Ding Wang

417 citations
17 papers · 258 · h-index 8

Impact in

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

Papers in

    • Erythrocyte Function and Pathophysiology 2
    • Salivary Gland Disorders and Functions 1
    • Insect and Arachnid Ecology and Behavior 1

Ding Wang

15 papers receiving 255 citations

Peers

Ding Wang
Comparison fields: 5 of 69
  • Genetics 61
  • Oncology 45
  • Insect Science 22
  • Immunology 35
  • Genetics 31
Replace Jinqiu Fu with:
Jinqiu Fu China
Petra Ebner Germany
Xiaotong Ren China
Mario Alejandro Lorenzetti Argentina
Yebo Wang China
Daiki Rokunohe Japan
Lisa M. Lima United States
Katsumi Yoneyama Japan
Christina Quensel Germany
Rodrigo de Almeida Brazil
Ding Wang relative to Jinqiu Fu China Jinqiu Fu's profile →
Citations per field
00.5×2×3×3.9×
Jinqiu Fu · 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

17 of 17 papers shown
#Work
1 201188
2 201438
3 201428
4 202119
5 201318
6 201915
7 201611
8 20238
9 20218
10 20187
11 20247
12 20245
13 20233
14 20252
15 20201
16 20250
17 20240

About Ding Wang

Ding Wang is a scholar working on Physiology, Genetics, Pathology and Forensic Medicine, Geriatrics and Gerontology and Immunology, having authored 17 papers that have together received 258 indexed citations. Recurring topics across this work include Erythrocyte Function and Pathophysiology (2 papers), Erythropoietin and Anemia Treatment (1 paper), Inflammatory Biomarkers in Disease Prognosis (1 paper), COVID-19 Clinical Research Studies (1 paper), Insect and Arachnid Ecology and Behavior (1 paper), Cancer Cells and Metastasis (1 paper), Immune Response and Inflammation (1 paper) and Salivary Gland Disorders and Functions (1 paper). The work is most often cited by research in Genetics (61 citations), Oncology (45 citations), Insect Science (22 citations), Immunology (35 citations) and Genetics (31 citations). Ding Wang has collaborated with scholars based in China, United States and Germany. Frequent co-authors include Weixian Chen, Jie Xu, Weiting Du, Meng Liu, Chunlan Dong, Zhongchao Han, Xiaojun Chen, Xiaoguang Zhang, Delin Zhu and Lu Hong Liang. Their work appears in journals such as Cancer Chemotherapy and Pharmacology, PLoS ONE, Bioscience Reports, Disease Markers 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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