Kinji Inoue
- Molecular Biology top 5%
- Endocrine and Autonomic Systems top 0.2%
- Reproductive Medicine top 0.2%
- Endocrinology, Diabetes and Metabolism top 1%
- Epidemiology top 2%
- Co-authors
- Eisuke ItakuraNoboru MizushimaChieko KishiSachika AdachiHirokazu MatsumotoKazumasa KurosumiTakafumi SakaiHiroko Tsukamura
- Topics
- Growth Hormone and Insulin-like Growth Factors (43 papers)Hypothalamic control of reproductive hormones (27 papers)Neuropeptides and Animal Physiology (17 papers)
- Partner nations
- JapanUnited StatesCzechia
In The Last Decade
Kinji Inoue
122 papers receiving 6.4k citations
Hit Papers
Peers
Comparison fields: 5 of 115
- Molecular Biology 2.1k
- Endocrine and Autonomic Systems 1.9k
- Reproductive Medicine 1.8k
- Endocrinology, Diabetes and Metabolism 1.3k
- Epidemiology 1.3k
Countries citing papers authored by Kinji Inoue
This map shows the geographic impact of Kinji Inoue'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 Kinji Inoue with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Kinji Inoue more than expected).
Fields of papers citing papers by Kinji Inoue
This network shows the impact of papers produced by Kinji Inoue. 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 Kinji Inoue. The network helps show where Kinji Inoue may publish in the future.
Co-authorship network of co-authors of Kinji Inoue
This figure shows the co-authorship network connecting the top 25 collaborators of Kinji Inoue. A scholar is included among the top collaborators of Kinji Inoue 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 Kinji Inoue. Kinji Inoue is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 11 | |
| 2 | 17 | |
| 3 | 74 | |
| 4 | 22 | |
| 5 | Beclin 1 Forms Two Distinct Phosphatidylinositol 3-Kinase Complexes with Mammalian Atg14 and UVRAGbreakdown → | 919 |
| 6 | 3 | |
| 7 | Identification of nesfatin-1 as a satiety molecule in the hypothalamusbreakdown → | 832 |
| 8 | 7 | |
| 9 | 32 | |
| 10 | 421 | |
| 11 | 24 | |
| 12 | 20 | |
| 13 | 25 | |
| 14 | 56 | |
| 15 | 22 | |
| 16 | 27 | |
| 17 | 22 | |
| 18 | 82 | |
| 19 | 12 | |
| 20 | 31 |
About Kinji Inoue
Kinji Inoue is a scholar working on Endocrine and Autonomic Systems, Reproductive Medicine and Endocrinology, Diabetes and Metabolism, having authored 123 papers that have together received 6.5k indexed citations. Recurring topics across this work include Growth Hormone and Insulin-like Growth Factors (43 papers), Hypothalamic control of reproductive hormones (27 papers) and Neuropeptides and Animal Physiology (17 papers). The work is most often cited by research in Endocrine and Autonomic Systems (1.9k citations), Reproductive Medicine (1.8k citations) and Behavioral Neuroscience (328 citations). Kinji Inoue has collaborated with scholars based in Japan, United States and Czechia. Frequent co-authors include Eisuke Itakura, Noboru Mizushima, Chieko Kishi, Sachika Adachi, Hirokazu Matsumoto, Kazumasa Kurosumi, Takafumi Sakai, Hiroko Tsukamura, Hiroyuki Shimizu and Kei‐ichiro Maeda. Their work appears in journals such as Nature, The Journal of Clinical Endocrinology & Metabolism and Brain Research.
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.