Keith Garrison

891 total citations
24 papers, 598 citations indexed

About

Keith Garrison is a scholar working on Plant Science, Molecular Biology and Virology. According to data from OpenAlex, Keith Garrison has authored 24 papers receiving a total of 598 indexed citations (citations by other indexed papers that have themselves been cited), including 10 papers in Plant Science, 8 papers in Molecular Biology and 7 papers in Virology. Recurrent topics in Keith Garrison's work include Chromosomal and Genetic Variations (9 papers), HIV Research and Treatment (7 papers) and vaccines and immunoinformatics approaches (4 papers). Keith Garrison is often cited by papers focused on Chromosomal and Genetic Variations (9 papers), HIV Research and Treatment (7 papers) and vaccines and immunoinformatics approaches (4 papers). Keith Garrison collaborates with scholars based in United States, Canada and Brazil. Keith Garrison's co-authors include Douglas F. Nixon, Carole P. Meredith, R. Brad Jones, Mario Ostrowski, Summaira Riaz, Gerald S. Dangl, Jean‐Michel Boursiquot, Steven G. Deeks, Frederick Hecht and Lishomwa C. Ndhlovu and has published in prestigious journals such as The Journal of Immunology, PLoS ONE and Journal of Virology.

In The Last Decade

Keith Garrison

19 papers receiving 571 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Keith Garrison United States 13 389 313 118 116 93 24 598
Yeou-Cherng Bor United States 15 39 0.1× 703 2.2× 183 1.6× 51 0.4× 42 0.5× 17 850
Xidian Tang China 8 48 0.1× 310 1.0× 34 0.3× 53 0.5× 17 0.2× 11 431
Ann Demogines United States 11 65 0.2× 211 0.7× 40 0.3× 64 0.6× 33 0.4× 13 502
Luca Petiti Italy 11 129 0.3× 229 0.7× 63 0.5× 25 0.2× 18 0.2× 12 433
Ingrid Markovic United States 9 47 0.1× 195 0.6× 122 1.0× 85 0.7× 10 0.1× 14 447
D. Thinès Belgium 9 127 0.3× 362 1.2× 141 1.2× 56 0.5× 4 0.0× 10 594
Daniela Schulte Germany 11 301 0.8× 100 0.3× 32 0.3× 89 0.8× 12 0.1× 17 520
S Akter Bangladesh 14 60 0.2× 82 0.3× 46 0.4× 32 0.3× 17 0.2× 36 457

Countries citing papers authored by Keith Garrison

Since Specialization
Citations

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

Fields of papers citing papers by Keith Garrison

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Keith Garrison

This figure shows the co-authorship network connecting the top 25 collaborators of Keith Garrison. A scholar is included among the top collaborators of Keith Garrison 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 Keith Garrison. Keith Garrison 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
2.
Mendoza‐Torres, Evelyn, et al.. (2025). Factors associated with refractory ascites and spontaneous bacterial peritonitis in a predominantly Hispanic population: A retrospective analysis. World Journal of Gastrointestinal Pathophysiology. 16(3). 108842–108842.
3.
Garrison, Keith, et al.. (2022). S1513 Insurance Status Predicts Endoscopy No-Show. The American Journal of Gastroenterology. 117(10S). e1084–e1085. 1 indexed citations
4.
Donoviel, Dorit, Paul E. Carlson, Stephanie J. Culler, et al.. (2021). Microbiome for Mars: surveying microbiome connections to healthcare with implications for long-duration human spaceflight, virtual workshop, July 13, 2020. Microbiome. 9(1). 2–2. 12 indexed citations
5.
Garrison, Keith, et al.. (2021). S2223 Rare Colonic Vascular Ectasia Disguised as a Polyp. The American Journal of Gastroenterology. 116(1). S951–S951.
6.
Garrison, Keith & Melanie Gubbels Bupp. (2019). Setting Up an Undergraduate Immunology Lab: Resources and Examples. Frontiers in Immunology. 10. 2027–2027. 4 indexed citations
7.
Garrison, Keith, et al.. (2014). Progress in using coral as a model to study intrinsic and innate immune responses to herpes-like viruses (VET2P.1032). The Journal of Immunology. 192(Supplement_1). 207.4–207.4. 1 indexed citations
8.
Jones, R. Brad, Haihan Song, Yang Xu, et al.. (2013). LINE-1 Retrotransposable Element DNA Accumulates in HIV-1-Infected Cells. Journal of Virology. 87(24). 13307–13320. 51 indexed citations
9.
Champiat, Stéphane, Rui André Saraiva Raposo, Nicholas J. Maness, et al.. (2012). Influence of HAART on Alternative Reading Frame Immune Responses over the Course of HIV-1 Infection. PLoS ONE. 7(6). e39311–e39311. 17 indexed citations
10.
Ormsby, Christopher E., Devi SenGupta, Ravi Tandon, et al.. (2012). Human Endogenous Retrovirus Expression Is Inversely Associated with Chronic Immune Activation in HIV-1 Infection. PLoS ONE. 7(8). e41021–e41021. 22 indexed citations
11.
Jha, Aashish R., Douglas F. Nixon, Michael Rosenberg, et al.. (2011). Human Endogenous Retrovirus K106 (HERV-K106) Was Infectious after the Emergence of Anatomically Modern Humans. PLoS ONE. 6(5). e20234–e20234. 42 indexed citations
12.
SenGupta, Devi, Ravi Tandon, Lishomwa C. Ndhlovu, et al.. (2011). Strong Human Endogenous Retrovirus-Specific T Cell Responses Are Associated with Control of HIV-1 in Chronic Infection. Journal of Virology. 85(14). 6977–6985. 52 indexed citations
13.
Willberg, Christian B., Keith Garrison, R. Brad Jones, et al.. (2010). Rapid Progressing Allele HLA-B35 Px Restricted Anti-HIV-1 CD8+ T Cells Recognize Vestigial CTL Epitopes. PLoS ONE. 5(4). e10249–e10249. 14 indexed citations
14.
Jha, Aashish R., Satish K. Pillai, Vanessa A. York, et al.. (2009). Cross-Sectional Dating of Novel Haplotypes of HERV-K 113 and HERV-K 115 Indicate These Proviruses Originated in Africa before Homo sapiens. Molecular Biology and Evolution. 26(11). 2617–2626. 32 indexed citations
15.
Jones, R. Brad, Keith Garrison, Haihan Song, et al.. (2009). HIV-1 infection induces retrotransposition of LINE-1 elements. Retrovirology. 6(S2). 1 indexed citations
16.
Jones, R. Brad, et al.. (2008). Nucleoside Analogue Reverse Transcriptase Inhibitors Differentially Inhibit Human LINE-1 Retrotransposition. PLoS ONE. 3(2). e1547–e1547. 67 indexed citations
17.
Moisy, Cédric, Keith Garrison, Carole P. Meredith, & Frédérique Pelsy. (2008). Characterization of ten novel Ty1/copia-like retrotransposon families of the grapevine genome. BMC Genomics. 9(1). 469–469. 37 indexed citations
18.
Barbour, Jason D., Mariana M. Sauer, Keith Garrison, et al.. (2007). HIV-1/HSV-2 Co-Infected Adults in Early HIV-1 Infection Have Elevated CD4+ T Cell Counts. PLoS ONE. 2(10). e1080–e1080. 22 indexed citations
19.
Garrison, Keith, R. Brad Jones, Duncan A. Meiklejohn, et al.. (2007). T Cell Responses to Human Endogenous Retroviruses in HIV-1 Infection. PLoS Pathogens. 3(11). e165–e165. 105 indexed citations
20.
Riaz, Summaira, Keith Garrison, Gerald S. Dangl, Jean‐Michel Boursiquot, & Carole P. Meredith. (2002). Genetic Divergence and Chimerism within Ancient Asexually Propagated Winegrape Cultivars. Journal of the American Society for Horticultural Science. 127(4). 508–514. 104 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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