Kohdoh Shikata

585 citations
13 papers · 502 indexed · h-index 8
Topics
Glycosylation and Glycoproteins Research (5 papers)Monoclonal and Polyclonal Antibodies Research (5 papers)Galectins and Cancer Biology (4 papers)

In The Last Decade

Kohdoh Shikata

13 papers receiving 494 citations

Peers

Kohdoh Shikata
Comparison fields: 5 of 68
  • Molecular Biology 242
  • Immunology 210
  • Radiology, Nuclear Medicine and Imaging 151
  • Cognitive Neuroscience 123
  • Endocrine and Autonomic Systems 113
Replace Anette Karle with:
Anette Karle Switzerland
Francien T.M. Rotteveel Netherlands
Kouichi Hirota Japan
Cheng Chi Lee United States
Robert Ihnatko Slovakia
Dean A. Stetler United States
Josué O. Ramírez‐Jarquín Mexico
Fawn Connor‐Stroud United States
Alexandra Sherman United States
Sandra Jovic Switzerland
Kohdoh Shikata relative to Anette Karle Switzerland Anette Karle's profile →
Citations per field
00.5×1.5×2.3×
Anette Karle · 1×
Citations per year

Countries citing papers authored by Kohdoh Shikata

Since Specialization
Citations

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

Fields of papers citing papers by Kohdoh Shikata

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Kohdoh Shikata

This figure shows the co-authorship network connecting the top 25 collaborators of Kohdoh Shikata. A scholar is included among the top collaborators of Kohdoh Shikata 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 Kohdoh Shikata. Kohdoh Shikata is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

13 of 13 papers shown
#WorkIndexed citations
1 21
2 7
3
Immunosuppressive effect of ER-38925, a retinoic acid receptor subtype α-selective agonist, in mouse models of human graft-vs-host disease.
1
4 5
5 9
6 135
7 20
8 95
9 6
10 70
11 88
12 44
13 1

About Kohdoh Shikata

Kohdoh Shikata is a scholar working on Immunology, Virology and Behavioral Neuroscience, having authored 13 papers that have together received 502 indexed citations. Recurring topics across this work include Glycosylation and Glycoproteins Research (5 papers), Monoclonal and Polyclonal Antibodies Research (5 papers) and Galectins and Cancer Biology (4 papers). The work is most often cited by research in Endocrine and Autonomic Systems (113 citations), Immunology (210 citations) and Radiology, Nuclear Medicine and Imaging (151 citations). Kohdoh Shikata has collaborated with scholars based in Japan, United Kingdom and Switzerland. Frequent co-authors include Tsuguo Mizuochi, Munehiro Nakata, Hiroo Ogura, Carsten T. Beuckmann, Michiyuki Suzuki, Toru SAWAI, Nobuhiko Kojima, Akio Matsumoto, F Takeuchi and Fujio Takeuchi. Their work appears in journals such as Blood, Brain Research and FEBS Letters.

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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