Constance H. Li

15.9k total citations
10 papers, 268 citations indexed

About

Constance H. Li is a scholar working on Molecular Biology, Cancer Research and Oncology. According to data from OpenAlex, Constance H. Li has authored 10 papers receiving a total of 268 indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Molecular Biology, 4 papers in Cancer Research and 3 papers in Oncology. Recurrent topics in Constance H. Li's work include Cancer Genomics and Diagnostics (4 papers), Radiomics and Machine Learning in Medical Imaging (2 papers) and Single-cell and spatial transcriptomics (2 papers). Constance H. Li is often cited by papers focused on Cancer Genomics and Diagnostics (4 papers), Radiomics and Machine Learning in Medical Imaging (2 papers) and Single-cell and spatial transcriptomics (2 papers). Constance H. Li collaborates with scholars based in Canada, Singapore and United States. Constance H. Li's co-authors include Paul C. Boutros, Syed Haider, Kevin Thai, Yu-Jia Shiah, N. Gopalakrishna Iyer, Lisda Suteja, Daniel S.W. Tan, Camille Arcinas, Owen J. L. Rackham and Subhra K. Biswas and has published in prestigious journals such as Nature, Nature Communications and Cancer Research.

In The Last Decade

Constance H. Li

8 papers receiving 267 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Constance H. Li Canada	7	119	110	75	56	48	10	268
Jolijn W. Groeneweg Netherlands	10	162 1.4×	98 0.9×	71 0.9×	21 0.4×	42 0.9×	22	311
Jennifer D. Morrissette United States	7	156 1.3×	88 0.8×	57 0.8×	41 0.7×	39 0.8×	11	311
Weiqing Lu China	5	185 1.6×	96 0.9×	104 1.4×	48 0.9×	38 0.8×	8	278
Diana Nariţa Romania	10	80 0.7×	110 1.0×	62 0.8×	47 0.8×	41 0.9×	15	236
Apostolos C Ziogas Greece	5	122 1.0×	148 1.3×	50 0.7×	96 1.7×	42 0.9×	32	315
Leutz Buon United States	10	241 2.0×	133 1.2×	44 0.6×	56 1.0×	29 0.6×	28	368
Patricia Kropf United States	9	193 1.6×	59 0.5×	32 0.4×	49 0.9×	25 0.5×	26	341
Nozomi Yachida Japan	9	106 0.9×	66 0.6×	47 0.6×	117 2.1×	20 0.4×	19	357
Amanda J. Saraf United States	6	147 1.2×	88 0.8×	106 1.4×	36 0.6×	84 1.8×	19	299
A.M. Newtson United States	11	124 1.0×	82 0.7×	128 1.7×	26 0.5×	20 0.4×	28	300

Countries citing papers authored by Constance H. Li

Since Specialization

Citations

This map shows the geographic impact of Constance H. Li'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 Constance H. Li with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Constance H. Li more than expected).

Fields of papers citing papers by Constance H. Li

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Constance H. Li. 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 Constance H. Li. The network helps show where Constance H. Li may publish in the future.

Co-authorship network of co-authors of Constance H. Li

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

All Works

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10 of 10 papers shown

Fox, Natalie S., et al.. (2024). iSubGen generates integrative disease subtypes by pairwise similarity assessment. Cell Reports Methods. 4(11). 100884–100884.

Wong, G, Constance H. Li, Melvin L.K. Chua, et al.. (2024). Use of Natural Language Processing to Infer Sites of Metastatic Disease From Radiology Reports at Scale. JCO Clinical Cancer Informatics. 8(8). e2300122–e2300122. 4 indexed citations

Zhao, Zixuan, Yunyun Wang, Constance H. Li, et al.. (2024). Bioengineered Hydrogels Recapitulate Fibroblast Heterogeneity in Cancer. Advanced Science. 11(20). e2307129–e2307129. 11 indexed citations

Lim, Wan‐Teck, Hsiang‐Fong Kao, Lisda Suteja, et al.. (2023). Clinical efficacy and biomarker analysis of dual PD-1/CTLA-4 blockade in recurrent/metastatic EBV-associated nasopharyngeal carcinoma. Nature Communications. 14(1). 2781–2781. 25 indexed citations

Cao, Elaine Yiqun, Lisda Suteja, Constance H. Li, et al.. (2023). Single cell analysis in head and neck cancer reveals potential immune evasion mechanisms during early metastasis. Nature Communications. 14(1). 1680–1680. 65 indexed citations

Li, Constance H., Syed Haider, & Paul C. Boutros. (2022). Age influences on the molecular presentation of tumours. Nature Communications. 13(1). 208–208. 46 indexed citations

Böttcher, René, Mariona Nadal‐Ribelles, Constance H. Li, et al.. (2022). Data-driven identification of inherent features of eukaryotic stress-responsive genes. NAR Genomics and Bioinformatics. 4(1). lqac018–lqac018. 6 indexed citations

Li, Constance H., et al.. (2020). Sex differences in oncogenic mutational processes. Nature. 6 indexed citations

Li, Constance H., Syed Haider, Yu-Jia Shiah, Kevin Thai, & Paul C. Boutros. (2018). Sex Differences in Cancer Driver Genes and Biomarkers. Cancer Research. 78(19). 5527–5537. 105 indexed citations

10.

Li, Constance H., Syed Haider, & Paul C. Boutros. (2016). Abstract 102: Pan-cancer analysis of sex differences in somatic mutation profiles. Cancer Research. 76(14_Supplement). 102–102.

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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