Mingfa Li
Impact in
- Molecular Biology top 10%
- Wnt/β-catenin signaling in development and cancer
- Cancer-related gene regulation
- Kruppel-like factors research
- Epigenetics and DNA Methylation
- Developmental Biology and Gene Regulation
- Bone Metabolism and Diseases
- Cell Biology top 10%
- Hippo pathway signaling and YAP/TAZ
Papers in
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- Hippo pathway signaling and YAP/TAZ 4
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- Developmental Biology and Gene Regulation 6
- RNA Research and Splicing 3
- Cancer-related gene regulation 2
- Epigenetics and DNA Methylation 2
- RNA modifications and cancer 2
- Wnt/β-catenin signaling in development and cancer 2
- Co-authors
- Bernard M. Mechler (3 shared papers)Joachim Marhold (2 shared papers)Peter Stannek (1 shared paper)Gary R. Davidson (1 shared paper)Hajo Delius (1 shared paper)Andrei Glinka (1 shared paper)Christof Niehrs (1 shared paper)Wei Wu (1 shared paper)
In The Last Decade
Mingfa Li
19 papers receiving 1.3k citations
Mingfa Li's Hit Papers
Peers
Comparison fields: 5 of 102
- Molecular Biology 1.0k
- Cell Biology 149
- Aging 15
- Genetics 197
- Oncology 151
Countries citing papers authored by Mingfa Li
This map shows the geographic impact of Mingfa 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 Mingfa Li with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Mingfa Li more than expected).
Fields of papers citing papers by Mingfa Li
This network shows the impact of papers produced by Mingfa 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 Mingfa Li. The network helps show where Mingfa Li may publish in the future.
Co-authors
The 25 scholars most cited alongside Mingfa 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
| # | Work | ||
|---|---|---|---|
| 1 | Kremen proteins are Dickkopf receptors that regulate Wnt/β-catenin signalling Hit paper breakdown → | 2002 | 895 |
| 2 | 2009 | 77 | |
| 3 | 2009 | 65 | |
| 4 | 2005 | 45 | |
| 5 | 2013 | 37 | |
| 6 | 2018 | 33 | |
| 7 | 2018 | 32 | |
| 8 | 2016 | 30 | |
| 9 | 2010 | 25 | |
| 10 | 2013 | 25 | |
| 11 | 2008 | 23 | |
| 12 | 2014 | 19 | |
| 13 | 2009 | 16 | |
| 14 | 2016 | 12 | |
| 15 | 2004 | 10 | |
| 16 | 2011 | 10 | |
| 17 | 2003 | 7 | |
| 18 | 2009 | 5 | |
| 19 | 2006 | 2 | |
| 20 | 1997 | 0 |
About Mingfa Li
Mingfa Li is a scholar working on Cell Biology, Molecular Biology, Immunology, Cancer Research and Microbiology, having authored 20 papers that have together received 1.4k indexed citations. Recurring topics across this work include Developmental Biology and Gene Regulation (6 papers), Hippo pathway signaling and YAP/TAZ (4 papers), Invertebrate Immune Response Mechanisms (3 papers), RNA Research and Splicing (3 papers), Cancer-related gene regulation (2 papers), Epigenetics and DNA Methylation (2 papers), RNA modifications and cancer (2 papers) and Wnt/β-catenin signaling in development and cancer (2 papers). The work is most often cited by research in Molecular Biology (1.0k citations), Cell Biology (149 citations), Aging (15 citations), Genetics (197 citations) and Oncology (151 citations). Mingfa Li has collaborated with scholars based in China, Germany and India. Frequent co-authors include Bernard M. Mechler, Joachim Marhold, Peter Stannek, Gary R. Davidson, Hajo Delius, Andrei Glinka, Christof Niehrs, Wei Wu, Bingyu Mao and Tianchi Xin. Their work appears in journals such as Developmental Biology, Cell Research, BMC Genomics, Nature and DNA Research.
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.