Geqing Wang
Impact in
- Endocrinology top 10%
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- Antibiotic Resistance in Bacteria
Papers in
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- Protein Structure and Dynamics 7
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- Endoplasmic Reticulum Stress and Disease 5
- Co-authors
- M.J. Scanlon (14 shared papers)Begoña Heras (14 shared papers)Jason J. Paxman (7 shared papers)Makrina Totsika (7 shared papers)Biswaranjan Mohanty (8 shared papers)Raymond S. Norton (4 shared papers)Robin F. Anders (3 shared papers)Christopher A. MacRaild (4 shared papers)
- Journals
- ChemMedChem (2 papers)Journal of Biological Chemistry (2 papers)Journal of Medicinal Chemistry (2 papers)Antioxidants and Redox Signaling (2 papers)Nature Methods (1 paper)
- Partner nations
- AustraliaUnited StatesAustria
In The Last Decade
Geqing Wang
20 papers receiving 275 citations
Peers
Comparison fields: 5 of 65
- Endocrinology 33
- Molecular Medicine 27
- Microbiology 17
- Cell Biology 36
- Molecular Biology 151
Countries citing papers authored by Geqing Wang
This map shows the geographic impact of Geqing Wang'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 Geqing Wang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Geqing Wang more than expected).
Fields of papers citing papers by Geqing Wang
This network shows the impact of papers produced by Geqing Wang. 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 Geqing Wang. The network helps show where Geqing Wang may publish in the future.
Co-authors
The 25 scholars most cited alongside Geqing Wang, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 21 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2014 | 34 | |
| 2 | 2017 | 28 | |
| 3 | 2019 | 27 | |
| 4 | 2020 | 21 | |
| 5 | 2016 | 20 | |
| 6 | 2019 | 19 | |
| 7 | 2014 | 18 | |
| 8 | 2014 | 18 | |
| 9 | 2019 | 17 | |
| 10 | 2016 | 13 | |
| 11 | 2021 | 11 | |
| 12 | 2021 | 9 | |
| 13 | 2013 | 8 | |
| 14 | 2019 | 7 | |
| 15 | 2021 | 7 | |
| 16 | 2018 | 6 | |
| 17 | 2022 | 4 | |
| 18 | 2022 | 4 | |
| 19 | 2023 | 4 | |
| 20 | 2024 | 3 |
About Geqing Wang
Geqing Wang is a scholar working on Molecular Biology, Cell Biology, Genetics, Endocrinology and Public Health, Environmental and Occupational Health, having authored 21 papers that have together received 278 indexed citations. Recurring topics across this work include Protein Structure and Dynamics (7 papers), Bacterial Genetics and Biotechnology (5 papers), Endoplasmic Reticulum Stress and Disease (5 papers), Malaria Research and Control (4 papers), Antibiotic Resistance in Bacteria (3 papers), Vibrio bacteria research studies (3 papers), Computational Drug Discovery Methods (2 papers) and Salmonella and Campylobacter epidemiology (2 papers). The work is most often cited by research in Endocrinology (33 citations), Molecular Medicine (27 citations), Microbiology (17 citations), Cell Biology (36 citations) and Molecular Biology (151 citations). Geqing Wang has collaborated with scholars based in Australia, United States and Austria. Frequent co-authors include M.J. Scanlon, Begoña Heras, Jason J. Paxman, Makrina Totsika, Biswaranjan Mohanty, Raymond S. Norton, Robin F. Anders, Christopher A. MacRaild, Jennifer L. Martin and Pramod Subedi. Their work appears in journals such as ChemMedChem, Journal of Biological Chemistry, Journal of Medicinal Chemistry, Antioxidants and Redox Signaling and Nature Methods.
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.