Takako Kobayashi
- Molecular Biology
- Nutrition and Dietetics top 10%
- Physiology
- Surgery
- Nephrology top 10%
- Co-authors
- Shigemitsu TanakaChikako KiyoharaTaro ShirakawaKenji SonomotoJiro NakayamaMina TsubouchiMitsuyasu ItohKeiko Uchimura
- Topics
- Renal Diseases and Glomerulopathies (4 papers)Neutrophil, Myeloperoxidase and Oxidative Mechanisms (3 papers)Chronic Kidney Disease and Diabetes (3 papers)
- Cited by
- NephrologyPharmacyGastroenterology
- Journals
- Annals of the New York Academy of SciencesBiochimica et Biophysica Acta (BBA) - General SubjectsMetabolism
- Partner nations
- Japan
In The Last Decade
Takako Kobayashi
33 papers receiving 728 citations
Peers
Comparison fields: 5 of 102
- Molecular Biology 345
- Nutrition and Dietetics 111
- Physiology 108
- Surgery 81
- Nephrology 80
Countries citing papers authored by Takako Kobayashi
This map shows the geographic impact of Takako 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 Takako Kobayashi with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Takako Kobayashi more than expected).
Fields of papers citing papers by Takako Kobayashi
This network shows the impact of papers produced by Takako 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 Takako Kobayashi. The network helps show where Takako Kobayashi may publish in the future.
Co-authorship network of co-authors of Takako Kobayashi
This figure shows the co-authorship network connecting the top 25 collaborators of Takako Kobayashi. A scholar is included among the top collaborators of Takako 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 Takako Kobayashi. Takako 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 | Clinical Course of Eosinophilic Cellulitis. | 1 |
| 3 | 1 | |
| 4 | 7 | |
| 5 | 70 | |
| 6 | 286 | |
| 7 | 25 | |
| 8 | Intensive insulin therapy for Japanese patients with type 2 diabetes mellitus--results in the patients from single hospital. | 2 |
| 9 | 24 | |
| 10 | 10 | |
| 11 | 23 | |
| 12 | 11 | |
| 13 | 9 | |
| 14 | 13 | |
| 15 | 5 | |
| 16 | 9 | |
| 17 | 56 | |
| 18 | 3 | |
| 19 | 2 | |
| 20 | 0 |
About Takako Kobayashi
Takako Kobayashi is a scholar working on Nephrology, Developmental Biology and Endocrinology, Diabetes and Metabolism, having authored 35 papers that have together received 746 indexed citations. Recurring topics across this work include Renal Diseases and Glomerulopathies (4 papers), Neutrophil, Myeloperoxidase and Oxidative Mechanisms (3 papers) and Chronic Kidney Disease and Diabetes (3 papers). The work is most often cited by research in Nephrology (80 citations), Pharmacy (41 citations) and Gastroenterology (42 citations). Takako Kobayashi has collaborated with scholars based in Japan. Frequent co-authors include Shigemitsu Tanaka, Chikako Kiyohara, Taro Shirakawa, Kenji Sonomoto, Jiro Nakayama, Mina Tsubouchi, Mitsuyasu Itoh, Keiko Uchimura, Kentaro Fujiwara and Masao Toyoda. Their work appears in journals such as Annals of the New York Academy of Sciences, Biochimica et Biophysica Acta (BBA) - General Subjects and 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.