Susumu Ogawa
- Endocrinology, Diabetes and Metabolism top 2%
- Cardiology and Cardiovascular Medicine top 5%
- Molecular Biology
- Nephrology top 2%
- Physiology top 10%
- Co-authors
- Sadayoshi ItoKazuhiro NakoTakefumi MoriMasashi OkamuraKazuhisa TakeuchiMiho SendaTakuya SakamotoTsuneo Ishizuka
- Topics
- Chronic Kidney Disease and Diabetes (10 papers)Blood Pressure and Hypertension Studies (8 papers)Advanced Glycation End Products research (8 papers)
- Journals
- The Journal of Clinical Endocrinology & MetabolismHypertensionJournal of the American Society of Nephrology
- Partner nations
- JapanUnited StatesFrance
In The Last Decade
Susumu Ogawa
56 papers receiving 1.7k citations
Peers
Comparison fields: 5 of 118
- Endocrinology, Diabetes and Metabolism 678
- Cardiology and Cardiovascular Medicine 398
- Molecular Biology 332
- Nephrology 312
- Physiology 255
Countries citing papers authored by Susumu Ogawa
This map shows the geographic impact of Susumu Ogawa'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 Susumu Ogawa with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Susumu Ogawa more than expected).
Fields of papers citing papers by Susumu Ogawa
This network shows the impact of papers produced by Susumu Ogawa. 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 Susumu Ogawa. The network helps show where Susumu Ogawa may publish in the future.
Co-authorship network of co-authors of Susumu Ogawa
This figure shows the co-authorship network connecting the top 25 collaborators of Susumu Ogawa. A scholar is included among the top collaborators of Susumu Ogawa 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 Susumu Ogawa. Susumu Ogawa is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 0 | |
| 2 | 13 | |
| 3 | 4 | |
| 4 | 8 | |
| 5 | 121 | |
| 6 | 7 | |
| 7 | 39 | |
| 8 | 40 | |
| 9 | 4 | |
| 10 | 31 | |
| 11 | 19 | |
| 12 | 41 | |
| 13 | 91 | |
| 14 | 43 | |
| 15 | 23 | |
| 16 | 39 | |
| 17 | 21 | |
| 18 | 40 | |
| 19 | 78 | |
| 20 | The prognostic significance of urinary interleukin 6 in IgA nephropathy. | 65 |
About Susumu Ogawa
Susumu Ogawa is a scholar working on Nephrology, Clinical Biochemistry and Endocrinology, Diabetes and Metabolism, having authored 57 papers that have together received 1.8k indexed citations. Recurring topics across this work include Chronic Kidney Disease and Diabetes (10 papers), Blood Pressure and Hypertension Studies (8 papers) and Advanced Glycation End Products research (8 papers). The work is most often cited by research in Nephrology (312 citations), Endocrinology, Diabetes and Metabolism (678 citations) and Clinical Biochemistry (235 citations). Susumu Ogawa has collaborated with scholars based in Japan, United States and France. Frequent co-authors include Sadayoshi Ito, Kazuhiro Nako, Takefumi Mori, Masashi Okamura, Kazuhisa Takeuchi, Miho Senda, Takuya Sakamoto, Tsuneo Ishizuka, T. KATO and Toshio Miyata. Their work appears in journals such as The Journal of Clinical Endocrinology & Metabolism, Hypertension and Journal of the American Society of 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.