Hidehiko Kondo
- Epidemiology top 1%
- Physiology top 1%
- Molecular Biology top 10%
- Cardiology and Cardiovascular Medicine top 5%
- Endocrine and Autonomic Systems top 1%
- Co-authors
- Tohru FunahashiShinji KiharaYūji MatsuzawaMorihiro MatsudaIichiro ShimomuraHitoshi NishizawaKen KishidaNorikazu Maeda
- Topics
- Adipose Tissue and Metabolism (15 papers)Peroxisome Proliferator-Activated Receptors (6 papers)Adipokines, Inflammation, and Metabolic Diseases (5 papers)
- Partner nations
- Japan
In The Last Decade
Hidehiko Kondo
28 papers receiving 4.2k citations
Hit Papers
Peers
Comparison fields: 5 of 105
- Epidemiology 2.3k
- Physiology 1.9k
- Molecular Biology 1.2k
- Cardiology and Cardiovascular Medicine 702
- Endocrine and Autonomic Systems 700
Countries citing papers authored by Hidehiko Kondo
This map shows the geographic impact of Hidehiko Kondo'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 Hidehiko Kondo with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Hidehiko Kondo more than expected).
Fields of papers citing papers by Hidehiko Kondo
This network shows the impact of papers produced by Hidehiko Kondo. 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 Hidehiko Kondo. The network helps show where Hidehiko Kondo may publish in the future.
Co-authorship network of co-authors of Hidehiko Kondo
This figure shows the co-authorship network connecting the top 25 collaborators of Hidehiko Kondo. A scholar is included among the top collaborators of Hidehiko Kondo 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 Hidehiko Kondo. Hidehiko Kondo is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 17 | |
| 2 | 19 | |
| 3 | 11 | |
| 4 | 77 | |
| 5 | 9 | |
| 6 | 87 | |
| 7 | 91 | |
| 8 | 29 | |
| 9 | 60 | |
| 10 | 60 | |
| 11 | Androgens Decrease Plasma Adiponectin, an Insulin-Sensitizing Adipocyte-Derived Proteinbreakdown → | 689 |
| 12 | Diet-induced insulin resistance in mice lacking adiponectin/ACRP30breakdown → | 1700 |
| 13 | 137 | |
| 14 | 18 | |
| 15 | 107 | |
| 16 | 101 | |
| 17 | 49 | |
| 18 | 125 | |
| 19 | 76 | |
| 20 | 21 |
About Hidehiko Kondo
Hidehiko Kondo is a scholar working on Physiology, Endocrine and Autonomic Systems and Nutrition and Dietetics, having authored 28 papers that have together received 4.4k indexed citations. Recurring topics across this work include Adipose Tissue and Metabolism (15 papers), Peroxisome Proliferator-Activated Receptors (6 papers) and Adipokines, Inflammation, and Metabolic Diseases (5 papers). The work is most often cited by research in Endocrine and Autonomic Systems (700 citations), Physiology (1.9k citations) and Epidemiology (2.3k citations). Hidehiko Kondo has collaborated with scholars based in Japan. Frequent co-authors include Tohru Funahashi, Shinji Kihara, Yūji Matsuzawa, Morihiro Matsuda, Iichiro Shimomura, Hitoshi Nishizawa, Ken Kishida, Norikazu Maeda, Hiroyuki Nagaretani and Yoshihiro Tochino. Their work appears in journals such as Journal of Biological Chemistry, Nature Medicine and Journal of Molecular Biology.
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.