Kanako Kobayashi
- Physiology top 10%
- Pulmonary and Respiratory Medicine
- Molecular Biology
- Materials Chemistry
- Organic Chemistry
- Co-authors
- Shuichi YanoYuken FukutaniKeisuke SuekiHiromichi NakaharaMisa MiuraKôichi KikuchiHayato MatsuiKátia Kitamura
- Topics
- Tuberculosis Research and Epidemiology (10 papers)Mycobacterium research and diagnosis (10 papers)Infectious Diseases and Mycology (7 papers)
- Journals
- Journal of the American Chemical SocietySHILAP Revista de lepidopterologíaAnalytical Chemistry
- Partner nations
- JapanUnited StatesRussia
In The Last Decade
Kanako Kobayashi
76 papers receiving 813 citations
Peers
Comparison fields: 5 of 119
- Physiology 213
- Pulmonary and Respiratory Medicine 140
- Molecular Biology 124
- Materials Chemistry 114
- Organic Chemistry 107
Countries citing papers authored by Kanako Kobayashi
This map shows the geographic impact of Kanako 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 Kanako Kobayashi with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Kanako Kobayashi more than expected).
Fields of papers citing papers by Kanako Kobayashi
This network shows the impact of papers produced by Kanako 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 Kanako Kobayashi. The network helps show where Kanako Kobayashi may publish in the future.
Co-authorship network of co-authors of Kanako Kobayashi
This figure shows the co-authorship network connecting the top 25 collaborators of Kanako Kobayashi. A scholar is included among the top collaborators of Kanako 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 Kanako Kobayashi. Kanako 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 | 1 | |
| 2 | 1 | |
| 3 | 10 | |
| 4 | 1 | |
| 5 | 1 | |
| 6 | 25 | |
| 7 | 4 | |
| 8 | 8 | |
| 9 | 8 | |
| 10 | 12 | |
| 11 | KP1 expression of ghost Pick bodies, amyloid P-positive astrocytes and selective nigral degeneration in early onset Picks disease. | 12 |
| 12 | 6 | |
| 13 | 14 | |
| 14 | 8 | |
| 15 | 18 | |
| 16 | 5 | |
| 17 | 2 | |
| 18 | 28 | |
| 19 | 6 | |
| 20 | 11 |
About Kanako Kobayashi
Kanako Kobayashi is a scholar working on Microbiology, Small Animals and Infectious Diseases, having authored 81 papers that have together received 851 indexed citations. Recurring topics across this work include Tuberculosis Research and Epidemiology (10 papers), Mycobacterium research and diagnosis (10 papers) and Infectious Diseases and Mycology (7 papers). The work is most often cited by research in Neurology (102 citations), Microbiology (7 citations) and Orthopedics and Sports Medicine (77 citations). Kanako Kobayashi has collaborated with scholars based in Japan, United States and Russia. Frequent co-authors include Shuichi Yano, Yuken Fukutani, Keisuke Sueki, Hiromichi Nakahara, Misa Miura, Kôichi Kikuchi, Hayato Matsui, Kátia Kitamura, Masahiro Hayashi and Y. Koshino. Their work appears in journals such as Journal of the American Chemical Society, SHILAP Revista de lepidopterología and Analytical Chemistry.
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.