Ruoshi Shi
Impact in
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- Cancer Cells and Metastasis
- Lung Cancer Research Studies
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- Cancer Genomics and Diagnostics
Papers in
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- Pain Mechanisms and Treatments 2
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- Epigenetics and DNA Methylation 1
- Heat shock proteins research 1
- Co-authors
- Ming‐Sound Tsao (5 shared papers)Nhu‐An Pham (5 shared papers)Nadeem Moghal (3 shared papers)Michael Cabanero (3 shared papers)Vibha Raghavan (3 shared papers)Geoffrey Liu (3 shared papers)Arvind Singh Mer (1 shared paper)Laura Tamblyn (1 shared paper)
- Journals
- Clinical Cancer Research (3 papers)Neuroreport (1 paper)The North American Journal of Economics and Finance (1 paper)Biochemical and Biophysical Research Communications (1 paper)Lung Cancer (1 paper)
- Partner nations
- ChinaCanadaUnited States
In The Last Decade
Ruoshi Shi
10 papers receiving 329 citations
Peers
Comparison fields: 5 of 55
- Oncology 165
- Cancer Research 78
- Biotechnology 34
- Pulmonary and Respiratory Medicine 90
- Developmental Neuroscience 9
Countries citing papers authored by Ruoshi Shi
This map shows the geographic impact of Ruoshi Shi'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 Ruoshi Shi with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Ruoshi Shi more than expected).
Fields of papers citing papers by Ruoshi Shi
This network shows the impact of papers produced by Ruoshi Shi. 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 Ruoshi Shi. The network helps show where Ruoshi Shi may publish in the future.
Co-authors
The 25 scholars most cited alongside Ruoshi Shi, 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 | 2019 | 216 | |
| 2 | 2020 | 33 | |
| 3 | 2018 | 20 | |
| 4 | 2016 | 19 | |
| 5 | 2024 | 12 | |
| 6 | 2016 | 12 | |
| 7 | 2017 | 10 | |
| 8 | 2018 | 8 | |
| 9 | 2016 | 4 | |
| 10 | 2016 | 1 | |
| 11 | 2022 | 0 | |
| 12 | 2025 | 0 |
About Ruoshi Shi
Ruoshi Shi is a scholar working on Physiology, Molecular Biology, Cellular and Molecular Neuroscience, Pulmonary and Respiratory Medicine and Surgery, having authored 12 papers that have together received 335 indexed citations. Recurring topics across this work include Lung Cancer Treatments and Mutations (2 papers), Pain Mechanisms and Treatments (2 papers), Stochastic processes and financial applications (1 paper), Neurogenesis and neuroplasticity mechanisms (1 paper), Epigenetics and DNA Methylation (1 paper), Cancer Genomics and Diagnostics (1 paper), Heat shock proteins research (1 paper) and Nerve injury and regeneration (1 paper). The work is most often cited by research in Oncology (165 citations), Cancer Research (78 citations), Biotechnology (34 citations), Pulmonary and Respiratory Medicine (90 citations) and Developmental Neuroscience (9 citations). Ruoshi Shi has collaborated with scholars based in China, Canada and United States. Frequent co-authors include Ming‐Sound Tsao, Nhu‐An Pham, Nadeem Moghal, Michael Cabanero, Vibha Raghavan, Geoffrey Liu, Arvind Singh Mer, Laura Tamblyn, Hirotsugu Notsuda and Nikolina Radulovich. Their work appears in journals such as Clinical Cancer Research, Neuroreport, The North American Journal of Economics and Finance, Biochemical and Biophysical Research Communications and Lung 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.