Sushmita Sridhar

5.9k total citations
19 papers, 219 citations indexed

About

Sushmita Sridhar is a scholar working on Molecular Medicine, Endocrinology and Epidemiology. According to data from OpenAlex, Sushmita Sridhar has authored 19 papers receiving a total of 219 indexed citations (citations by other indexed papers that have themselves been cited), including 10 papers in Molecular Medicine, 7 papers in Endocrinology and 5 papers in Epidemiology. Recurrent topics in Sushmita Sridhar's work include Antibiotic Resistance in Bacteria (10 papers), Vibrio bacteria research studies (5 papers) and Salmonella and Campylobacter epidemiology (4 papers). Sushmita Sridhar is often cited by papers focused on Antibiotic Resistance in Bacteria (10 papers), Vibrio bacteria research studies (5 papers) and Salmonella and Campylobacter epidemiology (4 papers). Sushmita Sridhar collaborates with scholars based in United States, United Kingdom and Australia. Sushmita Sridhar's co-authors include Olivia Steele‐Mortimer, Sarah E. Turbett, Regina C. LaRocque, Jason B. Harris, Gordon Dougan, Stephen R. Forrest, Stephen Baker, Mailis Maes, Jonathan R. Pollack and Nicole Clarke and has published in prestigious journals such as Nature Communications, PLoS ONE and Nature Reviews Microbiology.

In The Last Decade

Sushmita Sridhar

17 papers receiving 219 citations

Peers

Sushmita Sridhar

ENDOC

Camille Gomart France

Mohammed A. Saleh Egypt

Richard D. Smith United States

José Arturo Molina-Mora Costa Rica

I. V. Chebotar Russia

Aleksandra M. Kostic United States

Francisco Duarte-Martínez Costa Rica

Alastair Logan United Kingdom

Roxana Zamudio United Kingdom

Hayley R. Nordstrom United States

Camille Gomart France

Sushmita Sridhar

50 ×0.7

65 ×1.3

80 ×1.6

55 ×1.5

ENDOC

28 ×0.9

Citations per year, relative to Sushmita Sridhar Sushmita Sridhar (= 1×) peers Camille Gomart

Countries citing papers authored by Sushmita Sridhar

Since Specialization

Citations

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

Fields of papers citing papers by Sushmita Sridhar

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Sushmita Sridhar

This figure shows the co-authorship network connecting the top 25 collaborators of Sushmita Sridhar. A scholar is included among the top collaborators of Sushmita Sridhar 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 Sushmita Sridhar. Sushmita Sridhar is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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19 of 19 papers shown

Wantuch, Paeton L., Biana Bernshtein, Damien Slater, et al.. (2025). Antibody responses in Klebsiella pneumoniae bloodstream infection: a prospective cohort study. The Lancet Microbe. 6(4). 100988–100988. 4 indexed citations

Sridhar, Sushmita, Stephen T. Reece, Octavie Lunguya, et al.. (2024). Combining machine learning with high-content imaging to infer ciprofloxacin susceptibility in isolates of Salmonella Typhimurium. Nature Communications. 15(1). 5074–5074. 8 indexed citations

Slater, Damien, et al.. (2024). Multiplexed real-time PCR for the detection and differentiation of Klebsiella pneumoniae O-antigen serotypes. Microbiology Spectrum. 12(9). e0037524–e0037524.

Sridhar, Sushmita, Umme Kulsum, Ashlee M. Earl, et al.. (2024). Clinical and genomic characterization of Klebsiella pneumoniae infections in Dhaka, Bangladesh. Journal of Global Antimicrobial Resistance. 41. 52–58.

Sridhar, Sushmita, Damien Slater, Ashlee M. Earl, et al.. (2024). High Prevalence of Carbapenem-resistant Klebsiella Pneumoniae in Fecal and Water Samples in Dhaka, Bangladesh. Open Forum Infectious Diseases. 11(11). ofae612–ofae612. 2 indexed citations

Worby, Colin J., Sushmita Sridhar, Sarah E. Turbett, et al.. (2023). Gut microbiome perturbation, antibiotic resistance, and Escherichia coli strain dynamics associated with international travel: a metagenomic analysis. The Lancet Microbe. 4(10). e790–e799. 22 indexed citations

Chow, Seong Hoong, Ashley Weir, Amy Yeung, et al.. (2023). FBXO11 governs macrophage cell death and inflammation in response to bacterial toxins. Life Science Alliance. 6(6). e202201735–e202201735. 2 indexed citations

Brown, D. Garrett, Colin J. Worby, Ben J. Brintz, et al.. (2023). Development of a prediction model for the acquisition of extended spectrum beta-lactam-resistant organisms in U.S. international travellers. Journal of Travel Medicine. 30(6). 7 indexed citations

Roach, David J., Sushmita Sridhar, Elizabeth Oliver, et al.. (2023). Clinical and Genomic Characterization of a Cohort of Patients With Klebsiella pneumoniae Bloodstream Infection. Clinical Infectious Diseases. 78(1). 31–39. 11 indexed citations

10.

Zellmer, Caroline, Tuan Anh Tran, & Sushmita Sridhar. (2021). Seeing the bigger picture. Nature Reviews Microbiology. 19(12). 745–745. 1 indexed citations

11.

Sridhar, Sushmita, Sarah E. Turbett, Jason B. Harris, & Regina C. LaRocque. (2021). Antimicrobial-resistant bacteria in international travelers. Current Opinion in Infectious Diseases. 34(5). 423–431. 29 indexed citations

12.

Sridhar, Sushmita, Stephen R. Forrest, Derek Pickard, et al.. (2021). Inhibitory Concentrations of Ciprofloxacin Induce an Adaptive Response Promoting the Intracellular Survival of Salmonella enterica Serovar Typhimurium. mBio. 12(3). e0109321–e0109321. 12 indexed citations

13.

Sridhar, Sushmita, Stephen R. Forrest, Ben Warne, et al.. (2021). High-Content Imaging to Phenotype Antimicrobial Effects on Individual Bacteria at Scale. mSystems. 6(3). 23 indexed citations

14.

Sridhar, Sushmita, Colin J. Worby, Sarah E. Turbett, et al.. (2021). 180. Alterations to the Gut Microbiomes and Acquisition of Bacteria Resistance Elements among US International Travelers. Open Forum Infectious Diseases. 8(Supplement_1). S110–S110. 1 indexed citations

15.

Chow, Seong Hoong, Pankaj Deo, Amy Yeung, et al.. (2020). Targeting NLRP3 and Staphylococcal pore-forming toxin receptors in human-induced pluripotent stem cell-derived macrophages. Journal of Leukocyte Biology. 108(3). 967–981. 19 indexed citations

16.

Kingsley, Robert A., Gemma C. Langridge, Sarah E. Smith, et al.. (2018). Functional analysis of Salmonella Typhi adaptation to survival in water. Environmental Microbiology. 20(11). 4079–4090. 14 indexed citations

17.

Sridhar, Sushmita & Olivia Steele‐Mortimer. (2016). Inherent Variability of Growth Media Impacts the Ability of Salmonella Typhimurium to Interact with Host Cells. PLoS ONE. 11(6). e0157043–e0157043. 25 indexed citations

18.

Bauler, Timothy J., Tregei Starr, Toni A. Nagy, et al.. (2016). Salmonella Meningitis Associated with Monocyte Infiltration in Mice. American Journal Of Pathology. 187(1). 187–199. 21 indexed citations

19.

Clarke, Nicole, Kevin Kwei, Jean M. Davidson, et al.. (2015). Integrative Genomics Implicates EGFR as a Downstream Mediator in NKX2-1 Amplified Non-Small Cell Lung Cancer. PLoS ONE. 10(11). e0142061–e0142061. 18 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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