Fa‐Yun Che
Impact in
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- Regulation of Appetite and Obesity
- Spectroscopy top 5%
- Advanced Proteomics Techniques and Applications
- Mass Spectrometry Techniques and Applications
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)Lin Yan (1 shared paper)Hong Li (1 shared paper)Nino Mzhavia (1 shared paper)
- Journals
- Analytical Chemistry (3 papers)Journal of Cell Science (2 papers)Journal of Neurochemistry (2 papers)Journal of Molecular Neuroscience (2 papers)The Journal of Immunology (1 paper)
- Partner nations
- United StatesFranceIndia
In The Last Decade
Fa‐Yun Che
15 papers receiving 709 citations
Peers
Comparison fields: 5 of 74
- Endocrine and Autonomic Systems 107
- Spectroscopy 228
- Cellular and Molecular Neuroscience 239
- Cell Biology 115
- Molecular Biology 458
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 | 112 | |
| 2 | 2008 | 80 | |
| 3 | 2002 | 78 | |
| 4 | 2005 | 69 | |
| 5 | 2004 | 55 | |
| 6 | 2007 | 55 | |
| 7 | 2011 | 51 | |
| 8 | 2006 | 40 | |
| 9 | 2010 | 36 | |
| 10 | 2006 | 35 | |
| 11 | 2015 | 28 | |
| 12 | 2006 | 25 | |
| 13 | 2001 | 22 | |
| 14 | 2013 | 22 | |
| 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 723 indexed citations. Recurring topics across this work include Neuropeptides and Animal Physiology (8 papers), Receptor Mechanisms and Signaling (4 papers), Neurobiology and Insect Physiology Research (3 papers), Advanced Proteomics Techniques and Applications (3 papers), HIV Research and Treatment (2 papers), Mass Spectrometry Techniques and Applications (2 papers), Cellular transport and secretion (2 papers) and Pancreatic function and diabetes (1 paper). The work is most often cited by research in Endocrine and Autonomic Systems (107 citations), Spectroscopy (228 citations), Cellular and Molecular Neuroscience (239 citations), Cell Biology (115 citations) and Molecular Biology (458 citations). Fa‐Yun Che has collaborated with scholars based in United States, France and India. Frequent co-authors include Lloyd D. Fricker, Lakshmi A. Devi, Iryna Berezniuk, Xin Zhang, Elena Kalinina, Lin Yan, Hong Li, Nino Mzhavia, Ruth Hogue Angeletti and Edward Nieves. Their work appears in journals such as Analytical Chemistry, Journal of Cell Science, Journal of Neurochemistry, Journal of Molecular Neuroscience and The Journal of Immunology.
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.