Chun-Ying Ku
Impact in
- Sensory Systems top 5%
- Ion Channels and Receptors
- Endocrine and Autonomic Systems top 10%
Papers in
-
- Ion channel regulation and function 3
- Protein Kinase Regulation and GTPase Signaling 3
- Receptor Mechanisms and Signaling 2
-
- Neuroendocrine regulation and behavior 6
- Co-authors
- Barbara M. Sanborn (16 shared papers)Khursheed Anwer (2 shared papers)Manju Monga (2 shared papers)Melvin I. Simon (1 shared paper)Caiping Yue (1 shared paper)Mingyao Liu (1 shared paper)Kimberly L. Dodge (1 shared paper)Shlykov Sg (1 shared paper)
- Journals
- Biology of Reproduction (6 papers)Endocrinology (2 papers)Reproductive Sciences (1 paper)Journal of Biological Chemistry (1 paper)Annals of the New York Academy of Sciences (1 paper)
- Partner nations
- United StatesCanada
In The Last Decade
Chun-Ying Ku
16 papers receiving 529 citations
Peers
Comparison fields: 5 of 71
- Sensory Systems 70
- Endocrine and Autonomic Systems 62
- Social Psychology 155
- Obstetrics and Gynecology 36
- Reproductive Medicine 41
Countries citing papers authored by Chun-Ying Ku
This map shows the geographic impact of Chun-Ying Ku'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 Chun-Ying Ku with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Chun-Ying Ku more than expected).
Fields of papers citing papers by Chun-Ying Ku
This network shows the impact of papers produced by Chun-Ying Ku. 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 Chun-Ying Ku. The network helps show where Chun-Ying Ku may publish in the future.
Co-authors
The 23 scholars most cited alongside Chun-Ying Ku, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 1995 | 129 | |
| 2 | 2000 | 80 | |
| 3 | 1996 | 61 | |
| 4 | 2005 | 58 | |
| 5 | 2004 | 40 | |
| 6 | 2005 | 40 | |
| 7 | Mechanisms regulating oxytocin receptor coupling to phospholipase C in rat and human myometrium. | 1995 | 29 |
| 8 | 1996 | 19 | |
| 9 | 2005 | 19 | |
| 10 | 2008 | 17 | |
| 11 | 2002 | 16 | |
| 12 | 2009 | 12 | |
| 13 | 2009 | 11 | |
| 14 | 2006 | 7 | |
| 15 | 2005 | 6 | |
| 16 | 2010 | 1 |
About Chun-Ying Ku
Chun-Ying Ku is a scholar working on Molecular Biology, Social Psychology, Immunology, Cellular and Molecular Neuroscience and Public Health, Environmental and Occupational Health, having authored 16 papers that have together received 545 indexed citations. Recurring topics across this work include Neuroendocrine regulation and behavior (6 papers), Reproductive System and Pregnancy (4 papers), Ion channel regulation and function (3 papers), Ion Channels and Receptors (3 papers), Protein Kinase Regulation and GTPase Signaling (3 papers), Neurobiology and Insect Physiology Research (2 papers), Pregnancy and preeclampsia studies (2 papers) and Receptor Mechanisms and Signaling (2 papers). The work is most often cited by research in Sensory Systems (70 citations), Endocrine and Autonomic Systems (62 citations), Social Psychology (155 citations), Obstetrics and Gynecology (36 citations) and Reproductive Medicine (41 citations). Chun-Ying Ku has collaborated with scholars based in United States and Canada. Frequent co-authors include Barbara M. Sanborn, Khursheed Anwer, Manju Monga, Melvin I. Simon, Caiping Yue, Mingyao Liu, Kimberly L. Dodge, Shlykov Sg, Miao Zhong and Florence Doualla‐Bell. Their work appears in journals such as Biology of Reproduction, Endocrinology, Reproductive Sciences, Journal of Biological Chemistry and Annals of the New York Academy of Sciences.
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.