Makoto Nakashima
- Immunology top 10%
- T-cell and Retrovirus Studies 13
- Agronomy and Crop Science top 5%
- Animal Disease Management and Epidemiology 9
- Inorganic Chemistry top 10%
- Synthesis and characterization of novel inorganic/organometallic compounds 6
- Health Informatics top 10%
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- Vector-Borne Animal Diseases 11
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- Conducting polymers and applications 9
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- Organic Electronics and Photovoltaics 8
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- Cardiac Valve Diseases and Treatments 6
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- Web Data Mining and Analysis 5
- Co-authors
- Yoshihiro MatanoHiroshi ImahoriKaoru UchimaruToshiki WatanabeJoji OhshitaKazumi NakanoRyouichi HorieMakoto Yamagishi
- Journals
- Angewandte Chemie International Edition (1 paper)Nature Communications (1 paper)SHILAP Revista de lepidopterología (2 papers)
- Partner nations
- JapanUnited StatesChina
In The Last Decade
Makoto Nakashima
90 papers receiving 1.3k citations
Peers
Comparison fields: 5 of 136
- Immunology 290
- Agronomy and Crop Science 139
- Inorganic Chemistry 150
- Health Informatics 13
- Ecology, Evolution, Behavior and Systematics 153
Countries citing papers authored by Makoto Nakashima
This map shows the geographic impact of Makoto Nakashima'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 Makoto Nakashima with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Makoto Nakashima more than expected).
Fields of papers citing papers by Makoto Nakashima
This network shows the impact of papers produced by Makoto Nakashima. 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 Makoto Nakashima. The network helps show where Makoto Nakashima may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Makoto Nakashima, 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 | 2023 | 20 | |
| 2 | 2023 | 3 | |
| 3 | 2022 | 5 | |
| 4 | 2021 | 1 | |
| 5 | 2020 | 2 | |
| 6 | 2017 | 14 | |
| 7 | 2017 | 45 | |
| 8 | 2014 | 1 | |
| 9 | 2013 | 1 | |
| 10 | 2013 | 1 | |
| 11 | 2013 | 1 | |
| 12 | 2013 | 7 | |
| 13 | 2012 | 1 | |
| 14 | 2011 | 1 | |
| 15 | 2011 | 1 | |
| 16 | 2011 | 21 | |
| 17 | 2009 | 59 | |
| 18 | 2004 | 1 | |
| 19 | Bottom-up abduction by model generation | 1993 | 10 |
| 20 | 1988 | 8 |
About Makoto Nakashima
Makoto Nakashima is a scholar working on Agronomy and Crop Science, Immunology and Polymers and Plastics, having authored 100 papers that have together received 1.3k indexed citations. Recurring topics across this work include T-cell and Retrovirus Studies (13 papers), Vector-Borne Animal Diseases (11 papers), Conducting polymers and applications (9 papers), Animal Disease Management and Epidemiology (9 papers), Organic Electronics and Photovoltaics (8 papers), Synthesis and characterization of novel inorganic/organometallic compounds (6 papers), Cardiac Valve Diseases and Treatments (6 papers) and Web Data Mining and Analysis (5 papers). The work is most often cited by research in Immunology (290 citations), Agronomy and Crop Science (139 citations) and Inorganic Chemistry (150 citations). Makoto Nakashima has collaborated with scholars based in Japan, United States and China. Frequent co-authors include Yoshihiro Matano, Hiroshi Imahori, Kaoru Uchimaru, Toshiki Watanabe, Joji Ohshita, Kazumi Nakano, Ryouichi Horie, Makoto Yamagishi, Mariko Watanabe and Seiichiro Kobayashi. Their work appears in journals such as Angewandte Chemie International Edition, Nature Communications and SHILAP Revista de lepidopterología.
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.