Hiroki Kobayashi
- Molecular Biology
- Surgery top 10%
- Endocrinology, Diabetes and Metabolism top 5%
- Genetics
- Cardiology and Cardiovascular Medicine
- Co-authors
- Masanori AbeMakoto AsashimaRyuichi NishinakamuraKiyoshi KawakamiMasayoshi SomaSho TanakaNoboru FukudaMitsuhide Naruse
- Topics
- Hormonal Regulation and Hypertension (18 papers)Adrenal and Paraganglionic Tumors (15 papers)Adrenal Hormones and Disorders (10 papers)
- Journals
- SHILAP Revista de lepidopterologíaPLoS ONEThe Journal of Clinical Endocrinology & Metabolism
- Partner nations
- JapanUnited StatesAustralia
In The Last Decade
Hiroki Kobayashi
91 papers receiving 1.2k citations
Peers
Comparison fields: 5 of 132
- Molecular Biology 387
- Surgery 288
- Endocrinology, Diabetes and Metabolism 274
- Genetics 134
- Cardiology and Cardiovascular Medicine 116
Countries citing papers authored by Hiroki Kobayashi
This map shows the geographic impact of Hiroki Kobayashi'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 Hiroki Kobayashi with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Hiroki Kobayashi more than expected).
Fields of papers citing papers by Hiroki Kobayashi
This network shows the impact of papers produced by Hiroki Kobayashi. 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 Hiroki Kobayashi. The network helps show where Hiroki Kobayashi may publish in the future.
Co-authorship network of co-authors of Hiroki Kobayashi
This figure shows the co-authorship network connecting the top 25 collaborators of Hiroki Kobayashi. A scholar is included among the top collaborators of Hiroki Kobayashi 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 Hiroki Kobayashi. Hiroki Kobayashi 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 | 8 | |
| 3 | 14 | |
| 4 | 1 | |
| 5 | 3 | |
| 6 | 2 | |
| 7 | 0 | |
| 8 | 36 | |
| 9 | 1 | |
| 10 | 2 | |
| 11 | 13 | |
| 12 | 4 | |
| 13 | 9 | |
| 14 | 24 | |
| 15 | 64 | |
| 16 | 71 | |
| 17 | 54 | |
| 18 | GROBNER BASIS OF IDEAL OF CONVERGENT POWER SERIES | 1 |
| 19 | ON PERSISTENT HOMEOMORPHISMS | 2 |
| 20 | Genetic and morphological studies on congenital cataract and microphthalmia in mice. | 2 |
About Hiroki Kobayashi
Hiroki Kobayashi is a scholar working on Endocrinology, Diabetes and Metabolism, Nephrology and Surgery, having authored 100 papers that have together received 1.2k indexed citations. Recurring topics across this work include Hormonal Regulation and Hypertension (18 papers), Adrenal and Paraganglionic Tumors (15 papers) and Adrenal Hormones and Disorders (10 papers). The work is most often cited by research in Endocrinology, Diabetes and Metabolism (274 citations), Nephrology (108 citations) and Surgery (288 citations). Hiroki Kobayashi has collaborated with scholars based in Japan, United States and Australia. Frequent co-authors include Masanori Abe, Makoto Asashima, Ryuichi Nishinakamura, Kiyoshi Kawakami, Masayoshi Soma, Sho Tanaka, Noboru Fukuda, Mitsuhide Naruse, Kazuyoshi Okada and Noriaki Maruyama. Their work appears in journals such as SHILAP Revista de lepidopterología, PLoS ONE and The Journal of Clinical Endocrinology & Metabolism.
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.