Dan Sha

1.1k citations
13 papers · 738 · 1 hit paper · h-index 7

Impact in

  • Oncology top 10%
    • Cancer Immunotherapy and Biomarkers
    • Pancreatic and Hepatic Oncology Research
    • Cancer Genomics and Diagnostics

Papers in

Dan Sha

11 papers receiving 731 citations

Dan Sha's Hit Papers

Tumor Mutational Burden as a Predictive Biomarker in Solid Tumors 2020 · 604 citations
6040+2+4Years since publication200400600

Peers

Dan Sha
Comparison fields: 5 of 60
  • Oncology 329
  • Cancer Research 163
  • Pulmonary and Respiratory Medicine 164
  • Immunology 104
  • Sensory Systems 19
Replace Yousef R. Badran with:
Yousef R. Badran United States
Xinxin Zhu China
Rong‐Miao Zhou China
Yuanying Zeng China
Timothy T.C. Yip China
Holger Schwabe Germany
Derek Tsz‐Wai Yau China
Yoo-Duk Choi South Korea
Fanrong Zhang China
Dan Sha relative to Yousef R. Badran United States Yousef R. Badran's profile →
Citations per field
00.5×2×3×4×4.6×
Yousef R. Badran · 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

13 of 13 papers shown
#Work
1
Tumor Mutational Burden as a Predictive Biomarker in Solid Tumors
Hit paper breakdown →
2020604
2 201434
3 201331
4 202122
5 202414
6 202111
7 20248
8 20167
9 20165
10 20181
11 20221
12 20250
13 20260

About Dan Sha

Dan Sha is a scholar working on Oncology, Cancer Research, Modeling and Simulation, Sensory Systems and Molecular Medicine, having authored 13 papers that have together received 738 indexed citations. Recurring topics across this work include Cancer Genomics and Diagnostics (2 papers), Viral gastroenteritis research and epidemiology (1 paper), Cancer Cells and Metastasis (1 paper), Respiratory viral infections research (1 paper), Infections and bacterial resistance (1 paper), Bacterial Genetics and Biotechnology (1 paper), Neuroendocrine Tumor Research Advances (1 paper) and Virus-based gene therapy research (1 paper). The work is most often cited by research in Oncology (329 citations), Cancer Research (163 citations), Pulmonary and Respiratory Medicine (164 citations), Immunology (104 citations) and Sensory Systems (19 citations). Dan Sha has collaborated with scholars based in China, United States and Germany. Frequent co-authors include Albrecht Stenzinger, Zhaohui Jin, Klaus Kluck, Jan Budczies, Frank A. Sinicrope, Yangang Cui, Jianpeng Chen, Caixia Wang, Weibo Wang and Yi Guo Luan. Their work appears in journals such as Bladder Cancer, Antibiotics, Frontiers in Oncology, BMJ Open and BMC Infectious Diseases.

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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