K Kitamura
Impact in
- Virology top 2%
- HIV Research and Treatment
- Developmental Neuroscience top 5%
Papers in
-
- Glycosylation and Glycoproteins Research 10
- RNA Interference and Gene Delivery 9
- Immunology 29
- Immune Cell Function and Interaction 8
- Co-authors
- Masamichi Muramatsu (25 shared papers)Hiromitsu Tanaka (12 shared papers)A. T. Campagnoni (3 shared papers)Yoshitake Nishimune (12 shared papers)Shinichiro Chuma (3 shared papers)Norio Nakatsuji (3 shared papers)Mihoko Hosokawa (3 shared papers)Miki Koura (11 shared papers)
- Journals
- Journal of Biological Chemistry (8 papers)Proceedings of the National Academy of Sciences (7 papers)Neurologia medico-chirurgica (7 papers)Scientific Reports (5 papers)The Journal of Immunology (5 papers)
- Partner nations
- JapanUnited StatesPakistan
In The Last Decade
K Kitamura
148 papers receiving 4.2k citations
Peers
Comparison fields: 5 of 148
- Virology 213
- Developmental Neuroscience 152
- Immunology 732
- Reproductive Medicine 279
- Molecular Biology 2.0k
Countries citing papers authored by K Kitamura
This map shows the geographic impact of K Kitamura'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 K Kitamura with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites K Kitamura more than expected).
Fields of papers citing papers by K Kitamura
This network shows the impact of papers produced by K Kitamura. 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 K Kitamura. The network helps show where K Kitamura may publish in the future.
Co-authors
The 25 scholars most cited alongside K Kitamura, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 156 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2001 | 255 | |
| 2 | 2006 | 208 | |
| 3 | 1993 | 197 | |
| 4 | 2004 | 151 | |
| 5 | 2006 | 137 | |
| 6 | 1999 | 131 | |
| 7 | 2013 | 130 | |
| 8 | 2020 | 126 | |
| 9 | 2011 | 122 | |
| 10 | 1987 | 120 | |
| 11 | 2011 | 119 | |
| 12 | 1987 | 108 | |
| 13 | 2005 | 105 | |
| 14 | 1990 | 99 | |
| 15 | 1995 | 98 | |
| 16 | 1994 | 95 | |
| 17 | 2018 | 91 | |
| 18 | 2013 | 78 | |
| 19 | 1985 | 73 | |
| 20 | 2020 | 73 |
About K Kitamura
K Kitamura is a scholar working on Molecular Biology, Immunology, Epidemiology, Infectious Diseases and Genetics, having authored 156 papers that have together received 4.3k indexed citations. Recurring topics across this work include Hepatitis B Virus Studies (11 papers), Glycosylation and Glycoproteins Research (10 papers), Viral gastroenteritis research and epidemiology (10 papers), RNA Interference and Gene Delivery (9 papers), Sperm and Testicular Function (8 papers), Immune Cell Function and Interaction (8 papers), HIV Research and Treatment (7 papers) and Viral Infections and Immunology Research (7 papers). The work is most often cited by research in Virology (213 citations), Developmental Neuroscience (152 citations), Immunology (732 citations), Reproductive Medicine (279 citations) and Molecular Biology (2.0k citations). K Kitamura has collaborated with scholars based in Japan, United States and Pakistan. Frequent co-authors include Masamichi Muramatsu, Hiromitsu Tanaka, A. T. Campagnoni, Yoshitake Nishimune, Shinichiro Chuma, Norio Nakatsuji, Mihoko Hosokawa, Miki Koura, K Uyemura and Toshiaki Noce. Their work appears in journals such as Journal of Biological Chemistry, Proceedings of the National Academy of Sciences, Neurologia medico-chirurgica, Scientific Reports and The Journal of Immunology.
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.