Lillian Seu

871 total citations
21 papers, 642 citations indexed

About

Lillian Seu is a scholar working on Virology, Immunology and Infectious Diseases. According to data from OpenAlex, Lillian Seu has authored 21 papers receiving a total of 642 indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Virology, 7 papers in Immunology and 6 papers in Infectious Diseases. Recurrent topics in Lillian Seu's work include HIV Research and Treatment (7 papers), Immune Cell Function and Interaction (6 papers) and HIV/AIDS Research and Interventions (3 papers). Lillian Seu is often cited by papers focused on HIV Research and Treatment (7 papers), Immune Cell Function and Interaction (6 papers) and HIV/AIDS Research and Interventions (3 papers). Lillian Seu collaborates with scholars based in United States, Zambia and Russia. Lillian Seu's co-authors include Joseph M. McCune, Jeff E. Mold, Jeffrey N. Martin, Steven G. Deeks, Peter W. Hunt, Yong Huang, Frederick Hecht, Margaret M. Lowe, P’ng Loke and Jason M. Brenchley and has published in prestigious journals such as SHILAP Revista de lepidopterología, The Journal of Immunology and PLoS ONE.

In The Last Decade

Lillian Seu

20 papers receiving 633 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Lillian Seu United States 10 239 219 178 145 136 21 642
Zhenwu Luo United States 16 193 0.8× 211 1.0× 215 1.2× 117 0.8× 53 0.4× 43 637
Johan Söderlund Sweden 14 91 0.4× 208 0.9× 234 1.3× 67 0.5× 153 1.1× 23 928
Kishanda Vyboh Canada 12 285 1.2× 162 0.7× 234 1.3× 225 1.6× 73 0.5× 19 694
Jennifer Kelschenbach United States 13 261 1.1× 87 0.4× 149 0.8× 60 0.4× 48 0.4× 19 555
E.M.E. Burudi United States 8 184 0.8× 131 0.6× 65 0.4× 73 0.5× 83 0.6× 10 430
Valerie Wojna Puerto Rico 17 614 2.6× 77 0.4× 226 1.3× 228 1.6× 135 1.0× 45 960
Clifford Lane United States 9 320 1.3× 125 0.6× 57 0.3× 283 2.0× 67 0.5× 13 626
Amber Steele United States 12 205 0.9× 136 0.6× 323 1.8× 69 0.5× 35 0.3× 20 724
Josué Pérez‐Santiago United States 19 453 1.9× 73 0.3× 321 1.8× 382 2.6× 73 0.5× 47 932
Jean-François Zagury France 14 438 1.8× 474 2.2× 170 1.0× 129 0.9× 94 0.7× 19 903

Countries citing papers authored by Lillian Seu

Since Specialization
Citations

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

Fields of papers citing papers by Lillian Seu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Lillian Seu

This figure shows the co-authorship network connecting the top 25 collaborators of Lillian Seu. A scholar is included among the top collaborators of Lillian Seu 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 Lillian Seu. Lillian Seu 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.
Carvalho, Larissa Anastácio da Costa, Nataliya Tovbis Shifrin, Michael F. Emmons, et al.. (2025). RAS(ON) Multiselective Inhibition Drives Antitumor Immunity in Preclinical Models of NRAS-Mutant Melanoma. Cancer Immunology Research. 14(1). 90–106.
2.
Ménard, Marie, Lilit Grigoryan, Jasmine Lee, et al.. (2025). Abstract PR012: The RAS(ON) G12D-selective inhibitor RMC-9805 synergizes with anti-PD-1 to extend durability of antitumor activity in KRAS G12D-driven preclinical cancer models. Cancer Immunology Research. 13(2_Supplement). PR012–PR012. 1 indexed citations
3.
4.
Agarwal, Kosh, Man‐Fung Yuen, Heiner Wedemeyer, et al.. (2022). Dose-dependent durability of hepatitis B surface antigen reductions following administration of a single dose of VIR-3434, a novel neutralizing vaccinal monoclonal antibody. Journal of Hepatology. 77. S831–S832. 8 indexed citations
5.
Seu, Lillian, Alexandra Duverger, Frederic H. Wagner, et al.. (2020). The tetraspanin CD151 marks a unique population of activated human T cells. Scientific Reports. 10(1). 15748–15748. 9 indexed citations
6.
Seu, Lillian, James A. Mobley, & Paul A. Goepfert. (2017). CD4 + T cells from HIV-1 patients with impaired Th1 effector responses to Mycobacterium tuberculosis exhibit diminished histone and nucleoprotein signatures. Clinical Immunology. 181. 16–23. 3 indexed citations
7.
Seu, Lillian, Laura Timares, Alexandra Duverger, et al.. (2017). CD151 Expression Is Associated with a Hyperproliferative T Cell Phenotype. The Journal of Immunology. 199(9). 3336–3347. 10 indexed citations
8.
Seu, Lillian, et al.. (2016). The tetraspanin CD151 is an activation molecule that characterizes M. tuberculosis- specific effector CD4+ T cells. The Journal of Immunology. 196(1_Supplement). 65.9–65.9. 2 indexed citations
9.
Seu, Lillian, Steffanie Sabbaj, Alexandra Duverger, et al.. (2015). Stable Phenotypic Changes of the Host T Cells Are Essential to the Long-Term Stability of Latent HIV-1 Infection. Journal of Virology. 89(13). 6656–6672. 17 indexed citations
10.
11.
Seu, Lillian, et al.. (2014). Single genome amplification of proviral HIV-1 DNA from dried blood spot specimens collected during early infant screening programs in Lusaka, Zambia. Journal of Virological Methods. 203. 97–101. 5 indexed citations
12.
Seu, Lillian, Gabriel M. Ortiz, Trevor D. Burt, et al.. (2014). Levels of circulating myeloid subpopulations and of heme oxygenase-1 do not predict CD4+ T cell recovery after the initiation of antiretroviral therapy for HIV disease. AIDS Research and Therapy. 11(1). 27–27. 2 indexed citations
13.
Bearnot, Benjamin, Brian S. Barnett, Eva H. Clark, et al.. (2014). Global Health Research in Narrative: A Qualitative Look at the FICRS-F Experience. American Journal of Tropical Medicine and Hygiene. 91(5). 863–868. 8 indexed citations
14.
Seu, Lillian, Gabriel M. Ortiz, Lorrie Epling, et al.. (2013). Higher CD27+CD8+ T Cells Percentages during Suppressive Antiretroviral Therapy Predict Greater Subsequent CD4+ T Cell Recovery in Treated HIV Infection. PLoS ONE. 8(12). e84091–e84091. 7 indexed citations
15.
16.
Favre, David, Jeff E. Mold, Peter W. Hunt, et al.. (2010). Tryptophan Catabolism by Indoleamine 2,3-Dioxygenase 1 Alters the Balance of T H 17 to Regulatory T Cells in HIV Disease. Science Translational Medicine. 2(32). 32ra36–32ra36. 423 indexed citations
17.
Burt, Trevor D., Lillian Seu, Jeff E. Mold, Attallah Kappas, & Joseph M. McCune. (2010). Naive Human T Cells Are Activated and Proliferate in Response to the Heme Oxygenase-1 Inhibitor Tin Mesoporphyrin. The Journal of Immunology. 185(9). 5279–5288. 32 indexed citations
18.
19.
Seu, Lillian & Geoffrey S. Pitt. (2006). Dose-dependent and Isoform-specific Modulation of Ca2+ Channels by RGK GTPases. The Journal of General Physiology. 128(5). 605–613. 29 indexed citations
20.
Seu, Lillian & Vincent P. Ferrera. (2001). Detection thresholds for spiral Glass patterns. Vision Research. 41(28). 3785–3790. 35 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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