Jin Ma

1.3k citations
44 papers · 874 · h-index 18

Impact in

    • Renal Transplantation Outcomes and Treatments
    • Cancer-related molecular mechanisms research
    • MicroRNA in disease regulation

Papers in

Jin Ma

41 papers receiving 868 citations

Peers

Jin Ma
Comparison fields: 5 of 103
  • Transplantation 39
  • Cancer Research 184
  • Critical Care and Intensive Care Medicine 26
  • Molecular Biology 323
  • Finance 44
Replace Maria Grazia Piccioni with:
Maria Grazia Piccioni Italy
Serap Aksoylar Türkiye
Daniëlle Meijer Netherlands
Maryam Motamedi Iran
Dana Dlouhá Czechia
Bryce E. Haac United States
Jeffrey A. SoRelle United States
Jennifer García United States
Anh Do United States
Marcelo José dos Santos Brazil
Jin Ma relative to Maria Grazia Piccioni Italy Maria Grazia Piccioni's profile →
Citations per field
00.5×10×15×22×
Maria Grazia Piccioni · 1×
Citations per year

Countries citing papers authored by Jin Ma

Since Specialization
Citations

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

Fields of papers citing papers by Jin Ma

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 44 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2013112
2 200794
3 201861
4 202044
5 201842
6
MicroRNA-183 inhibits apoptosis and promotes proliferation and invasion of gastric cancer cells by targeting PDCD4.
201434
7 201534
8 201133
9 201932
10 201829
11 202129
12 201525
13 201825
14 201724
15 202122
16 202221
17 202121
18 202120
19 202017
20 202116

About Jin Ma

Jin Ma is a scholar working on Surgery, Molecular Biology, Epidemiology, Cancer Research and Pulmonary and Respiratory Medicine, having authored 44 papers that have together received 874 indexed citations. Recurring topics across this work include Transplantation: Methods and Outcomes (16 papers), MicroRNA in disease regulation (6 papers), Interstitial Lung Diseases and Idiopathic Pulmonary Fibrosis (5 papers), Cancer-related molecular mechanisms research (5 papers), Circular RNAs in diseases (3 papers), Reproductive System and Pregnancy (3 papers), Cytomegalovirus and herpesvirus research (3 papers) and Renal Transplantation Outcomes and Treatments (2 papers). The work is most often cited by research in Transplantation (39 citations), Cancer Research (184 citations), Critical Care and Intensive Care Medicine (26 citations), Molecular Biology (323 citations) and Finance (44 citations). Jin Ma has collaborated with scholars based in Canada, China and United States. Frequent co-authors include Henk Bekedam, Sarah Barber, Michael J. Borowitz, Yuanchi Weng, Jiancheng Wang, Bin Yang, Jialing Huang, Xiu‐Qing Li, Jun Zhang and Ying Sun. Their work appears in journals such as The Journal of Heart and Lung Transplantation, American Journal of Transplantation, European Respiratory Journal, BioMed Research International and Journal of Thoracic and Cardiovascular Surgery.

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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