Jun Nakayama
Impact in
- Immunology top 1%
- Galectins and Cancer Biology
- Immunology and Allergy top 1%
- Cell Adhesion Molecules Research
Papers in
- Immunology 87
- Galectins and Cancer Biology 52
-
- Cell Adhesion Molecules Research 18
- Co-authors
- Minoru FukudaTsutomu KatsuyamaMichiko N. FukudaMotohiro KobayashiKiyohiko AngataJunya MasumotoUichi IkedaMasatomo Kawakubo
- Journals
- Journal of Histochemistry & Cytochemistry (16 papers)Journal of Biological Chemistry (12 papers)Proceedings of the National Academy of Sciences (12 papers)Cancer Science (8 papers)Glycobiology (7 papers)
- Partner nations
- JapanUnited StatesChina
In The Last Decade
Jun Nakayama
259 papers receiving 8.1k citations
Hit Papers
Peers
Comparison fields: 5 of 132
- Immunology 2.4k
- Immunology and Allergy 485
- Molecular Biology 4.7k
- Cell Biology 978
- Developmental Neuroscience 225
Countries citing papers authored by Jun Nakayama
This map shows the geographic impact of Jun Nakayama'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 Jun Nakayama with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jun Nakayama more than expected).
Fields of papers citing papers by Jun Nakayama
This network shows the impact of papers produced by Jun Nakayama. 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 Jun Nakayama. The network helps show where Jun Nakayama may publish in the future.
Co-authors
The 25 scholars most cited alongside Jun Nakayama, 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 | 2019 | 22 | |
| 2 | 2017 | 4 | |
| 3 | 2014 | 10 | |
| 4 | 2013 | 59 | |
| 5 | 2012 | 25 | |
| 6 | 2010 | 50 | |
| 7 | 2010 | 26 | |
| 8 | 2009 | 90 | |
| 9 | 2008 | 26 | |
| 10 | 2007 | 51 | |
| 11 | 2007 | 14 | |
| 12 | 2005 | 0 | |
| 13 | 2005 | 144 | |
| 14 | 2004 | 256 | |
| 15 | 2003 | 37 | |
| 16 | 2002 | 3 | |
| 17 | 2001 | 47 | |
| 18 | 1999 | 21 | |
| 19 | Current Progress in Epitaxial Layer Transfer (ELTRAN) | 1997 | 6 |
| 20 | 1993 | 1 |
About Jun Nakayama
Jun Nakayama is a scholar working on Immunology, Immunology and Allergy, Molecular Biology, Surgery and Cell Biology, having authored 265 papers that have together received 8.2k indexed citations. Recurring topics across this work include Glycosylation and Glycoproteins Research (85 papers), Galectins and Cancer Biology (52 papers), Helicobacter pylori-related gastroenterology studies (41 papers), Carbohydrate Chemistry and Synthesis (19 papers), Proteoglycans and glycosaminoglycans research (18 papers), Cell Adhesion Molecules Research (18 papers), Gastric Cancer Management and Outcomes (13 papers) and Monoclonal and Polyclonal Antibodies Research (13 papers). The work is most often cited by research in Immunology (2.4k citations), Immunology and Allergy (485 citations), Molecular Biology (4.7k citations), Cell Biology (978 citations) and Developmental Neuroscience (225 citations). Jun Nakayama has collaborated with scholars based in Japan, United States and China. Frequent co-authors include Minoru Fukuda, Tsutomu Katsuyama, Michiko N. Fukuda, Motohiro Kobayashi, Kiyohiko Angata, Junya Masumoto, Uichi Ikeda, Masatomo Kawakubo, Shun’ichiro Taniguchi and Barbara J. Fredette. Their work appears in journals such as Journal of Histochemistry & Cytochemistry, Journal of Biological Chemistry, Proceedings of the National Academy of Sciences, Cancer Science and Glycobiology.
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.