Seijiro Okusawa
- Immunology top 5%
- Epidemiology top 10%
- Molecular Biology
- Surgery top 10%
- Pulmonary and Respiratory Medicine
- Co-authors
- Jeffrey A. GelfandTakashi IkejimaC A DinarelloRaymond J. ConnollyCharles A. DinarelloJ.W.M. van der MeerStefan EndresJohn F. Burke
- Topics
- Immune Response and Inflammation (6 papers)Renal function and acid-base balance (3 papers)Trauma Management and Diagnosis (3 papers)
- Journals
- Journal of Clinical InvestigationThe Journal of Experimental MedicineThe Journal of Immunology
- Partner nations
- United StatesJapanNetherlands
In The Last Decade
Seijiro Okusawa
20 papers receiving 1.7k citations
Hit Papers
Peers
Comparison fields: 5 of 97
- Immunology 842
- Epidemiology 391
- Molecular Biology 342
- Surgery 291
- Pulmonary and Respiratory Medicine 195
Countries citing papers authored by Seijiro Okusawa
This map shows the geographic impact of Seijiro Okusawa'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 Seijiro Okusawa with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Seijiro Okusawa more than expected).
Fields of papers citing papers by Seijiro Okusawa
This network shows the impact of papers produced by Seijiro Okusawa. 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 Seijiro Okusawa. The network helps show where Seijiro Okusawa may publish in the future.
Co-authorship network of co-authors of Seijiro Okusawa
This figure shows the co-authorship network connecting the top 25 collaborators of Seijiro Okusawa. A scholar is included among the top collaborators of Seijiro Okusawa based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Seijiro Okusawa. Seijiro Okusawa is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 1 | |
| 2 | 11 | |
| 3 | 0 | |
| 4 | 0 | |
| 5 | 0 | |
| 6 | 116 | |
| 7 | [Hemodynamic changes in acute pancreatitis]. | 6 |
| 8 | 26 | |
| 9 | 99 | |
| 10 | 7 | |
| 11 | 20 | |
| 12 | Interleukin-1 induces a shock-like state in rabbits: synergism with tumor necrosis factor and the effect of ibuprofen. | 7 |
| 13 | Interleukin 1 induces a shock-like state in rabbits. Synergism with tumor necrosis factor and the effect of cyclooxygenase inhibition.breakdown → | 781 |
| 14 | 86 | |
| 15 | 162 | |
| 16 | 1 | |
| 17 | 86 | |
| 18 | 162 | |
| 19 | 4 | |
| 20 | 3 |
About Seijiro Okusawa
Seijiro Okusawa is a scholar working on Nephrology, Immunology and Emergency Medicine, having authored 24 papers that have together received 1.8k indexed citations. Recurring topics across this work include Immune Response and Inflammation (6 papers), Renal function and acid-base balance (3 papers) and Trauma Management and Diagnosis (3 papers). The work is most often cited by research in Immunology (842 citations), Critical Care and Intensive Care Medicine (128 citations) and Nephrology (100 citations). Seijiro Okusawa has collaborated with scholars based in United States, Japan and Netherlands. Frequent co-authors include Jeffrey A. Gelfand, Takashi Ikejima, C A Dinarello, Raymond J. Connolly, Charles A. Dinarello, J.W.M. van der Meer, Stefan Endres, John F. Burke, Magdalena Frank and Kim B. Yancey. Their work appears in journals such as Journal of Clinical Investigation, The Journal of Experimental Medicine and The Journal of Immunology.
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.