Michio Nakamura

3.8k total citations
120 papers, 3.0k citations indexed

About

Michio Nakamura is a scholar working on Oncology, Molecular Biology and Immunology. According to data from OpenAlex, Michio Nakamura has authored 120 papers receiving a total of 3.0k indexed citations (citations by other indexed papers that have themselves been cited), including 46 papers in Oncology, 30 papers in Molecular Biology and 28 papers in Immunology. Recurrent topics in Michio Nakamura's work include Colorectal Cancer Treatments and Studies (21 papers), Neutrophil, Myeloperoxidase and Oxidative Mechanisms (21 papers) and Gastric Cancer Management and Outcomes (17 papers). Michio Nakamura is often cited by papers focused on Colorectal Cancer Treatments and Studies (21 papers), Neutrophil, Myeloperoxidase and Oxidative Mechanisms (21 papers) and Gastric Cancer Management and Outcomes (17 papers). Michio Nakamura collaborates with scholars based in Japan, United States and Switzerland. Michio Nakamura's co-authors include Atsushi Kumatori, Shoichi Suzuki, Richard A. Ward, Kenneth R. McLeish, Frank R. DeLeo, Hisashi O̅kawa, William M. Nauseef, Shiro Kanegasaki, Michael A. Apicella and Sigeo Kida and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Journal of Biological Chemistry and Journal of Clinical Investigation.

In The Last Decade

Michio Nakamura

117 papers receiving 2.9k citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Michio Nakamura Japan 28 1.4k 961 460 424 242 120 3.0k
José A. Halperin United States 38 1.3k 0.9× 2.1k 2.2× 271 0.6× 399 0.9× 278 1.1× 101 4.7k
Paolo Carminati Italy 37 1.0k 0.7× 1.9k 2.0× 689 1.5× 236 0.6× 314 1.3× 115 4.4k
John M. Sanders United States 37 835 0.6× 1.6k 1.6× 501 1.1× 251 0.6× 321 1.3× 71 4.0k
Colleen Fearns United States 28 707 0.5× 2.0k 2.1× 422 0.9× 377 0.9× 282 1.2× 38 3.3k
Masaaki Toda Japan 31 3.1k 2.2× 1.2k 1.2× 704 1.5× 565 1.3× 288 1.2× 194 6.1k
Kim W. McIntyre United States 29 1.4k 1.0× 1.1k 1.1× 633 1.4× 215 0.5× 515 2.1× 50 3.5k
Craig Beeson United States 33 1.6k 1.1× 1.5k 1.5× 312 0.7× 245 0.6× 234 1.0× 60 3.4k
Bruce Seligmann United States 30 977 0.7× 1.4k 1.4× 246 0.5× 279 0.7× 200 0.8× 66 2.7k
Gerry A. F. Nicolaes Netherlands 34 945 0.7× 991 1.0× 150 0.3× 164 0.4× 249 1.0× 114 4.1k
Alain Schweitzer Switzerland 22 2.9k 2.0× 1.1k 1.1× 1.5k 3.2× 149 0.4× 123 0.5× 36 5.0k

Countries citing papers authored by Michio Nakamura

Since Specialization
Citations

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

Fields of papers citing papers by Michio Nakamura

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Michio Nakamura

This figure shows the co-authorship network connecting the top 25 collaborators of Michio Nakamura. A scholar is included among the top collaborators of Michio Nakamura 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 Michio Nakamura. Michio Nakamura 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
1.
Kodama, Hiroko, Yukiya Narita, Michio Nakamura, et al.. (2025). A multicenter, prospective, observational study of nivolumab readministration for advanced gastric cancer (NIVO RETURNS). Future Oncology. 21(14). 1753–1759.
3.
Kawamoto, Yasuyuki, Satoshi Yuki, Takashi Meguro, et al.. (2022). Phase II Study of Continued Trastuzumab Plus Irinotecan in Patients with HER2-positive Gastric Cancer Previously Treated with Trastuzumab (HGCSG 1201). The Oncologist. 27(5). 340–e374. 5 indexed citations
4.
Takehara, Masaya, Masahiro Nagahama, Yuta Koike, et al.. (2022). An Autopsy Case of Rapidly Aggravated Clostridium perfringens Septicemia with Colorectal Cancer. SHILAP Revista de lepidopterología. 2022. 1–5. 2 indexed citations
5.
Takahashi, Tsuyoshi, Kentaro Yamazaki, Eiji Oki, et al.. (2021). Phase II study of trifluridine/tipiracil plus bevacizumab by RAS mutation status in patients with metastatic colorectal cancer refractory to standard therapies: JFMC51-1702-C7. ESMO Open. 6(2). 100093–100093. 14 indexed citations
6.
Sunakawa, Yu, Masato Nakamura, Hironaga Satake, et al.. (2019). RAS mutations in circulating tumor DNA (ctDNA) and clinical outcomes of rechallenge treatments with anti-EGFR antibodies in patients with metastatic colorectal cancer (mCRC). Annals of Oncology. 30. iv114–iv114. 3 indexed citations
9.
Nakamura, Michio, Atsushi Ishiguro, Satoshi Yuki, et al.. (2017). A Prospective Observational Study on Effect of Short-Term Periodic Steroid Premedication on Bone Metabolism in Gastrointestinal Cancer (ESPRESSO-01). The Oncologist. 22(5). 592–600. 24 indexed citations
10.
Hatanaka, Kazuteru, Satoshi Yuki, Takashi Kato, et al.. (2015). Observational cohort study of first-line bevacizumab combined with chemotherapy in metastatic colorectal cancer (HGCSG0802): Comparison of infusional FU/oxaliplatin(OX)+BV and oral FU/OX+BV.. Journal of Clinical Oncology. 33(3_suppl). 527–527. 1 indexed citations
11.
Umemura, Machiko, et al.. (2013). A case of anti-mitochondrial M2 antibody (AMA M2) positive AIH confused with PBC-AIH overlap syndrome. Kanzo. 54(1). 44–50. 2 indexed citations
12.
Nakamura, Michio, et al.. (2010). FOXK2 transcription factor is a novel G/T-mismatch DNA binding protein. The Journal of Biochemistry. 147(5). 705–709. 18 indexed citations
14.
Burritt, James B., Frank R. DeLeo, Justin R. Prigge, et al.. (2001). Phage Display Epitope Mapping of Human Neutrophil Flavocytochromeb 558. Journal of Biological Chemistry. 276(3). 2053–2061. 58 indexed citations
15.
Ward, Richard A., Michio Nakamura, & Kenneth R. McLeish. (2000). Priming of the Neutrophil Respiratory Burst Involves p38 Mitogen-activated Protein Kinase-dependent Exocytosis of Flavocytochrome b 558-containing Granules. Journal of Biological Chemistry. 275(47). 36713–36719. 134 indexed citations
16.
Yang, Dan, Shoichi Suzuki, Hao Li, et al.. (2000). Eosinophil-specific Regulation of gp91 Gene Expression by Transcription Factors GATA-1 and GATA-2. Journal of Biological Chemistry. 275(13). 9425–9432. 32 indexed citations
17.
Sumimoto, Hideki, Ken‐ichiro Hata, Takashi Ito, et al.. (1996). Assembly and Activation of the Phagocyte NADPH Oxidase. Journal of Biological Chemistry. 271(36). 22152–22158. 157 indexed citations
18.
Emmendörffer, Andreas, Michio Nakamura, G. Rothe, et al.. (1994). Evaluation of flow cytometric methods for diagnosis of chronic granulomatous disease variants under routine laboratory conditions. Cytometry. 18(3). 147–155. 77 indexed citations
19.
Nakamura, Michio & Shigeki Minakami. (1984). Superoxide generation in macrophages: enzymatic basis and function. Ensho. 4(4). 381–382. 1 indexed citations
20.
Ohe, Keiji, et al.. (1983). Effect of H2-receptor antagonists, cimetidine and YM-11170, on serum gastrin levels in lumen-perfused rats. Digestive Diseases and Sciences. 28(11). 981–989. 17 indexed citations

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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