Hiroko Uesugi
Impact in
- Aging top 10%
-
- Diabetes, Cardiovascular Risks, and Lipoproteins
- Diabetes Treatment and Management
Papers in
-
- Neutrophil, Myeloperoxidase and Oxidative Mechanisms 3
- Atherosclerosis and Cardiovascular Diseases 2
- Co-authors
- Kazuwa Nakao (4 shared papers)J Sobajima (6 shared papers)Hitoshi Shirakawa (5 shared papers)F Osakada (5 shared papers)Hiroyuki Sugiyama (2 shared papers)Yoshihiro Ogawa (1 shared paper)Shigeo Kono (1 shared paper)Akira Sugawara (1 shared paper)
- Journals
- Clinical & Experimental Immunology (3 papers)Blood Coagulation & Fibrinolysis (1 paper)Diabetes Care (1 paper)Genome biology (1 paper)Gut (1 paper)
- Partner nations
- Japan
In The Last Decade
Hiroko Uesugi
11 papers receiving 616 citations
Peers
Comparison fields: 5 of 70
- Aging 37
- Endocrinology, Diabetes and Metabolism 136
- Clinical Biochemistry 53
- Immunology 141
- Genetics 128
Countries citing papers authored by Hiroko Uesugi
This map shows the geographic impact of Hiroko Uesugi'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 Hiroko Uesugi with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Hiroko Uesugi more than expected).
Fields of papers citing papers by Hiroko Uesugi
This network shows the impact of papers produced by Hiroko Uesugi. 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 Hiroko Uesugi. The network helps show where Hiroko Uesugi may publish in the future.
Co-authors
The 25 scholars most cited alongside Hiroko Uesugi, 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 | 2003 | 250 | |
| 2 | 2005 | 71 | |
| 3 | 1997 | 66 | |
| 4 | Prevalence and characterization of novel pANCA, antibodies to the high mobility group non-histone chromosomal proteins HMG1 and HMG2, in systemic rheumatic diseases. | 1998 | 57 |
| 5 | 1998 | 49 | |
| 6 | 1999 | 48 | |
| 7 | 2002 | 43 | |
| 8 | 1995 | 40 | |
| 9 | 2012 | 13 | |
| 10 | 2019 | 7 | |
| 11 | 2000 | 3 |
About Hiroko Uesugi
Hiroko Uesugi is a scholar working on Immunology, Molecular Biology, Pathology and Forensic Medicine, Rheumatology and Immunology and Allergy, having authored 11 papers that have together received 647 indexed citations. Recurring topics across this work include Neutrophil, Myeloperoxidase and Oxidative Mechanisms (3 papers), Cell Adhesion Molecules Research (3 papers), Atherosclerosis and Cardiovascular Diseases (2 papers), Systemic Lupus Erythematosus Research (2 papers), Hemophilia Treatment and Research (1 paper), Renal Diseases and Glomerulopathies (1 paper), Lymphoma Diagnosis and Treatment (1 paper) and Diabetes, Cardiovascular Risks, and Lipoproteins (1 paper). The work is most often cited by research in Aging (37 citations), Endocrinology, Diabetes and Metabolism (136 citations), Clinical Biochemistry (53 citations), Immunology (141 citations) and Genetics (128 citations). Hiroko Uesugi has collaborated with scholars based in Japan. Frequent co-authors include Kazuwa Nakao, J Sobajima, Hitoshi Shirakawa, F Osakada, Hiroyuki Sugiyama, Yoshihiro Ogawa, Shigeo Kono, Akira Sugawara, Noriko Satoh and Takeshi Usui. Their work appears in journals such as Clinical & Experimental Immunology, Blood Coagulation & Fibrinolysis, Diabetes Care, Genome biology and Gut.
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.