Chi Kin Ip
Impact in
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- Regulation of Appetite and Obesity
- Circadian rhythm and melatonin
- Behavioral Neuroscience top 10%
- Stress Responses and Cortisol
Papers in
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- Regulation of Appetite and Obesity 13
- Physiology 11
- Adipose Tissue and Metabolism 9
- Co-authors
- Herbert Herzog (15 shared papers)Yue Qi (9 shared papers)Ronaldo F. Enriquez (8 shared papers)Nicola J. Lee (7 shared papers)Lei Zhang (7 shared papers)Ramon Tasan (6 shared papers)Yan‐Chuan Shi (7 shared papers)Aitak Farzi (5 shared papers)
- Journals
- Cell Metabolism (2 papers)Nature Communications (2 papers)Development (2 papers)The FASEB Journal (2 papers)Current topics in developmental biology (1 paper)
- Partner nations
- AustraliaAustriaUnited States
In The Last Decade
Chi Kin Ip
23 papers receiving 520 citations
Peers
Comparison fields: 5 of 65
- Endocrine and Autonomic Systems 215
- Behavioral Neuroscience 35
- Cellular and Molecular Neuroscience 121
- Physiology 166
- Nutrition and Dietetics 68
Countries citing papers authored by Chi Kin Ip
This map shows the geographic impact of Chi Kin Ip'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 Chi Kin Ip with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Chi Kin Ip more than expected).
Fields of papers citing papers by Chi Kin Ip
This network shows the impact of papers produced by Chi Kin Ip. 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 Chi Kin Ip. The network helps show where Chi Kin Ip may publish in the future.
Co-authors
The 25 scholars most cited alongside Chi Kin Ip, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 23 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2019 | 89 | |
| 2 | 2018 | 54 | |
| 3 | 2022 | 40 | |
| 4 | 2023 | 39 | |
| 5 | 1977 | 37 | |
| 6 | 2018 | 29 | |
| 7 | 2014 | 28 | |
| 8 | 2015 | 24 | |
| 9 | 2017 | 22 | |
| 10 | 2023 | 21 | |
| 11 | 2021 | 19 | |
| 12 | 2022 | 19 | |
| 13 | 2021 | 18 | |
| 14 | 2021 | 17 | |
| 15 | 2020 | 17 | |
| 16 | 2021 | 16 | |
| 17 | 2017 | 10 | |
| 18 | 2019 | 7 | |
| 19 | 2018 | 7 | |
| 20 | 2021 | 5 |
About Chi Kin Ip
Chi Kin Ip is a scholar working on Endocrine and Autonomic Systems, Physiology, Molecular Biology, Cellular and Molecular Neuroscience and Surgery, having authored 23 papers that have together received 526 indexed citations. Recurring topics across this work include Regulation of Appetite and Obesity (13 papers), Adipose Tissue and Metabolism (9 papers), Neuropeptides and Animal Physiology (5 papers), Pancreatic function and diabetes (4 papers), Biochemical Analysis and Sensing Techniques (4 papers), Developmental Biology and Gene Regulation (4 papers), Cancer-related gene regulation (3 papers) and Pluripotent Stem Cells Research (3 papers). The work is most often cited by research in Endocrine and Autonomic Systems (215 citations), Behavioral Neuroscience (35 citations), Cellular and Molecular Neuroscience (121 citations), Physiology (166 citations) and Nutrition and Dietetics (68 citations). Chi Kin Ip has collaborated with scholars based in Australia, Austria and United States. Frequent co-authors include Herbert Herzog, Yue Qi, Ronaldo F. Enriquez, Nicola J. Lee, Lei Zhang, Ramon Tasan, Yan‐Chuan Shi, Aitak Farzi, Júlia Koller and Jay Tepperman. Their work appears in journals such as Cell Metabolism, Nature Communications, Development, The FASEB Journal and Current topics in developmental 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.