Qi Shen

45 papers receiving 654 citations

Peers

Qi Shen
Comparison fields: 5 of 104
  • Cancer Research 77
  • Hematology 52
  • Oncology 113
  • Genetics 44
  • Endocrinology, Diabetes and Metabolism 66
Replace Rita Carmona with:
Rita Carmona Spain
P. Gais Germany
Guowei Xia China
Margaret Roy United States
Eleonora Mangano Italy
Robert J. Dalton United States
Jing Bao China
Mette K. Hagensen Denmark
Takahiro Tsujikawa Japan
Qi Shen relative to Rita Carmona Spain Rita Carmona's profile →
Citations per field
00.5×3.9×
Rita Carmona · 1×
Citations per year

Countries citing papers authored by Qi Shen

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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.

Border = papers with Qi Shen Line = papers co-authored together Qi Shen links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 48 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2011100
2 201564
3 200450
4 200750
5 200449
6 201940
7 201934
8 201427
9
Multicentric hepatic EBV-associated smooth muscle tumors in an AIDS patient: a case report, investigation of mTOR activation and review of the literature.
201122
10 201722
11 201319
12 201918
13 202214
14 202213
15 201711
16 202011
17 202210
18 202210
19 20218
20 20208

About Qi Shen

Qi Shen is a scholar working on Molecular Biology, Pathology and Forensic Medicine, Oncology, Hematology and Artificial Intelligence, having authored 48 papers that have together received 666 indexed citations. Recurring topics across this work include Lymphoma Diagnosis and Treatment (6 papers), Multiple Myeloma Research and Treatments (3 papers), Acute Myeloid Leukemia Research (3 papers), Retinoids in leukemia and cellular processes (2 papers), Metabolism, Diabetes, and Cancer (2 papers), Myeloproliferative Neoplasms: Diagnosis and Treatment (2 papers), Growth Hormone and Insulin-like Growth Factors (2 papers) and Gastrointestinal Tumor Research and Treatment (2 papers). The work is most often cited by research in Cancer Research (77 citations), Hematology (52 citations), Oncology (113 citations), Genetics (44 citations) and Endocrinology, Diabetes and Metabolism (66 citations). Qi Shen has collaborated with scholars based in China, United States and India. Frequent co-authors include Bin Zhao, Zutao Ouyang, Haiqiang Guo, Xiao Xie, Gary W. Cline, Mark D. Leibowitz, Gerald I. Shulman, Peter J. Davies, Nuhad K. Ibrahim and Raymond Sawaya. Their work appears in journals such as Phytomedicine, Frontiers in Oncology, Frontiers in Cellular and Infection Microbiology, Cytometry Part B Clinical Cytometry and European Journal of Pharmaceutical Sciences.

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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