Dingding Wang

846 citations
31 papers · 616 · h-index 15

Impact in

  • Pharmacology top 10%
    • Pharmacological Effects of Natural Compounds
    • Ginseng Biological Effects and Applications
    • Natural product bioactivities and synthesis
    • Gene expression and cancer classification
    • Extracellular vesicles in disease

Papers in

    • TGF-β signaling in diseases 4
    • Advanced biosensing and bioanalysis techniques 3
    • Gene expression and cancer classification 3
    • Fibroblast Growth Factor Research 2

Dingding Wang

29 papers receiving 604 citations

Peers

Dingding Wang
Comparison fields: 5 of 97
  • Pharmacology 44
  • Molecular Biology 337
  • Cancer Research 67
  • Complementary and alternative medicine 30
  • Oncology 65
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Citations per field
00.5×2×2.6×
Wen Wen · 1×
Citations per year

Countries citing papers authored by Dingding Wang

Since Specialization
Citations

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

Fields of papers citing papers by Dingding Wang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 31 papers — load more, or switch the sort, to bring in the rest.

#Work
1 200884
2 200969
3 200954
4 201144
5 202440
6 202233
7 202331
8 201228
9 202028
10 201527
11 201227
12 201226
13 202318
14 202418
15 202114
16 202212
17 201611
18 20169
19 20109
20 20237

About Dingding Wang

Dingding Wang is a scholar working on Molecular Biology, Oncology, Plant Science, Cell Biology and Physiology, having authored 31 papers that have together received 616 indexed citations. Recurring topics across this work include TGF-β signaling in diseases (4 papers), Advanced biosensing and bioanalysis techniques (3 papers), Gene expression and cancer classification (3 papers), Phytochemistry and Biological Activities (2 papers), Nutrition and Health in Aging (2 papers), Fibroblast Growth Factor Research (2 papers), Lanthanide and Transition Metal Complexes (2 papers) and Cancer-related molecular mechanisms research (2 papers). The work is most often cited by research in Pharmacology (44 citations), Molecular Biology (337 citations), Cancer Research (67 citations), Complementary and alternative medicine (30 citations) and Oncology (65 citations). Dingding Wang has collaborated with scholars based in China, United States and United Kingdom. Frequent co-authors include Yihong Gong, Tao Li, Shenghuo Zhu, Kai Yu, Manman Su, Tianmin Xu, Manhua Cui, Xin Jiang, Wenjia Wang and Ying Xin. Their work appears in journals such as Cell Death Discovery, Protein Expression and Purification, Phytochemistry, Journal of Chromatography A and Frontiers in Oncology.

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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