Jason Li

12.8k total citations
223 papers, 6.2k citations indexed

About

Jason Li is a scholar working on Molecular Biology, Artificial Intelligence and Cancer Research. According to data from OpenAlex, Jason Li has authored 223 papers receiving a total of 6.2k indexed citations (citations by other indexed papers that have themselves been cited), including 48 papers in Molecular Biology, 32 papers in Artificial Intelligence and 32 papers in Cancer Research. Recurrent topics in Jason Li's work include Cancer Genomics and Diagnostics (27 papers), Complexity and Algorithms in Graphs (19 papers) and Advanced Graph Theory Research (13 papers). Jason Li is often cited by papers focused on Cancer Genomics and Diagnostics (27 papers), Complexity and Algorithms in Graphs (19 papers) and Advanced Graph Theory Research (13 papers). Jason Li collaborates with scholars based in United States, Australia and Canada. Jason Li's co-authors include Saman Halgamuge, Ian Campbell, Xiao Yu Wu, Alexander Tchekhovskoy, Richard W. Tothill, Kaushalya Amarasinghe, Georgina L. Ryland, Maria Doyle, Kylie L. Gorringe and Anatoly Spitkovsky and has published in prestigious journals such as Advanced Materials, Journal of Clinical Investigation and Nature Communications.

In The Last Decade

Jason Li

210 papers receiving 6.1k citations

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author Last Decade Papers Cites
Jason Li 2.2k 1.1k 1.0k 687 614 223 6.2k
Kevin Lin 4.2k 1.9× 1.0k 0.9× 1.4k 1.4× 630 0.9× 1.4k 2.2× 333 12.8k
Annette M. Molinaro 2.7k 1.2× 1.7k 1.5× 1.5k 1.5× 1.7k 2.5× 507 0.8× 222 9.3k
Hua Liu 3.4k 1.6× 781 0.7× 1.1k 1.0× 426 0.6× 1.4k 2.3× 308 10.4k
Andrzej Maćkiewicz 2.8k 1.3× 720 0.6× 1.9k 1.9× 376 0.5× 344 0.6× 196 6.7k
Se Hoon Kim 4.8k 2.2× 1.4k 1.2× 1.8k 1.7× 1.7k 2.5× 1.4k 2.3× 771 18.5k
Kai Ye 5.1k 2.3× 2.4k 2.1× 1.6k 1.6× 845 1.2× 560 0.9× 190 10.8k
Richard Kinh Gian 2.1k 1.0× 934 0.8× 3.0k 2.9× 1.6k 2.4× 925 1.5× 217 12.4k
TL Lee 2.7k 1.3× 1.0k 0.9× 635 0.6× 432 0.6× 205 0.3× 136 5.3k
Isao Hara 2.9k 1.3× 1.1k 1.0× 2.3k 2.2× 2.7k 3.9× 435 0.7× 498 9.2k
Matija Snuderl 3.2k 1.5× 2.2k 1.9× 2.2k 2.1× 1.4k 2.0× 1.2k 1.9× 188 9.2k

Countries citing papers authored by Jason Li

Since Specialization
Citations

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

Fields of papers citing papers by Jason Li

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Jason Li

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

All Works

20 of 20 papers shown
1.
Fedele, Clare G., Ralph Rossi, Jason Li, et al.. (2025). Prospective Isolation According to Melanin Pigment Content of Melanoma Cells With Heterogeneous Potentials for Disease Propagation. Pigment Cell & Melanoma Research. 38(4). e70011–e70011. 1 indexed citations
2.
Chahine, Yaacoub, Romanos Haykal, Jason Li, et al.. (2025). Atrial fibrillation is associated with higher oxygen extraction in the human heart. American Heart Journal. 287. 130–137.
3.
Ghosh, Subhankar, et al.. (2024). Improving Robustness of LLM-based Speech Synthesis by Learning Monotonic Alignment. 3425–3429. 1 indexed citations
4.
Thompson‬‬, Russell G., Jason Li, Ilse Castro-Aragon, et al.. (2024). FLUEnT: Transformer for detecting lung consolidations in videos using fused lung ultrasound encodings. Computers in Biology and Medicine. 180. 109014–109014. 2 indexed citations
5.
6.
Guo, Shanchun, et al.. (2023). STEM-21. DETERMINATION OF RACIAL DISPARITIES IN GLIOMA THROUGH RAP1B/NOTCH -INDUCED TUMORIGENESIS AND STEMNESS. Neuro-Oncology. 25(Supplement_5). v37–v37. 1 indexed citations
7.
Hagenbeek, Thijs J., Ho-June Lee, Jason Li, et al.. (2020). Machine-Learning and Chemicogenomics Approach Defines and Predicts Cross-Talk of Hippo and MAPK Pathways. Cancer Discovery. 11(3). 778–793. 37 indexed citations
8.
Kriman, Samuel, Stanislav Beliaev, Boris Ginsburg, et al.. (2020). Quartznet: Deep Automatic Speech Recognition with 1D Time-Channel Separable Convolutions. 6124–6128. 149 indexed citations
9.
Zhang, Xiaomeng, Youfang Zhang, Aishwarya Kulkarni, et al.. (2020). The Hippo pathway oncoprotein YAP promotes melanoma cell invasion and spontaneous metastasis. Oncogene. 39(30). 5267–5281. 61 indexed citations
10.
Huang, Wei, Mehdi Shishehbor, Nicolás Guarín‐Zapata, et al.. (2020). A natural impact-resistant bicontinuous composite nanoparticle coating. Nature Materials. 19(11). 1236–1243. 183 indexed citations
11.
Cohen-Addad, Vincent & Jason Li. (2019). On the Fixed-Parameter Tractability of Capacitated Clustering. DROPS (Schloss Dagstuhl – Leibniz Center for Informatics). 5 indexed citations
12.
Li, Na, Simone McInerny, Magnus Zethoven, et al.. (2019). Combined Tumor Sequencing and Case-Control Analyses of RAD51C in Breast Cancer. JNCI Journal of the National Cancer Institute. 111(12). 1332–1338. 23 indexed citations
13.
Kelly, Madison J., Joan So, Gareth P. Gregory, et al.. (2019). Bcor loss perturbs myeloid differentiation and promotes leukaemogenesis. Nature Communications. 10(1). 1347–1347. 44 indexed citations
14.
Gupta, Anupam, et al.. (2019). Losing tree-width by separating subsets. Symposium on Discrete Algorithms. 1731–1749. 1 indexed citations
15.
Sagduyu, Yalin E., et al.. (2018). Optimal Network-Centric Planning for Airborne Relay Communications. IEEE Systems Journal. 12(4). 3450–3460. 3 indexed citations
16.
Pearson, Helen, Jason Li, Valérie S. Méniel, et al.. (2018). Identification of Pik3ca Mutation as a Genetic Driver of Prostate Cancer That Cooperates with Pten Loss to Accelerate Progression and Castration-Resistant Growth. Cancer Discovery. 8(6). 764–779. 78 indexed citations
17.
Vidacs, Eva, Stephin J. Vervoort, Jason Li, et al.. (2017). HDAC Inhibitor Panobinostat Engages Host Innate Immune Defenses to Promote the Tumoricidal Effects of Trastuzumab in HER2+ Tumors. Cancer Research. 77(10). 2594–2606. 25 indexed citations
18.
Sinha, Devbarna, Lynn Chong, Joshy George, et al.. (2015). Pericytes Promote Malignant Ovarian Cancer Progression in Mice and Predict Poor Prognosis in Serous Ovarian Cancer Patients. Clinical Cancer Research. 22(7). 1813–1824. 25 indexed citations
19.
Lönnstedt, Ingrid, Franco Caramia, Jason Li, et al.. (2014). Deciphering clonality in aneuploid breast tumors using SNP array and sequencing data. Genome biology. 15(9). 470–470. 11 indexed citations
20.
Mar, Victoria, Stephen Q. Wong, Jason Li, et al.. (2013). BRAF/NRAS Wild-Type Melanomas Have a High Mutation Load Correlating with Histologic and Molecular Signatures of UV Damage. Clinical Cancer Research. 19(17). 4589–4598. 100 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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