Dang Ma

506 citations
20 papers · 405 · h-index 10

Impact in

Papers in

    • Cancer therapeutics and mechanisms 3
    • Protein Degradation and Inhibitors 2
    • Viral Infectious Diseases and Gene Expression in Insects 2
    • Histone Deacetylase Inhibitors Research 2
    • Drug Transport and Resistance Mechanisms 2

Dang Ma

17 papers receiving 401 citations

Peers

Dang Ma
Comparison fields: 5 of 66
  • Geriatrics and Gerontology 24
  • Biochemistry 29
  • Oncology 123
  • Cancer Research 55
  • Molecular Biology 210
Replace Elena Aréchaga-Ocampo with:
Elena Aréchaga-Ocampo Mexico
Omar Rahal United States
Pei Yen Yeh Taiwan
Myung-Soon Sung South Korea
Enrique Garcı́a-Villa Mexico
Marta Di Martile Italy
Jiao Li China
Arunima Shilpi India
Chi‐Wei Chen Taiwan
Dang Ma relative to Elena Aréchaga-Ocampo Mexico Elena Aréchaga-Ocampo's profile →
Citations per field
00.5×1.5×
Elena Aréchaga-Ocampo · 1×
Citations per year

Countries citing papers authored by Dang Ma

Since Specialization
Citations

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

Fields of papers citing papers by Dang Ma

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown
#Work
1 2017147
2 201084
3 200534
4 199427
5 200920
6 201820
7 201620
8 200517
9 201110
10 200610
11 20147
12 20243
13 20252
14 20141
15 20251
16 20181
17 20181
18 20240
19 20250
20 20250

About Dang Ma

Dang Ma is a scholar working on Molecular Biology, Oncology, Epidemiology, Genetics and Public Health, Environmental and Occupational Health, having authored 20 papers that have together received 405 indexed citations. Recurring topics across this work include Cancer therapeutics and mechanisms (3 papers), Virus-based gene therapy research (3 papers), Protein Degradation and Inhibitors (2 papers), Drug Transport and Resistance Mechanisms (2 papers), Cervical Cancer and HPV Research (2 papers), Viral Infectious Diseases and Gene Expression in Insects (2 papers), Histone Deacetylase Inhibitors Research (2 papers) and Advanced Thermodynamics and Statistical Mechanics (1 paper). The work is most often cited by research in Geriatrics and Gerontology (24 citations), Biochemistry (29 citations), Oncology (123 citations), Cancer Research (55 citations) and Molecular Biology (210 citations). Dang Ma has collaborated with scholars based in China, United States and Australia. Frequent co-authors include Qinglei Gao, Xiao Zhou, Zongyuan Yang, Cheng‐Xin Gong, Xing Xie, Weiguo Lü, Jie Jiao, Qi Dong, John Boutagy and Peter Galettis. Their work appears in journals such as Cancer Gene Therapy, Gynecologic Oncology, International Journal of Gynecological Cancer, Gene Therapy and International Journal of Low-Carbon Technologies.

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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