Hidetoshi Ujiie
Impact in
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- Complement system in diseases
- Immune Cell Function and Interaction
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- Adipokines, Inflammation, and Metabolic Diseases
Papers in
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- Adipokines, Inflammation, and Metabolic Diseases 3
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- interferon and immune responses 2
- Immunotherapy and Immune Responses 2
- Co-authors
- Yoshiaki Tomiyama (8 shared papers)Yuzuru Kanakura (5 shared papers)Tohru Funahashi (2 shared papers)Masamichi Shiraga (2 shared papers)Hisashi Kato (2 shared papers)Hirokazu Kashiwagi (2 shared papers)Kenji Oritani (6 shared papers)Norikazu Maeda (1 shared paper)
- Journals
- Experimental Hematology (3 papers)Journal of Cellular Biochemistry (1 paper)Journal of Clinical Oncology (1 paper)Journal of Allergy and Clinical Immunology (1 paper)Antimicrobial Agents and Chemotherapy (1 paper)
- Partner nations
- JapanUnited KingdomSpain
In The Last Decade
Hidetoshi Ujiie
15 papers receiving 384 citations
Peers
Comparison fields: 5 of 73
- Immunology 119
- Epidemiology 195
- Biochemistry 33
- Cardiology and Cardiovascular Medicine 95
- Endocrine and Autonomic Systems 28
Countries citing papers authored by Hidetoshi Ujiie
This map shows the geographic impact of Hidetoshi Ujiie'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 Hidetoshi Ujiie with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Hidetoshi Ujiie more than expected).
Fields of papers citing papers by Hidetoshi Ujiie
This network shows the impact of papers produced by Hidetoshi Ujiie. 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 Hidetoshi Ujiie. The network helps show where Hidetoshi Ujiie may publish in the future.
Co-authors
The 25 scholars most cited alongside Hidetoshi Ujiie, 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 | 2005 | 161 | |
| 2 | 2003 | 58 | |
| 3 | 1996 | 40 | |
| 4 | 2007 | 34 | |
| 5 | 2003 | 21 | |
| 6 | 2009 | 18 | |
| 7 | 2006 | 17 | |
| 8 | 2016 | 10 | |
| 9 | 2003 | 9 | |
| 10 | 2004 | 7 | |
| 11 | 1999 | 6 | |
| 12 | 2005 | 5 | |
| 13 | 2013 | 5 | |
| 14 | 2013 | 3 | |
| 15 | 2011 | 1 |
About Hidetoshi Ujiie
Hidetoshi Ujiie is a scholar working on Epidemiology, Immunology, Oncology, Infectious Diseases and Molecular Biology, having authored 15 papers that have together received 395 indexed citations. Recurring topics across this work include Adipokines, Inflammation, and Metabolic Diseases (3 papers), Cytokine Signaling Pathways and Interactions (2 papers), Hematological disorders and diagnostics (2 papers), interferon and immune responses (2 papers), Lymphoma Diagnosis and Treatment (2 papers), Antifungal resistance and susceptibility (2 papers), Immunotherapy and Immune Responses (2 papers) and Infectious Diseases and Mycology (2 papers). The work is most often cited by research in Immunology (119 citations), Epidemiology (195 citations), Biochemistry (33 citations), Cardiology and Cardiovascular Medicine (95 citations) and Endocrine and Autonomic Systems (28 citations). Hidetoshi Ujiie has collaborated with scholars based in Japan, United Kingdom and Spain. Frequent co-authors include Yoshiaki Tomiyama, Yuzuru Kanakura, Tohru Funahashi, Masamichi Shiraga, Hisashi Kato, Hirokazu Kashiwagi, Kenji Oritani, Norikazu Maeda, Seiji Tadokoro and Shigeki Miyata. Their work appears in journals such as Experimental Hematology, Journal of Cellular Biochemistry, Journal of Clinical Oncology, Journal of Allergy and Clinical Immunology and Antimicrobial Agents and Chemotherapy.
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.