Jin Ma

41 papers receiving 831 citations

Peers

Jin Ma
Comparison fields: 5 of 107
  • Transplantation 44
  • Cancer Research 214
  • Finance 66
  • Critical Care and Intensive Care Medicine 33
  • Molecular Biology 357
Replace Sarah Mitchell with:
Sarah Mitchell United States
Daniëlle Meijer Netherlands
Patravoot Vatanasapt Thailand
Junfeng Chen China
Maryam Motamedi Iran
Weiying Chen China
Marcelo José dos Santos Brazil
Jennifer García United States
Maria Grazia Piccioni Italy
Pratibha Singh India
Jin Ma relative to Sarah Mitchell United States Sarah Mitchell's profile →
Citations per field
00.5×10×16.5×
Sarah Mitchell · 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 43 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2013108
2 200794
3 201861
4 201841
5 202038
6
MicroRNA-183 inhibits apoptosis and promotes proliferation and invasion of gastric cancer cells by targeting PDCD4.
201434
7 201534
8 201133
9 201931
10 202129
11 201829
12 201525
13 201825
14 201723
15 202121
16 202221
17 202119
18 202117
19 202016
20 202116

About Jin Ma

Jin Ma is a scholar working on Surgery, Molecular Biology, Pulmonary and Respiratory Medicine, Epidemiology and Oncology, having authored 43 papers that have together received 837 indexed citations. Recurring topics across this work include Transplantation: Methods and Outcomes (15 papers), Interstitial Lung Diseases and Idiopathic Pulmonary Fibrosis (9 papers), MicroRNA in disease regulation (6 papers), Cancer-related molecular mechanisms research (5 papers), Circular RNAs in diseases (4 papers), Polyomavirus and related diseases (4 papers), Reproductive System and Pregnancy (4 papers) and Respiratory viral infections research (3 papers). The work is most often cited by research in Transplantation (44 citations), Cancer Research (214 citations), Finance (66 citations), Critical Care and Intensive Care Medicine (33 citations) and Molecular Biology (357 citations). Jin Ma has collaborated with scholars based in Canada, China and United States. Frequent co-authors include Henk Bekedam, Michael J. Borowitz, Sarah Barber, Yuanchi Weng, Jiancheng Wang, Xiu‐Qing Li, Bin Yang, Jialing Huang, Jun Zhang and Tian Gao. Their work appears in journals such as American Journal of Transplantation, The Journal of Heart and Lung Transplantation, European Respiratory Journal, Journal of Thoracic and Cardiovascular Surgery and BioMed Research International.

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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