Binyun Ma

2.8k citations
23 papers · 2.3k · 1 hit paper · h-index 15

Impact in

    • Autophagy in Disease and Therapy
    • Cancer-related molecular mechanisms research
    • MicroRNA in disease regulation

Papers in

Binyun Ma

22 papers receiving 2.3k citations

Binyun Ma's Hit Papers

Autophagy and autophagy-related proteins in cancer 2020 · 1.3k citations
1.3k0+2+4Years since publication4008001.2k

Peers

Binyun Ma
Comparison fields: 5 of 80
  • Epidemiology 484
  • Cancer Research 118
  • Molecular Biology 381
  • Cell Biology 62
  • Genetics 31
Replace Vassiliki Karantza‐Wadsworth with:
Vassiliki Karantza‐Wadsworth United States
Olivier Geneste France
Leilei Fu China
Sébastien Cagnol Canada
Jiansheng Xie China
Xiaohua Li China
Lionel Hebbard Australia
Prashanta Kumar Panda India
Luyuan Li China
Zhaoyu Jin United States
Binyun Ma relative to Vassiliki Karantza‐Wadsworth United States Vassiliki Karantza‐Wadsworth's profile →
Citations per field
00.5×2×4×5.2×
Vassiliki Karantza‐Wadsworth · 1×
Citations per year

Countries citing papers authored by Binyun Ma

Since Specialization
Citations

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

Fields of papers citing papers by Binyun Ma

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 23 papers — load more, or switch the sort, to bring in the rest.

#Work
1
Autophagy and autophagy-related proteins in cancer
Hit paper breakdown →
20201330
2 2020363
3 201381
4 201581
5 201567
6 202147
7 202247
8 201542
9 201139
10 201239
11 202033
12 202222
13 202322
14 201220
15 202319
16 201010
17 20228
18 20226
19 20255
20 20212

About Binyun Ma

Binyun Ma is a scholar working on Ophthalmology, Cell Biology, Pulmonary and Respiratory Medicine, Molecular Biology and Epidemiology, having authored 23 papers that have together received 2.3k indexed citations. Recurring topics across this work include RNA modifications and cancer (2 papers), Calpain Protease Function and Regulation (2 papers), ATP Synthase and ATPases Research (2 papers), Autophagy in Disease and Therapy (2 papers), Prostate Cancer Treatment and Research (2 papers), Ocular Diseases and Behçet’s Syndrome (2 papers), Renal cell carcinoma treatment (2 papers) and Extracellular vesicles in disease (1 paper). The work is most often cited by research in Epidemiology (484 citations), Cancer Research (118 citations), Molecular Biology (381 citations), Cell Biology (62 citations) and Genetics (31 citations). Binyun Ma has collaborated with scholars based in United States, China and Italy. Frequent co-authors include Shikun He, Xiaohua Li, Alfredo Maria Bove, Xinrong Wang, Giuseppe Simone, Hong Nian, Lizhe An, Yun Xiang, Ruihua Wei and Lu Zhao. Their work appears in journals such as British Journal of Cancer, Frontiers in Cell and Developmental Biology, Genes & Diseases, Nature Communications and Oncotarget.

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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