Munehiro Nakata
Impact in
- Immunology top 2%
- Complement system in diseases
- Invertebrate Immune Response Mechanisms
- Aquaculture disease management and microbiota
- Galectins and Cancer Biology
- Immune Cell Function and Interaction
- Toxicology top 5%
Papers in
- Immunology 37
- Galectins and Cancer Biology 14
- Complement system in diseases 10
- Invertebrate Immune Response Mechanisms 7
- T-cell and B-cell Immunology 4
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- Monoclonal and Polyclonal Antibodies Research 21
- Co-authors
- Tsuguo MizuochiYuichi EndoMisao MatsushitaWei TangTeizo FujitaYoshinori InagakiNaoya KojimaNorihiro Kokudo
- Journals
- The Journal of Immunology (7 papers)BioScience Trends (6 papers)Journal of Biological Chemistry (3 papers)Oncology Reports (3 papers)FEBS Letters (3 papers)
- Partner nations
- JapanUnited StatesChina
In The Last Decade
Munehiro Nakata
82 papers receiving 2.7k citations
Peers
Comparison fields: 5 of 116
- Immunology 1.5k
- Toxicology 70
- Hematology 198
- Genetics 187
- Molecular Biology 1.1k
Countries citing papers authored by Munehiro Nakata
This map shows the geographic impact of Munehiro Nakata'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 Munehiro Nakata with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Munehiro Nakata more than expected).
Fields of papers citing papers by Munehiro Nakata
This network shows the impact of papers produced by Munehiro Nakata. 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 Munehiro Nakata. The network helps show where Munehiro Nakata may publish in the future.
Co-authors
The 25 scholars most cited alongside Munehiro Nakata, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2014 | 5 | |
| 2 | 2011 | 5 | |
| 3 | 2010 | 16 | |
| 4 | 2009 | 10 | |
| 5 | 2007 | 5 | |
| 6 | 2006 | 10 | |
| 7 | 2006 | 43 | |
| 8 | 2006 | 54 | |
| 9 | 2005 | 15 | |
| 10 | 2004 | 119 | |
| 11 | 2003 | 41 | |
| 12 | 2002 | 15 | |
| 13 | 2001 | 110 | |
| 14 | 2001 | 15 | |
| 15 | 1998 | 70 | |
| 16 | 1998 | 6 | |
| 17 | 1997 | 7 | |
| 18 | 1996 | 288 | |
| 19 | 1990 | 130 | |
| 20 | 1989 | 1 |
About Munehiro Nakata
Munehiro Nakata is a scholar working on Immunology, Radiology, Nuclear Medicine and Imaging, Molecular Biology, Virology and Toxicology, having authored 83 papers that have together received 2.7k indexed citations. Recurring topics across this work include Glycosylation and Glycoproteins Research (35 papers), Monoclonal and Polyclonal Antibodies Research (21 papers), Galectins and Cancer Biology (14 papers), Complement system in diseases (10 papers), Carbohydrate Chemistry and Synthesis (9 papers), Invertebrate Immune Response Mechanisms (7 papers), Cholangiocarcinoma and Gallbladder Cancer Studies (6 papers) and T-cell and B-cell Immunology (4 papers). The work is most often cited by research in Immunology (1.5k citations), Toxicology (70 citations), Hematology (198 citations), Genetics (187 citations) and Molecular Biology (1.1k citations). Munehiro Nakata has collaborated with scholars based in Japan, United States and China. Frequent co-authors include Tsuguo Mizuochi, Yuichi Endo, Misao Matsushita, Wei Tang, Teizo Fujita, Yoshinori Inagaki, Naoya Kojima, Norihiro Kokudo, Fanghua Qi and Anyuan Li. Their work appears in journals such as The Journal of Immunology, BioScience Trends, Journal of Biological Chemistry, Oncology Reports 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.