Ding Wang

1.9k citations
59 papers · 1.4k · h-index 18

Impact in

    • Cancer-related molecular mechanisms research
    • MicroRNA in disease regulation
    • RNA modifications and cancer
    • RNA Research and Splicing
    • CRISPR and Genetic Engineering
    • RNA and protein synthesis mechanisms
    • Pluripotent Stem Cells Research

Papers in

Ding Wang

57 papers receiving 1.4k citations

Peers

Ding Wang
Comparison fields: 5 of 99
  • Cancer Research 246
  • Molecular Biology 871
  • Genetics 121
  • Aging 21
  • Pulmonary and Respiratory Medicine 260
Replace Dawid G. Nowak with:
Dawid G. Nowak United States
Yuehong Cui China
Aaron J. Donner United States
Kwang‐Yu Chang Taiwan
Jin Sung Jang United States
Janelle Simon United States
Qianghu Wang China
James Koh United States
Siddhartha Deb Australia
Lars Anders United States
Ding Wang relative to Dawid G. Nowak United States Dawid G. Nowak's profile →
Citations per field
00.5×4.7×
Dawid G. Nowak · 1×
Citations per year

Countries citing papers authored by Ding Wang

Since Specialization
Citations

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

Fields of papers citing papers by Ding Wang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 59 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2006136
2 2011130
3 2014120
4 2014107
5 202195
6 201679
7 201864
8 201958
9 201651
10 201850
11 201043
12 201143
13 202141
14 202037
15 201836
16 200135
17 202221
18 202121
19 202016
20 201916

About Ding Wang

Ding Wang is a scholar working on Molecular Biology, Pulmonary and Respiratory Medicine, Oncology, Genetics and Genetics, having authored 59 papers that have together received 1.4k indexed citations. Recurring topics across this work include Mesenchymal stem cell research (5 papers), Colorectal Cancer Treatments and Studies (4 papers), Pluripotent Stem Cells Research (4 papers), Cancer Immunotherapy and Biomarkers (4 papers), Genomic variations and chromosomal abnormalities (4 papers), Extracellular vesicles in disease (4 papers), RNA and protein synthesis mechanisms (4 papers) and Lung Cancer Treatments and Mutations (4 papers). The work is most often cited by research in Cancer Research (246 citations), Molecular Biology (871 citations), Genetics (121 citations), Aging (21 citations) and Pulmonary and Respiratory Medicine (260 citations). Ding Wang has collaborated with scholars based in China, United States and United Kingdom. Frequent co-authors include Lawrence B. Gardner, Patricia LoRusso, Scott A. Boerner, James D. Winkler, Leenus Martin, Xiaofang Sun, Daolin Tang, Rui Kang, Bing Song and Yong Fan. Their work appears in journals such as Journal of Clinical Oncology, Journal of Cellular and Molecular Medicine, Biochemical and Biophysical Research Communications, Molecular Cancer Therapeutics and Human Cell.

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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