Dan Sha

1.0k citations
16 papers · 644 indexed · 1 hit paper · h-index 7
Topics
Cancer Genomics and Diagnostics (3 papers)Virus-based gene therapy research (2 papers)Colorectal Cancer Treatments and Studies (2 papers)

In The Last Decade

Dan Sha

15 papers receiving 635 citations

Hit Papers

Tumor Mutational Burden as a Predictive Biomarker in Soli...20202026202220242020100200300400500

Peers

Dan Sha
Comparison fields: 5 of 57
  • Oncology 372
  • Cancer Research 211
  • Pulmonary and Respiratory Medicine 210
  • Molecular Biology 204
  • Immunology 114
Replace Taro Tobo with:
Taro Tobo Japan
Mirella Giordano Italy
Rosamaria Pinto Italy
Sho Nambara Japan
Qiuzhong Pan China
Kailun Fei China
Edlyn Soeth Germany
Tamás Barbai Hungary
C. Mascaux Belgium
Gefei Qing Canada
Dan Sha relative to Taro Tobo Japan Taro Tobo's profile →
Citations per field
00.5×1.5×2.2×
Taro Tobo · 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-authorship network of co-authors of Dan Sha

This figure shows the co-authorship network connecting the top 25 collaborators of Dan Sha. A scholar is included among the top collaborators of Dan Sha based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Dan Sha. Dan Sha is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

16 of 16 papers shown
#WorkIndexed citations
1 0
2 5
3 6
4 1
5 1
6 20
7 9
8
Tumor Mutational Burden as a Predictive Biomarker in Solid Tumorsbreakdown →
510
9 1
10 6
11 5
12 33
13 26
14
[Anti-nasopharyngeal carcinoma effect in vivo and in vitro of Avastin and adenovirus-thymidine kinase suicide gene].
3
15
[Expression and antigenicity analysis of NTPase gene of Toxoplasma gondii].
3
16
[Expression and clinical significance of VEGF and its receptors Flt-1 and KDR in nasopharyngeal carcinoma].
15

About Dan Sha

Dan Sha is a scholar working on Cancer Research, Oncology and Modeling and Simulation, having authored 16 papers that have together received 644 indexed citations. Recurring topics across this work include Cancer Genomics and Diagnostics (3 papers), Virus-based gene therapy research (2 papers) and Colorectal Cancer Treatments and Studies (2 papers). The work is most often cited by research in Cancer Research (211 citations), Oncology (372 citations) and Pulmonary and Respiratory Medicine (210 citations). Dan Sha has collaborated with scholars based in China, United States and Germany. Frequent co-authors include Jan Budczies, Klaus Kluck, Zhaohui Jin, Albrecht Stenzinger, Frank A. Sinicrope, Jianpeng Chen, Caixia Wang, Weibo Wang, Rong Shen and Yi Luan. Their work appears in journals such as Journal of Clinical Oncology, Cancer Letters and Cancer Discovery.

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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