Fa‐Yun Che
Impact in
- Spectroscopy top 5%
- Advanced Proteomics Techniques and Applications
- Mass Spectrometry Techniques and Applications
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- Neuropeptides and Animal Physiology
- Neurobiology and Insect Physiology Research
Papers in
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- Protein purification and stability 1
- RNA and protein synthesis mechanisms 1
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- Advanced Proteomics Techniques and Applications 4
- Mass Spectrometry Techniques and Applications 4
- Analytical Chemistry and Chromatography 1
- Co-authors
- Lloyd D. Fricker (7 shared papers)Hui Pan (1 shared paper)Jihyeon Lim (1 shared paper)Bonnie Peng (1 shared paper)Donald F. Steiner (1 shared paper)Yun Feng (2 shared papers)Yimei Qian (2 shared papers)Nino Mzhavia (2 shared papers)
- Journals
- Journal of Mass Spectrometry (2 papers)Journal of Neurochemistry (2 papers)Biochemical Journal (2 papers)Mass Spectrometry Reviews (1 paper)PROTEOMICS (1 paper)
- Partner nations
- United StatesChina
In The Last Decade
Fa‐Yun Che
9 papers receiving 473 citations
Peers
Comparison fields: 5 of 67
- Spectroscopy 205
- Cellular and Molecular Neuroscience 175
- Endocrine and Autonomic Systems 61
- Microbiology 30
- Molecular Biology 321
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 21 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 | 2006 | 174 | |
| 2 | 2005 | 92 | |
| 3 | 2006 | 69 | |
| 4 | 2005 | 64 | |
| 5 | 2002 | 42 | |
| 6 | 2001 | 27 | |
| 7 | 2004 | 10 | |
| 8 | 2011 | 3 | |
| 9 | Thiophosphorylation and Fluorescent Labeling of Substrate Peptide of Protein Kinase. | 2000 | 1 |
| 10 | Potential GM-CSF Antagonists Selected from a Peptide Phage Display Library. | 1999 | 1 |
About Fa‐Yun Che
Fa‐Yun Che is a scholar working on Molecular Biology, Spectroscopy, Cellular and Molecular Neuroscience, Endocrine and Autonomic Systems and Radiology, Nuclear Medicine and Imaging, having authored 10 papers that have together received 483 indexed citations. Recurring topics across this work include Advanced Proteomics Techniques and Applications (4 papers), Mass Spectrometry Techniques and Applications (4 papers), Neuropeptides and Animal Physiology (3 papers), Monoclonal and Polyclonal Antibodies Research (2 papers), Neuroscience of respiration and sleep (1 paper), Protein purification and stability (1 paper), RNA and protein synthesis mechanisms (1 paper) and Analytical Chemistry and Chromatography (1 paper). The work is most often cited by research in Spectroscopy (205 citations), Cellular and Molecular Neuroscience (175 citations), Endocrine and Autonomic Systems (61 citations), Microbiology (30 citations) and Molecular Biology (321 citations). Fa‐Yun Che has collaborated with scholars based in United States and China. Frequent co-authors include Lloyd D. Fricker, Hui Pan, Jihyeon Lim, Bonnie Peng, Donald F. Steiner, Yun Feng, Yimei Qian, Nino Mzhavia, John E. Pintar and Lakshmi A. Devi. Their work appears in journals such as Journal of Mass Spectrometry, Journal of Neurochemistry, Biochemical Journal, Mass Spectrometry Reviews and 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.