Gotoh is a scholar working on Immunology, Clinical Biochemistry and Biochemistry, having authored 20 papers that have together received 495 indexed citations. Recurring topics across this work include Immunotherapy and Immune Responses (4 papers), Immune Response and Inflammation (4 papers) and T-cell and B-cell Immunology (4 papers). The work is most often cited by research in Immunology (218 citations), Immunology and Allergy (23 citations) and Aging (6 citations). Kazuhito Gotoh has collaborated with scholars based in Japan, Germany and Belarus. Frequent co-authors include Dongchon Kang, Yoshinori Fukui, Yoshihiko Tanaka, Daiki Setoyama, Akihiko Nishikimi, Takeshi Uchiumi, Munechika Enjoji, Ayumi Inayoshi, Mikako Yagi and Ryoichi Takayanagi. Their work appears in journals such as The Journal of Experimental Medicine, Blood and Nature Immunology.

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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