J. Lindsay Whitton

22.2k total citations · 2 hit papers
160 papers, 11.1k citations indexed

About

J. Lindsay Whitton is a scholar working on Immunology, Molecular Biology and Epidemiology. According to data from OpenAlex, J. Lindsay Whitton has authored 160 papers receiving a total of 11.1k indexed citations (citations by other indexed papers that have themselves been cited), including 99 papers in Immunology, 55 papers in Molecular Biology and 52 papers in Epidemiology. Recurrent topics in J. Lindsay Whitton's work include Immunotherapy and Immune Responses (51 papers), Viral Infections and Immunology Research (42 papers) and T-cell and B-cell Immunology (39 papers). J. Lindsay Whitton is often cited by papers focused on Immunotherapy and Immune Responses (51 papers), Viral Infections and Immunology Research (42 papers) and T-cell and B-cell Immunology (39 papers). J. Lindsay Whitton collaborates with scholars based in United States, France and Australia. J. Lindsay Whitton's co-authors include Mark K. Slifka, Stephanie Harkins, Matthias G. von Herrath, Robert S. Fujinami, Jason K. Whitmire, Ralph Feuer, Fernando Rodrı́guez, J. Barklie Clements, Dairena Gaffney and John McLauchlan and has published in prestigious journals such as Science, Proceedings of the National Academy of Sciences and Nucleic Acids Research.

In The Last Decade

J. Lindsay Whitton

160 papers receiving 10.8k citations

Hit Papers

align trajectories

What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

The consensus sequence YGTGTTYY located downstream from the AATAAA signal is required for efficient formation of mRNA 3′ termini

1985 592 citations J. Lindsay Whitton et al. profile →
Molecular Mimicry, Bystander Activation, or Viral Persistence: Infections and Autoimmune Disease

2006 477 citations Robert S. Fujinami, J. Lindsay Whitton et al. profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
J. Lindsay Whitton United States	62	5.4k	3.5k	2.9k	1.9k	1.8k	160	11.1k
Abner Louis Notkins United States	72	6.4k 1.2×	3.5k 1.0×	4.1k 1.4×	1.1k 0.6×	1.8k 1.0×	301	17.3k
Christopher M. Walker United States	52	3.7k 0.7×	2.6k 0.8×	4.2k 1.5×	621 0.3×	1.9k 1.1×	143	11.1k
Ganes C. Sen United States	72	9.7k 1.8×	7.6k 2.2×	3.3k 1.1×	1.5k 0.8×	2.6k 1.4×	245	17.4k
John W. Schoggins United States	34	4.0k 0.7×	2.3k 0.7×	1.9k 0.6×	598 0.3×	2.3k 1.3×	74	8.0k
Søren R. Paludan Denmark	64	9.1k 1.7×	5.0k 1.4×	3.9k 1.4×	675 0.3×	2.7k 1.5×	169	14.2k
Chella S. David United States	61	7.8k 1.4×	3.0k 0.9×	1.7k 0.6×	537 0.3×	1.4k 0.7×	446	14.3k
Michinori Kohara Japan	56	1.5k 0.3×	3.9k 1.1×	4.9k 1.7×	1.8k 0.9×	2.1k 1.1×	263	11.3k
Carolyn B. Coyne United States	55	3.2k 0.6×	3.3k 0.9×	2.5k 0.9×	1.1k 0.6×	2.6k 1.4×	123	10.3k
Michael A. Skinner United States	50	1.6k 0.3×	2.6k 0.8×	2.5k 0.9×	828 0.4×	2.1k 1.1×	159	8.6k
Benjamin R. tenOever United States	50	5.3k 1.0×	4.0k 1.1×	2.5k 0.9×	588 0.3×	4.4k 2.4×	103	11.5k

Countries citing papers authored by J. Lindsay Whitton

Since Specialization

Citations

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

Fields of papers citing papers by J. Lindsay Whitton

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by J. Lindsay Whitton. 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 J. Lindsay Whitton. The network helps show where J. Lindsay Whitton may publish in the future.

Co-authorship network of co-authors of J. Lindsay Whitton

This figure shows the co-authorship network connecting the top 25 collaborators of J. Lindsay Whitton. A scholar is included among the top collaborators of J. Lindsay Whitton 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 J. Lindsay Whitton. J. Lindsay Whitton 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

Alirezaei, Mehrdad, et al.. (2020). A food-responsive switch modulates TFEB and autophagy, and determines susceptibility to coxsackievirus infection and pancreatitis. Autophagy. 17(2). 402–419. 8 indexed citations

Kimura, Taishi, Claudia T. Flynn, & J. Lindsay Whitton. (2020). Hepatocytes trap and silence coxsackieviruses, protecting against systemic disease in mice. Communications Biology. 3(1). 580–580. 7 indexed citations

Kimura, Taishi, Claudia T. Flynn, Mehrdad Alirezaei, Ganes C. Sen, & J. Lindsay Whitton. (2019). Biphasic and cardiomyocyte-specific IFIT activity protects cardiomyocytes from enteroviral infection. PLoS Pathogens. 15(4). e1007674–e1007674. 19 indexed citations

Flynn, Claudia T., et al.. (2017). Immunological and pathological consequences of coxsackievirus RNA persistence in the heart. Virology. 512. 104–112. 8 indexed citations

Misumi, Ichiro, Mehrdad Alirezaei, Boreth Eam, et al.. (2013). Differential T Cell Responses to Residual Viral Antigen Prolong CD4+ T Cell Contraction following the Resolution of Infection. The Journal of Immunology. 191(11). 5655–5668. 8 indexed citations

Kemball, Christopher C., Claudia T. Flynn, Martin Hosking, Jason Botten, & J. Lindsay Whitton. (2012). Wild-type coxsackievirus infection dramatically alters the abundance, heterogeneity, and immunostimulatory capacity of conventional dendritic cells in vivo. Virology. 429(1). 74–90. 14 indexed citations

Whitmire, Jason K., et al.. (2008). Increasing the CD4+ T Cell Precursor Frequency Leads to Competition for IFN-γ Thereby Degrading Memory Cell Quantity and Quality. The Journal of Immunology. 180(10). 6777–6785. 27 indexed citations

Whitmire, Jason K., et al.. (2006). Precursor Frequency, Nonlinear Proliferation, and Functional Maturation of Virus-Specific CD4+ T Cells. The Journal of Immunology. 176(5). 3028–3036. 68 indexed citations

Liu, Fei & J. Lindsay Whitton. (2005). Cutting Edge: Re-evaluating the In Vivo Cytokine Responses of CD8+ T Cells during Primary and Secondary Viral Infections. The Journal of Immunology. 174(10). 5936–5940. 132 indexed citations

10.

Whitmire, Jason K., et al.. (2005). Cutting Edge: Early IFN-γ Signaling Directly Enhances Primary Antiviral CD4+ T Cell Responses. The Journal of Immunology. 175(9). 5624–5628. 52 indexed citations

11.

Nussbaum, Alexander K., et al.. (2005). Immunoproteasome-Deficient Mice Mount Largely Normal CD8+ T Cell Responses to Lymphocytic Choriomeningitis Virus Infection and DNA Vaccination. The Journal of Immunology. 175(2). 1153–1160. 44 indexed citations

12.

Liu, Fei, J. Lindsay Whitton, & Mark K. Slifka. (2004). The Rapidity with Which Virus-Specific CD8+ T Cells Initiate IFN-γ Synthesis Increases Markedly over the Course of Infection and Correlates with Immunodominance. The Journal of Immunology. 173(1). 456–462. 48 indexed citations

13.

Rodrı́guez, Fernando, Stephanie Harkins, Mark K. Slifka, & J. Lindsay Whitton. (2002). Immunodominance in Virus-Induced CD8 ⁺ T-Cell Responses Is Dramatically Modified by DNA Immunization and Is Regulated by Gamma Interferon. Journal of Virology. 76(9). 4251–4259. 87 indexed citations

14.

Slifka, Mark K. & J. Lindsay Whitton. (2000). Activated and Memory CD8+ T Cells Can Be Distinguished by Their Cytokine Profiles and Phenotypic Markers. The Journal of Immunology. 164(1). 208–216. 149 indexed citations

15.

Slifka, Mark K., Robb R. Pagarigan, & J. Lindsay Whitton. (2000). NK Markers Are Expressed on a High Percentage of Virus-Specific CD8+ and CD4+ T Cells. The Journal of Immunology. 164(4). 2009–2015. 210 indexed citations

16.

Tsunoda, Ikuo, Neal D. Tolley, Diethilde Theil, et al.. (1999). Exacerbation of Viral and Autoimmune Animal Models for Multiple Sclerosis by Bacterial DNA. Brain Pathology. 9(3). 481–493. 88 indexed citations

17.

Theil, Diethilde, et al.. (1999). Infection with a recombinant vaccinia virus encoding myelin proteolipid protein causes suppression of chronic relapsing–remitting experimental allergic encephalomyelitis. Journal of Neuroimmunology. 96(2). 148–157. 10 indexed citations

18.

Most, Robbert van der, Kaja Murali‐Krishna, J. Lindsay Whitton, et al.. (1998). Identification of Db- and Kb-Restricted Subdominant Cytotoxic T-Cell Responses in Lymphocytic Choriomeningitis Virus-Infected Mice. Virology. 240(1). 158–167. 141 indexed citations

19.

Yokoyama, Masayuki, Jie Zhang, & J. Lindsay Whitton. (1996). DNA immunization: Effects of vehicle and route of administration on the induction of protective antiviral immunity. FEMS Immunology & Medical Microbiology. 14(4). 221–230. 36 indexed citations

20.

Whitton, J. Lindsay & Michael B. A. Oldstone. (1989). Class I MHC can present an endogenous peptide to cytotoxic T lymphocytes.. The Journal of Experimental Medicine. 170(3). 1033–1038. 53 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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