Ding Ma

36 papers receiving 353 citations

Peers

Ding Ma
Comparison fields: 5 of 100
  • Developmental Neuroscience 14
  • Cancer Research 46
  • Molecular Biology 210
  • Sensory Systems 13
  • Cellular and Molecular Neuroscience 43
Replace Vijay P. Kale with:
Vijay P. Kale United States
Meiling Sun China
Mariya Misheva United Kingdom
Sarah Healey China
Jung Kuk Kim South Korea
Miguel Ángel de la Cruz-Morcillo Spain
Xinglin Hu China
Farrah Zahed Germany
Bitna Kang South Korea
Ekaterina Kotelnikova United States
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Citations per field
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Citations per year

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-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 38 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201747
2 200842
3 201635
4 200630
5 200729
6 201728
7 201925
8 201921
9 202214
10 202411
11 20069
12 20158
13 20177
14 20086
15 20086
16
Clinicopathological Significance of VEGF-C, VEGFR-3 and Cyclooxygenase-2 in Early-Stage Cervical Cancer.
20085
17 20205
18 20135
19 20174
20
[Correlation of expression of RhoA (RhoC and their effector ROCK-1 with malignant phenotype of ovarian cancer cells in vitro].
20043

About Ding Ma

Ding Ma is a scholar working on Molecular Biology, Discrete Mathematics and Combinatorics, Algebra and Number Theory, Oncology and Cellular and Molecular Neuroscience, having authored 38 papers that have together received 363 indexed citations. Recurring topics across this work include Advanced Mathematical Identities (5 papers), Analytic Number Theory Research (5 papers), Advanced Combinatorial Mathematics (4 papers), Nerve injury and regeneration (3 papers), Cytokine Signaling Pathways and Interactions (2 papers), Cancer Research and Treatments (2 papers), Endometrial and Cervical Cancer Treatments (2 papers) and Differential Equations and Boundary Problems (2 papers). The work is most often cited by research in Developmental Neuroscience (14 citations), Cancer Research (46 citations), Molecular Biology (210 citations), Sensory Systems (13 citations) and Cellular and Molecular Neuroscience (43 citations). Ding Ma has collaborated with scholars based in China, United States and Hong Kong. Frequent co-authors include Laurence Yang, Michael A. Saunders, Bernhard Ø. Palsson, Jinlong He, Jun Yang, Xinchuan Wei, Danhui Weng, Ali Ebrahim, Colton J. Lloyd and Di Yang. Their work appears in journals such as Oncology Reports, The Journal of Comparative Neurology, Bioscience Reports, Scientific Reports and Applied Physics Letters.

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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