Pei Lu
Impact in
- Endocrinology top 10%
- Vibrio bacteria research studies
- Molecular Medicine top 10%
- Antibiotic Resistance in Bacteria
Papers in
-
- RNA Research and Splicing 5
- Genetics 12
- Bacterial Genetics and Biotechnology 8
- Yersinia bacterium, plague, ectoparasites research 5
- Co-authors
- Yangbo Hu (15 shared papers)Shiyun Chen (15 shared papers)Yong Zhang (8 shared papers)Lamei Li (5 shared papers)Steve Atkinson (2 shared papers)Jianhe Sun (2 shared papers)Yaxian Yan (2 shared papers)Jianping Jiang (2 shared papers)
- Journals
- PLoS ONE (3 papers)Microbiology (3 papers)Molecular Microbiology (2 papers)FEBS Letters (2 papers)Journal of Bacteriology (2 papers)
- Partner nations
- ChinaUnited StatesUnited Kingdom
In The Last Decade
Pei Lu
33 papers receiving 529 citations
Peers
Comparison fields: 5 of 77
- Endocrinology 59
- Molecular Medicine 42
- Infectious Diseases 115
- Genetics 162
- Epidemiology 124
Countries citing papers authored by Pei Lu
This map shows the geographic impact of Pei Lu'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 Pei Lu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Pei Lu more than expected).
Fields of papers citing papers by Pei Lu
This network shows the impact of papers produced by Pei Lu. 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 Pei Lu. The network helps show where Pei Lu may publish in the future.
Co-authors
The 25 scholars most cited alongside Pei Lu, 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 34 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2016 | 67 | |
| 2 | 2009 | 59 | |
| 3 | 2010 | 34 | |
| 4 | 2003 | 31 | |
| 5 | 2020 | 30 | |
| 6 | 2016 | 29 | |
| 7 | 2010 | 29 | |
| 8 | 2020 | 28 | |
| 9 | 2005 | 22 | |
| 10 | 2009 | 19 | |
| 11 | 2017 | 16 | |
| 12 | 2014 | 15 | |
| 13 | 2012 | 14 | |
| 14 | 2018 | 14 | |
| 15 | 2021 | 13 | |
| 16 | 2018 | 13 | |
| 17 | 2024 | 13 | |
| 18 | 2023 | 12 | |
| 19 | 2021 | 11 | |
| 20 | 2023 | 11 |
About Pei Lu
Pei Lu is a scholar working on Molecular Biology, Genetics, Epidemiology, Infectious Diseases and Cancer Research, having authored 34 papers that have together received 535 indexed citations. Recurring topics across this work include Bacterial Genetics and Biotechnology (8 papers), RNA Research and Splicing (5 papers), Yersinia bacterium, plague, ectoparasites research (5 papers), Mycobacterium research and diagnosis (4 papers), Cancer-related molecular mechanisms research (4 papers), Tuberculosis Research and Epidemiology (4 papers), Bacteriophages and microbial interactions (4 papers) and Antibiotic Resistance in Bacteria (3 papers). The work is most often cited by research in Endocrinology (59 citations), Molecular Medicine (42 citations), Infectious Diseases (115 citations), Genetics (162 citations) and Epidemiology (124 citations). Pei Lu has collaborated with scholars based in China, United States and United Kingdom. Frequent co-authors include Yangbo Hu, Shiyun Chen, Yong Zhang, Lamei Li, Steve Atkinson, Jianhe Sun, Yaxian Yan, Jianping Jiang, Adrie J. C. Steyn and Bridgette M. Cumming. Their work appears in journals such as PLoS ONE, Microbiology, Molecular Microbiology, FEBS Letters and Journal of Bacteriology.
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.