Willis X. Li
Impact in
- Aging top 1%
- Immunology top 5%
- Immune Cell Function and Interaction
- Invertebrate Immune Response Mechanisms
Papers in
-
- Genomics and Chromatin Dynamics 11
- Developmental Biology and Gene Regulation 9
- Epigenetics and DNA Methylation 6
- RNA Research and Splicing 5
- Oncology 18
- Cytokine Signaling Pathways and Interactions 15
- Co-authors
- Jinghong Li (28 shared papers)Amy Tsurumi (10 shared papers)Daniel Kalderon (3 shared papers)Norbert Perrimon (7 shared papers)Pranabananda Dutta (12 shared papers)Mary Ellen Lane (1 shared paper)Xia Fan (6 shared papers)Song Shi (4 shared papers)
- Journals
- Genetics (4 papers)Development (4 papers)Developmental Dynamics (4 papers)PLoS Genetics (4 papers)Scientific Reports (4 papers)
- Partner nations
- United StatesChinaTaiwan
In The Last Decade
Willis X. Li
69 papers receiving 3.2k citations
Peers
Comparison fields: 5 of 128
- Aging 168
- Immunology 680
- Transplantation 63
- Molecular Biology 1.7k
- Oncology 509
Countries citing papers authored by Willis X. Li
This map shows the geographic impact of Willis X. Li'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 Willis X. Li with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Willis X. Li more than expected).
Fields of papers citing papers by Willis X. Li
This network shows the impact of papers produced by Willis X. Li. 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 Willis X. Li. The network helps show where Willis X. Li may publish in the future.
Co-authors
The 25 scholars most cited alongside Willis X. Li, 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 70 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 1995 | 283 | |
| 2 | 1997 | 261 | |
| 3 | 2008 | 226 | |
| 4 | 2012 | 206 | |
| 5 | 1997 | 174 | |
| 6 | 2012 | 156 | |
| 7 | 2006 | 142 | |
| 8 | 1997 | 107 | |
| 9 | 2008 | 106 | |
| 10 | 2015 | 105 | |
| 11 | 2000 | 82 | |
| 12 | 2014 | 70 | |
| 13 | 1996 | 70 | |
| 14 | 2003 | 68 | |
| 15 | 2018 | 67 | |
| 16 | 2013 | 64 | |
| 17 | 2007 | 58 | |
| 18 | 1997 | 56 | |
| 19 | 2006 | 53 | |
| 20 | 2010 | 52 |
About Willis X. Li
Willis X. Li is a scholar working on Molecular Biology, Oncology, Immunology, Genetics and Pathology and Forensic Medicine, having authored 70 papers that have together received 3.2k indexed citations. Recurring topics across this work include Cytokine Signaling Pathways and Interactions (15 papers), Genomics and Chromatin Dynamics (11 papers), Invertebrate Immune Response Mechanisms (10 papers), Developmental Biology and Gene Regulation (9 papers), Epigenetics and DNA Methylation (6 papers), Cancer Mechanisms and Therapy (6 papers), RNA Research and Splicing (5 papers) and Neurobiology and Insect Physiology Research (5 papers). The work is most often cited by research in Aging (168 citations), Immunology (680 citations), Transplantation (63 citations), Molecular Biology (1.7k citations) and Oncology (509 citations). Willis X. Li has collaborated with scholars based in United States, China and Taiwan. Frequent co-authors include Jinghong Li, Amy Tsurumi, Daniel Kalderon, Norbert Perrimon, Pranabananda Dutta, Mary Ellen Lane, Xia Fan, Song Shi, Shian-Jang Yan and Kimberly Larson. Their work appears in journals such as Genetics, Development, Developmental Dynamics, PLoS Genetics and Scientific Reports.
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.