Clare M. Smith

2.2k total citations
28 papers, 1.1k citations indexed

About

Clare M. Smith is a scholar working on Infectious Diseases, Epidemiology and Immunology. According to data from OpenAlex, Clare M. Smith has authored 28 papers receiving a total of 1.1k indexed citations (citations by other indexed papers that have themselves been cited), including 14 papers in Infectious Diseases, 12 papers in Epidemiology and 12 papers in Immunology. Recurrent topics in Clare M. Smith's work include Tuberculosis Research and Epidemiology (13 papers), Mycobacterium research and diagnosis (12 papers) and Mosquito-borne diseases and control (5 papers). Clare M. Smith is often cited by papers focused on Tuberculosis Research and Epidemiology (13 papers), Mycobacterium research and diagnosis (12 papers) and Mosquito-borne diseases and control (5 papers). Clare M. Smith collaborates with scholars based in United States, Australia and United Kingdom. Clare M. Smith's co-authors include Simon J. Foote, Brendan J. McMorran, Christopher M. Sassetti, Paul A. Edwards, A. Munro Neville, Michael J. O’Hare, Ante Jerkovic, Thy T. Truong, James McCarthy and Richard E. Baker and has published in prestigious journals such as Science, Cell and Nucleic Acids Research.

In The Last Decade

Clare M. Smith

28 papers receiving 1.1k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Clare M. Smith United States 15 376 372 350 281 131 28 1.1k
Chi‐Wei Tsai Taiwan 22 191 0.5× 355 1.0× 384 1.1× 395 1.4× 83 0.6× 59 2.1k
Hartwig P. Huemer Austria 26 458 1.2× 347 0.9× 240 0.7× 542 1.9× 185 1.4× 70 1.5k
Zhuang Li China 24 481 1.3× 541 1.5× 356 1.0× 444 1.6× 73 0.6× 79 1.5k
Xin Ji China 17 650 1.7× 201 0.5× 403 1.2× 156 0.6× 66 0.5× 42 1.3k
Carmen Alvarez‐Domínguez Spain 24 444 1.2× 151 0.4× 779 2.2× 165 0.6× 95 0.7× 64 1.8k
Eileen Uribe‐Querol Mexico 16 891 2.4× 169 0.5× 558 1.6× 178 0.6× 86 0.7× 31 1.9k
Grant R. Campbell United States 24 531 1.4× 478 1.3× 618 1.8× 604 2.1× 156 1.2× 42 1.8k
Hiroto Shinomiya Japan 21 712 1.9× 263 0.7× 513 1.5× 111 0.4× 65 0.5× 61 1.7k
Lamyaa Al‐Riyami United Kingdom 19 340 0.9× 292 0.8× 215 0.6× 92 0.3× 216 1.6× 34 1.3k
Christofer Karlsson Sweden 19 262 0.7× 181 0.5× 357 1.0× 121 0.4× 264 2.0× 40 1.1k

Countries citing papers authored by Clare M. Smith

Since Specialization
Citations

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

Fields of papers citing papers by Clare M. Smith

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Clare M. Smith. 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 Clare M. Smith. The network helps show where Clare M. Smith may publish in the future.

Co-authorship network of co-authors of Clare M. Smith

This figure shows the co-authorship network connecting the top 25 collaborators of Clare M. Smith. A scholar is included among the top collaborators of Clare M. Smith 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 Clare M. Smith. Clare M. Smith 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
1.
Proulx, Megan K., Chin‐Jen Wu, Ping Xu, et al.. (2025). Noncanonical T cell responses are associated with protection from tuberculosis in mice and humans. The Journal of Experimental Medicine. 222(7). 1 indexed citations
2.
Gontijo, Marco Túlio Pardini, Charlie J. Pyle, Kaley M. Wilburn, et al.. (2025). Cathepsin Z is a conserved susceptibility factor underlying tuberculosis severity. PLoS Biology. 23(9). e3003377–e3003377. 1 indexed citations
3.
Pyle, Charlie J., Liuyang Wang, Rebecca W. Beerman, et al.. (2025). Paired single-cell and spatial transcriptional profiling reveals a central osteopontin macrophage response mediating tuberculous granuloma formation. mBio. 16(9). e0155925–e0155925. 1 indexed citations
4.
Smith, Clare M., et al.. (2024). Immunological roads diverged: mapping tuberculosis outcomes in mice. Trends in Microbiology. 33(1). 15–33. 4 indexed citations
5.
Wilburn, Kaley M., et al.. (2023). Differential Requirement for IRGM Proteins during Tuberculosis Infection in Mice. Infection and Immunity. 91(2). e0051022–e0051022. 7 indexed citations
6.
Smith, Clare M., et al.. (2023). Mycobacterial Genetic Technologies for Probing the Host-Pathogen Microenvironment. Infection and Immunity. 91(6). e0043022–e0043022. 1 indexed citations
7.
Long, Jarukit E., Adrián Jinich, Kyu Y. Rhee, et al.. (2023). Genome-wide screen identifies host loci that modulate Mycobacterium tuberculosis fitness in immunodivergent mice. G3 Genes Genomes Genetics. 13(9). 4 indexed citations
8.
Martínez, Núria, Clare M. Smith, John T. Williams, et al.. (2023). Glycerol contributes to tuberculosis susceptibility in male mice with type 2 diabetes. Nature Communications. 14(1). 5840–5840. 12 indexed citations
9.
Saelens, Joseph W., Kristen L. Jurcic Smith, Jörn Coers, et al.. (2022). An ancestral mycobacterial effector promotes dissemination of infection. Cell. 185(24). 4507–4525.e18. 26 indexed citations
10.
Lovewell, Rustin R., Christina E. Baer, Bibhuti B. Mishra, Clare M. Smith, & Christopher M. Sassetti. (2020). Granulocytes act as a niche for Mycobacterium tuberculosis growth. Mucosal Immunology. 14(1). 229–241. 52 indexed citations
11.
Smith, Clare M., et al.. (2020). These Are the Genes You’re Looking For: Finding Host Resistance Genes. Trends in Microbiology. 29(4). 346–362. 2 indexed citations
12.
Smith, Clare M., Megan K. Proulx, Rocky Lai, et al.. (2019). Functionally Overlapping Variants Control Tuberculosis Susceptibility in Collaborative Cross Mice. mBio. 10(6). 30 indexed citations
13.
Moss, Caitlin E., Megan K. Proulx, Clare M. Smith, et al.. (2019). Common Variants in the Glycerol Kinase Gene Reduce Tuberculosis Drug Efficacy. mBio. 10(4). 76 indexed citations
14.
DeJesus, Michael A., Anisha Zaveri, Clare M. Smith, et al.. (2019). Statistical analysis of variability in TnSeq data across conditions using zero-inflated negative binomial regression. BMC Bioinformatics. 20(1). 603–603. 14 indexed citations
15.
Olive, Andrew J., et al.. (2018). The Phagocyte Oxidase Controls Tolerance to Mycobacterium tuberculosis Infection. The Journal of Immunology. 201(6). 1705–1716. 22 indexed citations
16.
Smith, Clare M. & Christopher M. Sassetti. (2018). Modeling Diversity: Do Homogeneous Laboratory Strains Limit Discovery?. Trends in Microbiology. 26(11). 892–895. 11 indexed citations
17.
Smith, Clare M., Megan K. Proulx, Andrew J. Olive, et al.. (2016). Tuberculosis Susceptibility and Vaccine Protection Are Independently Controlled by Host Genotype. mBio. 7(5). 131 indexed citations
18.
Gonzales, Natalia M., Viive M. Howell, & Clare M. Smith. (2016). 29th International Mammalian Genome Conference meeting report. Mammalian Genome. 27(5-6). 169–178. 2 indexed citations
19.
McMorran, Brendan J., Karen E. Drysdale, Jo-Anne Chan, et al.. (2012). Platelet Factor 4 and Duffy Antigen Required for Platelet Killing of Plasmodium falciparum. Science. 338(6112). 1348–1351. 124 indexed citations
20.
Longley, Rhea J., Clare M. Smith, Anny Fortin, et al.. (2010). Host resistance to malaria: using mouse models to explore the host response. Mammalian Genome. 22(1-2). 32–42. 44 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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