Ming Dong

547 citations
40 papers · 404 · h-index 10

Impact in

  • Biomaterials top 10%
    • Electrospun Nanofibers in Biomedical Applications
    • biodegradable polymer synthesis and properties
    • Silk-based biomaterials and applications
    • Polymer Surface Interaction Studies

Papers in

Ming Dong

38 papers receiving 390 citations

Peers

Ming Dong
Comparison fields: 5 of 81
  • Biomaterials 106
  • Surfaces, Coatings and Films 26
  • Cancer Research 47
  • Urology 19
  • Rheumatology 45
Replace Xiaoyun Wang with:
Xiaoyun Wang China
J.F. Stoltz France
Nuo Zhou China
Richard Ngo United States
Helin Xing China
Mark C. Mochel United States
Karine Montagne France
Akira Sugihara Japan
Patricia Roche Canada
Juliette Peltzer France
Ming Dong relative to Xiaoyun Wang China Xiaoyun Wang's profile →
Citations per field
00.5×7.7×
Xiaoyun Wang · 1×
Citations per year

Countries citing papers authored by Ming Dong

Since Specialization
Citations

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

Fields of papers citing papers by Ming Dong

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 40 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2003158
2 201635
3 202021
4 201515
5 202313
6 202012
7 202012
8 201510
9 20229
10 20239
11 20207
12 20187
13 20207
14 20207
15 20157
16 20235
17 20195
18 20205
19 20215
20 20195

About Ming Dong

Ming Dong is a scholar working on Surgery, Pulmonary and Respiratory Medicine, Oncology, Molecular Biology and Cancer Research, having authored 40 papers that have together received 404 indexed citations. Recurring topics across this work include Transplantation: Methods and Outcomes (6 papers), Lung Cancer Diagnosis and Treatment (4 papers), Cancer-related molecular mechanisms research (4 papers), Polyomavirus and related diseases (3 papers), Lung Cancer Treatments and Mutations (3 papers), Sarcoma Diagnosis and Treatment (2 papers), Viral-associated cancers and disorders (2 papers) and Cancer Immunotherapy and Biomarkers (2 papers). The work is most often cited by research in Biomaterials (106 citations), Surfaces, Coatings and Films (26 citations), Cancer Research (47 citations), Urology (19 citations) and Rheumatology (45 citations). Ming Dong has collaborated with scholars based in China, United Kingdom and Hong Kong. Frequent co-authors include Wenguang Liu, Yuan‐Lu Cui, Hong Wang, Jun Chen, Jinghao Liu, Zuoqing Song, Hongyu Liu, Honglin Zhao, Li Y and Song Xu. Their work appears in journals such as Frontiers in Oncology, Cancer Medicine, World Journal of Surgical Oncology, Infection and Drug Resistance and Cell Stress and Chaperones.

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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