Shaolin Ma

754 citations
33 papers · 382 · h-index 11

Impact in

    • Drug Transport and Resistance Mechanisms
    • MicroRNA in disease regulation
    • Cancer-related molecular mechanisms research

Papers in

Shaolin Ma

30 papers receiving 377 citations

Peers

Shaolin Ma
Comparison fields: 5 of 68
  • Oncology 123
  • Cancer Research 65
  • Molecular Biology 180
  • Reproductive Medicine 16
  • Immunology 38
Replace Srilakshmi Srinivasan with:
Srilakshmi Srinivasan Australia
Kakil Ibrahim Rasul Qatar
Jia-Rong Huang China
Brittney S. Harrington Australia
Di-Wei Zheng China
Chun Chen China
Ryo Sato Japan
Xinlian Chen China
Shixin Xiang China
Shaolin Ma relative to Srilakshmi Srinivasan Australia Srilakshmi Srinivasan's profile →
Citations per field
00.5×1.5×
Srilakshmi Srinivasan · 1×
Citations per year

Countries citing papers authored by Shaolin Ma

Since Specialization
Citations

This map shows the geographic impact of Shaolin 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 Shaolin Ma with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Shaolin Ma more than expected).

Fields of papers citing papers by Shaolin Ma

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Shaolin 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 Shaolin Ma. The network helps show where Shaolin Ma may publish in the future.

Co-authors

The 25 scholars most cited alongside Shaolin Ma, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Shaolin Ma Line = papers co-authored together Shaolin Ma links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 33 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201449
2 201945
3 201740
4 201440
5 202134
6 201915
7 202015
8 201515
9 202414
10 202112
11 201512
12 201810
13 201810
14
Impact of mitochondrial transcription factor A expression on the outcomes of ovarian, endometrial and cervical cancers.
202010
15 201510
16 20148
17 20167
18 20207
19 20224
20 20154

About Shaolin Ma

Shaolin Ma is a scholar working on Molecular Biology, Pulmonary and Respiratory Medicine, Cancer Research, Oncology and Pharmacology, having authored 33 papers that have together received 382 indexed citations. Recurring topics across this work include Drug Transport and Resistance Mechanisms (3 papers), MicroRNA in disease regulation (3 papers), Respiratory Support and Mechanisms (2 papers), Synthesis of Organic Compounds (2 papers), Extracellular vesicles in disease (2 papers), Prostate Cancer Treatment and Research (2 papers), Cancer, Hypoxia, and Metabolism (2 papers) and Ubiquitin and proteasome pathways (1 paper). The work is most often cited by research in Oncology (123 citations), Cancer Research (65 citations), Molecular Biology (180 citations), Reproductive Medicine (16 citations) and Immunology (38 citations). Shaolin Ma has collaborated with scholars based in China, United States and Hong Kong. Frequent co-authors include Liwu Fu, Cristina Ivan, Gabriel Lopez‐Berestein, Anil K. Sood, Lingegowda S. Mangala, Fang Wang, Cristian Rodriguez‐Aguayo, Zhe‐Sheng Chen, Yi‐Fan Chen and Robert L. Coleman. Their work appears in journals such as Molecular Cancer Therapeutics, Oncotarget, Oncogene, Brazilian Journal of Medical and Biological Research and BMC Nephrology.

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.

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