Dong Shen

22.1k citations
100 papers · 7.4k indexed · 3 hit papers · h-index 26

Dong Shen

96 papers receiving 7.3k citations

Hit Papers

VarScan 2: Somatic mutation and copy number alteration di...3.1k200520262012201910002.0k3.0k

Peers

Dong Shen
Comparison fields: 5 of 161
  • Cancer Research 3.1k
  • Oncology 1.9k
  • Molecular Biology 3.9k
  • Pathology and Forensic Medicine 986
  • Hematology 487
Replace Yutaka Kondo with:
Yutaka Kondo Japan
Qunyuan Zhang United States
Alexander Dobrovic Australia
Hiromu Suzuki Japan
Asta Försti Germany
Roger K. Wolff United States
Bauke Ylstra Netherlands
Triantafillos Liloglou United Kingdom
Meredith Yeager United States
Yuji Hinoda Japan
Dong Shen relative to Yutaka Kondo Japan Yutaka Kondo's profile →
Citations per field
00.5×1.5×
Yutaka Kondo · 1×
Citations per year

Countries citing papers authored by Dong Shen

Since Specialization
Citations

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

Fields of papers citing papers by Dong Shen

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

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

All Works

20 of 20 papers shown
#Work
1 20245
2 20237
3 20232
4 20234
5 20222
6 20212
7 202014
8 201714
9 201651
10 201641
11 2014100
12 201319
13
Activating HER2 Mutations in HER2 Gene Amplification Negative Breast Cancerbreakdown →
2012600
14
VarScan 2: Somatic mutation and copy number alteration discovery in cancer by exome sequencingbreakdown →
20123093
15 20111
16 201167
17
Clinical observation in Temozolomide combined with radiotherapy in treatment of postoperative malignant glioma
20083
18 2004412
19
Toxic effect of inhibition of glutathione synthesis on human embryonic kidney cells
20022
20
Clinical and experimental study on acne vulgaris treated with compound Shecao (Herba Hedyotis diffusae) decoction.
20001

About Dong Shen

Dong Shen is a scholar working on Cancer Research, Genetics and Behavioral Neuroscience, having authored 100 papers that have together received 7.4k indexed citations. Recurring topics across this work include Cancer-related molecular mechanisms research (13 papers), MicroRNA in disease regulation (10 papers), Glioma Diagnosis and Treatment (9 papers), RNA modifications and cancer (8 papers), Circular RNAs in diseases (8 papers), Cancer Genomics and Diagnostics (7 papers), Epigenetics and DNA Methylation (6 papers) and DNA Repair Mechanisms (4 papers). The work is most often cited by research in Cancer Research (3.1k citations), Oncology (1.9k citations) and Molecular Biology (3.9k citations). Dong Shen has collaborated with scholars based in China, United States and Canada. Frequent co-authors include Elaine R. Mardis, Li Ding, Richard K. Wilson, Michael D. McLellan, Christopher A. Miller, David E. Larson, Daniel C. Koboldt, Ling Lin, Qunyuan Zhang and Kenneth W. Kinzler. Their work appears in journals such as Blood, Cancer Research, Oncology Reports, Medicine and OncoTargets and Therapy.

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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