Gongyi Shi
- Molecular Biology top 10%
- Cellular and Molecular Neuroscience top 5%
- Cardiology and Cardiovascular Medicine top 5%
- Cell Biology top 5%
- Spectroscopy top 5%
- Co-authors
- James S. TrimmerKensuke NakahiraKenneth J. RhodesScott M. HammondLee E. SchechterQuynh‐Thu LeAlbert C. KoongRobert H. Scannevin
- Topics
- Enterobacteriaceae and Cronobacter Research (4 papers)Advanced Proteomics Techniques and Applications (4 papers)Bacterial Identification and Susceptibility Testing (3 papers)
- Cited by
- Cellular and Molecular NeuroscienceClinical BiochemistryCardiology and Cardiovascular Medicine
- Partner nations
- United StatesGermanyAustralia
In The Last Decade
Gongyi Shi
21 papers receiving 1.4k citations
Peers
Comparison fields: 5 of 110
- Molecular Biology 969
- Cellular and Molecular Neuroscience 367
- Cardiology and Cardiovascular Medicine 329
- Cell Biology 218
- Spectroscopy 176
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 of co-authors of Gongyi Shi
This figure shows the co-authorship network connecting the top 25 collaborators of Gongyi Shi. A scholar is included among the top collaborators of Gongyi Shi based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Gongyi Shi. Gongyi Shi is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 13 | |
| 2 | 63 | |
| 3 | 20 | |
| 4 | 9 | |
| 5 | 89 | |
| 6 | 21 | |
| 7 | 74 | |
| 8 | 8 | |
| 9 | 109 | |
| 10 | 34 | |
| 11 | 144 | |
| 12 | 60 | |
| 13 | 18 | |
| 14 | 100 | |
| 15 | 2 | |
| 16 | 9 | |
| 17 | 87 | |
| 18 | 127 | |
| 19 | 129 | |
| 20 | 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) and Bacterial Identification and Susceptibility Testing (3 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.