Lei Quan
Impact in
- Biotechnology top 5%
- Microbial Metabolism and Applications
- Pharmacology top 10%
- Phytochemistry and Bioactivity Studies
- Fungal Biology and Applications
- Microbial Natural Products and Biosynthesis
Papers in
-
- Immune Cell Function and Interaction 3
- IL-33, ST2, and ILC Pathways 2
- Reproductive System and Pregnancy 2
- Immunotherapy and Immune Responses 2
- Co-authors
- Kan Shi (2 shared papers)Da Song (2 shared papers)Gong Chen (2 shared papers)Zhenqiang Wu (2 shared papers)Marco Pistolozzi (1 shared paper)Song Yao (6 shared papers)Christine B. Ambrosone (6 shared papers)Zhihong Gong (5 shared papers)
- Journals
- PLoS ONE (3 papers)Cancer Immunology Immunotherapy (2 papers)International Journal of Cancer (2 papers)Immunogenetics (1 paper)Journal of Advanced Nursing (1 paper)
- Partner nations
- United StatesChinaNetherlands
In The Last Decade
Lei Quan
23 papers receiving 556 citations
Peers
Comparison fields: 5 of 86
- Biotechnology 144
- Pharmacology 78
- Oncology 181
- Pharmacology 91
- Cancer Research 65
Countries citing papers authored by Lei Quan
This map shows the geographic impact of Lei Quan'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 Quan with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Lei Quan more than expected).
Fields of papers citing papers by Lei Quan
This network shows the impact of papers produced by Lei Quan. 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 Quan. The network helps show where Lei Quan may publish in the future.
Co-authors
The 25 scholars most cited alongside Lei Quan, 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 23 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2015 | 98 | |
| 2 | 2016 | 92 | |
| 3 | 2005 | 63 | |
| 4 | 2013 | 51 | |
| 5 | 2013 | 51 | |
| 6 | 2015 | 50 | |
| 7 | 2013 | 30 | |
| 8 | 2009 | 24 | |
| 9 | 2011 | 19 | |
| 10 | 2014 | 15 | |
| 11 | 2006 | 13 | |
| 12 | 2011 | 12 | |
| 13 | 2016 | 10 | |
| 14 | 2009 | 9 | |
| 15 | 2011 | 7 | |
| 16 | 2016 | 7 | |
| 17 | 2007 | 4 | |
| 18 | 2011 | 4 | |
| 19 | 2014 | 3 | |
| 20 | 2009 | 1 |
About Lei Quan
Lei Quan is a scholar working on Immunology, Molecular Biology, Oncology, Genetics and Pharmacology, having authored 23 papers that have together received 566 indexed citations. Recurring topics across this work include Estrogen and related hormone effects (4 papers), Immune Cell Function and Interaction (3 papers), Cytokine Signaling Pathways and Interactions (2 papers), Microbial Metabolism and Applications (2 papers), Cancer-related molecular mechanisms research (2 papers), IL-33, ST2, and ILC Pathways (2 papers), Reproductive System and Pregnancy (2 papers) and Immunotherapy and Immune Responses (2 papers). The work is most often cited by research in Biotechnology (144 citations), Pharmacology (78 citations), Oncology (181 citations), Pharmacology (91 citations) and Cancer Research (65 citations). Lei Quan has collaborated with scholars based in United States, China and Netherlands. Frequent co-authors include Kan Shi, Da Song, Gong Chen, Zhenqiang Wu, Marco Pistolozzi, Song Yao, Christine B. Ambrosone, Zhihong Gong, Jian‐Min Yuan and Chi‐Chen Hong. Their work appears in journals such as PLoS ONE, Cancer Immunology Immunotherapy, International Journal of Cancer, Immunogenetics and Journal of Advanced Nursing.
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.