H. Kobayashi
- Cellular and Molecular Neuroscience top 10%
- Molecular Biology
- Endocrine and Autonomic Systems top 10%
- Ecology
- Obstetrics and Gynecology top 10%
- Co-authors
- Hirotsugu UemuraHisashi TauchiTakuyuki YoshiokaM. UeckTatsuya HiranoMitsuru WadaDonald S. FarnerMasami Yoshida
- Topics
- Physiological and biochemical adaptations (3 papers)Photoreceptor and optogenetics research (2 papers)Neurobiology and Insect Physiology Research (2 papers)
- Partner nations
- JapanGermanyUnited States
In The Last Decade
H. Kobayashi
23 papers receiving 574 citations
Peers
Comparison fields: 5 of 91
- Cellular and Molecular Neuroscience 142
- Molecular Biology 133
- Endocrine and Autonomic Systems 85
- Ecology 79
- Obstetrics and Gynecology 75
Countries citing papers authored by H. Kobayashi
This map shows the geographic impact of H. 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 H. Kobayashi with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites H. Kobayashi more than expected).
Fields of papers citing papers by H. Kobayashi
This network shows the impact of papers produced by H. 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 H. Kobayashi. The network helps show where H. Kobayashi may publish in the future.
Co-authorship network of co-authors of H. Kobayashi
This figure shows the co-authorship network connecting the top 25 collaborators of H. Kobayashi. A scholar is included among the top collaborators of H. 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 H. Kobayashi. H. 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 | Creation of a plant database and evaluation of conservation priorities in wetlands, in Hokkaido, Japan. | 1 |
| 2 | 3 | |
| 3 | 2 | |
| 4 | 79 | |
| 5 | 42 | |
| 6 | 12 | |
| 7 | 28 | |
| 8 | The caudal neurosecretory system in fishes | 11 |
| 9 | 49 | |
| 10 | 11 | |
| 11 | 32 | |
| 12 | 34 | |
| 13 | 4 | |
| 14 | 11 | |
| 15 | 34 | |
| 16 | 32 | |
| 17 | 39 | |
| 18 | 58 | |
| 19 | 4 | |
| 20 | 51 |
About H. Kobayashi
H. Kobayashi is a scholar working on Applied Microbiology and Biotechnology, Endocrine and Autonomic Systems and Aquatic Science, having authored 23 papers that have together received 609 indexed citations. Recurring topics across this work include Physiological and biochemical adaptations (3 papers), Photoreceptor and optogenetics research (2 papers) and Neurobiology and Insect Physiology Research (2 papers). The work is most often cited by research in Endocrine and Autonomic Systems (85 citations), Obstetrics and Gynecology (75 citations) and Reproductive Medicine (69 citations). H. Kobayashi has collaborated with scholars based in Japan, Germany and United States. Frequent co-authors include Hirotsugu Uemura, Hisashi Tauchi, Takuyuki Yoshioka, M. Ueck, Tatsuya Hirano, Mitsuru Wada, Donald S. Farner, Masami Yoshida, A. Oksche and Hiroshi Suzuki. Their work appears in journals such as Science, European Respiratory Journal and American Journal of Roentgenology.
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.