Shuji Kitajima
Impact in
- Immunology top 5%
- Atherosclerosis and Cardiovascular Diseases
- Cancer Research top 5%
- Protease and Inhibitor Mechanisms
Papers in
- Surgery 11
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- Lipid metabolism and disorders 6
- Co-authors
- Masatoshi Morimoto (33 shared papers)Jianglin Fan (42 shared papers)Teruo Watanabe (26 shared papers)Enqi Liu (23 shared papers)Tomonari Koike (19 shared papers)Jifeng Zhang (10 shared papers)Y. Eugene Chen (6 shared papers)Kazutoshi Nishijima (20 shared papers)
- Journals
- EXPERIMENTAL ANIMALS (8 papers)Atherosclerosis (4 papers)Arteriosclerosis Thrombosis and Vascular Biology (4 papers)American Journal Of Pathology (3 papers)Circulation (3 papers)
- Partner nations
- JapanChinaUnited States
In The Last Decade
Shuji Kitajima
58 papers receiving 2.4k citations
Peers
Comparison fields: 5 of 114
- Immunology 402
- Cancer Research 268
- Reproductive Medicine 106
- Genetics 347
- Cardiology and Cardiovascular Medicine 243
Countries citing papers authored by Shuji Kitajima
This map shows the geographic impact of Shuji Kitajima'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 Shuji Kitajima with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Shuji Kitajima more than expected).
Fields of papers citing papers by Shuji Kitajima
This network shows the impact of papers produced by Shuji Kitajima. 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 Shuji Kitajima. The network helps show where Shuji Kitajima may publish in the future.
Co-authors
The 25 scholars most cited alongside Shuji Kitajima, 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 59 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2014 | 265 | |
| 2 | 1999 | 242 | |
| 3 | 2000 | 150 | |
| 4 | 2005 | 136 | |
| 5 | 2001 | 133 | |
| 6 | 2006 | 117 | |
| 7 | 2007 | 94 | |
| 8 | 2008 | 89 | |
| 9 | 2009 | 82 | |
| 10 | 2010 | 81 | |
| 11 | 2004 | 76 | |
| 12 | 1999 | 76 | |
| 13 | 2015 | 62 | |
| 14 | 2004 | 59 | |
| 15 | 2012 | 58 | |
| 16 | 2012 | 57 | |
| 17 | 2004 | 54 | |
| 18 | 2014 | 48 | |
| 19 | 2020 | 46 | |
| 20 | 2009 | 38 |
About Shuji Kitajima
Shuji Kitajima is a scholar working on Surgery, Cardiology and Cardiovascular Medicine, Genetics, Molecular Biology and Public Health, Environmental and Occupational Health, having authored 59 papers that have together received 2.4k indexed citations. Recurring topics across this work include Reproductive Biology and Fertility (9 papers), Protease and Inhibitor Mechanisms (8 papers), Diabetes, Cardiovascular Risks, and Lipoproteins (6 papers), Lipid metabolism and disorders (6 papers), Sperm and Testicular Function (6 papers), Animal Genetics and Reproduction (5 papers), Adipose Tissue and Metabolism (4 papers) and Adipokines, Inflammation, and Metabolic Diseases (4 papers). The work is most often cited by research in Immunology (402 citations), Cancer Research (268 citations), Reproductive Medicine (106 citations), Genetics (347 citations) and Cardiology and Cardiovascular Medicine (243 citations). Shuji Kitajima has collaborated with scholars based in Japan, China and United States. Frequent co-authors include Masatoshi Morimoto, Jianglin Fan, Teruo Watanabe, Enqi Liu, Tomonari Koike, Jifeng Zhang, Y. Eugene Chen, Kazutoshi Nishijima, Huijun Sun and Ying Yu. Their work appears in journals such as EXPERIMENTAL ANIMALS, Atherosclerosis, Arteriosclerosis Thrombosis and Vascular Biology, American Journal Of Pathology and Circulation.
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.