Chen Ma

183 papers receiving 3.3k citations

Peers

Chen Ma
Comparison fields: 5 of 151
  • Urology 140
  • Pediatrics, Perinatology and Child Health 315
  • Biochemistry 86
  • Genetics 384
  • Molecular Biology 904
Replace Raffaella Sorrentino with:
Raffaella Sorrentino Italy
Eing‐Mei Tsai Taiwan
Nadine Cohen United States
Tsutomu Inoue Japan
Yong Zhao China
Jie Gao China
Rita Paroni Italy
Cecilia Zuppi Italy
Juan Antonio Moreno Spain
Tatjana Simić Serbia
Chen Ma relative to Raffaella Sorrentino Italy Raffaella Sorrentino's profile →
Citations per field
00.5×3.8×
Raffaella Sorrentino · 1×
Citations per year

Countries citing papers authored by Chen Ma

Since Specialization
Citations

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

Fields of papers citing papers by Chen Ma

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 194 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2007179
2 2008172
3 2008158
4 2021137
5 2005122
6 201490
7 201569
8 201068
9 202062
10 201958
11 200752
12 201351
13 202345
14 201944
15 202144
16 201344
17 202242
18 202340
19 201039
20
MiR-324-5p inhibits proliferation of glioma by target regulation of GLI1.
201439

About Chen Ma

Chen Ma is a scholar working on Molecular Biology, Surgery, Genetics, Pharmacology and Spectroscopy, having authored 194 papers that have together received 3.4k indexed citations. Recurring topics across this work include Urological Disorders and Treatments (9 papers), Cleft Lip and Palate Research (9 papers), Analytical Chemistry and Chromatography (7 papers), Analytical Methods in Pharmaceuticals (7 papers), Plant-based Medicinal Research (6 papers), Antibiotics Pharmacokinetics and Efficacy (6 papers), Molecular Sensors and Ion Detection (6 papers) and Craniofacial Disorders and Treatments (6 papers). The work is most often cited by research in Urology (140 citations), Pediatrics, Perinatology and Child Health (315 citations), Biochemistry (86 citations), Genetics (384 citations) and Molecular Biology (904 citations). Chen Ma has collaborated with scholars based in China, United States and Hong Kong. Frequent co-authors include Gary M. Shaw, Suzan L. Carmichael, Edward J. Lammer, Sonja A. Rasmussen, Martha M. Werler, Elliott H. Sherr, Hannah C. Glass, Bo Shuai, Jagteshwar Grewal and Xiaoyan Liu. Their work appears in journals such as Birth Defects Research Part A Clinical and Molecular Teratology, Birth Defects Research, Journal of Pharmaceutical and Biomedical Analysis, Acta Pharmaceutica Sinica B and American Journal of Perinatology.

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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