Chulin Sha
Impact in
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- Lymphoma Diagnosis and Treatment
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- Computational Drug Discovery Methods
Papers in
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- Lymphoma Diagnosis and Treatment 13
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- Computational Drug Discovery Methods 3
- Co-authors
- David R. Westhead (5 shared papers)Sharon Barrans (5 shared papers)Reuben M. Tooze (4 shared papers)Min He (2 shared papers)Xiaolin Li (4 shared papers)Ziqi Liu (1 shared paper)Zhen Wang (1 shared paper)Matthew A. Care (3 shared papers)
- Journals
- Hematological Oncology (3 papers)Journal of Clinical Oncology (2 papers)British Journal of Haematology (2 papers)Briefings in Bioinformatics (2 papers)Blood Advances (2 papers)
- Partner nations
- United KingdomChinaSwitzerland
In The Last Decade
Chulin Sha
18 papers receiving 776 citations
Peers
Comparison fields: 5 of 48
- Pathology and Forensic Medicine 617
- Computational Theory and Mathematics 36
- Health Informatics 4
- Oncology 35
- Cancer Research 20
Countries citing papers authored by Chulin Sha
This map shows the geographic impact of Chulin 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 Chulin Sha with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Chulin Sha more than expected).
Fields of papers citing papers by Chulin Sha
This network shows the impact of papers produced by Chulin 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 Chulin Sha. The network helps show where Chulin Sha may publish in the future.
Co-authors
The 25 scholars most cited alongside Chulin 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
Showing the 20 most-cited of 21 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2018 | 232 | |
| 2 | 2019 | 212 | |
| 3 | 2019 | 97 | |
| 4 | 2023 | 49 | |
| 5 | 2024 | 38 | |
| 6 | 2018 | 32 | |
| 7 | 2015 | 26 | |
| 8 | 2024 | 26 | |
| 9 | 2017 | 15 | |
| 10 | 2023 | 13 | |
| 11 | 2023 | 12 | |
| 12 | 2025 | 11 | |
| 13 | 2020 | 7 | |
| 14 | 2025 | 7 | |
| 15 | 2022 | 5 | |
| 16 | 2019 | 1 | |
| 17 | 2022 | 1 | |
| 18 | 2025 | 1 | |
| 19 | 2026 | 1 | |
| 20 | 2019 | 0 |
About Chulin Sha
Chulin Sha is a scholar working on Pathology and Forensic Medicine, Computational Theory and Mathematics, Molecular Biology, Cancer Research and Spectroscopy, having authored 21 papers that have together received 786 indexed citations. Recurring topics across this work include Lymphoma Diagnosis and Treatment (13 papers), Computational Drug Discovery Methods (3 papers), Advanced biosensing and bioanalysis techniques (2 papers), Bioinformatics and Genomic Networks (1 paper), RNA Interference and Gene Delivery (1 paper), Cancer Genomics and Diagnostics (1 paper), Monoclonal and Polyclonal Antibodies Research (1 paper) and Protein Degradation and Inhibitors (1 paper). The work is most often cited by research in Pathology and Forensic Medicine (617 citations), Computational Theory and Mathematics (36 citations), Health Informatics (4 citations), Oncology (35 citations) and Cancer Research (20 citations). Chulin Sha has collaborated with scholars based in United Kingdom, China and Switzerland. Frequent co-authors include David R. Westhead, Sharon Barrans, Reuben M. Tooze, Min He, Xiaolin Li, Ziqi Liu, Zhen Wang, Matthew A. Care, Andrew Jack and David Cunningham. Their work appears in journals such as Hematological Oncology, Journal of Clinical Oncology, British Journal of Haematology, Briefings in Bioinformatics and Blood Advances.
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.