K. Kobayashi
- Molecular Biology
- Cellular and Molecular Neuroscience top 10%
- Radiology, Nuclear Medicine and Imaging top 10%
- Physiology
- Clinical Biochemistry top 5%
- Co-authors
- Paul KleihuesJohn WilliamsonSteven H. SeeholzerEdwin M. ChanceK.‐A. HossmannJohn A. SmithAnthony E. PeggLloyd B. Klickstein
- Topics
- Protein Hydrolysis and Bioactive Peptides (3 papers)Nitric Oxide and Endothelin Effects (2 papers)Electron Spin Resonance Studies (2 papers)
- Partner nations
- United StatesJapanGermany
In The Last Decade
K. Kobayashi
15 papers receiving 877 citations
Peers
Comparison fields: 5 of 95
- Molecular Biology 507
- Cellular and Molecular Neuroscience 180
- Radiology, Nuclear Medicine and Imaging 145
- Physiology 119
- Clinical Biochemistry 105
Countries citing papers authored by K. Kobayashi
This map shows the geographic impact of K. 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 K. Kobayashi with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites K. Kobayashi more than expected).
Fields of papers citing papers by K. Kobayashi
This network shows the impact of papers produced by K. 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 K. Kobayashi. The network helps show where K. Kobayashi may publish in the future.
Co-authorship network of co-authors of K. Kobayashi
This figure shows the co-authorship network connecting the top 25 collaborators of K. Kobayashi. A scholar is included among the top collaborators of K. 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 K. Kobayashi. K. 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 | 4 | |
| 2 | 89 | |
| 3 | Expression and cDNA cloning of klp-12 gene encoding an ortholog of the chicken chromokinesin, mediating chromosome segregation in Caenorhabditis elegans | 1 |
| 4 | Molecular cloning and expression of the canine metallothionein-III gene. | 7 |
| 5 | 48 | |
| 6 | 1 | |
| 7 | 69 | |
| 8 | 65 | |
| 9 | 7 | |
| 10 | 18 | |
| 11 | 214 | |
| 12 | 55 | |
| 13 | 189 | |
| 14 | 158 | |
| 15 | 10 |
About K. Kobayashi
K. Kobayashi is a scholar working on Aging, Biophysics and Physiology, having authored 15 papers that have together received 935 indexed citations. Recurring topics across this work include Protein Hydrolysis and Bioactive Peptides (3 papers), Nitric Oxide and Endothelin Effects (2 papers) and Electron Spin Resonance Studies (2 papers). The work is most often cited by research in Clinical Biochemistry (105 citations), Endocrine and Autonomic Systems (71 citations) and Cellular and Molecular Neuroscience (180 citations). K. Kobayashi has collaborated with scholars based in United States, Japan and Germany. Frequent co-authors include Paul Kleihues, John Williamson, Steven H. Seeholzer, Edwin M. Chance, K.‐A. Hossmann, John A. Smith, K.‐A. Hossmann, Anthony E. Pegg, Lloyd B. Klickstein and Marlène Freyburger. Their work appears in journals such as Journal of Biological Chemistry, Brain Research and Journal of Neurochemistry.
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.