Gongyi Shi
- Clinical Biochemistry top 5%
- Bacterial Identification and Susceptibility Testing 3
- Molecular Biology top 10%
- Ion channel regulation and function 3
- Molecular Biology Techniques and Applications 2
- RNA modifications and cancer 2
- Advanced Biosensing Techniques and Applications 2
- Molecular Medicine top 10%
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- Enterobacteriaceae and Cronobacter Research 4
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- Advanced Proteomics Techniques and Applications 4
- Mass Spectrometry Techniques and Applications 2
- Co-authors
- James S. TrimmerKensuke NakahiraKenneth J. RhodesScott M. HammondLee E. SchechterQuynh‐Thu LeAlbert C. KoongRobert H. Scannevin
- Cited by
- Cellular and Molecular NeuroscienceClinical BiochemistryCardiology and Cardiovascular Medicine
- Journals
- Journal of Biological Chemistry (1 paper)Neuron (1 paper)Journal of Clinical Oncology (1 paper)
- Partner nations
- United StatesGermanyAustralia
In The Last Decade
Gongyi Shi
21 papers receiving 1.4k citations
Peers
Comparison fields: 5 of 110
- Cellular and Molecular Neuroscience 367
- Clinical Biochemistry 134
- Cardiology and Cardiovascular Medicine 329
- Molecular Biology 969
- Molecular Medicine 69
Countries citing papers authored by Gongyi Shi
This map shows the geographic impact of Gongyi Shi'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 Gongyi Shi with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Gongyi Shi more than expected).
Fields of papers citing papers by Gongyi Shi
This network shows the impact of papers produced by Gongyi Shi. 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 Gongyi Shi. The network helps show where Gongyi Shi may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Gongyi Shi, 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 | 2019 | 13 | |
| 2 | 2018 | 63 | |
| 3 | 2018 | 20 | |
| 4 | 2018 | 9 | |
| 5 | 2011 | 89 | |
| 6 | 2011 | 21 | |
| 7 | 2009 | 74 | |
| 8 | 2005 | 8 | |
| 9 | 2005 | 109 | |
| 10 | 2004 | 34 | |
| 11 | 2004 | 144 | |
| 12 | 2004 | 60 | |
| 13 | 2003 | 18 | |
| 14 | 2003 | 100 | |
| 15 | 2003 | 2 | |
| 16 | 2003 | 9 | |
| 17 | 1998 | 87 | |
| 18 | 1997 | 127 | |
| 19 | 1996 | 129 | |
| 20 | 1996 | 309 |
About Gongyi Shi
Gongyi Shi is a scholar working on Endocrinology, Clinical Biochemistry and Spectroscopy, having authored 21 papers that have together received 1.4k indexed citations. Recurring topics across this work include Enterobacteriaceae and Cronobacter Research (4 papers), Advanced Proteomics Techniques and Applications (4 papers), Bacterial Identification and Susceptibility Testing (3 papers), Ion channel regulation and function (3 papers), Molecular Biology Techniques and Applications (2 papers), Mass Spectrometry Techniques and Applications (2 papers), RNA modifications and cancer (2 papers) and Advanced Biosensing Techniques and Applications (2 papers). The work is most often cited by research in Cellular and Molecular Neuroscience (367 citations), Clinical Biochemistry (134 citations) and Cardiology and Cardiovascular Medicine (329 citations). Gongyi Shi has collaborated with scholars based in United States, Germany and Australia. Frequent co-authors include James S. Trimmer, Kensuke Nakahira, Kenneth J. Rhodes, Scott M. Hammond, Lee E. Schechter, Quynh‐Thu Le, Albert C. Koong, Robert H. Scannevin, Hideyuki Murakoshi and Scott G. Soltys. Their work appears in journals such as Journal of Biological Chemistry, Neuron and Journal of Clinical Oncology.
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.