Ding Ma

11.7k total citations · 5 hit papers
202 papers, 5.7k citations indexed

About

Ding Ma is a scholar working on Molecular Biology, Cancer Research and Oncology. According to data from OpenAlex, Ding Ma has authored 202 papers receiving a total of 5.7k indexed citations (citations by other indexed papers that have themselves been cited), including 100 papers in Molecular Biology, 74 papers in Cancer Research and 56 papers in Oncology. Recurrent topics in Ding Ma's work include Cancer Genomics and Diagnostics (20 papers), Cervical Cancer and HPV Research (15 papers) and Breast Cancer Treatment Studies (15 papers). Ding Ma is often cited by papers focused on Cancer Genomics and Diagnostics (20 papers), Cervical Cancer and HPV Research (15 papers) and Breast Cancer Treatment Studies (15 papers). Ding Ma collaborates with scholars based in China, United States and Japan. Ding Ma's co-authors include Yi‐Zhou Jiang, Da‐Qiang Li, Xi Jin, Yi Xiao, Xin Hu, Zhi‐Ming Shao, Gang Chen, Liangliang Wang, Zhenya Hong and Cong Zhang and has published in prestigious journals such as Advanced Materials, Journal of Biological Chemistry and Journal of Clinical Oncology.

In The Last Decade

Ding Ma

196 papers receiving 5.6k citations

Hit Papers

Ferroptosis heterogeneity in triple-negative breast cance... 2020 2026 2022 2024 2022 2023 2020 2022 2025 100 200 300

Peers

Ding Ma
Comparison fields: 5 of 154
  • Molecular Biology 2.8k
  • Cancer Research 1.9k
  • Oncology 1.7k
  • Pulmonary and Respiratory Medicine 1.0k
  • Immunology 771
Replace Andrew P. Mazar with:
Andrew P. Mazar United States
Guido Bocci Italy
Ding Ma China
Lisa M. Butler Australia
Madappa N. Kundranda United States
Peter A. van Dam Belgium
Muh‐Hwa Yang Taiwan
Junbo Hu China
Andrew P. Mazar United States View profile →
Citations per field, relative to Ding Ma
Ding Ma · 1×
Citations per year, relative to Ding Ma
Ding Ma · 1×

Countries citing papers authored by Ding Ma

Since Specialization
Citations

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

Fields of papers citing papers by Ding Ma

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Ding Ma

This figure shows the co-authorship network connecting the top 25 collaborators of Ding Ma. A scholar is included among the top collaborators of Ding Ma based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Ding Ma. Ding Ma is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
# Work Indexed citations
1 1
2 10
3 6
4 14
5 17
6 23
7 12
8 10
9 14
10 14
11 37
12 12
13 4
14 18
15 31
16 265
17 15
18 65
19 18
20
[Expression of Ezrin and E-cadherin in invasive ductal breast cancer and their correlations to lymphatic metastasis].
17

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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