Ding Wang

411 citations
23 papers · 267 · h-index 9

Impact in

    • Mesenchymal stem cell research
    • Inflammatory Bowel Disease
    • Cancer Cells and Metastasis
    • Drug Transport and Resistance Mechanisms

Papers in

    • Cancer Treatment and Pharmacology 2
    • Colorectal Cancer Treatments and Studies 2
    • Pancreatic and Hepatic Oncology Research 2
    • Lung Cancer Treatments and Mutations 4
    • Advanced Breast Cancer Therapies 2
    • Ferroptosis and cancer prognosis 1
    • Renal cell carcinoma treatment 1

Ding Wang

21 papers receiving 264 citations

Peers

Ding Wang
Comparison fields: 5 of 68
  • Genetics 62
  • Oncology 54
  • Immunology 34
  • Insect Science 21
  • Hematology 12
Replace Matteo Martini with:
Matteo Martini Italy
Keiko Taniguchi‐Ponciano Mexico
Silvia Alberti Violetti Italy
Marfa Blanter Belgium
Yebo Wang China
Petra Ebner Germany
Eduardo Caleiras Spain
Katsumi Yoneyama Japan
Masaharu Matsuzaki Japan
Eleni Chouri Netherlands
Ding Wang relative to Matteo Martini Italy Matteo Martini's profile →
Citations per field
00.5×5.6×
Matteo Martini · 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 23 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201188
2 201436
3 201426
4 202117
5 201316
6 201914
7 201610
8 20219
9 20169
10 20207
11 20187
12 20237
13 20246
14 20154
15 20233
16 20252
17 20142
18 20241
19 20201
20 20201

About Ding Wang

Ding Wang is a scholar working on Oncology, Pulmonary and Respiratory Medicine, Molecular Biology, Epidemiology and Physiology, having authored 23 papers that have together received 267 indexed citations. Recurring topics across this work include Lung Cancer Treatments and Mutations (4 papers), Cancer Treatment and Pharmacology (2 papers), Advanced Breast Cancer Therapies (2 papers), Colorectal Cancer Treatments and Studies (2 papers), Pancreatic and Hepatic Oncology Research (2 papers), Autophagy in Disease and Therapy (2 papers), Ferroptosis and cancer prognosis (1 paper) and Renal cell carcinoma treatment (1 paper). The work is most often cited by research in Genetics (62 citations), Oncology (54 citations), Immunology (34 citations), Insect Science (21 citations) and Hematology (12 citations). Ding Wang has collaborated with scholars based in China, United States and Germany. Frequent co-authors include Chunlan Dong, Xiaoguang Zhang, Xiaojun Chen, Weiting Du, Jie Xu, Zhongchao Han, Weixian Chen, Meng Liu, Delin Zhu and Lu Liang. Their work appears in journals such as Journal of Clinical Oncology, PLoS ONE, Cancer Chemotherapy and Pharmacology, Blood and Journal of Multidisciplinary Healthcare.

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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