Junko Kajimura
Impact in
- Endocrinology top 5%
- Escherichia coli research studies
Papers in
-
- DNA Repair Mechanisms 4
- Glycosylation and Glycoproteins Research 2
-
- Immune Cell Function and Interaction 5
- Immunotherapy and Immune Responses 3
- Co-authors
- P D Rick (3 shared papers)Hiroshi Takemori (3 shared papers)Mitsuhiro Okamoto (3 shared papers)Motoyuki Sugai (4 shared papers)Ikue Hayashi (4 shared papers)Tamaki Fujiwara (3 shared papers)Yoichiro Kusunoki (15 shared papers)Hitoshi Komatsuzawa (3 shared papers)
- Journals
- Radiation Research (4 papers)The Journal of Immunology (3 papers)Journal of Bacteriology (2 papers)Infection and Immunity (1 paper)Oncotarget (1 paper)
- Partner nations
- JapanUnited StatesChina
In The Last Decade
Junko Kajimura
28 papers receiving 774 citations
Peers
Comparison fields: 5 of 91
- Endocrinology 75
- Behavioral Neuroscience 27
- Infectious Diseases 119
- Molecular Medicine 31
- Immunology 112
Countries citing papers authored by Junko Kajimura
This map shows the geographic impact of Junko Kajimura'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 Junko Kajimura with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Junko Kajimura more than expected).
Fields of papers citing papers by Junko Kajimura
This network shows the impact of papers produced by Junko Kajimura. 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 Junko Kajimura. The network helps show where Junko Kajimura may publish in the future.
Co-authors
The 25 scholars most cited alongside Junko Kajimura, 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 28 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2005 | 148 | |
| 2 | 2003 | 98 | |
| 3 | 2007 | 54 | |
| 4 | 2009 | 47 | |
| 5 | 2012 | 46 | |
| 6 | 2005 | 41 | |
| 7 | 2006 | 38 | |
| 8 | 2007 | 34 | |
| 9 | 2015 | 32 | |
| 10 | 2002 | 26 | |
| 11 | 2017 | 25 | |
| 12 | 2013 | 24 | |
| 13 | 2006 | 24 | |
| 14 | 2016 | 22 | |
| 15 | 2019 | 20 | |
| 16 | 2017 | 19 | |
| 17 | 2017 | 18 | |
| 18 | 2014 | 15 | |
| 19 | 2023 | 13 | |
| 20 | 2013 | 11 |
About Junko Kajimura
Junko Kajimura is a scholar working on Molecular Biology, Immunology, Radiology, Nuclear Medicine and Imaging, Pathology and Forensic Medicine and Physiology, having authored 28 papers that have together received 792 indexed citations. Recurring topics across this work include Immune Cell Function and Interaction (5 papers), Effects of Radiation Exposure (5 papers), DNA Repair Mechanisms (4 papers), Bacterial Genetics and Biotechnology (4 papers), Immunotherapy and Immune Responses (3 papers), Escherichia coli research studies (3 papers), Genetic factors in colorectal cancer (3 papers) and Glycosylation and Glycoproteins Research (2 papers). The work is most often cited by research in Endocrinology (75 citations), Behavioral Neuroscience (27 citations), Infectious Diseases (119 citations), Molecular Medicine (31 citations) and Immunology (112 citations). Junko Kajimura has collaborated with scholars based in Japan, United States and China. Frequent co-authors include P D Rick, Hiroshi Takemori, Mitsuhiro Okamoto, Motoyuki Sugai, Ikue Hayashi, Tamaki Fujiwara, Yoichiro Kusunoki, Hitoshi Komatsuzawa, Sakuo Yamada and Kengo Yoshida. Their work appears in journals such as Radiation Research, The Journal of Immunology, Journal of Bacteriology, Infection and Immunity and Oncotarget.
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.