Lang Ma
Impact in
- Reproductive Medicine top 2%
- Sperm and Testicular Function
- Cancer Research top 5%
- MicroRNA in disease regulation
Papers in
-
- CRISPR and Genetic Engineering 4
- Cancer-related gene regulation 4
- RNA Research and Splicing 3
-
- Sperm and Testicular Function 5
- Ovarian cancer diagnosis and treatment 3
- Co-authors
- Martin M. Matzuk (16 shared papers)Wei Yan (7 shared papers)Kathleen H. Burns (6 shared papers)Michael P. Greenbaum (4 shared papers)Julio E. Agno (2 shared papers)Preethi H. Gunaratne (4 shared papers)Huifeng Zhu (4 shared papers)Shumei Song (11 shared papers)
- Journals
- Cancer Research (4 papers)PLoS ONE (3 papers)Molecular and Cellular Biology (2 papers)PLoS Genetics (2 papers)Proceedings of the National Academy of Sciences (2 papers)
- Partner nations
- United StatesChinaFrance
In The Last Decade
Lang Ma
33 papers receiving 2.0k citations
Peers
Comparison fields: 5 of 101
- Reproductive Medicine 360
- Cancer Research 355
- Molecular Biology 1.3k
- Cell Biology 271
- Aging 25
Countries citing papers authored by Lang Ma
This map shows the geographic impact of Lang Ma'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 Lang Ma with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Lang Ma more than expected).
Fields of papers citing papers by Lang Ma
This network shows the impact of papers produced by Lang Ma. 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 Lang Ma. The network helps show where Lang Ma may publish in the future.
Co-authors
The 25 scholars most cited alongside Lang Ma, 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 33 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2012 | 300 | |
| 2 | 2008 | 226 | |
| 3 | 2003 | 146 | |
| 4 | 2009 | 144 | |
| 5 | 2017 | 141 | |
| 6 | 2003 | 140 | |
| 7 | 2006 | 103 | |
| 8 | 2004 | 101 | |
| 9 | 2007 | 100 | |
| 10 | 2019 | 79 | |
| 11 | 2010 | 76 | |
| 12 | 2010 | 64 | |
| 13 | 2000 | 63 | |
| 14 | 2015 | 56 | |
| 15 | 2005 | 34 | |
| 16 | 2002 | 33 | |
| 17 | 2015 | 33 | |
| 18 | 2020 | 32 | |
| 19 | 2019 | 23 | |
| 20 | 2023 | 22 |
About Lang Ma
Lang Ma is a scholar working on Molecular Biology, Reproductive Medicine, Genetics, Cell Biology and Cancer Research, having authored 33 papers that have together received 2.0k indexed citations. Recurring topics across this work include Genetic and Clinical Aspects of Sex Determination and Chromosomal Abnormalities (5 papers), Sperm and Testicular Function (5 papers), CRISPR and Genetic Engineering (4 papers), Cancer-related gene regulation (4 papers), Hippo pathway signaling and YAP/TAZ (4 papers), RNA Research and Splicing (3 papers), Ovarian cancer diagnosis and treatment (3 papers) and Reproductive Biology and Fertility (3 papers). The work is most often cited by research in Reproductive Medicine (360 citations), Cancer Research (355 citations), Molecular Biology (1.3k citations), Cell Biology (271 citations) and Aging (25 citations). Lang Ma has collaborated with scholars based in United States, China and France. Frequent co-authors include Martin M. Matzuk, Wei Yan, Kathleen H. Burns, Michael P. Greenbaum, Julio E. Agno, Preethi H. Gunaratne, Huifeng Zhu, Shumei Song, Ailing W. Scott and Ankur K. Nagaraja. Their work appears in journals such as Cancer Research, PLoS ONE, Molecular and Cellular Biology, PLoS Genetics and Proceedings of the National Academy of Sciences.
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.