Lei Ma
Impact in
- Cancer Research top 1%
- Cancer-related molecular mechanisms research
- MicroRNA in disease regulation
- Insect Science top 1%
- Insect and Pesticide Research
Papers in
-
- Insect Resistance and Genetics 21
- Circular RNAs in diseases 10
- RNA modifications and cancer 9
- Co-authors
- Changliang Zhu (38 shared papers)Yan Sun (35 shared papers)Ning Liu (2 shared papers)Chunni Fan (2 shared papers)Xubin Deng (7 shared papers)Chuan Jin (5 shared papers)Gong Zhang (6 shared papers)Bo Shen (16 shared papers)
- Journals
- PLoS ONE (7 papers)Parasitology Research (7 papers)Scientific Reports (6 papers)Parasites & Vectors (5 papers)BMC Genomics (4 papers)
- Partner nations
- ChinaUnited StatesAustralia
In The Last Decade
Lei Ma
168 papers receiving 3.7k citations
Peers
Comparison fields: 5 of 152
- Cancer Research 977
- Insect Science 486
- Molecular Biology 2.1k
- Plant Science 539
- Aquatic Science 99
Countries citing papers authored by Lei Ma
This map shows the geographic impact of Lei 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 Lei Ma with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Lei Ma more than expected).
Fields of papers citing papers by Lei Ma
This network shows the impact of papers produced by Lei 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 Lei Ma. The network helps show where Lei Ma may publish in the future.
Co-authors
The 25 scholars most cited alongside Lei 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 177 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2018 | 199 | |
| 2 | 2015 | 107 | |
| 3 | 2016 | 97 | |
| 4 | 2016 | 96 | |
| 5 | 2015 | 95 | |
| 6 | 2016 | 92 | |
| 7 | 2015 | 89 | |
| 8 | 2013 | 84 | |
| 9 | 2002 | 80 | |
| 10 | 2010 | 79 | |
| 11 | 2015 | 74 | |
| 12 | Decreased expression of miR-204 is associated with poor prognosis in patients with breast cancer. | 2014 | 68 |
| 13 | 2005 | 67 | |
| 14 | 2014 | 66 | |
| 15 | 2022 | 66 | |
| 16 | 2014 | 66 | |
| 17 | 2022 | 65 | |
| 18 | 2003 | 61 | |
| 19 | 2003 | 61 | |
| 20 | 2015 | 54 |
About Lei Ma
Lei Ma is a scholar working on Molecular Biology, Plant Science, Cancer Research, Insect Science and Public Health, Environmental and Occupational Health, having authored 177 papers that have together received 3.8k indexed citations. Recurring topics across this work include Insect Resistance and Genetics (21 papers), Mosquito-borne diseases and control (16 papers), MicroRNA in disease regulation (14 papers), Cancer-related molecular mechanisms research (13 papers), Circular RNAs in diseases (10 papers), Biofuel production and bioconversion (10 papers), RNA modifications and cancer (9 papers) and Insect and Pesticide Research (8 papers). The work is most often cited by research in Cancer Research (977 citations), Insect Science (486 citations), Molecular Biology (2.1k citations), Plant Science (539 citations) and Aquatic Science (99 citations). Lei Ma has collaborated with scholars based in China, United States and Australia. Frequent co-authors include Changliang Zhu, Yan Sun, Ning Liu, Chunni Fan, Xubin Deng, Chuan Jin, Gong Zhang, Bo Shen, Dayun Zhou and Meng Kuang. Their work appears in journals such as PLoS ONE, Parasitology Research, Scientific Reports, Parasites & Vectors and BMC Genomics.
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.