Shunli Dong

410 citations
18 papers · 293 · h-index 8

Impact in

Papers in

    • RNA modifications and cancer 4
    • DNA Repair Mechanisms 1
    • CRISPR and Genetic Engineering 1
    • Peptidase Inhibition and Analysis 2
    • Lung Cancer Research Studies 1

Shunli Dong

18 papers receiving 291 citations

Peers

Shunli Dong
Comparison fields: 5 of 58
  • Cancer Research 79
  • Developmental Biology 6
  • Molecular Biology 182
  • Oncology 54
  • Immunology 33
Replace John E. Prime with:
John E. Prime United Kingdom
Leticia Fröhlich Archangelo Brazil
Matthew L. DuPrie United States
Sara S. Oltra Spain
Joshua C. Farris United States
Edyta Vieth United States
I Radke Germany
Alexander E. Kudinov United States
Helen Jiang Canada
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Citations per field
00.5×10×13.7×
John E. Prime · 1×
Citations per year

Countries citing papers authored by Shunli Dong

Since Specialization
Citations

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

Fields of papers citing papers by Shunli Dong

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

18 of 18 papers shown
#Work
1 201361
2 201752
3 201449
4 202145
5 201829
6
Progress of Studies on Early Paleozoic Tectonic Framework and Crystalline Rock Geochronology in Altun—Qilian—Kunlun Orogen
201311
7 201910
8 20178
9 20177
10 20206
11 20225
12 20233
13 20242
14 20251
15 20241
16 20251
17 20241
18 20251

About Shunli Dong

Shunli Dong is a scholar working on Molecular Biology, Oncology, Cancer Research, Pathology and Forensic Medicine and Pulmonary and Respiratory Medicine, having authored 18 papers that have together received 293 indexed citations. Recurring topics across this work include RNA modifications and cancer (4 papers), Cancer Mechanisms and Therapy (3 papers), Ferroptosis and cancer prognosis (2 papers), Peptidase Inhibition and Analysis (2 papers), Cancer-related molecular mechanisms research (2 papers), DNA Repair Mechanisms (1 paper), Lung Cancer Research Studies (1 paper) and CRISPR and Genetic Engineering (1 paper). The work is most often cited by research in Cancer Research (79 citations), Developmental Biology (6 citations), Molecular Biology (182 citations), Oncology (54 citations) and Immunology (33 citations). Shunli Dong has collaborated with scholars based in China, United States and Hong Kong. Frequent co-authors include Jinhua Han, Jun Huang, Ting Liu, Hongxia Chen, Feng Xie, Li Wan, Yongcan Xu, Xuefei Shi, Caixia Guo and Yeran Yang. Their work appears in journals such as PeerJ, The Journal of Experimental Medicine, BioMed Research International, Current Biology and Interactive Cardiovascular and Thoracic Surgery.

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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