Dan Sha
Impact in
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- Parkinson's Disease Mechanisms and Treatments
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- MicroRNA in disease regulation
Papers in
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- Ubiquitin and proteasome pathways 2
- RNA modifications and cancer 2
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- Viral gastroenteritis research and epidemiology 3
- Co-authors
- Lian Li (1 shared paper)Lih‐Shen Chin (1 shared paper)Steven R. Alberts (2 shared papers)Qian Shi (2 shared papers)Frank A. Sinicrope (4 shared papers)Nathan R. Foster (1 shared paper)Thomas C. Smyrk (1 shared paper)Daniel J. Sargent (1 shared paper)
- Journals
- Frontiers in Cellular and Infection Microbiology (1 paper)Journal of Clinical Oncology (1 paper)Clinical Cancer Research (1 paper)Human Molecular Genetics (1 paper)Frontiers in Immunology (1 paper)
- Partner nations
- ChinaUnited StatesTaiwan
In The Last Decade
Dan Sha
11 papers receiving 278 citations
Peers
Comparison fields: 5 of 50
- Neurology 80
- Cancer Research 38
- Epidemiology 83
- Endocrinology 11
- Oncology 54
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 | 2009 | 155 | |
| 2 | 2020 | 42 | |
| 3 | 2014 | 35 | |
| 4 | 2016 | 13 | |
| 5 | 2020 | 11 | |
| 6 | 2016 | 9 | |
| 7 | 2023 | 6 | |
| 8 | 2018 | 4 | |
| 9 | [Molecular characteristics of acute gastroenteritis outbreaks caused by norovirus, in Jiangsu province]. | 2013 | 3 |
| 10 | 2024 | 2 | |
| 11 | 2022 | 1 | |
| 12 | Rapid detection of Campylobacter jejuni by multiplex PCR technique | 2011 | 0 |
| 13 | 2023 | 0 |
About Dan Sha
Dan Sha is a scholar working on Molecular Biology, Infectious Diseases, Endocrinology, Food Science and Surgery, having authored 13 papers that have together received 281 indexed citations. Recurring topics across this work include Salmonella and Campylobacter epidemiology (3 papers), Viral gastroenteritis research and epidemiology (3 papers), Colorectal Cancer Surgical Treatments (2 papers), Colorectal Cancer Treatments and Studies (2 papers), Ubiquitin and proteasome pathways (2 papers), RNA modifications and cancer (2 papers), Gastric Cancer Management and Outcomes (2 papers) and Cholangiocarcinoma and Gallbladder Cancer Studies (1 paper). The work is most often cited by research in Neurology (80 citations), Cancer Research (38 citations), Epidemiology (83 citations), Endocrinology (11 citations) and Oncology (54 citations). Dan Sha has collaborated with scholars based in China, United States and Taiwan. Frequent co-authors include Lian Li, Lih‐Shen Chin, Steven R. Alberts, Qian Shi, Frank A. Sinicrope, Nathan R. Foster, Thomas C. Smyrk, Daniel J. Sargent, Adam M. Lee and Robert B. Diasio. Their work appears in journals such as Frontiers in Cellular and Infection Microbiology, Journal of Clinical Oncology, Clinical Cancer Research, Human Molecular Genetics and Frontiers in Immunology.
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.