Katherine Seiss

797 total citations
12 papers, 622 citations indexed

About

Katherine Seiss is a scholar working on Immunology, Virology and Epidemiology. According to data from OpenAlex, Katherine Seiss has authored 12 papers receiving a total of 622 indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Immunology, 8 papers in Virology and 4 papers in Epidemiology. Recurrent topics in Katherine Seiss's work include HIV Research and Treatment (8 papers), Immune Cell Function and Interaction (8 papers) and Cytomegalovirus and herpesvirus research (4 papers). Katherine Seiss is often cited by papers focused on HIV Research and Treatment (8 papers), Immune Cell Function and Interaction (8 papers) and Cytomegalovirus and herpesvirus research (4 papers). Katherine Seiss collaborates with scholars based in United States, Switzerland and Saudi Arabia. Katherine Seiss's co-authors include Mathias Lichterfeld, Xu G. Yu, Florencia Pereyra, Eric Rosenberg, Bruce D. Walker, María J. Buzón, Chun Li, Zhengyu Ouyang, Hong Sun and Enrique Martín‐Gayo and has published in prestigious journals such as Journal of Clinical Investigation, Nature Medicine and Cancer Research.

In The Last Decade

Katherine Seiss

12 papers receiving 619 citations

Peers

Katherine Seiss

VIROL

IMMUN

EPIDE

Amy Shaw United States

Luca Micci United States

Andrew M. Hebbeler United States

Sharon Shalekoff South Africa

Olivier Lambotte France

Michael Flanders United States

Mariam B. Lawani United States

Souheil-Antoine Younes United States

Alba Ruiz Spain

Isaiah Davis United States

Amy Shaw United States

Katherine Seiss

513 ×1.1

VIROL

258 ×0.7

IMMUN

325 ×1.3

121 ×1.3

EPIDE

46 ×0.7

Citations per year, relative to Katherine Seiss Katherine Seiss (= 1×) peers Amy Shaw

Countries citing papers authored by Katherine Seiss

Since Specialization

Citations

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

Fields of papers citing papers by Katherine Seiss

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Katherine Seiss

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

All Works

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12 of 12 papers shown

Seiss, Katherine, Laurent Laborde, Daniel Guthy, et al.. (2024). Design, Synthesis, and In Vitro and In Vivo Evaluation of Cereblon Binding Bruton’s Tyrosine Kinase (BTK) Degrader CD79b Targeted Antibody–Drug Conjugates. Bioconjugate Chemistry. 35(2). 140–146. 7 indexed citations

Liu, Siqi, Brian Granda, Rajiv Chopra, et al.. (2020). A CRISPR Screen Reveals Resistance Mechanisms to CD3-Bispecific Antibody Therapy. Cancer Immunology Research. 9(1). 34–49. 14 indexed citations

Tam, Angela, Katherine Seiss, Siqi Liu, et al.. (2019). Abstract 4743: Using genome-wide CRISPR screen to understand resistance mechanisms to PCA062, a P-cadherin targeting antibody-drug conjugate. Cancer Research. 79(13_Supplement). 4743–4743. 1 indexed citations

Buzón, María J., Hong Sun, Chun Li, et al.. (2014). HIV-1 persistence in CD4+ T cells with stem cell–like properties. Nature Medicine. 20(2). 139–142. 313 indexed citations

Buzón, María J., Yue Yang, Zhengyu Ouyang, et al.. (2013). Susceptibility to CD8 T-Cell–Mediated Killing Influences the Reservoir of Latently HIV-1–Infected CD4 T Cells. JAIDS Journal of Acquired Immune Deficiency Syndromes. 65(1). 1–9. 15 indexed citations

Huang, Jinghe, et al.. (2012). Systemic inhibition of myeloid dendritic cells by circulating HLA class I molecules in HIV-1 infection. Retrovirology. 9(1). 11–11. 10 indexed citations

Lichterfeld, Mathias, Thai Cung, Katherine Seiss, et al.. (2012). Shelterin Dysfunction and p16 ^INK4a -Mediated Growth Inhibition in HIV-1-Specific CD8 T Cells. Journal of Virology. 86(10). 5533–5540. 7 indexed citations

Chen, Huabiao, Chun Li, Jinghe Huang, et al.. (2011). CD4+ T cells from elite controllers resist HIV-1 infection by selective upregulation of p21. Journal of Clinical Investigation. 121(4). 1549–1560. 137 indexed citations

Huang, Jinghe, Yue Yang, Maha Al-Mozaini, et al.. (2011). Dendritic Cell Dysfunction During Primary HIV-1 Infection. The Journal of Infectious Diseases. 204(10). 1557–1562. 26 indexed citations

10.

Buzón, María J., Katherine Seiss, Robert H. Weiss, et al.. (2011). Inhibition of HIV-1 Integration in Ex Vivo -Infected CD4 T Cells from Elite Controllers. Journal of Virology. 85(18). 9646–9650. 41 indexed citations

11.

Williams, Katie, Katherine Seiss, Florencia Pereyra, et al.. (2010). Epigenetic regulation of telomerase expression in HIV-1-specific CD8+ T cells. AIDS. 24(12). 1964–1966. 8 indexed citations

12.

Huang, Jinghe, Patrick S. Burke, Yue Yang, et al.. (2010). Soluble HLA-G Inhibits Myeloid Dendritic Cell Function in HIV-1 Infection by Interacting with Leukocyte Immunoglobulin-Like Receptor B2. Journal of Virology. 84(20). 10784–10791. 43 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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