Seido Ooka
Impact in
- Rheumatology top 10%
- Systemic Lupus Erythematosus Research
Papers in
- Rheumatology 15
- Systemic Lupus Erythematosus Research 10
-
- Vasculitis and related conditions 10
- Co-authors
- Kei Arima (1 shared paper)Ko Sato (1 shared paper)Joji Okamoto (1 shared paper)Rachel E. Klevit (1 shared paper)Hiroyuki Nishikawa (1 shared paper)Tomohiko Ohta (1 shared paper)Mamoru Fukuda (1 shared paper)Shoichi Ozaki (11 shared papers)
- Journals
- Modern Rheumatology (5 papers)Medical Mycology (2 papers)Journal of Proteomics (2 papers)Arthritis Research & Therapy (2 papers)Scientific Reports (1 paper)
- Partner nations
- JapanUnited StatesSingapore
In The Last Decade
Seido Ooka
36 papers receiving 504 citations
Peers
Comparison fields: 5 of 69
- Rheumatology 122
- Cell Biology 62
- Ophthalmology 33
- Molecular Biology 238
- Nephrology 21
Countries citing papers authored by Seido Ooka
This map shows the geographic impact of Seido Ooka'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 Seido Ooka with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Seido Ooka more than expected).
Fields of papers citing papers by Seido Ooka
This network shows the impact of papers produced by Seido Ooka. 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 Seido Ooka. The network helps show where Seido Ooka may publish in the future.
Co-authors
The 25 scholars most cited alongside Seido Ooka, 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 37 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2004 | 200 | |
| 2 | Targets of anti-endothelial cell antibodies in patients with systemic vasculitis: Identification by the proteomic approach. | 2003 | 29 |
| 3 | 2000 | 28 | |
| 4 | 2020 | 22 | |
| 5 | 2010 | 20 | |
| 6 | 2008 | 18 | |
| 7 | 2017 | 18 | |
| 8 | 2003 | 15 | |
| 9 | 2022 | 14 | |
| 10 | 2009 | 14 | |
| 11 | Altered acetylation of proteins in patients with rheumatoid arthritis revealed by acetyl-proteomics. | 2016 | 13 |
| 12 | 2022 | 13 | |
| 13 | 2004 | 10 | |
| 14 | 2004 | 10 | |
| 15 | 2019 | 9 | |
| 16 | 2023 | 8 | |
| 17 | 2013 | 8 | |
| 18 | 2000 | 8 | |
| 19 | 2006 | 7 | |
| 20 | 2011 | 7 |
About Seido Ooka
Seido Ooka is a scholar working on Rheumatology, Pulmonary and Respiratory Medicine, Molecular Biology, Ophthalmology and Epidemiology, having authored 37 papers that have together received 511 indexed citations. Recurring topics across this work include Vasculitis and related conditions (10 papers), Systemic Lupus Erythematosus Research (10 papers), Ocular Diseases and Behçet’s Syndrome (7 papers), Monoclonal and Polyclonal Antibodies Research (4 papers), Autoimmune and Inflammatory Disorders Research (3 papers), Sarcoidosis and Beryllium Toxicity Research (3 papers), Hepatitis C virus research (3 papers) and Long-Term Effects of COVID-19 (2 papers). The work is most often cited by research in Rheumatology (122 citations), Cell Biology (62 citations), Ophthalmology (33 citations), Molecular Biology (238 citations) and Nephrology (21 citations). Seido Ooka has collaborated with scholars based in Japan, United States and Singapore. Frequent co-authors include Kei Arima, Ko Sato, Joji Okamoto, Rachel E. Klevit, Hiroyuki Nishikawa, Tomohiko Ohta, Mamoru Fukuda, Shoichi Ozaki, Tomohiro Kato and Hidehiro Yamada. Their work appears in journals such as Modern Rheumatology, Medical Mycology, Journal of Proteomics, Arthritis Research & Therapy and Scientific Reports.
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.