Koichi Mitsuya

2.1k citations
83 papers · 1.5k · h-index 23

Impact in

  • Genetics top 2%
    • Glioma Diagnosis and Treatment
  • Oncology top 5%
    • Lung Cancer Research Studies
    • Cancer Immunotherapy and Biomarkers
    • CAR-T cell therapy research

Papers in

Koichi Mitsuya

76 papers receiving 1.4k citations

Peers

Koichi Mitsuya
Comparison fields: 5 of 77
  • Genetics 355
  • Oncology 498
  • Pulmonary and Respiratory Medicine 515
  • Immunology 238
  • Neurology 74
Replace Jacob Ruzevick with:
Jacob Ruzevick United States
Tejus Bale United States
James S. Waldron United States
Marian C. Neidert Switzerland
Kiyotaka Yokogami Japan
Sandrine Ostermann Switzerland
Karin Gustafsson United States
Alberto Franzin Italy
Nicole Parker Australia
Stefania Scarpino Italy
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Citations per field
00.5×1.5×2.4×
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Citations per year

Countries citing papers authored by Koichi Mitsuya

Since Specialization
Citations

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

Fields of papers citing papers by Koichi Mitsuya

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 83 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2010153
2 201088
3 201681
4 201180
5 201273
6 201963
7 201655
8 202049
9 200542
10 201941
11 201139
12 201435
13 201735
14 201434
15 202032
16 201930
17 201728
18 201728
19 200927
20 201127

About Koichi Mitsuya

Koichi Mitsuya is a scholar working on Pulmonary and Respiratory Medicine, Genetics, Oncology, Surgery and Epidemiology, having authored 83 papers that have together received 1.5k indexed citations. Recurring topics across this work include Brain Metastases and Treatment (35 papers), Glioma Diagnosis and Treatment (20 papers), Meningioma and schwannoma management (9 papers), Head and Neck Surgical Oncology (6 papers), Management of metastatic bone disease (5 papers), Lung Cancer Research Studies (5 papers), Cancer Immunotherapy and Biomarkers (5 papers) and Immunotherapy and Immune Responses (4 papers). The work is most often cited by research in Genetics (355 citations), Oncology (498 citations), Pulmonary and Respiratory Medicine (515 citations), Immunology (238 citations) and Neurology (74 citations). Koichi Mitsuya has collaborated with scholars based in Japan, China and Russia. Frequent co-authors include Yoko Nakasu, Nakamasa Hayashi, Hideyuki Harada, Masahiro Endo, Takashi Sugino, Satoshi Horiguchi, Tadashi Ashizawa, Yasuto Akiyama, Akira Iizuka and Ken Yamaguchi. Their work appears in journals such as Neurologia medico-chirurgica, Journal of Neuro-Oncology, BMC Cancer, International Journal of Clinical Oncology and Immunology 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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