Dan Sha

1k citations
9 papers · 719 · 1 hit paper · h-index 6

Impact in

  • Oncology top 10%
    • Cancer Immunotherapy and Biomarkers
    • Cancer Genomics and Diagnostics
    • Cancer-related molecular mechanisms research
    • Breast Cancer Treatment Studies

Papers in

Dan Sha

8 papers receiving 710 citations

Dan Sha's Hit Papers

Tumor Mutational Burden as a Predictive Biomarker in Solid Tumors 2020 · 611 citations
6110+2+4Years since publication200400600

Peers

Dan Sha
Comparison fields: 5 of 44
  • Oncology 358
  • Cancer Research 153
  • Sensory Systems 21
  • Pulmonary and Respiratory Medicine 121
  • Otorhinolaryngology 16
Replace Haruyoshi Tanaka with:
Haruyoshi Tanaka Japan
Mirte Mayke Streppel Netherlands
Mitsumasa Osakabe Japan
Jonathan Andreas United States
Yong Bao China
Danielle A. Murphy United States
Rajesh Patidar United States
Evelien Schaafsma United States
A.B. Heimberger United States
JK Litton United States
Dan Sha relative to Haruyoshi Tanaka Japan Haruyoshi Tanaka's profile →
Citations per field
00.5×2×4×6×7×
Haruyoshi Tanaka · 1×
Citations per year

Countries citing papers authored by Dan Sha

Since Specialization
Citations

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

Fields of papers citing papers by Dan Sha

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

9 of 9 papers shown
#Work
1
Tumor Mutational Burden as a Predictive Biomarker in Solid Tumors
Hit paper breakdown →
2020611
2 201434
3 201331
4 202122
5 20248
6 20167
7 20165
8 20221
9 20250

About Dan Sha

Dan Sha is a scholar working on Oncology, Sensory Systems, Otorhinolaryngology, Surgery and Pulmonary and Respiratory Medicine, having authored 9 papers that have together received 719 indexed citations. Recurring topics across this work include Cholangiocarcinoma and Gallbladder Cancer Studies (1 paper), Cancer Immunotherapy and Biomarkers (1 paper), Head and Neck Cancer Studies (1 paper), Orthopaedic implants and arthroplasty (1 paper), Bone Tissue Engineering Materials (1 paper), Cancer Cells and Metastasis (1 paper), Bladder and Urothelial Cancer Treatments (1 paper) and Neuroendocrine Tumor Research Advances (1 paper). The work is most often cited by research in Oncology (358 citations), Cancer Research (153 citations), Sensory Systems (21 citations), Pulmonary and Respiratory Medicine (121 citations) and Otorhinolaryngology (16 citations). Dan Sha has collaborated with scholars based in China, Germany and United States. Frequent co-authors include Klaus Kluck, Frank A. Sinicrope, Jan Budczies, Albrecht Stenzinger, Zhaohui Jin, Yangang Cui, Jianpeng Chen, Caixia Wang, Yi Luan and Rong Shen. Their work appears in journals such as BioMed Research International, BMC Infectious Diseases, The Oncologist, BMJ Open and Bladder Cancer.

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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