Xiaolei Pan
Impact in
- Molecular Medicine top 1%
- Antibiotic Resistance in Bacteria
- Endocrinology top 5%
- Vibrio bacteria research studies
Papers in
-
- Bacterial biofilms and quorum sensing 28
- CRISPR and Genetic Engineering 3
-
- Antibiotic Resistance in Bacteria 32
- Co-authors
- Weihui Wu (40 shared papers)Zhihui Cheng (39 shared papers)Yongxin Jin (39 shared papers)Fang Bai (31 shared papers)Aviv Hassid (2 shared papers)Claire M. Brown (1 shared paper)Shouguang Jin (16 shared papers)Dong Zhang (3 shared papers)
- Journals
- Microbiology Spectrum (8 papers)Frontiers in Microbiology (7 papers)mBio (4 papers)Nucleic Acids Research (3 papers)Antimicrobial Agents and Chemotherapy (3 papers)
- Partner nations
- ChinaUnited StatesSouth Korea
In The Last Decade
Xiaolei Pan
54 papers receiving 1.0k citations
Peers
Comparison fields: 5 of 103
- Molecular Medicine 307
- Endocrinology 131
- Molecular Biology 686
- Microbiology 61
- Applied Microbiology and Biotechnology 19
Countries citing papers authored by Xiaolei Pan
This map shows the geographic impact of Xiaolei Pan'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 Xiaolei Pan with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Xiaolei Pan more than expected).
Fields of papers citing papers by Xiaolei Pan
This network shows the impact of papers produced by Xiaolei Pan. 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 Xiaolei Pan. The network helps show where Xiaolei Pan may publish in the future.
Co-authors
The 25 scholars most cited alongside Xiaolei Pan, 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 56 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2017 | 107 | |
| 2 | 2019 | 92 | |
| 3 | 1999 | 80 | |
| 4 | 2014 | 62 | |
| 5 | 2016 | 52 | |
| 6 | 2016 | 39 | |
| 7 | 2016 | 33 | |
| 8 | 2021 | 30 | |
| 9 | 2001 | 30 | |
| 10 | 2020 | 27 | |
| 11 | 2020 | 26 | |
| 12 | 2010 | 25 | |
| 13 | 2017 | 25 | |
| 14 | 2018 | 20 | |
| 15 | 2021 | 20 | |
| 16 | 2000 | 19 | |
| 17 | 2016 | 19 | |
| 18 | 2022 | 19 | |
| 19 | 2020 | 19 | |
| 20 | 2021 | 18 |
About Xiaolei Pan
Xiaolei Pan is a scholar working on Molecular Biology, Molecular Medicine, Genetics, Endocrinology and Infectious Diseases, having authored 56 papers that have together received 1.0k indexed citations. Recurring topics across this work include Antibiotic Resistance in Bacteria (32 papers), Bacterial biofilms and quorum sensing (28 papers), Bacterial Genetics and Biotechnology (21 papers), Vibrio bacteria research studies (16 papers), Antimicrobial Peptides and Activities (4 papers), Bacteriophages and microbial interactions (3 papers), Antibiotics Pharmacokinetics and Efficacy (3 papers) and CRISPR and Genetic Engineering (3 papers). The work is most often cited by research in Molecular Medicine (307 citations), Endocrinology (131 citations), Molecular Biology (686 citations), Microbiology (61 citations) and Applied Microbiology and Biotechnology (19 citations). Xiaolei Pan has collaborated with scholars based in China, United States and South Korea. Frequent co-authors include Weihui Wu, Zhihui Cheng, Yongxin Jin, Fang Bai, Aviv Hassid, Claire M. Brown, Shouguang Jin, Dong Zhang, Chang Liu and Jing‐Ren Zhang. Their work appears in journals such as Microbiology Spectrum, Frontiers in Microbiology, mBio, Nucleic Acids Research and Antimicrobial Agents and Chemotherapy.
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.