Timothy E. Sweeney

6.1k total citations · 1 hit paper
78 papers, 3.0k citations indexed

About

Timothy E. Sweeney is a scholar working on Epidemiology, Molecular Biology and Infectious Diseases. According to data from OpenAlex, Timothy E. Sweeney has authored 78 papers receiving a total of 3.0k indexed citations (citations by other indexed papers that have themselves been cited), including 45 papers in Epidemiology, 20 papers in Molecular Biology and 16 papers in Infectious Diseases. Recurrent topics in Timothy E. Sweeney's work include Sepsis Diagnosis and Treatment (34 papers), Bacterial Identification and Susceptibility Testing (15 papers) and Neonatal and Maternal Infections (10 papers). Timothy E. Sweeney is often cited by papers focused on Sepsis Diagnosis and Treatment (34 papers), Bacterial Identification and Susceptibility Testing (15 papers) and Neonatal and Maternal Infections (10 papers). Timothy E. Sweeney collaborates with scholars based in United States, Canada and Netherlands. Timothy E. Sweeney's co-authors include Purvesh Khatri, Hector R. Wong, John M. Morton, Cristina M. Tato, Claude A. Piantadosi, Hagir B. Suliman, Karen E. Welty‐Wolf, Raquel R. Bartz, Ping Fu and Nancy Chou MacGarvey and has published in prestigious journals such as Nucleic Acids Research, Journal of Biological Chemistry and Nature Medicine.

In The Last Decade

Timothy E. Sweeney

76 papers receiving 3.0k 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.

Genome-wide expression for diagnosis of pulmonary tuberculosis: a multicohort analysis

2016 275 citations Timothy E. Sweeney, Cristina M. Tato et al. The Lancet Respiratory Medicine profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Timothy E. Sweeney United States	29	1.2k	1.1k	580	551	421	78	3.0k
Longxiang Su China	30	1.1k 0.9×	598 0.6×	355 0.6×	441 0.8×	399 0.9×	173	2.8k
Julien Textoris France	32	1.1k 0.9×	806 0.7×	344 0.6×	876 1.6×	250 0.6×	113	2.9k
Raymond T. Chung United States	36	1.8k 1.5×	964 0.9×	717 1.2×	930 1.7×	660 1.6×	117	5.0k
Sebastian Weis Germany	26	563 0.5×	899 0.8×	312 0.5×	491 0.9×	165 0.4×	87	2.2k
Min Zhan United States	34	509 0.4×	1.4k 1.3×	346 0.6×	184 0.3×	501 1.2×	114	3.9k
Isaiah R. Turnbull United States	26	955 0.8×	965 0.9×	213 0.4×	2.0k 3.7×	355 0.8×	54	4.2k
Yi Shi China	31	902 0.8×	854 0.8×	693 1.2×	536 1.0×	261 0.6×	144	3.3k
Yuanhong Xu China	27	635 0.5×	756 0.7×	1.3k 2.2×	309 0.6×	206 0.5×	158	3.6k
Brendon P. Scicluna Netherlands	31	2.1k 1.7×	1.8k 1.7×	615 1.1×	1.6k 2.9×	442 1.0×	96	5.4k
Xizhong Cui United States	25	858 0.7×	1.0k 0.9×	285 0.5×	494 0.9×	207 0.5×	82	2.6k

Countries citing papers authored by Timothy E. Sweeney

Since Specialization

Citations

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

Fields of papers citing papers by Timothy E. Sweeney

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Timothy E. Sweeney. 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 Timothy E. Sweeney. The network helps show where Timothy E. Sweeney may publish in the future.

Co-authorship network of co-authors of Timothy E. Sweeney

This figure shows the co-authorship network connecting the top 25 collaborators of Timothy E. Sweeney. A scholar is included among the top collaborators of Timothy E. Sweeney 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 Timothy E. Sweeney. Timothy E. Sweeney 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

Huang, Min, A. R. Moore, Natalja L. Stanski, et al.. (2025). Neutrophil dysregulation differentiates pediatric septic shock biomarker-based mortality-risk strata: insights from weighted gene co-expression network and transcriptomic analyses. Frontiers in Immunology. 16. 1663704–1663704.

Butler, Joe M., Hessel Peters‐Sengers, Tom D. Y. Reijnders, et al.. (2025). Pathogen-specific host response in critically ill patients with blood stream infections: a nested case–control study. EBioMedicine. 117. 105799–105799. 1 indexed citations

Brabander, Justin de, Joe M. Butler, Tom D. Y. Reijnders, et al.. (2025). The blood transcriptional response in patients developing intensive care unit-acquired pneumonia. European Respiratory Journal. 65(4). 2400592–2400592. 1 indexed citations

Lu, Jingyi, Natalie N. Whitfield, Oliver Liesenfeld, et al.. (2025). Early sepsis recognition: a pilot study using a rapid high-multiplex host-response mRNA diagnostic test. Intensive Care Medicine Experimental. 13(1). 21–21. 3 indexed citations

He, Yudong D., et al.. (2023). A machine learning classifier using 33 host immune response mRNAs accurately distinguishes viral and non-viral acute respiratory illnesses in nasal swab samples. Genome Medicine. 15(1). 64–64. 3 indexed citations

Shojaei, Maryam, Uros Midic, Simone A. Thair, et al.. (2023). Multisite validation of a host response signature for predicting likelihood of bacterial and viral infections in patients with suspected influenza. European Journal of Clinical Investigation. 53(5). e13957–e13957. 3 indexed citations

Balch, Jeremy A., Oliver Liesenfeld, Petr Starostik, et al.. (2023). Defining critical illness using immunological endotypes in patients with and without sepsis: a cohort study. Critical Care. 27(1). 292–292. 18 indexed citations

Rao, Aditya, Stephen J. Popper, Sanjana Gupta, et al.. (2022). A robust host-response-based signature distinguishes bacterial and viral infections across diverse global populations. Cell Reports Medicine. 3(12). 100842–100842. 17 indexed citations

Brakenridge, Scott C., Petr Starostik, Uros Midic, et al.. (2021). A Transcriptomic Severity Metric That Predicts Clinical Outcomes in Critically Ill Surgical Sepsis Patients. Critical Care Explorations. 3(10). e0554–e0554. 12 indexed citations

10.

He, Yudong D., Eric M. Wohlford, Florian Uhle, et al.. (2021). The Optimization and Biological Significance of a 29-Host-Immune-mRNA Panel for the Diagnosis of Acute Infections and Sepsis. Journal of Personalized Medicine. 11(8). 735–735. 21 indexed citations

11.

Hasin-Brumshtein, Yehudit, et al.. (2021). A Multi-mRNA Prognostic Signature for Anti-TNFα Therapy Response in Patients with Inflammatory Bowel Disease. Diagnostics. 11(10). 1902–1902. 3 indexed citations

12.

Thair, Simone A., Yudong D. He, Yehudit Hasin-Brumshtein, et al.. (2020). Transcriptomic similarities and differences in host response between SARS-CoV-2 and other viral infections. iScience. 24(1). 101947–101947. 56 indexed citations

13.

Mayhew, Michael B., Ljubomir Buturović, Roland Luethy, et al.. (2020). A generalizable 29-mRNA neural-network classifier for acute bacterial and viral infections. Nature Communications. 11(1). 1177–1177. 72 indexed citations

14.

Schneider, John A., Philipp Schüetz, Ivana Stojanović, et al.. (2020). Cost Impact Model of a Novel Multi-mRNA Host Response Assay for Diagnosis and Risk Assessment of Acute Respiratory Tract Infections and Sepsis in the Emergency Department. Journal of health economics and outcomes research. 7(1). 24–34. 6 indexed citations

15.

Sweeney, Timothy E., Neal J. Thomas, Judie A. Howrylak, et al.. (2018). Multicohort Analysis of Whole-Blood Gene Expression Data Does Not Form a Robust Diagnostic for Acute Respiratory Distress Syndrome. Critical Care Medicine. 46(2). 244–251. 23 indexed citations

16.

Sweeney, Timothy E., Shane Lofgren, Purvesh Khatri, & Angela J. Rogers. (2017). Gene Expression Analysis to Assess the Relevance of Rodent Models to Human Lung Injury. American Journal of Respiratory Cell and Molecular Biology. 57(2). 184–192. 17 indexed citations

17.

Raymond, Steven L., María López, Henry V. Baker, et al.. (2017). Unique transcriptomic response to sepsis is observed among patients of different age groups. PLoS ONE. 12(9). e0184159–e0184159. 40 indexed citations

18.

Sweeney, Timothy E., et al.. (2016). Genome-wide expression for diagnosis of pulmonary tuberculosis: a multicohort analysis. The Lancet Respiratory Medicine. 4(3). 213–224. 275 indexed citations breakdown →

19.

Sweeney, Timothy E. & John M. Morton. (2013). The Human Gut Microbiome. JAMA Surgery. 148(6). 563–563. 192 indexed citations

20.

Bartz, Raquel R., Hagir B. Suliman, Ping Fu, et al.. (2010). Staphylococcus aureus Sepsis and Mitochondrial Accrual of the 8-Oxoguanine DNA Glycosylase DNA Repair Enzyme in Mice. American Journal of Respiratory and Critical Care Medicine. 183(2). 226–233. 31 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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