Yan‐Bin Ma

616 citations
34 papers · 480 · h-index 13

Impact in

    • MicroRNA in disease regulation
    • Cancer-related molecular mechanisms research
    • Glioma Diagnosis and Treatment

Papers in

    • RNA Interference and Gene Delivery 4
    • Epigenetics and DNA Methylation 3
    • RNA Research and Splicing 2
    • Glioma Diagnosis and Treatment 7

Yan‐Bin Ma

33 papers receiving 472 citations

Peers

Yan‐Bin Ma
Comparison fields: 5 of 92
  • Cancer Research 96
  • Genetics 45
  • Molecular Biology 219
  • Biomaterials 41
  • Oncology 53
Replace Gwan-Shik Kim with:
Gwan-Shik Kim South Korea
Guangwen Wang China
Yang Ying China
Zhenyan Li China
Xiaoqin He China
Fei Jia China
Haoyu Lin China
M. Nagayama Japan
Dongwei Fan China
Yan‐Bin Ma relative to Gwan-Shik Kim South Korea Gwan-Shik Kim's profile →
Citations per field
00.5×1.5×2.1×
Gwan-Shik Kim · 1×
Citations per year

Countries citing papers authored by Yan‐Bin Ma

Since Specialization
Citations

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

Fields of papers citing papers by Yan‐Bin Ma

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 34 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201267
2 201246
3 201135
4 201134
5 200831
6 202230
7 200930
8 201630
9 201219
10 201317
11 201815
12 201814
13 201312
14 201112
15 201912
16 200711
17 202010
18 201310
19 20208
20 20197

About Yan‐Bin Ma

Yan‐Bin Ma is a scholar working on Molecular Biology, Genetics, Cancer Research, Management, Monitoring, Policy and Law and Civil and Structural Engineering, having authored 34 papers that have together received 480 indexed citations. Recurring topics across this work include Glioma Diagnosis and Treatment (7 papers), RNA Interference and Gene Delivery (4 papers), Epigenetics and DNA Methylation (3 papers), Cancer-related molecular mechanisms research (3 papers), MicroRNA in disease regulation (3 papers), Liver physiology and pathology (2 papers), RNA Research and Splicing (2 papers) and Landslides and related hazards (2 papers). The work is most often cited by research in Cancer Research (96 citations), Genetics (45 citations), Molecular Biology (219 citations), Biomaterials (41 citations) and Oncology (53 citations). Yan‐Bin Ma has collaborated with scholars based in China. Frequent co-authors include Sheng‐Hua Chu, Dong‐Fu Feng, Pucha Jiang, Zhiqiang Li, Zhiqiang Li, Biao Yang, Haitao Zhang, Jianhua Qiu, Shuang Liang and Xinxin Fu. Their work appears in journals such as Journal of Translational Medicine, Molecular Biology Reports, Frontiers in Oncology, Journal of Neuro-Oncology and Cancer Gene Therapy.

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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