Chengbin Ma

1.3k citations
42 papers · 879 · h-index 18

Impact in

    • MicroRNA in disease regulation
    • Cancer-related molecular mechanisms research
    • Ovarian function and disorders
    • Endometriosis Research and Treatment

Papers in

    • Circular RNAs in diseases 7
    • RNA Research and Splicing 4
    • RNA modifications and cancer 3
    • MicroRNA in disease regulation 8
    • Cancer-related molecular mechanisms research 7

Chengbin Ma

42 papers receiving 861 citations

Peers

Chengbin Ma
Comparison fields: 5 of 102
  • Cancer Research 312
  • Reproductive Medicine 156
  • Obstetrics and Gynecology 63
  • Molecular Biology 407
  • Immunology 122
Replace Eun Ji Lee with:
Eun Ji Lee South Korea
Lianju Shen China
Se-Ra Park South Korea
Pei-Chin Chuang Taiwan
Andrey Elchaninov Russia
Rossana Domenis Italy
Xingchen Li China
Ting Tian China
Jingyu Liu China
Jin Seok South Korea
Chengbin Ma relative to Eun Ji Lee South Korea Eun Ji Lee's profile →
Citations per field
00.5×3.8×
Eun Ji Lee · 1×
Citations per year

Countries citing papers authored by Chengbin Ma

Since Specialization
Citations

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

Fields of papers citing papers by Chengbin Ma

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 42 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201596
2 201479
3 201566
4 202264
5 202253
6 201850
7 202146
8 201535
9 201333
10 202128
11 201624
12 201524
13 201623
14 202222
15 201221
16 202018
17 201218
18 202118
19 201614
20 201914

About Chengbin Ma

Chengbin Ma is a scholar working on Molecular Biology, Cancer Research, Immunology, Obstetrics and Gynecology and Reproductive Medicine, having authored 42 papers that have together received 879 indexed citations. Recurring topics across this work include MicroRNA in disease regulation (8 papers), Circular RNAs in diseases (7 papers), Cancer-related molecular mechanisms research (7 papers), Endometrial and Cervical Cancer Treatments (4 papers), RNA Research and Splicing (4 papers), Endometriosis Research and Treatment (4 papers), Reproductive System and Pregnancy (4 papers) and RNA modifications and cancer (3 papers). The work is most often cited by research in Cancer Research (312 citations), Reproductive Medicine (156 citations), Obstetrics and Gynecology (63 citations), Molecular Biology (407 citations) and Immunology (122 citations). Chengbin Ma has collaborated with scholars based in China. Frequent co-authors include Qiongwei Wu, Ping Liu, Zhiyu Zhang, Wenying Zhang, Haifei Zhang, Feng Wang, Yuanyuan Gu, Guannan Zhou, Fangyue Zhou and Yan Cui. Their work appears in journals such as Cancer Cell International, Oncology Reports, Medicine, Tumor Biology and Frontiers in Endocrinology.

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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