Lei Wang
Impact in
- Microbiology top 0.05%
- Antimicrobial Peptides and Activities
- Behavioral Neuroscience top 2%
- Stress Responses and Cortisol
Papers in
-
- Biochemical and Structural Characterization 118
- Microbiology 165
- Antimicrobial Peptides and Activities 160
- Co-authors
- Mei Zhou (156 shared papers)Chris Shaw (121 shared papers)Tianbao Chen (122 shared papers)Chengbang Ma (77 shared papers)Xinping Xi (67 shared papers)Tianbao Chen (23 shared papers)Hongxin Dong (1 shared paper)David M. Holtzman (1 shared paper)
- Journals
- Peptides (15 papers)Toxins (15 papers)Molecules (12 papers)Antibiotics (11 papers)Biomolecules (10 papers)
- Partner nations
- ChinaUnited KingdomUnited States
In The Last Decade
Lei Wang
345 papers receiving 5.7k citations
Peers
Comparison fields: 5 of 154
- Microbiology 2.0k
- Behavioral Neuroscience 245
- Biological Psychiatry 156
- Molecular Biology 2.8k
- Cellular and Molecular Neuroscience 612
Countries citing papers authored by Lei Wang
This map shows the geographic impact of Lei 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 Lei Wang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Lei Wang more than expected).
Fields of papers citing papers by Lei Wang
This network shows the impact of papers produced by Lei 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 Lei Wang. The network helps show where Lei Wang may publish in the future.
Co-authors
The 25 scholars most cited alongside Lei 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 361 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2006 | 347 | |
| 2 | 2003 | 126 | |
| 3 | 2020 | 122 | |
| 4 | 2013 | 120 | |
| 5 | 2007 | 103 | |
| 6 | 2012 | 90 | |
| 7 | 2006 | 78 | |
| 8 | 2011 | 75 | |
| 9 | 2019 | 71 | |
| 10 | 2012 | 71 | |
| 11 | 2018 | 70 | |
| 12 | 2017 | 69 | |
| 13 | 2011 | 64 | |
| 14 | 2015 | 64 | |
| 15 | 2013 | 59 | |
| 16 | 2012 | 56 | |
| 17 | 2007 | 54 | |
| 18 | 2011 | 54 | |
| 19 | 2021 | 53 | |
| 20 | 2012 | 50 |
About Lei Wang
Lei Wang is a scholar working on Molecular Biology, Microbiology, Cellular and Molecular Neuroscience, Immunology and Genetics, having authored 361 papers that have together received 5.8k indexed citations. Recurring topics across this work include Antimicrobial Peptides and Activities (160 papers), Biochemical and Structural Characterization (118 papers), Neurobiology and Insect Physiology Research (45 papers), Neuropeptides and Animal Physiology (32 papers), Invertebrate Immune Response Mechanisms (30 papers), Venomous Animal Envenomation and Studies (29 papers), Amphibian and Reptile Biology (17 papers) and Aquaculture disease management and microbiota (17 papers). The work is most often cited by research in Microbiology (2.0k citations), Behavioral Neuroscience (245 citations), Biological Psychiatry (156 citations), Molecular Biology (2.8k citations) and Cellular and Molecular Neuroscience (612 citations). Lei Wang has collaborated with scholars based in China, United Kingdom and United States. Frequent co-authors include Mei Zhou, Chris Shaw, Tianbao Chen, Chengbang Ma, Xinping Xi, Tianbao Chen, Hongxin Dong, David M. Holtzman, John G. Csernansky and Anne M. Fagan. Their work appears in journals such as Peptides, Toxins, Molecules, Antibiotics and Biomolecules.
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.