Olaf Kutsch

3.4k total citations
67 papers, 2.7k citations indexed

About

Olaf Kutsch is a scholar working on Virology, Infectious Diseases and Immunology. According to data from OpenAlex, Olaf Kutsch has authored 67 papers receiving a total of 2.7k indexed citations (citations by other indexed papers that have themselves been cited), including 38 papers in Virology, 31 papers in Infectious Diseases and 30 papers in Immunology. Recurrent topics in Olaf Kutsch's work include HIV Research and Treatment (38 papers), Immune Cell Function and Interaction (26 papers) and HIV/AIDS drug development and treatment (15 papers). Olaf Kutsch is often cited by papers focused on HIV Research and Treatment (38 papers), Immune Cell Function and Interaction (26 papers) and HIV/AIDS drug development and treatment (15 papers). Olaf Kutsch collaborates with scholars based in United States, Germany and Canada. Olaf Kutsch's co-authors include George M. Shaw, David N. Levy, Etty Benveniste, Grace M. Aldrovandi, Frank Wolschendorf, Jae‐Wook Oh, Alexandra Duverger, Avindra Nath, Frédéric Bibollet‐Ruche and Chulhee Choi and has published in prestigious journals such as Cell, Proceedings of the National Academy of Sciences and Journal of Clinical Investigation.

In The Last Decade

Olaf Kutsch

66 papers receiving 2.7k citations

Peers

Olaf Kutsch

VIROL

IMMUN

EPIDE

Yan Xu China

Yuntao Wu United States

Romas Geleziunas United States

Thomas Harrer Germany

Julie Strizki United States

Liping Wang China

Andrew J. Henderson United States

John C. Tilton United States

Udaykumar Ranga India

John T. West United States

Yan Xu China

Olaf Kutsch

1.1k ×0.8

VIROL

1.1k ×1.1

IMMUN

651 ×0.7

762 ×0.9

578 ×1.2

EPIDE

Citations per year, relative to Olaf Kutsch Olaf Kutsch (= 1×) peers Yan Xu

Countries citing papers authored by Olaf Kutsch

Since Specialization

Citations

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

Fields of papers citing papers by Olaf Kutsch

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Olaf Kutsch

This figure shows the co-authorship network connecting the top 25 collaborators of Olaf Kutsch. A scholar is included among the top collaborators of Olaf Kutsch 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 Olaf Kutsch. Olaf Kutsch 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

Pati, Sunil, et al.. (2024). Tissue-Resident CD8+ T Cells as Mediators of Protective Immunity in Breast Milk Transmission of Human Cytomegalovirus. The Journal of Infectious Diseases. 231(5). 1327–1335. 2 indexed citations

Peters, Brandilyn A., Jee‐Young Moon, David B. Hanna, et al.. (2021). T-Cell Immune Dysregulation and Mortality in Women With Human Immunodeficiency Virus. The Journal of Infectious Diseases. 225(4). 675–685. 3 indexed citations

Carlin, Eric, et al.. (2021). Extensive proteomic and transcriptomic changes quench the TCR/CD3 activation signal of latently HIV-1 infected T cells. PLoS Pathogens. 17(1). e1008748–e1008748. 7 indexed citations

Geng, Jianlin, Hairong Wei, Bi Shi, et al.. (2019). Bach2 Negatively Regulates T Follicular Helper Cell Differentiation and Is Critical for CD4+ T Cell Memory. The Journal of Immunology. 202(10). 2991–2998. 28 indexed citations

Thapa, Bindu, K Bahadur, Mary Hitt, et al.. (2019). Breathing New Life into TRAIL for Breast Cancer Therapy: Co-Delivery of pTRAIL and Complementary siRNAs Using Lipopolymers. Human Gene Therapy. 30(12). 1531–1546. 14 indexed citations

Zhang, Mingce, Tanya O. Robinson, Alexandra Duverger, et al.. (2018). Regulatory CD4 T cells inhibit HIV-1 expression of other CD4 T cell subsets via interactions with cell surface regulatory proteins. Virology. 516. 21–29. 5 indexed citations

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

Speer, Alexander, et al.. (2016). A Macrophage Infection Model to Predict Drug Efficacy Against Mycobacterium Tuberculosis. Assay and Drug Development Technologies. 14(6). 345–354. 16 indexed citations

Landry, Breanne, Hamidreza Montazeri Aliabadi, Hilal Gül-Uludağ, et al.. (2012). Effective Non-Viral Delivery of siRNA to Acute Myeloid Leukemia Cells with Lipid-Substituted Polyethylenimines. PLoS ONE. 7(8). e44197–e44197. 42 indexed citations

10.

Che, Pulin, Long Cui, Olaf Kutsch, Liwang Cui, & Qianjun Li. (2011). Validating a Firefly Luciferase-Based High-Throughput Screening Assay for Antimalarial Drug Discovery. Assay and Drug Development Technologies. 10(1). 61–68. 22 indexed citations

11.

Kehn‐Hall, Kylene, Irene Guendel, Lawrence Carpio, et al.. (2011). Inhibition of Tat-mediated HIV-1 replication and neurotoxicity by novel GSK3-beta inhibitors. Virology. 415(1). 56–68. 27 indexed citations

12.

Schleifman, Erica, Ranjit S. Bindra, Jean Leif, et al.. (2011). Targeted Disruption of the CCR5 Gene in Human Hematopoietic Stem Cells Stimulated by Peptide Nucleic Acids. Chemistry & Biology. 18(9). 1189–1198. 47 indexed citations

13.

Mai, Deborah, et al.. (2011). A Screen to Identify Small Molecule Inhibitors of Protein–Protein Interactions in Mycobacteria. Assay and Drug Development Technologies. 9(3). 299–310. 10 indexed citations

14.

Duverger, Alexandra, Jennifer Jones, Jori E. May, et al.. (2009). Determinants of the Establishment of Human Immunodeficiency Virus Type 1 Latency. Journal of Virology. 83(7). 3078–3093. 92 indexed citations

15.

Decker, Julie M., Juliet Easlick, Mario L. Santiago, et al.. (2009). Effective activation alleviates the replication block of CCR5-tropic HIV-1 in chimpanzee CD4+ lymphocytes. Virology. 394(1). 109–118. 6 indexed citations

16.

Davis, Katie L., Frédéric Bibollet‐Ruche, Hui Li, et al.. (2008). Human Immunodeficiency Virus Type 2 (HIV-2)/HIV-1 Envelope Chimeras Detect High Titers of Broadly Reactive HIV-1 V3-Specific Antibodies in Human Plasma. Journal of Virology. 83(3). 1240–1259. 55 indexed citations

17.

Jones, Jennifer, Marintha Heil, Jori E. May, et al.. (2007). High Throughput Drug Screening for Human Immunodeficiency Virus Type 1 Reactivating Compounds. Assay and Drug Development Technologies. 5(2). 181–190. 18 indexed citations

18.

Jones, Jennifer, Barry Kosloff, Etty Benveniste, George M. Shaw, & Olaf Kutsch. (2004). Amphotericin-B-mediated reactivation of latent HIV-1 infection. Virology. 331(1). 106–116. 12 indexed citations

19.

Kutsch, Olaf, et al.. (2002). HIV Type 1 Abrogates TAP-Mediated Transport of Antigenic Peptides Presented by MHC Class I. AIDS Research and Human Retroviruses. 18(17). 1319–1325. 18 indexed citations

20.

Oh, Jae‐Wook, et al.. (2001). CXC Chemokine Receptor 4 Expression and Function in Human Astroglioma Cells. The Journal of Immunology. 166(4). 2695–2704. 97 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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