Ling Ma
Impact in
- Cancer Research top 5%
- MicroRNA in disease regulation
- Immunology top 10%
- interferon and immune responses
Papers in
-
- RNA regulation and disease 9
- RNA Research and Splicing 6
- RNA and protein synthesis mechanisms 6
- CRISPR and Genetic Engineering 6
- Epidemiology 10
- Co-authors
- Xiaomei Yan (9 shared papers)Lina Wu (8 shared papers)Shaobin Zhu (6 shared papers)Chaoxiang Chen (5 shared papers)Jun Cui (9 shared papers)Shouheng Jin (7 shared papers)Yaoxing Wu (7 shared papers)Ye Tian (4 shared papers)
- Journals
- ACS Nano (2 papers)RNA Biology (2 papers)Nature Communications (2 papers)Signal Transduction and Targeted Therapy (2 papers)Virus Research (2 papers)
- Partner nations
- ChinaUnited StatesDenmark
In The Last Decade
Ling Ma
49 papers receiving 1.8k citations
Ling Ma's Hit Papers
Peers
Comparison fields: 5 of 121
- Cancer Research 269
- Immunology 331
- Molecular Biology 1.1k
- Infectious Diseases 249
- Immunology and Allergy 54
Countries citing papers authored by Ling Ma
This map shows the geographic impact of Ling 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 Ling Ma with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Ling Ma more than expected).
Fields of papers citing papers by Ling Ma
This network shows the impact of papers produced by Ling 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 Ling Ma. The network helps show where Ling Ma may publish in the future.
Co-authors
The 25 scholars most cited alongside Ling 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 51 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | Protein Profiling and Sizing of Extracellular Vesicles from Colorectal Cancer Patients via Flow Cytometry Hit paper breakdown → | 2018 | 389 |
| 2 | 2014 | 178 | |
| 3 | 2018 | 176 | |
| 4 | Palmitoylation prevents sustained inflammation by limiting NLRP3 inflammasome activation through chaperone-mediated autophagy Hit paper breakdown → | 2022 | 166 |
| 5 | 2021 | 118 | |
| 6 | 2020 | 83 | |
| 7 | 2016 | 65 | |
| 8 | 2021 | 59 | |
| 9 | 2020 | 50 | |
| 10 | 2022 | 44 | |
| 11 | 2014 | 39 | |
| 12 | 2023 | 34 | |
| 13 | 2021 | 28 | |
| 14 | 2018 | 26 | |
| 15 | 2019 | 26 | |
| 16 | 2016 | 25 | |
| 17 | 2022 | 22 | |
| 18 | 2022 | 20 | |
| 19 | 2023 | 19 | |
| 20 | 2024 | 17 |
About Ling Ma
Ling Ma is a scholar working on Molecular Biology, Epidemiology, Immunology, Infectious Diseases and Ecology, having authored 51 papers that have together received 1.8k indexed citations. Recurring topics across this work include RNA regulation and disease (9 papers), interferon and immune responses (6 papers), RNA Research and Splicing (6 papers), RNA and protein synthesis mechanisms (6 papers), CRISPR and Genetic Engineering (6 papers), Bacteriophages and microbial interactions (5 papers), HIV/AIDS drug development and treatment (4 papers) and HIV Research and Treatment (4 papers). The work is most often cited by research in Cancer Research (269 citations), Immunology (331 citations), Molecular Biology (1.1k citations), Infectious Diseases (249 citations) and Immunology and Allergy (54 citations). Ling Ma has collaborated with scholars based in China, United States and Denmark. Frequent co-authors include Xiaomei Yan, Lina Wu, Shaobin Zhu, Chaoxiang Chen, Jun Cui, Shouheng Jin, Yaoxing Wu, Ye Tian, Wenqiang Zhang and Zhibin Li. Their work appears in journals such as ACS Nano, RNA Biology, Nature Communications, Signal Transduction and Targeted Therapy and Virus 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.