Diying Shen
- Pathology and Forensic Medicine top 0.5%
- Oncology top 2%
- Genetics top 0.5%
- Radiology, Nuclear Medicine and Imaging top 1%
- Immunology top 5%
- Co-authors
- A.J. Grillo-LópezPeter McLaughlinIsabelle Bence‐BrucklerM. S. CzuczmanB.K. DallaireChristine A. WhiteMichael E. WilliamsVinay Jain
- Topics
- Acute Lymphoblastic Leukemia research (9 papers)CAR-T cell therapy research (6 papers)Childhood Cancer Survivors' Quality of Life (5 papers)
- Partner nations
- ChinaUnited StatesRussia
In The Last Decade
Diying Shen
30 papers receiving 2.9k citations
Hit Papers
Peers
Comparison fields: 5 of 95
- Pathology and Forensic Medicine 1.7k
- Oncology 1.2k
- Genetics 1.2k
- Radiology, Nuclear Medicine and Imaging 1.1k
- Immunology 905
Countries citing papers authored by Diying Shen
This map shows the geographic impact of Diying 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 Diying Shen with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Diying Shen more than expected).
Fields of papers citing papers by Diying Shen
This network shows the impact of papers produced by Diying 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 Diying Shen. The network helps show where Diying Shen may publish in the future.
Co-authorship network of co-authors of Diying Shen
This figure shows the co-authorship network connecting the top 25 collaborators of Diying Shen. A scholar is included among the top collaborators of Diying Shen based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Diying Shen. Diying Shen is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 0 | |
| 2 | 1 | |
| 3 | 0 | |
| 4 | 2 | |
| 5 | 2 | |
| 6 | 10 | |
| 7 | 1 | |
| 8 | 8 | |
| 9 | 28 | |
| 10 | 5 | |
| 11 | 2 | |
| 12 | 6 | |
| 13 | 48 | |
| 14 | 5 | |
| 15 | 2 | |
| 16 | 2 | |
| 17 | 1 | |
| 18 | 17 | |
| 19 | 444 | |
| 20 | Rituximab chimeric anti-CD20 monoclonal antibody therapy for relapsed indolent lymphoma: half of patients respond to a four-dose treatment program.breakdown → | 2153 |
About Diying Shen
Diying Shen is a scholar working on Hematology, Clinical Biochemistry and Public Health, Environmental and Occupational Health, having authored 34 papers that have together received 3.0k indexed citations. Recurring topics across this work include Acute Lymphoblastic Leukemia research (9 papers), CAR-T cell therapy research (6 papers) and Childhood Cancer Survivors' Quality of Life (5 papers). The work is most often cited by research in Genetics (1.2k citations), Pathology and Forensic Medicine (1.7k citations) and Radiology, Nuclear Medicine and Imaging (1.1k citations). Diying Shen has collaborated with scholars based in China, United States and Russia. Frequent co-authors include A.J. Grillo-López, Peter McLaughlin, Isabelle Bence‐Bruckler, M. S. Czuczman, B.K. Dallaire, Christine A. White, Michael E. Williams, Vinay Jain, Ronald Levy and Fernando Cabanillas. Their work appears in journals such as Nature Communications, Journal of Clinical Oncology and Annals of Oncology.
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.