Ding Wu

960 citations
27 papers · 734 · h-index 14

Impact in

Papers in

Ding Wu

25 papers receiving 730 citations

Peers

Ding Wu
Comparison fields: 5 of 98
  • Cancer Research 139
  • Aging 16
  • Molecular Biology 424
  • Immunology and Allergy 32
  • Pathology and Forensic Medicine 86
Replace Kate E. Jarman with:
Kate E. Jarman Australia
Jimin Yuan China
Delphine R. Boulbés United States
Chu‐yan Chan Hong Kong
Katarzyna Marta Lisowska Poland
F. Darío Cuello-Carrión Argentina
Natalia Ronkina Germany
Nora D. Mineva United States
Ding Wu relative to Kate E. Jarman Australia Kate E. Jarman's profile →
Citations per field
00.5×1.5×2.5×
Kate E. Jarman · 1×
Citations per year

Countries citing papers authored by Ding Wu

Since Specialization
Citations

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

Fields of papers citing papers by Ding Wu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 27 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2019111
2 2017106
3 200281
4 202166
5 201644
6 201542
7 201541
8 201032
9 202030
10 200529
11 200720
12 200617
13 201517
14 201014
15 202011
16 202011
17 200510
18 202210
19 20179
20 20198

About Ding Wu

Ding Wu is a scholar working on Molecular Biology, Radiology, Nuclear Medicine and Imaging, Cancer Research, Oncology and Hematology, having authored 27 papers that have together received 734 indexed citations. Recurring topics across this work include Monoclonal and Polyclonal Antibodies Research (7 papers), Advanced Biosensing Techniques and Applications (5 papers), Epigenetics and DNA Methylation (4 papers), Cancer-related molecular mechanisms research (4 papers), Chronic Myeloid Leukemia Treatments (4 papers), Telomeres, Telomerase, and Senescence (3 papers), Chronic Lymphocytic Leukemia Research (2 papers) and Cancer Cells and Metastasis (2 papers). The work is most often cited by research in Cancer Research (139 citations), Aging (16 citations), Molecular Biology (424 citations), Immunology and Allergy (32 citations) and Pathology and Forensic Medicine (86 citations). Ding Wu has collaborated with scholars based in China, United States and Norway. Frequent co-authors include Stephen J. Kron, Amy C. Flor, Don Wolfgeher, Xiaoqing Sun, Zhan Shi, Song Xue, Laurie L. Parker, Andrew J. Maniotis, Xue Chen and Jacob Pe’er. Their work appears in journals such as Journal of Biosciences, Analytical Biochemistry, Tumor Biology, Autophagy and Cell Death Discovery.

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.

Explore authors with similar magnitude of impact