Lin Ma
Impact in
- Cancer Research top 10%
- MicroRNA in disease regulation
- Cancer-related molecular mechanisms research
- Developmental Neuroscience top 5%
Papers in
-
- Pluripotent Stem Cells Research 9
- CRISPR and Genetic Engineering 6
- RNA Research and Splicing 5
- RNA modifications and cancer 5
- Advanced biosensing and bioanalysis techniques 5
-
- Cancer-related molecular mechanisms research 11
- MicroRNA in disease regulation 9
- Co-authors
- Hiroshi Ueda (5 shared papers)Jerold Chun (3 shared papers)Junken Aoki (3 shared papers)Makoto Inoue (3 shared papers)Hitoshi Uchida (2 shared papers)Chun Fang (5 shared papers)Jichong Xu (5 shared papers)Jun Nagai (2 shared papers)
- Journals
- Stem Cell Reports (4 papers)Molecular Pain (3 papers)iScience (3 papers)Biological Trace Element Research (2 papers)Spectrochimica Acta Part A Molecular and Biomolecular Spectroscopy (2 papers)
- Partner nations
- ChinaUnited StatesJapan
In The Last Decade
Lin Ma
78 papers receiving 1.7k citations
Peers
Comparison fields: 5 of 119
- Cancer Research 305
- Developmental Neuroscience 82
- Molecular Biology 1.2k
- Pharmacology 84
- Neurology 69
Countries citing papers authored by Lin Ma
This map shows the geographic impact of Lin 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 Lin Ma with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Lin Ma more than expected).
Fields of papers citing papers by Lin Ma
This network shows the impact of papers produced by Lin 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 Lin Ma. The network helps show where Lin Ma may publish in the future.
Co-authors
The 25 scholars most cited alongside Lin 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 84 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2008 | 88 | |
| 2 | 2004 | 85 | |
| 3 | 2009 | 82 | |
| 4 | 2019 | 80 | |
| 5 | 2014 | 68 | |
| 6 | 2014 | 63 | |
| 7 | 2009 | 62 | |
| 8 | 2013 | 50 | |
| 9 | 2018 | 45 | |
| 10 | 2020 | 45 | |
| 11 | 2009 | 44 | |
| 12 | 2010 | 43 | |
| 13 | 2017 | 40 | |
| 14 | 2014 | 40 | |
| 15 | 2019 | 40 | |
| 16 | 2019 | 39 | |
| 17 | 2008 | 38 | |
| 18 | 2007 | 36 | |
| 19 | 2022 | 36 | |
| 20 | 2018 | 32 |
About Lin Ma
Lin Ma is a scholar working on Molecular Biology, Cancer Research, Immunology, Cell Biology and Physiology, having authored 84 papers that have together received 1.8k indexed citations. Recurring topics across this work include Cancer-related molecular mechanisms research (11 papers), MicroRNA in disease regulation (9 papers), Pluripotent Stem Cells Research (9 papers), CRISPR and Genetic Engineering (6 papers), RNA Research and Splicing (5 papers), Pain Mechanisms and Treatments (5 papers), RNA modifications and cancer (5 papers) and Advanced biosensing and bioanalysis techniques (5 papers). The work is most often cited by research in Cancer Research (305 citations), Developmental Neuroscience (82 citations), Molecular Biology (1.2k citations), Pharmacology (84 citations) and Neurology (69 citations). Lin Ma has collaborated with scholars based in China, United States and Japan. Frequent co-authors include Hiroshi Ueda, Jerold Chun, Junken Aoki, Makoto Inoue, Hitoshi Uchida, Chun Fang, Jichong Xu, Jun Nagai, Keita Sasaki and Wu Yin. Their work appears in journals such as Stem Cell Reports, Molecular Pain, iScience, Biological Trace Element Research and Spectrochimica Acta Part A Molecular and Biomolecular Spectroscopy.
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.