Masato Odawara
- Endocrinology, Diabetes and Metabolism top 1%
- Molecular Biology
- Surgery top 10%
- Genetics top 10%
- Clinical Biochemistry top 2%
- Co-authors
- Kamejiro YamashitaTakashi KadowakiYoichi TachiTakashi MiwaMasato KasugaNaoko TajimaToshinari TakamuraJun‐ichiro Miyagawa
- Topics
- Diabetes Treatment and Management (41 papers)Diabetes Management and Research (39 papers)Metabolism, Diabetes, and Cancer (21 papers)
- Partner nations
- JapanUnited StatesSwitzerland
In The Last Decade
Masato Odawara
108 papers receiving 1.8k citations
Peers
Comparison fields: 5 of 113
- Endocrinology, Diabetes and Metabolism 923
- Molecular Biology 642
- Surgery 419
- Genetics 198
- Clinical Biochemistry 193
Countries citing papers authored by Masato Odawara
This map shows the geographic impact of Masato Odawara'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 Masato Odawara with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Masato Odawara more than expected).
Fields of papers citing papers by Masato Odawara
This network shows the impact of papers produced by Masato Odawara. 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 Masato Odawara. The network helps show where Masato Odawara may publish in the future.
Co-authorship network of co-authors of Masato Odawara
This figure shows the co-authorship network connecting the top 25 collaborators of Masato Odawara. A scholar is included among the top collaborators of Masato Odawara 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 Masato Odawara. Masato Odawara 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 | 2 | |
| 3 | 2 | |
| 4 | 8 | |
| 5 | 14 | |
| 6 | 21 | |
| 7 | 3 | |
| 8 | 14 | |
| 9 | 37 | |
| 10 | 24 | |
| 11 | 23 | |
| 12 | 6 | |
| 13 | A Case of Insulin Autoimmune Syndrome Suspected of Showing False Positive Results for Insulin Receptor Antibody | 2 |
| 14 | 15 | |
| 15 | 39 | |
| 16 | 7 | |
| 17 | 52 | |
| 18 | 5 | |
| 19 | Report of a Case of Pancreatic Diabetes with Severe Zinc Deficiency | 3 |
| 20 | 10 |
About Masato Odawara
Masato Odawara is a scholar working on Endocrinology, Diabetes and Metabolism, Clinical Biochemistry and Molecular Biology, having authored 112 papers that have together received 1.9k indexed citations. Recurring topics across this work include Diabetes Treatment and Management (41 papers), Diabetes Management and Research (39 papers) and Metabolism, Diabetes, and Cancer (21 papers). The work is most often cited by research in Endocrinology, Diabetes and Metabolism (923 citations), Clinical Biochemistry (193 citations) and Biochemistry (73 citations). Masato Odawara has collaborated with scholars based in Japan, United States and Switzerland. Frequent co-authors include Kamejiro Yamashita, Takashi Kadowaki, Yoichi Tachi, Takashi Miwa, Masato Kasuga, Naoko Tajima, Toshinari Takamura, Jun‐ichiro Miyagawa, Noriyuki Iwamoto and Takeshi Imaoka. Their work appears in journals such as Science, Proceedings of the National Academy of Sciences and The Lancet.
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.