Shaolin Ma

735 citations
32 papers · 363 · h-index 11

Impact in

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

Papers in

Shaolin Ma

29 papers receiving 358 citations

Peers

Shaolin Ma
Comparison fields: 5 of 69
  • Cancer Research 75
  • Oncology 123
  • Molecular Biology 199
  • Reproductive Medicine 20
  • Immunology 42
Replace Yolla Haibe with:
Yolla Haibe Lebanon
Anxin Gu China
Lei Lou China
Di-Wei Zheng China
Yu Dai China
Qingxiang Gao China
Brittney S. Harrington United States
V. R. Rozados Argentina
Srilakshmi Srinivasan Australia
Duygu Derin Türkiye
Shaolin Ma relative to Yolla Haibe Lebanon Yolla Haibe's profile →
Citations per field
00.5×2.6×
Yolla Haibe · 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 32 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201445
2 201944
3 201740
4 201438
5 202133
6 202015
7 201515
8 201913
9 202112
10 202411
11 201511
12 201810
13 201510
14
Impact of mitochondrial transcription factor A expression on the outcomes of ovarian, endometrial and cervical cancers.
202010
15 20189
16 20148
17 20207
18 20166
19 20194
20 20154

About Shaolin Ma

Shaolin Ma is a scholar working on Molecular Biology, Pulmonary and Respiratory Medicine, Cancer Research, Epidemiology and Oncology, having authored 32 papers that have together received 363 indexed citations. Recurring topics across this work include MicroRNA in disease regulation (4 papers), Drug Transport and Resistance Mechanisms (4 papers), Respiratory Support and Mechanisms (3 papers), Sepsis Diagnosis and Treatment (3 papers), Pulmonary Hypertension Research and Treatments (2 papers), Prostate Cancer Treatment and Research (2 papers), RNA modifications and cancer (2 papers) and Dermatologic Treatments and Research (2 papers). The work is most often cited by research in Cancer Research (75 citations), Oncology (123 citations), Molecular Biology (199 citations), Reproductive Medicine (20 citations) and Immunology (42 citations). Shaolin Ma has collaborated with scholars based in China, United States and Hong Kong. Frequent co-authors include Liwu Fu, Cristina Ivan, Anil K. Sood, Gabriel Lopez‐Berestein, Cristian Rodriguez‐Aguayo, Lingegowda S. Mangala, Fang Wang, Emine Bayraktar, Robert L. Coleman and Sherry Y. Wu. Their work appears in journals such as Molecular Cancer Therapeutics, Oncotarget, Oncogene, iScience and Brazilian Journal of Medical and Biological 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.

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