Runsheng Ma

424 citations
20 papers · 300 · h-index 11

Impact in

Papers in

    • RNA modifications and cancer 4
    • Circular RNAs in diseases 3
    • Natural product bioactivities and synthesis 2
    • Cancer-related molecular mechanisms research 3
    • Cancer, Hypoxia, and Metabolism 3
    • MicroRNA in disease regulation 2
    • Cancer, Lipids, and Metabolism 2

Runsheng Ma

20 papers receiving 298 citations

Peers

Runsheng Ma
Comparison fields: 5 of 69
  • Cancer Research 96
  • Endocrinology, Diabetes and Metabolism 81
  • Molecular Biology 186
  • Oncology 49
  • Immunology 33
Replace Stella‐Rita Ibeawuchi with:
Stella‐Rita Ibeawuchi United States
Xunzhe Yin China
May Brundert Germany
Wilissa D’Souza Australia
Hanqing Guo China
E. Mingarelli Italy
Wenbin Jiang China
Daniela Santos‐Silva Portugal
Kelly D. Pyles United States
Ling Zhou China
Runsheng Ma relative to Stella‐Rita Ibeawuchi United States Stella‐Rita Ibeawuchi's profile →
Citations per field
00.5×1.5×2.3×
Stella‐Rita Ibeawuchi · 1×
Citations per year

Countries citing papers authored by Runsheng Ma

Since Specialization
Citations

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

Fields of papers citing papers by Runsheng Ma

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Runsheng 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 Runsheng Ma Line = papers co-authored together Runsheng Ma links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown
#Work
1 201870
2 202129
3 201724
4 202322
5 202121
6
Upregulation of the long non-coding RNA FOXD2-AS1 is correlated with tumor progression and metastasis in papillary thyroid cancer.
201921
7 201820
8 202119
9 202018
10 202116
11 202113
12 20228
13 20255
14 20233
15 20243
16 20222
17 20252
18 20212
19 20221
20 20191

About Runsheng Ma

Runsheng Ma is a scholar working on Molecular Biology, Cancer Research, Oncology, Endocrinology, Diabetes and Metabolism and Nephrology, having authored 20 papers that have together received 300 indexed citations. Recurring topics across this work include RNA modifications and cancer (4 papers), Thyroid Cancer Diagnosis and Treatment (4 papers), Cancer-related molecular mechanisms research (3 papers), Circular RNAs in diseases (3 papers), Cancer, Hypoxia, and Metabolism (3 papers), MicroRNA in disease regulation (2 papers), Natural product bioactivities and synthesis (2 papers) and Cancer, Lipids, and Metabolism (2 papers). The work is most often cited by research in Cancer Research (96 citations), Endocrinology, Diabetes and Metabolism (81 citations), Molecular Biology (186 citations), Oncology (49 citations) and Immunology (33 citations). Runsheng Ma has collaborated with scholars based in China and Australia. Frequent co-authors include Hongqiang Li, Detao Yin, Mengyuan Lei, Jing Xie, Kun Yu, Zhen Liu, Yongfei Wang, Lele Zhang, Tianshun Wang and Zunshui Cheng. Their work appears in journals such as Frontiers in Oncology, Inflammopharmacology, iScience, International Journal of Surgery and Molecular Carcinogenesis.

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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