Liliana E. Lucca

1.6k total citations
21 papers, 733 citations indexed

About

Liliana E. Lucca is a scholar working on Immunology, Oncology and Genetics. According to data from OpenAlex, Liliana E. Lucca has authored 21 papers receiving a total of 733 indexed citations (citations by other indexed papers that have themselves been cited), including 18 papers in Immunology, 12 papers in Oncology and 4 papers in Genetics. Recurrent topics in Liliana E. Lucca's work include Immune Cell Function and Interaction (13 papers), Cancer Immunotherapy and Biomarkers (10 papers) and T-cell and B-cell Immunology (9 papers). Liliana E. Lucca is often cited by papers focused on Immune Cell Function and Interaction (13 papers), Cancer Immunotherapy and Biomarkers (10 papers) and T-cell and B-cell Immunology (9 papers). Liliana E. Lucca collaborates with scholars based in United States, France and Austria. Liliana E. Lucca's co-authors include Margarita Dominguez‐Villar, David A. Hafler, Khadir Raddassi, Pierre‐Paul Axisa, Benjamin A. Lerner, Murat Günel, Amanda Hernandez, Daniel E. Lowther, Vlad Coric and J. Christopher Love and has published in prestigious journals such as Journal of Clinical Investigation, The Journal of Experimental Medicine and Blood.

In The Last Decade

Liliana E. Lucca

20 papers receiving 719 citations

Peers

Liliana E. Lucca

IMMUN

ONCOL

GENET

PRM

Guranda Chitadze Germany

Jérôme Mastio United States

Yuchun Nie United States

Vadim Y. Taraban United Kingdom

Élodie Picarda France

Jesse Kresak United States

Susanna Lewén United States

Byung-il Choi South Korea

Erika Falisi Italy

Mirjam R. Britschgi Switzerland

Guranda Chitadze Germany

Liliana E. Lucca

479 ×0.9

IMMUN

320 ×0.8

ONCOL

150 ×1.3

62 ×0.8

GENET

26 ×0.5

PRM

Citations per year, relative to Liliana E. Lucca Liliana E. Lucca (= 1×) peers Guranda Chitadze

Countries citing papers authored by Liliana E. Lucca

Since Specialization

Citations

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

Fields of papers citing papers by Liliana E. Lucca

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Liliana E. Lucca. 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 Liliana E. Lucca. The network helps show where Liliana E. Lucca may publish in the future.

Co-authorship network of co-authors of Liliana E. Lucca

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

All Works

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20 of 20 papers shown

Blanquart, Eve, Virginie Baylot, Marine Cuisinier, et al.. (2024). NK cells with adhesion defects and reduced cytotoxic functions are associated with a poor prognosis in multiple myeloma. Blood. 144(12). 1271–1283. 4 indexed citations

Mann, Jacqueline E., Liliana E. Lucca, Ross D. Merkin, et al.. (2023). ScRNA-seq defines dynamic T-cell subsets in longitudinal colon and peripheral blood samples in immune checkpoint inhibitor-induced colitis. Journal for ImmunoTherapy of Cancer. 11(8). e007358–e007358. 6 indexed citations

Mann, Jacqueline E., Liliana E. Lucca, Matthew Austin, et al.. (2023). Abstract 2268: Single cell RNA sequencing defines dynamic immune cell subsets in serial colon and peripheral blood samples in a patient with checkpoint inhibitor-induced colitis. Cancer Research. 83(7_Supplement). 2268–2268.

Axisa, Pierre‐Paul, Tomomi Yoshida, Liliana E. Lucca, et al.. (2022). A multiple sclerosis–protective coding variant reveals an essential role for HDAC7 in regulatory T cells. Science Translational Medicine. 14(675). eabl3651–eabl3651. 13 indexed citations

Pauken, Kristen E., Kaitlyn A. Lagattuta, Benjamin Y. Lu, et al.. (2022). TCR-sequencing in cancer and autoimmunity: barcodes and beyond. Trends in Immunology. 43(3). 180–194. 30 indexed citations

Kuchroo, Juhi R., David A. Hafler, Arlene H. Sharpe, & Liliana E. Lucca. (2021). The double-edged sword: Harnessing PD-1 blockade in tumor and autoimmunity. Science Immunology. 6(65). eabf4034–eabf4034. 33 indexed citations

Tran, Thuy, Chetan K. Rane, Christopher R. Zito, et al.. (2021). Clinical Significance of PDCD4 in Melanoma by Subcellular Expression and in Tumor-Associated Immune Cells. Cancers. 13(5). 1049–1049. 9 indexed citations

Omuro, Antonio, et al.. (2021). T cell dysfunction in glioblastoma: a barrier and an opportunity for the development of successful immunotherapies. Current Opinion in Neurology. 34(6). 827–833. 14 indexed citations

Omuro, Antonio, et al.. (2021). T cell dysfunction in glioblastoma: a barrier and an opportunity for the development of successful immunotherapies.. PubMed. 34(6). 827–833. 11 indexed citations

10.

Lucca, Liliana E., Pierre‐Paul Axisa, Benjamin Y. Lu, et al.. (2020). Circulating clonally expanded T cells reflect functions of tumor-infiltrating T cells. The Journal of Experimental Medicine. 218(4). 45 indexed citations

11.

Lucca, Liliana E. & Margarita Dominguez‐Villar. (2020). Modulation of regulatory T cell function and stability by co-inhibitory receptors. Nature reviews. Immunology. 20(11). 680–693. 138 indexed citations

12.

Lucca, Liliana E., Pierre‐Paul Axisa, Emily Singer, et al.. (2019). TIGIT signaling restores suppressor function of Th1 Tregs. JCI Insight. 4(3). 100 indexed citations

13.

Rouquié, Nelly, et al.. (2017). Thymic-Specific Serine Protease Limits Central Tolerance and Exacerbates Experimental Autoimmune Encephalomyelitis. The Journal of Immunology. 199(11). 3748–3756. 11 indexed citations

14.

Goods, Brittany A., Amanda Hernandez, Daniel E. Lowther, et al.. (2017). Functional differences between PD-1+ and PD-1- CD4+ effector T cells in healthy donors and patients with glioblastoma multiforme. PLoS ONE. 12(9). e0181538–e0181538. 39 indexed citations

15.

Lucca, Liliana E. & David A. Hafler. (2017). Resisting fatal attraction: a glioma oncometabolite prevents CD8+ T cell recruitment. Journal of Clinical Investigation. 127(4). 1218–1220. 12 indexed citations

16.

Lucca, Liliana E. & David A. Hafler. (2017). Co‐inhibitory blockade while preserving tolerance: checkpoint inhibitors for glioblastoma. Immunological Reviews. 276(1). 9–25. 13 indexed citations

17.

Lucca, Liliana E., Nadège Carrié, Sabine Desbois, et al.. (2016). In situexpansion of T cells that recognize distinct self-antigens sustains autoimmunity in the CNS. Brain. 139(5). 1433–1446. 14 indexed citations

18.

Lowther, Daniel E., Brittany A. Goods, Liliana E. Lucca, et al.. (2016). PD-1 marks dysfunctional regulatory T cells in malignant gliomas. JCI Insight. 1(5). 185 indexed citations

19.

Lucca, Liliana E., Pierre‐Paul Axisa, Meryem Aloulou, et al.. (2016). Myelin oligodendrocyte glycoprotein induces incomplete tolerance of CD4⁺T cells specific for both a myelin and a neuronal self‐antigen in mice. European Journal of Immunology. 46(9). 2247–2259. 13 indexed citations

20.

Lucca, Liliana E., Sabine Desbois, Avraham Ben‐Nun, et al.. (2014). Bispecificity for Myelin and Neuronal Self-Antigens Is a Common Feature of CD4 T Cells in C57BL/6 Mice. The Journal of Immunology. 193(7). 3267–3277. 14 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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