Qi Shen
Impact in
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- Lung Cancer Research Studies
Papers in
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- Genomics and Phylogenetic Studies 2
- Oncology 9
- Co-authors
- Bin Zhao (1 shared paper)Xiao Xie (1 shared paper)Haiqiang Guo (1 shared paper)Zutao Ouyang (1 shared paper)Gerald I. Shulman (1 shared paper)Mark D. Leibowitz (1 shared paper)Peter J. Davies (1 shared paper)Gary W. Cline (1 shared paper)
- Journals
- Frontiers in Cellular and Infection Microbiology (2 papers)European Journal of Pharmaceutical Sciences (2 papers)Endocrinology (2 papers)Cytometry Part B Clinical Cytometry (2 papers)Phytomedicine (2 papers)
- Partner nations
- ChinaUnited StatesIndia
In The Last Decade
Qi Shen
42 papers receiving 614 citations
Peers
Comparison fields: 5 of 110
- Cancer Research 82
- Oncology 142
- Genetics 52
- Hematology 48
- Endocrinology, Diabetes and Metabolism 69
Countries citing papers authored by Qi Shen
This map shows the geographic impact of Qi Shen'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 Qi Shen with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Qi Shen more than expected).
Fields of papers citing papers by Qi Shen
This network shows the impact of papers produced by Qi Shen. 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 Qi Shen. The network helps show where Qi Shen may publish in the future.
Co-authors
The 25 scholars most cited alongside Qi Shen, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 46 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2011 | 96 | |
| 2 | 2015 | 62 | |
| 3 | 2004 | 49 | |
| 4 | 2007 | 48 | |
| 5 | 2004 | 47 | |
| 6 | 2019 | 38 | |
| 7 | 2019 | 33 | |
| 8 | 2014 | 24 | |
| 9 | Multicentric hepatic EBV-associated smooth muscle tumors in an AIDS patient: a case report, investigation of mTOR activation and review of the literature. | 2011 | 22 |
| 10 | 2017 | 20 | |
| 11 | 2013 | 18 | |
| 12 | 2019 | 17 | |
| 13 | 2022 | 13 | |
| 14 | 2022 | 12 | |
| 15 | 2017 | 11 | |
| 16 | 2020 | 11 | |
| 17 | 2022 | 10 | |
| 18 | 2022 | 10 | |
| 19 | 2018 | 7 | |
| 20 | 2020 | 7 |
About Qi Shen
Qi Shen is a scholar working on Molecular Biology, Oncology, Pathology and Forensic Medicine, Hematology and Pulmonary and Respiratory Medicine, having authored 46 papers that have together received 624 indexed citations. Recurring topics across this work include Lymphoma Diagnosis and Treatment (6 papers), Acute Myeloid Leukemia Research (4 papers), Multiple Myeloma Research and Treatments (3 papers), Lung Cancer Treatments and Mutations (3 papers), Myeloproliferative Neoplasms: Diagnosis and Treatment (2 papers), Genomics and Phylogenetic Studies (2 papers), Chronic Lymphocytic Leukemia Research (2 papers) and Tryptophan and brain disorders (2 papers). The work is most often cited by research in Cancer Research (82 citations), Oncology (142 citations), Genetics (52 citations), Hematology (48 citations) and Endocrinology, Diabetes and Metabolism (69 citations). Qi Shen has collaborated with scholars based in China, United States and India. Frequent co-authors include Bin Zhao, Xiao Xie, Haiqiang Guo, Zutao Ouyang, Gerald I. Shulman, Mark D. Leibowitz, Peter J. Davies, Gary W. Cline, Dima Suki and Kenneth Aldape. Their work appears in journals such as Frontiers in Cellular and Infection Microbiology, European Journal of Pharmaceutical Sciences, Endocrinology, Cytometry Part B Clinical Cytometry and Phytomedicine.
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.