Junya Kohroki

571 citations
23 papers · 497 · h-index 14

Impact in

Papers in

Junya Kohroki

23 papers receiving 488 citations

Peers

Junya Kohroki
Comparison fields: 5 of 82
  • Health, Toxicology and Mutagenesis 67
  • Hematology 49
  • Molecular Biology 262
  • Immunology 74
  • Ocean Engineering 46
Replace Keely Pierzchalski with:
Keely Pierzchalski United States
Joost P.M. Melis Netherlands
Jacquelyn J. Bower United States
Michela Carbonatto United States
Hiroko Narita Japan
Hélène Stridh Sweden
Jun Kuroki Japan
Ashfaq Ahmed United States
Karen England United Kingdom
Ingrid Torregroza United States
Junya Kohroki relative to Keely Pierzchalski United States Keely Pierzchalski's profile →
Citations per field
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Keely Pierzchalski · 1×
Citations per year

Countries citing papers authored by Junya Kohroki

Since Specialization
Citations

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

Fields of papers citing papers by Junya Kohroki

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 23 papers — load more, or switch the sort, to bring in the rest.

#Work
1 200593
2 200284
3 199948
4 200147
5 199825
6 200824
7 201120
8 200318
9 199917
10 201217
11 200015
12 201014
13 200014
14 201113
15 199910
16 20128
17 20137
18 20157
19 20146
20 20115

About Junya Kohroki

Junya Kohroki is a scholar working on Molecular Biology, Radiology, Nuclear Medicine and Imaging, Oncology, Hematology and Immunology, having authored 23 papers that have together received 497 indexed citations. Recurring topics across this work include Monoclonal and Polyclonal Antibodies Research (7 papers), Ubiquitin and proteasome pathways (4 papers), Glycosylation and Glycoproteins Research (4 papers), Retinoids in leukemia and cellular processes (4 papers), Platelet Disorders and Treatments (4 papers), Blood groups and transfusion (2 papers), interferon and immune responses (2 papers) and Trace Elements in Health (2 papers). The work is most often cited by research in Health, Toxicology and Mutagenesis (67 citations), Hematology (49 citations), Molecular Biology (262 citations), Immunology (74 citations) and Ocean Engineering (46 citations). Junya Kohroki has collaborated with scholars based in Japan and United States. Frequent co-authors include Yasuhiko Masuho, Kéiichi Tanaka, Takaaki Nakamura, Norio Itoh, Tsuyoshi Nakanishi, Junichi Ishizaki, Naoki Utoguchi, Yoshiteru Watanabe, Youhei Hiromori and Shizuko Suzuki. Their work appears in journals such as Biochemical and Biophysical Research Communications, FEBS Letters, The Journal of Biochemistry, Immunology Letters and Cell Proliferation.

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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