Dan Sha
Impact in
- Oncology top 10%
- Cancer Immunotherapy and Biomarkers
- Pancreatic and Hepatic Oncology Research
- CAR-T cell therapy research
- Cancer Research top 10%
- Cancer Genomics and Diagnostics
Papers in
- Oncology 5
- Colorectal Cancer Treatments and Studies 2
- Pancreatic and Hepatic Oncology Research 1
-
- Plant Molecular Biology Research 1
- Plant Micronutrient Interactions and Effects 1
- Co-authors
- Albrecht Stenzinger (1 shared paper)Jan Budczies (1 shared paper)Frank A. Sinicrope (1 shared paper)Zhaohui Jin (1 shared paper)Klaus Kluck (1 shared paper)Yangang Cui (4 shared papers)Caixia Wang (3 shared papers)Jianpeng Chen (3 shared papers)
- Journals
- Cancer Discovery (1 paper)Plant Biotechnology Journal (1 paper)Expert Review of Anticancer Therapy (1 paper)The Oncologist (1 paper)BMC Infectious Diseases (1 paper)
- Partner nations
- ChinaUnited StatesGermany
In The Last Decade
Dan Sha
15 papers receiving 678 citations
Dan Sha's Hit Papers
Peers
Comparison fields: 5 of 57
- Oncology 309
- Cancer Research 162
- Pulmonary and Respiratory Medicine 162
- Immunology 97
- Sensory Systems 19
Countries citing papers authored by Dan Sha
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
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.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | Tumor Mutational Burden as a Predictive Biomarker in Solid Tumors Hit paper breakdown → | 2020 | 545 |
| 2 | 2014 | 34 | |
| 3 | 2013 | 27 | |
| 4 | 2021 | 21 | |
| 5 | [Expression and clinical significance of VEGF and its receptors Flt-1 and KDR in nasopharyngeal carcinoma]. | 2006 | 16 |
| 6 | 2024 | 10 | |
| 7 | 2021 | 9 | |
| 8 | 2016 | 6 | |
| 9 | 2016 | 5 | |
| 10 | 2024 | 5 | |
| 11 | [Anti-nasopharyngeal carcinoma effect in vivo and in vitro of Avastin and adenovirus-thymidine kinase suicide gene]. | 2007 | 3 |
| 12 | [Expression and antigenicity analysis of NTPase gene of Toxoplasma gondii]. | 2007 | 3 |
| 13 | 2022 | 1 | |
| 14 | 2023 | 1 | |
| 15 | 2018 | 1 | |
| 16 | 2026 | 0 | |
| 17 | 2025 | 0 |
About Dan Sha
Dan Sha is a scholar working on Oncology, Plant Science, Cancer Research, Surgery and Epidemiology, having authored 17 papers that have together received 687 indexed citations. Recurring topics across this work include Cancer Genomics and Diagnostics (3 papers), Colorectal Cancer Treatments and Studies (2 papers), Plant Molecular Biology Research (1 paper), Pancreatic and Hepatic Oncology Research (1 paper), Plant Micronutrient Interactions and Effects (1 paper), Plant Gene Expression Analysis (1 paper), Mathematical Biology Tumor Growth (1 paper) and Magnesium in Health and Disease (1 paper). The work is most often cited by research in Oncology (309 citations), Cancer Research (162 citations), Pulmonary and Respiratory Medicine (162 citations), Immunology (97 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, Jan Budczies, Frank A. Sinicrope, Zhaohui Jin, Klaus Kluck, Yangang Cui, Caixia Wang, Jianpeng Chen, Weibo Wang and Yi Luan. Their work appears in journals such as Cancer Discovery, Plant Biotechnology Journal, Expert Review of Anticancer Therapy, The Oncologist 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.