Kunihisa Kobayashi
- Molecular Biology top 5%
- Physiology top 2%
- Endocrinology, Diabetes and Metabolism top 2%
- Surgery top 5%
- Biochemistry top 0.5%
- Co-authors
- Toyoshi InoguchiHajime NawataNoriyuki SonodaLawrence ChanHideki SumimotoSusumu TaniguchiHirotaka TsubouchiYasutaka Maeda
- Topics
- Adipose Tissue and Metabolism (15 papers)Lipid metabolism and biosynthesis (14 papers)Diabetes Treatment and Management (11 papers)
- Partner nations
- JapanUnited StatesChina
In The Last Decade
Kunihisa Kobayashi
102 papers receiving 3.5k citations
Peers
Comparison fields: 5 of 136
- Molecular Biology 1.5k
- Physiology 890
- Endocrinology, Diabetes and Metabolism 751
- Surgery 604
- Biochemistry 493
Countries citing papers authored by Kunihisa Kobayashi
This map shows the geographic impact of Kunihisa 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 Kunihisa Kobayashi with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Kunihisa Kobayashi more than expected).
Fields of papers citing papers by Kunihisa Kobayashi
This network shows the impact of papers produced by Kunihisa 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 Kunihisa Kobayashi. The network helps show where Kunihisa Kobayashi may publish in the future.
Co-authorship network of co-authors of Kunihisa Kobayashi
This figure shows the co-authorship network connecting the top 25 collaborators of Kunihisa Kobayashi. A scholar is included among the top collaborators of Kunihisa 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 Kunihisa Kobayashi. Kunihisa 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 | 4 | |
| 3 | 1 | |
| 4 | 4 | |
| 5 | 8 | |
| 6 | 24 | |
| 7 | 31 | |
| 8 | 22 | |
| 9 | A case of miliary tuberculosis with type 2 diabetes mellitus complicated with hemophagocytic syndrome, disseminated intravascular coagulation, acute respiratory distress syndrome and acute renal failure | 1 |
| 10 | Evaluation of the effect of particle shape on the bearing capacity of railroad ballast with discontinuous analysis | 1 |
| 11 | 54 | |
| 12 | 13 | |
| 13 | 210 | |
| 14 | 42 | |
| 15 | 209 | |
| 16 | 40 | |
| 17 | 86 | |
| 18 | 0 | |
| 19 | 4 | |
| 20 | 1 |
About Kunihisa Kobayashi
Kunihisa Kobayashi is a scholar working on Biochemistry, Endocrinology, Diabetes and Metabolism and Clinical Biochemistry, having authored 106 papers that have together received 3.6k indexed citations. Recurring topics across this work include Adipose Tissue and Metabolism (15 papers), Lipid metabolism and biosynthesis (14 papers) and Diabetes Treatment and Management (11 papers). The work is most often cited by research in Biochemistry (493 citations), Clinical Biochemistry (401 citations) and Endocrinology, Diabetes and Metabolism (751 citations). Kunihisa Kobayashi has collaborated with scholars based in Japan, United States and China. Frequent co-authors include Toyoshi Inoguchi, Hajime Nawata, Noriyuki Sonoda, Lawrence Chan, Hideki Sumimoto, Susumu Taniguchi, Hirotaka Tsubouchi, Yasutaka Maeda, Kazuhiro Oka and Naotaka Sekiguchi. Their work appears in journals such as Journal of Biological Chemistry, 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.