Junya Mitoma

37 papers receiving 1.9k citations

Peers

Junya Mitoma
Comparison fields: 5 of 86
  • Biochemistry 423
  • Immunology and Allergy 223
  • Clinical Biochemistry 204
  • Developmental Neuroscience 104
  • Immunology 430
Replace Jon E. Chatterton with:
Jon E. Chatterton United States
Yi‐Shuian Huang Taiwan
Alexander Reuter Germany
Brigitte Anliker Germany
Vera Novitskaya United Kingdom
Jesús M. Ureña Spain
Yasunori Saheki Singapore
Terukatsu Sasaki Japan
Frans W. Verheijen Netherlands
Dario De Cesare Italy
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Citations per field
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Jon E. Chatterton · 1×
Citations per year

Countries citing papers authored by Junya Mitoma

Since Specialization
Citations

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

Fields of papers citing papers by Junya Mitoma

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 37 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2000174
2 2001173
3 2001170
4 2005157
5 2007152
6 2004124
7 1998109
8 2004104
9 199885
10 200378
11 199877
12 200462
13 199847
14 200643
15 201541
16 201241
17 201135
18 200828
19 200125
20 199124

About Junya Mitoma

Junya Mitoma is a scholar working on Molecular Biology, Immunology and Allergy, Immunology, Biochemistry and Cellular and Molecular Neuroscience, having authored 37 papers that have together received 1.9k indexed citations. Recurring topics across this work include Glycosylation and Glycoproteins Research (15 papers), Cell Adhesion Molecules Research (9 papers), Amino Acid Enzymes and Metabolism (8 papers), Metabolism and Genetic Disorders (6 papers), Epigenetics and DNA Methylation (6 papers), Lipid Membrane Structure and Behavior (6 papers), Galectins and Cancer Biology (5 papers) and Neuroscience and Neuropharmacology Research (4 papers). The work is most often cited by research in Biochemistry (423 citations), Immunology and Allergy (223 citations), Clinical Biochemistry (204 citations), Developmental Neuroscience (104 citations) and Immunology (430 citations). Junya Mitoma has collaborated with scholars based in Japan, United States and Taiwan. Frequent co-authors include Yoshio Hirabayashi, Shigeki Furuya, Minoru Fukuda, Miwako Yamasaki, Masahiko Watanabe, John B. Lowe, Jun Nakayama, Keiko Yamada, Asami Makino and Bronislawa Petryniak. Their work appears in journals such as Journal of Biological Chemistry, Journal of Histochemistry & Cytochemistry, Methods in enzymology on CD-ROM/Methods in enzymology, Biochemical and Biophysical Research Communications 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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