Hideaki Shima
Impact in
- Nephrology top 5%
- Dialysis and Renal Disease Management
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- T-cell and B-cell Immunology
- Immune Cell Function and Interaction
- Immunotherapy and Immune Responses
Papers in
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- Metabolomics and Mass Spectrometry Studies 3
- Gut microbiota and health 2
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- Parathyroid Disorders and Treatments 3
- Co-authors
- Hiroshi Ohno (4 shared papers)Koji Inaka (4 shared papers)Kiyoshi Kyono (4 shared papers)Atsushi Yamamoto (4 shared papers)Koji Hase (2 shared papers)Shinji Fukuda (2 shared papers)Masaaki Inaba (6 shared papers)Toshihide Naganuma (8 shared papers)
- Journals
- International Immunology (3 papers)The Journal of Antibiotics (3 papers)Applied Sciences (2 papers)Kidney & Blood Pressure Research (2 papers)Nephrology (2 papers)
- Partner nations
- JapanUnited StatesGermany
In The Last Decade
Hideaki Shima
43 papers receiving 782 citations
Peers
Comparison fields: 5 of 101
- Nephrology 82
- Immunology 136
- Oncology 133
- Cellular and Molecular Neuroscience 89
- Endocrinology, Diabetes and Metabolism 73
Countries citing papers authored by Hideaki Shima
This map shows the geographic impact of Hideaki Shima'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 Hideaki Shima with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Hideaki Shima more than expected).
Fields of papers citing papers by Hideaki Shima
This network shows the impact of papers produced by Hideaki Shima. 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 Hideaki Shima. The network helps show where Hideaki Shima may publish in the future.
Co-authors
The 25 scholars most cited alongside Hideaki Shima, 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 45 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2009 | 97 | |
| 2 | 2003 | 77 | |
| 3 | 2004 | 65 | |
| 4 | 2014 | 62 | |
| 5 | 2013 | 59 | |
| 6 | 2017 | 56 | |
| 7 | 2011 | 41 | |
| 8 | 2005 | 34 | |
| 9 | 2011 | 29 | |
| 10 | 2011 | 24 | |
| 11 | 2012 | 22 | |
| 12 | 2013 | 22 | |
| 13 | 2022 | 21 | |
| 14 | 2012 | 19 | |
| 15 | 2017 | 18 | |
| 16 | 2013 | 16 | |
| 17 | 2018 | 15 | |
| 18 | 2016 | 14 | |
| 19 | 1999 | 14 | |
| 20 | 1996 | 12 |
About Hideaki Shima
Hideaki Shima is a scholar working on Molecular Biology, Nephrology, Nutrition and Dietetics, Immunology and Cellular and Molecular Neuroscience, having authored 45 papers that have together received 799 indexed citations. Recurring topics across this work include Peptidase Inhibition and Analysis (4 papers), Neuropeptides and Animal Physiology (4 papers), Nitric Oxide and Endothelin Effects (3 papers), Metabolomics and Mass Spectrometry Studies (3 papers), Diabetes Treatment and Management (3 papers), Parathyroid Disorders and Treatments (3 papers), Gut microbiota and health (2 papers) and Monoclonal and Polyclonal Antibodies Research (2 papers). The work is most often cited by research in Nephrology (82 citations), Immunology (136 citations), Oncology (133 citations), Cellular and Molecular Neuroscience (89 citations) and Endocrinology, Diabetes and Metabolism (73 citations). Hideaki Shima has collaborated with scholars based in Japan, United States and Germany. Frequent co-authors include Hiroshi Ohno, Koji Inaka, Kiyoshi Kyono, Atsushi Yamamoto, Koji Hase, Shinji Fukuda, Masaaki Inaba, Toshihide Naganuma, Hiromi Kubagawa and Ji‐Yang Wang. Their work appears in journals such as International Immunology, The Journal of Antibiotics, Applied Sciences, Kidney & Blood Pressure Research and Nephrology.
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.