H Nawata
- Molecular Biology
- Genetics top 10%
- Public Health, Environmental and Occupational Health top 10%
- Reproductive Medicine top 5%
- Endocrinology, Diabetes and Metabolism top 10%
- Co-authors
- Taijiro OkabeToshihiko YanaseMasatoshi NomuraIsao IchinoMasafumi HajiYoshihiro NishiMasayuki SaitoKiminobu Goto
- Topics
- Chronic Myeloid Leukemia Treatments (5 papers)Chronic Lymphocytic Leukemia Research (4 papers)Acute Myeloid Leukemia Research (3 papers)
- Journals
- The Journal of ImmunologyThe Journal of Clinical Endocrinology & MetabolismBiochemical and Biophysical Research Communications
- Partner nations
- JapanUnited States
In The Last Decade
H Nawata
31 papers receiving 987 citations
Peers
Comparison fields: 5 of 83
- Molecular Biology 540
- Genetics 204
- Public Health, Environmental and Occupational Health 189
- Reproductive Medicine 184
- Endocrinology, Diabetes and Metabolism 153
Countries citing papers authored by H Nawata
This map shows the geographic impact of H Nawata'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 H Nawata with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites H Nawata more than expected).
Fields of papers citing papers by H Nawata
This network shows the impact of papers produced by H Nawata. 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 H Nawata. The network helps show where H Nawata may publish in the future.
Co-authorship network of co-authors of H Nawata
This figure shows the co-authorship network connecting the top 25 collaborators of H Nawata. A scholar is included among the top collaborators of H Nawata 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 H Nawata. H Nawata is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 4 | |
| 2 | 4 | |
| 3 | 23 | |
| 4 | 55 | |
| 5 | 13 | |
| 6 | Elevated L-kynurenine level and its normalization by prednisolone in a patient with eosinophilia-myalgia syndrome. | 3 |
| 7 | 1 | |
| 8 | 15 | |
| 9 | [NGFI-B/nur77 family involved in T-cell apoptosis]. | 2 |
| 10 | 16 | |
| 11 | 9 | |
| 12 | 45 | |
| 13 | 37 | |
| 14 | 22 | |
| 15 | 5 | |
| 16 | 2 | |
| 17 | 95 | |
| 18 | 9 | |
| 19 | 43 | |
| 20 | 2 |
About H Nawata
H Nawata is a scholar working on Hematology, Genetics and Immunology, having authored 31 papers that have together received 1.0k indexed citations. Recurring topics across this work include Chronic Myeloid Leukemia Treatments (5 papers), Chronic Lymphocytic Leukemia Research (4 papers) and Acute Myeloid Leukemia Research (3 papers). The work is most often cited by research in Reproductive Medicine (184 citations), Endocrinology, Diabetes and Metabolism (153 citations) and Molecular Biology (540 citations). H Nawata has collaborated with scholars based in Japan and United States. Frequent co-authors include Taijiro Okabe, Toshihiko Yanase, Masatoshi Nomura, Isao Ichino, Masafumi Haji, Yoshihiro Nishi, Masayuki Saito, Kiminobu Goto, Y Kashimura and Koichi Oba. Their work appears in journals such as The Journal of Immunology, The Journal of Clinical Endocrinology & Metabolism and Biochemical and Biophysical Research Communications.
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.