Fa‐Yun Che
Impact in
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- Regulation of Appetite and Obesity
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- Neuropeptides and Animal Physiology
Papers in
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- Receptor Mechanisms and Signaling 4
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- Neuropeptides and Animal Physiology 8
- Neurobiology and Insect Physiology Research 3
- Co-authors
- Lloyd D. Fricker (10 shared papers)Lakshmi A. Devi (3 shared papers)Iryna Berezniuk (3 shared papers)Xin Zhang (2 shared papers)Elena Kalinina (2 shared papers)Nino Mzhavia (1 shared paper)Lin Yan (1 shared paper)Hong Li (1 shared paper)
- Journals
- Analytical Chemistry (3 papers)Journal of Molecular Neuroscience (2 papers)Journal of Neurochemistry (2 papers)Journal of Cell Science (2 papers)Molecular & Cellular Proteomics (1 paper)
- Partner nations
- United StatesFranceChina
In The Last Decade
Fa‐Yun Che
15 papers receiving 738 citations
Peers
Comparison fields: 5 of 74
- Endocrine and Autonomic Systems 115
- Cellular and Molecular Neuroscience 253
- Spectroscopy 235
- Cell Biology 114
- Molecular Biology 470
Countries citing papers authored by Fa‐Yun Che
This map shows the geographic impact of Fa‐Yun Che'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 Fa‐Yun Che with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Fa‐Yun Che more than expected).
Fields of papers citing papers by Fa‐Yun Che
This network shows the impact of papers produced by Fa‐Yun Che. 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 Fa‐Yun Che. The network helps show where Fa‐Yun Che may publish in the future.
Co-authors
The 25 scholars most cited alongside Fa‐Yun Che, 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 | 2001 | 121 | |
| 2 | 2008 | 84 | |
| 3 | 2002 | 81 | |
| 4 | 2005 | 71 | |
| 5 | 2004 | 57 | |
| 6 | 2007 | 56 | |
| 7 | 2011 | 53 | |
| 8 | 2006 | 42 | |
| 9 | 2010 | 38 | |
| 10 | 2006 | 35 | |
| 11 | 2015 | 30 | |
| 12 | 2001 | 25 | |
| 13 | 2006 | 25 | |
| 14 | 2013 | 23 | |
| 15 | 2009 | 15 |
About Fa‐Yun Che
Fa‐Yun Che is a scholar working on Molecular Biology, Cellular and Molecular Neuroscience, Cell Biology, Spectroscopy and Virology, having authored 15 papers that have together received 756 indexed citations. Recurring topics across this work include Neuropeptides and Animal Physiology (8 papers), Receptor Mechanisms and Signaling (4 papers), Advanced Proteomics Techniques and Applications (3 papers), Neurobiology and Insect Physiology Research (3 papers), Cellular transport and secretion (2 papers), HIV Research and Treatment (2 papers), Mass Spectrometry Techniques and Applications (2 papers) and Hypothalamic control of reproductive hormones (1 paper). The work is most often cited by research in Endocrine and Autonomic Systems (115 citations), Cellular and Molecular Neuroscience (253 citations), Spectroscopy (235 citations), Cell Biology (114 citations) and Molecular Biology (470 citations). Fa‐Yun Che has collaborated with scholars based in United States, France and China. Frequent co-authors include Lloyd D. Fricker, Lakshmi A. Devi, Iryna Berezniuk, Xin Zhang, Elena Kalinina, Nino Mzhavia, Lin Yan, Hong Li, Jihyeon Lim and Edward Nieves. Their work appears in journals such as Analytical Chemistry, Journal of Molecular Neuroscience, Journal of Neurochemistry, Journal of Cell Science and Molecular & Cellular Proteomics.
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.