David Lewinsohn

18.3k total citations · 3 hit papers
151 papers, 9.5k citations indexed

About

David Lewinsohn is a scholar working on Immunology, Infectious Diseases and Epidemiology. According to data from OpenAlex, David Lewinsohn has authored 151 papers receiving a total of 9.5k indexed citations (citations by other indexed papers that have themselves been cited), including 99 papers in Immunology, 74 papers in Infectious Diseases and 67 papers in Epidemiology. Recurrent topics in David Lewinsohn's work include Tuberculosis Research and Epidemiology (70 papers), Immune Cell Function and Interaction (63 papers) and T-cell and B-cell Immunology (40 papers). David Lewinsohn is often cited by papers focused on Tuberculosis Research and Epidemiology (70 papers), Immune Cell Function and Interaction (63 papers) and T-cell and B-cell Immunology (40 papers). David Lewinsohn collaborates with scholars based in United States, United Kingdom and South Africa. David Lewinsohn's co-authors include Marielle C. Gold, Jeff E. Grotzke, Eugene C. Butcher, Mark R. Alderson, Melanie J. Harriff, Deborah A. Lewinsohn, Robert F. Bargatze, Gwendolyn Swarbrick, David R. Sherman and Stanley R. Riddell and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Journal of Biological Chemistry and Nature Medicine.

In The Last Decade

David Lewinsohn

144 papers receiving 9.3k 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.

Official American Thoracic Society/Infectious Diseases Society of America/Centers for Disease Control and Prevention Clinical Practice Guidelines: Diagnosis of Tuberculosis in Adults and Children

2016 656 citations David Lewinsohn et al. profile →
Official American Thoracic Society/Infectious Diseases Society of America/Centers for Disease Control and Prevention Clinical Practice Guidelines: Diagnosis of Tuberculosis in Adults and Children

2017 476 citations David Lewinsohn et al. profile →
Incipient and Subclinical Tuberculosis: a Clinical Review of Early Stages and Progression of Infection

2018 348 citations Erin W. Meermeier, David Lewinsohn et al. profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
David Lewinsohn United States	55	4.6k	4.5k	4.4k	1.6k	1.5k	151	9.5k
Peter A. Sieling United States	45	5.3k 1.2×	2.2k 0.5×	2.5k 0.6×	779 0.5×	1.7k 1.1×	84	8.9k
Daniel L. Barber United States	43	10.0k 2.2×	3.0k 0.7×	3.1k 0.7×	934 0.6×	1.9k 1.2×	90	13.9k
Carl G. Feng Australia	49	5.5k 1.2×	3.2k 0.7×	3.0k 0.7×	711 0.5×	1.5k 0.9×	100	8.7k
Peter F. Barnes United States	60	4.6k 1.0×	7.5k 1.7×	6.4k 1.5×	3.6k 2.3×	1.2k 0.8×	140	12.2k
Fausto Baldanti Italy	55	1.2k 0.3×	5.8k 1.3×	7.1k 1.6×	736 0.5×	900 0.6×	434	12.3k
Thomas J. Scriba South Africa	50	5.2k 1.1×	5.6k 1.2×	3.5k 0.8×	1.2k 0.8×	1.9k 1.3×	206	9.2k
Andreas Wack United Kingdom	43	5.3k 1.2×	1.9k 0.4×	2.5k 0.6×	248 0.2×	1.9k 1.2×	82	8.4k
Maria Rosaria Capobianchi Italy	49	1.9k 0.4×	4.6k 1.0×	2.8k 0.6×	339 0.2×	1.4k 0.9×	396	9.5k
Willem A. Hanekom South Africa	60	5.7k 1.2×	7.7k 1.7×	5.0k 1.1×	2.2k 1.4×	1.5k 0.9×	218	11.0k
Samuel M. Behar United States	59	7.8k 1.7×	5.0k 1.1×	3.8k 0.9×	1.1k 0.7×	2.3k 1.5×	127	11.8k

Countries citing papers authored by David Lewinsohn

Since Specialization

Citations

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

Fields of papers citing papers by David Lewinsohn

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of David Lewinsohn

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

Mortensen, Rasmus, Cecilia S. Lindestam Arlehamn, Rhea N. Coler, et al.. (2025). T cell–macrophage interactions in tuberculosis: What we've got here is failure to communicate. Journal of Internal Medicine. 299(1). 44–65.

Mehaffy, Carolina, Megan Lucas, Digby F. Warner, et al.. (2024). Modulation of riboflavin biosynthesis and utilization in mycobacteria. Microbiology Spectrum. 12(8). e0320723–e0320723. 3 indexed citations

Lewinsohn, David, et al.. (2022). The Missing Link in Correlates of Protective Tuberculosis Immunity: Recognizing the Infected Cell. Frontiers in Immunology. 13. 869057–869057. 7 indexed citations

Meermeier, Erin W., Sanjay M. Prakadan, Samuel W. Kazer, et al.. (2021). MR1-Restricted MAIT Cells From The Human Lung Mucosal Surface Have Distinct Phenotypic, Functional, and Transcriptomic Features That Are Preserved in HIV Infection. Frontiers in Immunology. 12. 631410–631410. 16 indexed citations

Suliman, Sara, Melissa Murphy, Munyaradzi Musvosvi, et al.. (2019). MR1-Independent Activation of Human Mucosal-Associated Invariant T Cells by Mycobacteria. The Journal of Immunology. 203(11). 2917–2927. 47 indexed citations

Lewinsohn, David, et al.. (2019). New Concepts in Tuberculosis Host Defense. Clinics in Chest Medicine. 40(4). 703–719. 15 indexed citations

Stylianou, Elena, Rachel Harrington-Kandt, Naomi Bull, et al.. (2018). Identification and Evaluation of Novel Protective Antigens for the Development of a Candidate Tuberculosis Subunit Vaccine. Infection and Immunity. 86(7). 73 indexed citations

Swarbrick, Gwendolyn, Meghan Cansler, Megan Null, et al.. (2013). Human Mycobacterium tuberculosis CD8 T Cell Antigens/Epitopes Identified by a Proteomic Peptide Library. PLoS ONE. 8(6). e67016–e67016. 41 indexed citations

Nyendak, Melissa, Byung Park, Megan Null, et al.. (2013). Mycobacterium tuberculosis Specific CD8+ T Cells Rapidly Decline with Antituberculosis Treatment. PLoS ONE. 8(12). e81564–e81564. 37 indexed citations

10.

Luciw, Paul A., Karen Oslund, Lourdes Adamson, et al.. (2011). Stereological analysis of bacterial load and lung lesions in nonhuman primates (rhesus macaques) experimentally infected with Mycobacterium tuberculosis. American Journal of Physiology-Lung Cellular and Molecular Physiology. 301(5). L731–L738. 31 indexed citations

11.

Gold, Marielle C., Stefania Cerri, Susan Smyk‐Pearson, et al.. (2010). Human Mucosal Associated Invariant T Cells Detect Bacterially Infected Cells. PLoS Biology. 8(6). e1000407–e1000407. 493 indexed citations

12.

Grotzke, Jeff E., et al.. (2009). The Mycobacterium tuberculosis Phagosome Is a HLA-I Processing Competent Organelle. PLoS Pathogens. 5(4). e1000374–e1000374. 78 indexed citations

13.

Lewinsohn, David, et al.. (2006). Secreted Proteins from Mycobacterium tuberculosis Gain Access to the Cytosolic MHC Class-I Antigen-Processing Pathway. The Journal of Immunology. 177(1). 437–442. 53 indexed citations

14.

Lewinsohn, David, Jeff E. Grotzke, Kamm Prongay, et al.. (2006). High resolution radiographic and fine immunologic definition of TB disease progression in the rhesus macaque. Microbes and Infection. 8(11). 2587–2598. 51 indexed citations

15.

Rosen, Hugo R., David J. Hinrichs, Rachel L. Leistikow, et al.. (2004). Cutting Edge: Identification of Hepatitis C Virus-Specific CD8+ T Cells Restricted by Donor HLA Alleles following Liver Transplantation. The Journal of Immunology. 173(9). 5355–5359. 38 indexed citations

16.

Shams, Homayoun, Peter Klucar, Ajit Lalvani, et al.. (2004). Characterization of a Mycobacterium tuberculosis Peptide That Is Recognized by Human CD4+ and CD8+ T Cells in the Context of Multiple HLA Alleles. The Journal of Immunology. 173(3). 1966–1977. 69 indexed citations

17.

Lewinsohn, David, et al.. (2003). Mycobacterium tuberculosis –specific CD8+ T Cells Preferentially Recognize Heavily Infected Cells. American Journal of Respiratory and Critical Care Medicine. 168(11). 1346–1352. 116 indexed citations

18.

Lewinsohn, David, Liqing Zhu, Davin C. Dillon, et al.. (2001). Classically Restricted Human CD8+ T Lymphocytes Derived from Mycobacterium tuberculosis -Infected Cells: Definition of Antigenic Specificity. The Journal of Immunology. 166(1). 439–446. 83 indexed citations

19.

Burrows, Gregory G., Yuan K. Chou, Chunhe Wang, et al.. (2001). Rudimentary TCR Signaling Triggers Default IL-10 Secretion by Human Th1 Cells. The Journal of Immunology. 167(8). 4386–4395. 49 indexed citations

20.

Dillon, Davin C., Mark R. Alderson, Craig H. Day, et al.. (1999). Molecular characterization and human T-cell responses to a member of a novel Mycobacterium tuberculosis mtb39 gene family. LA Referencia (Red Federada de Repositorios Institucionales de Publicaciones Científicas). 67. 6 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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