Chulin Sha

976 total citations
14 papers, 69 citations indexed

About

Chulin Sha is a scholar working on Molecular Biology, Pathology and Forensic Medicine and Oncology. According to data from OpenAlex, Chulin Sha has authored 14 papers receiving a total of 69 indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Molecular Biology, 3 papers in Pathology and Forensic Medicine and 3 papers in Oncology. Recurrent topics in Chulin Sha's work include Lymphoma Diagnosis and Treatment (3 papers), Machine Learning in Materials Science (2 papers) and Computational Drug Discovery Methods (2 papers). Chulin Sha is often cited by papers focused on Lymphoma Diagnosis and Treatment (3 papers), Machine Learning in Materials Science (2 papers) and Computational Drug Discovery Methods (2 papers). Chulin Sha collaborates with scholars based in China, United Kingdom and United States. Chulin Sha's co-authors include Min He, Matthew A. Care, Xiaolin Li, Ziqi Liu, Reuben Tooze, Zhen Wang, David Cunningham, Andrew Jack, David R. Westhead and Sharon Barrans and has published in prestigious journals such as Journal of the American Chemical Society, Advanced Science and British Journal of Haematology.

In The Last Decade

Chulin Sha

10 papers receiving 68 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Chulin Sha China 6 30 25 17 16 13 14 69
Daniela Richter Germany 5 59 2.0× 7 0.3× 21 1.2× 7 0.4× 2 0.2× 6 102
Amy Saur United States 4 36 1.2× 18 0.7× 16 0.9× 5 0.3× 25 1.9× 5 62
Pelin Golforoush United Kingdom 4 67 2.2× 12 0.5× 8 0.5× 7 0.4× 2 0.2× 8 130
Tongqi Qian United States 5 40 1.3× 10 0.4× 4 0.2× 16 1.0× 2 0.2× 7 107
Shailendra Lakhanpal United States 4 15 0.5× 8 0.3× 25 1.5× 4 0.3× 12 0.9× 17 62
Xue Zeng China 8 31 1.0× 7 0.3× 6 0.4× 5 0.3× 4 0.3× 13 103
Andrey Rymar United States 3 78 2.6× 30 1.2× 36 2.1× 15 0.9× 3 0.2× 4 92
Alexander Waldrop United States 4 28 0.9× 14 0.6× 33 1.9× 3 0.2× 5 0.4× 5 75
Melika Bonakdar Canada 3 30 1.0× 11 0.4× 22 1.3× 2 0.1× 3 0.2× 4 57

Countries citing papers authored by Chulin Sha

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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-authorship network of co-authors of Chulin Sha

This figure shows the co-authorship network connecting the top 25 collaborators of Chulin Sha. A scholar is included among the top collaborators of Chulin Sha 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 Chulin Sha. Chulin Sha is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

14 of 14 papers shown
2.
3.
Tian, Xue‐Fei, Teng Yang, Yujie Dai, et al.. (2025). Lysosomal Cathepsin S Escape Facilitates Near Infrared Light‐Triggered Pyroptosis Via an Antibody‐Indocyanine Green Conjugate. Advanced Science. 12(34). e04851–e04851. 2 indexed citations
4.
Chen, Hao, et al.. (2025). DIA-TSK: A Dynamic Incremental Adaptive Takagi–Sugeno–Kang Fuzzy Classifier. Mathematics. 13(7). 1054–1054. 1 indexed citations
5.
Sha, Chulin, Husneara Rahman, Shangyi Liu, et al.. (2025). Surgical outcomes of smoking and nonsmoking women with lung adenocarcinoma. Journal of Thoracic Disease. 17(8). 5711–5719.
6.
Qian, Haifeng, Rihua Xu, Qiao Duan, et al.. (2025). Chemical Evolution of Double Covalent Aptamers for Sustained Protein Degradation and Improved Cytotoxicity in NK-Cell-Mediated Tumor Therapy. Journal of the American Chemical Society. 147(50). 45951–45965.
7.
Sha, Chulin, et al.. (2024). EGFR-Targeted Therapies: A Literature Review. Journal of Clinical Medicine. 13(21). 6391–6391. 5 indexed citations
8.
Wang, Zhen, et al.. (2024). DrugMetric: quantitative drug-likeness scoring based on chemical space distance. Briefings in Bioinformatics. 25(4). 21 indexed citations
9.
Li, Yanjun, Bowen Li, Yongrui Wang, et al.. (2023). BatmanNet: bi-branch masked graph transformer autoencoder for molecular representation. Briefings in Bioinformatics. 25(1). 8 indexed citations
10.
Davies, John R., Laura K. Hilton, Aixiang Jiang, et al.. (2023). Comparison of MHG and DZsig reveals shared biology and a core overlap group with inferior prognosis in DLBCL. Blood Advances. 7(20). 6156–6162. 5 indexed citations
13.
Glover, Paul, Chulin Sha, Matthew A. Care, et al.. (2020). Comparative analysis of gene expression platforms for cell‐of‐origin classification of diffuse large B‐cell lymphoma shows high concordance. British Journal of Haematology. 192(3). 599–604. 6 indexed citations
14.
Sha, Chulin, Sharon Barrans, Matthew A. Care, et al.. (2015). Transferring genomics to the clinic: distinguishing Burkitt and diffuse large B cell lymphomas. Genome Medicine. 7(1). 64–64. 18 indexed citations

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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