Publications

Dr. Jun Li has published 74 peer-reviewed research articles and 2 book chapters, with a total of 32,076 citations and an H-index of 52. As first author, he has contributed to 12 high-impact publications (average journal impact factor: 29), including four in Cancer Cell (2021, 2020, 2018, 2017), and others in Nature Cancer (2024), Nature Communications (2025), Science Advances (2022), Cancer Research (2017, 2015), Nature Methods (2013), and Nucleic Acids Research (2012).

Selected Publications (*Equally contributed; For the full list, please refer to PubMed)

  1. Liu, W.*, Li, J.*, Tang, Y., Liu, C., Song, M., Ju, Z., Kumar, S.V., Lu, Y., Akbani, R., Mills, G., and Liang, H. (2025)
    DrBioRight 2.0: an LLM-powered bioinformatics chatbot for large-scale cancer functional proteomics analysis.
    Nature Communications 16(1):2256. doi: 10.1038/s41467-025-57430-4 [Link] [PDF]

  2. Li, J., Liu, W., Mojumdar, K., Kim, H., Zhou, Z., Ju, Z., Kumar, S.V., Ng, P.K., Davies, M.A., Lu, Y., Akbani, R., Mills, G.B., Liang, H. (2024)
    A protein expression atlas on tissue samples and cell lines from cancer patients provides insights into tumor heterogeneity and dependencies.
    Nature Cancer 5(10), 1579–1595. doi: 10.1038/s43018-024-00817-x [Link] [PDF]

  3. Li, J.*, Lu, H.*, Ng, P.K.*, Pantazi, A.*, Ip, C.K.M., Jeong, K.J., Amador, B., Tran, R., Tsang, Y.H., Yang, L., et al. (2022)
    A functional genomic approach to actionable gene fusions for precision oncology.
    Science Advances 8, eabm2382. doi: 10.1126/sciadv.abm2382 [Link] [PDF]

  4. Li, J.*, Chen, H.*, Wang, Y.*, Chen, M.M.*, and Liang, H. (2021)
    Next-Generation Analytics for Omics Data.
    Cancer Cell 39, 3–6. doi: 10.1016/j.ccell.2020.09.002 [Link] [PDF]

  5. Zhao, W.*, Li, J.*, Chen, M.M., Luo, Y., Ju, Z., Nesser, N.K., Johnson-Camacho, K., Boniface, C.T., Lawrence, Y., Pande, N.T., et al. (2020)
    Large-Scale Characterization of Drug Responses of Clinically Relevant Proteins in Cancer Cell Lines.
    Cancer Cell 38, 829–843.e4. doi: 10.1016/j.ccell.2020.10.008 [Link] [PDF]

  6. Chen, M.M.*, Li, J.*, Wang, Y., Akbani, R., Lu, Y., Mills, G.B., and Liang, H. (2019)
    TCPA v3.0: An Integrative Platform to Explore the Pan-Cancer Analysis of Functional Proteomic Data.
    Molecular & Cellular Proteomics 18, S15–S25. doi: 10.1074/mcp.RA118.001260 [Link] [PDF]

  7. Ng, P.K.*, Li, J.*, Jeong, K.J.*, Shao, S., Chen, H., Tsang, Y.H., Sengupta, S., Wang, Z., Bhavana, V.H., Tran, R., et al. (2018)
    Systematic Functional Annotation of Somatic Mutations in Cancer.
    Cancer Cell 33, 450–462.e10. doi: 10.1016/j.ccell.2018.01.021 [Link] [PDF]

  8. Li, J., Akbani, R., Zhao, W., Lu, Y., Weinstein, J.N., Mills, G.B., and Liang, H. (2017)
    Explore, Visualize, and Analyze Functional Cancer Proteomic Data Using the Cancer Proteome Atlas.
    Cancer Research 77, e51–e54. doi: 10.1158/0008-5472.CAN-17-0369 [Link] [PDF]

  9. Li, J.*, Zhao, W.*, Akbani, R., Liu, W., Ju, Z., Ling, S., Vellano, C.P., Roebuck, P., Yu, Q., Eterovic, A.K., et al. (2017)
    Characterization of Human Cancer Cell Lines by Reverse-phase Protein Arrays.
    Cancer Cell 31, 225–239. doi: 10.1016/j.ccell.2017.01.005 [Link] [PDF]

  10. Li, J.*, Han, L.*, Roebuck, P., Diao, L., Liu, L., Yuan, Y., Weinstein, J.N., and Liang, H. (2015)
    TANRIC: An Interactive Open Platform to Explore the Function of lncRNAs in Cancer.
    Cancer Research 75, 3728–3737. doi: 10.1158/0008-5472.CAN-15-0273 [Link] [PDF]

  11. Li, J.*, Lu, Y.*, Akbani, R., Ju, Z., Roebuck, P.L., Liu, W., Yang, J.Y., Broom, B.M., Verhaak, R.G., Kane, D.W., et al. (2013)
    TCPA: a resource for cancer functional proteomics data.
    Nature Methods 10, 1046–1047. doi: 10.1038/nmeth.2650 [Link] [PDF]

  12. Li, J., Roebuck, P., Grunewald, S., and Liang, H. (2012)
    SurvNet: a web server for identifying network-based biomarkers that most correlate with patient survival data.
    Nucleic Acids Research 40, W123–W126. doi: 10.1093/nar/gks386 [Link] [PDF]