Mulin Jun Li
Impact in
- Genetics top 2%
- Genetic Associations and Epidemiology
- Genomics and Rare Diseases
- Cancer Research top 5%
- Cancer-related molecular mechanisms research
Papers in
-
- Bioinformatics and Genomic Networks 16
- Genomics and Chromatin Dynamics 16
- Epigenetics and DNA Methylation 10
- RNA modifications and cancer 10
- Gene expression and cancer classification 6
- Genetics 30
- Genetic Associations and Epidemiology 21
- Genomics and Rare Diseases 7
- Co-authors
- Junwen Wang (25 shared papers)Pak C. Sham (26 shared papers)Matthew R. Nelson (2 shared papers)Philippe Sanséau (1 shared paper)Yufeng Shen (1 shared paper)Lon R. Cardon (1 shared paper)Paola Nicoletti (1 shared paper)John C. Whittaker (1 shared paper)
- Journals
- Nucleic Acids Research (22 papers)Bioinformatics (5 papers)iScience (4 papers)Science Advances (2 papers)Genome biology (2 papers)
- Partner nations
- ChinaHong KongUnited States
In The Last Decade
Mulin Jun Li
77 papers receiving 3.0k citations
Mulin Jun Li's Hit Papers
Peers
Comparison fields: 5 of 159
- Genetics 886
- Cancer Research 346
- Molecular Biology 1.6k
- Immunology 207
- Biological Psychiatry 22
Countries citing papers authored by Mulin Jun Li
This map shows the geographic impact of Mulin Jun 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 Mulin Jun Li with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Mulin Jun Li more than expected).
Fields of papers citing papers by Mulin Jun Li
This network shows the impact of papers produced by Mulin Jun 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 Mulin Jun Li. The network helps show where Mulin Jun Li may publish in the future.
Co-authors
The 25 scholars most cited alongside Mulin Jun 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 80 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | The support of human genetic evidence for approved drug indications Hit paper breakdown → | 2015 | 967 |
| 2 | webTWAS: a resource for disease candidate susceptibility genes identified by transcriptome-wide association study Hit paper breakdown → | 2021 | 321 |
| 3 | 2011 | 160 | |
| 4 | 2015 | 141 | |
| 5 | 2021 | 98 | |
| 6 | 2019 | 87 | |
| 7 | 2013 | 83 | |
| 8 | 2018 | 66 | |
| 9 | 2017 | 58 | |
| 10 | 2019 | 55 | |
| 11 | 2019 | 52 | |
| 12 | 2011 | 52 | |
| 13 | 2018 | 46 | |
| 14 | 2020 | 39 | |
| 15 | 2017 | 39 | |
| 16 | 2021 | 37 | |
| 17 | 2019 | 37 | |
| 18 | 2012 | 37 | |
| 19 | 2016 | 37 | |
| 20 | 2017 | 37 |
About Mulin Jun Li
Mulin Jun Li is a scholar working on Molecular Biology, Genetics, Cancer Research, Computational Theory and Mathematics and Oncology, having authored 80 papers that have together received 3.1k indexed citations. Recurring topics across this work include Genetic Associations and Epidemiology (21 papers), Bioinformatics and Genomic Networks (16 papers), Genomics and Chromatin Dynamics (16 papers), Epigenetics and DNA Methylation (10 papers), RNA modifications and cancer (10 papers), Computational Drug Discovery Methods (7 papers), Genomics and Rare Diseases (7 papers) and Gene expression and cancer classification (6 papers). The work is most often cited by research in Genetics (886 citations), Cancer Research (346 citations), Molecular Biology (1.6k citations), Immunology (207 citations) and Biological Psychiatry (22 citations). Mulin Jun Li has collaborated with scholars based in China, Hong Kong and United States. Frequent co-authors include Junwen Wang, Pak C. Sham, Matthew R. Nelson, Philippe Sanséau, Yufeng Shen, Lon R. Cardon, Paola Nicoletti, John C. Whittaker, Aris Floratos and Jeffery L. Painter. Their work appears in journals such as Nucleic Acids Research, Bioinformatics, iScience, Science Advances and Genome biology.
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.