Tailong Lei
Impact in
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- Computational Drug Discovery Methods
- Molecular Medicine top 10%
- Antibiotic Resistance in Bacteria
Papers in
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- Bacterial biofilms and quorum sensing 4
- Protein Structure and Dynamics 4
- Chemical Synthesis and Analysis 3
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- Computational Drug Discovery Methods 11
- Co-authors
- Tingjun Hou (10 shared papers)Zhe Wang (9 shared papers)Youyong Li (6 shared papers)Dan Li (7 shared papers)Huiyong Sun (4 shared papers)Dongsheng Cao (3 shared papers)Yu Kang (4 shared papers)Feng Zhu (5 shared papers)
In The Last Decade
Tailong Lei
21 papers receiving 873 citations
Peers
Comparison fields: 5 of 123
- Computational Theory and Mathematics 498
- Molecular Medicine 60
- Pharmacology 72
- Molecular Biology 445
- Pharmacology 82
Countries citing papers authored by Tailong Lei
This map shows the geographic impact of Tailong Lei'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 Tailong Lei with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Tailong Lei more than expected).
Fields of papers citing papers by Tailong Lei
This network shows the impact of papers produced by Tailong Lei. 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 Tailong Lei. The network helps show where Tailong Lei may publish in the future.
Co-authors
The 25 scholars most cited alongside Tailong Lei, 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 22 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2016 | 132 | |
| 2 | 2020 | 122 | |
| 3 | 2019 | 101 | |
| 4 | 2018 | 97 | |
| 5 | 2018 | 73 | |
| 6 | 2017 | 68 | |
| 7 | 2017 | 63 | |
| 8 | 2020 | 59 | |
| 9 | 2018 | 39 | |
| 10 | 2018 | 27 | |
| 11 | 2017 | 19 | |
| 12 | 2022 | 15 | |
| 13 | 2022 | 14 | |
| 14 | 2023 | 12 | |
| 15 | 2019 | 11 | |
| 16 | 2023 | 8 | |
| 17 | 2024 | 7 | |
| 18 | 2024 | 6 | |
| 19 | 2023 | 4 | |
| 20 | 2024 | 1 |
About Tailong Lei
Tailong Lei is a scholar working on Molecular Biology, Computational Theory and Mathematics, Molecular Medicine, Infectious Diseases and Pharmacology, having authored 22 papers that have together received 879 indexed citations. Recurring topics across this work include Computational Drug Discovery Methods (11 papers), Antibiotic Resistance in Bacteria (8 papers), Bacterial biofilms and quorum sensing (4 papers), Protein Structure and Dynamics (4 papers), Chemical Synthesis and Analysis (3 papers), Analytical Methods in Pharmaceuticals (2 papers), Antibiotics Pharmacokinetics and Efficacy (2 papers) and Machine Learning in Materials Science (2 papers). The work is most often cited by research in Computational Theory and Mathematics (498 citations), Molecular Medicine (60 citations), Pharmacology (72 citations), Molecular Biology (445 citations) and Pharmacology (82 citations). Tailong Lei has collaborated with scholars based in China, Macao and Czechia. Frequent co-authors include Tingjun Hou, Zhe Wang, Youyong Li, Dan Li, Huiyong Sun, Dongsheng Cao, Yu Kang, Feng Zhu, Zhenhua Wu and Dejun Jiang. Their work appears in journals such as Molecular Pharmaceutics, Clinical Microbiology and Infection, Journal of Cheminformatics, Emerging Microbes & Infections and Briefings in Bioinformatics.
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.