Keren Gu
Impact in
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- Computational Drug Discovery Methods
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- vaccines and immunoinformatics approaches
- Enzyme Catalysis and Immobilization
Papers in
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- vaccines and immunoinformatics approaches 4
- Protein Structure and Dynamics 2
- Bioinformatics and Genomic Networks 2
- Lipid Membrane Structure and Behavior 2
- Gene expression and cancer classification 1
- Enzyme Catalysis and Immobilization 1
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- Cervical Cancer and HPV Research 2
- Co-authors
- Dong‐Qing Wei (12 shared papers)Gurudeeban Selvaraj (9 shared papers)Satyavani Kaliamurthi (9 shared papers)Md. Imtaiyaz Hassan (3 shared papers)Faez Iqbal Khan (3 shared papers)Shams Tabrez (1 shared paper)Aman Chandra Kaushik (3 shared papers)Yong-Kai Wei (3 shared papers)
- Journals
- Journal of Biomolecular Structure and Dynamics (2 papers)Current Pharmaceutical Design (2 papers)Molecular Simulation (1 paper)Journal of Biomedical Informatics (1 paper)Viruses (1 paper)
- Partner nations
- ChinaIndiaSaudi Arabia
In The Last Decade
Keren Gu
14 papers receiving 455 citations
Peers
Comparison fields: 5 of 80
- Computational Theory and Mathematics 63
- Molecular Biology 257
- Biotechnology 27
- Toxicology 9
- Microbiology 14
Countries citing papers authored by Keren Gu
This map shows the geographic impact of Keren Gu'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 Keren Gu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Keren Gu more than expected).
Fields of papers citing papers by Keren Gu
This network shows the impact of papers produced by Keren Gu. 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 Keren Gu. The network helps show where Keren Gu may publish in the future.
Co-authors
The 25 scholars most cited alongside Keren Gu, 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 | 2015 | 131 | |
| 2 | 2018 | 47 | |
| 3 | 2016 | 41 | |
| 4 | 2019 | 36 | |
| 5 | 2019 | 35 | |
| 6 | 2019 | 33 | |
| 7 | 2019 | 32 | |
| 8 | 2018 | 24 | |
| 9 | 2018 | 22 | |
| 10 | 2019 | 19 | |
| 11 | 2021 | 13 | |
| 12 | 2016 | 10 | |
| 13 | 2019 | 9 | |
| 14 | 2019 | 6 |
About Keren Gu
Keren Gu is a scholar working on Molecular Biology, Epidemiology, Immunology, Food Science and Materials Chemistry, having authored 14 papers that have together received 458 indexed citations. Recurring topics across this work include vaccines and immunoinformatics approaches (4 papers), Cervical Cancer and HPV Research (2 papers), Protein Structure and Dynamics (2 papers), Immunotherapy and Immune Responses (2 papers), Bioinformatics and Genomic Networks (2 papers), Lipid Membrane Structure and Behavior (2 papers), Gene expression and cancer classification (1 paper) and Enzyme Catalysis and Immobilization (1 paper). The work is most often cited by research in Computational Theory and Mathematics (63 citations), Molecular Biology (257 citations), Biotechnology (27 citations), Toxicology (9 citations) and Microbiology (14 citations). Keren Gu has collaborated with scholars based in China, India and Saudi Arabia. Frequent co-authors include Dong‐Qing Wei, Gurudeeban Selvaraj, Satyavani Kaliamurthi, Md. Imtaiyaz Hassan, Faez Iqbal Khan, Shams Tabrez, Aman Chandra Kaushik, Yong-Kai Wei, William C. Cho and Abbas Khan. Their work appears in journals such as Journal of Biomolecular Structure and Dynamics, Current Pharmaceutical Design, Molecular Simulation, Journal of Biomedical Informatics and Viruses.
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.