Thomas D. Yager

2.9k total citations
50 papers, 2.1k citations indexed

About

Thomas D. Yager is a scholar working on Molecular Biology, Genetics and Public Health, Environmental and Occupational Health. According to data from OpenAlex, Thomas D. Yager has authored 50 papers receiving a total of 2.1k indexed citations (citations by other indexed papers that have themselves been cited), including 33 papers in Molecular Biology, 12 papers in Genetics and 8 papers in Public Health, Environmental and Occupational Health. Recurrent topics in Thomas D. Yager's work include RNA and protein synthesis mechanisms (13 papers), Bacterial Genetics and Biotechnology (9 papers) and DNA and Nucleic Acid Chemistry (8 papers). Thomas D. Yager is often cited by papers focused on RNA and protein synthesis mechanisms (13 papers), Bacterial Genetics and Biotechnology (9 papers) and DNA and Nucleic Acid Chemistry (8 papers). Thomas D. Yager collaborates with scholars based in United States, Canada and United Kingdom. Thomas D. Yager's co-authors include Peter H. von Hippel, K. E. Van Holde, William A. Rees, Richard Ikegami, Cynthia T. McMurray, Patricia Hunter, Johannes Geiselmann, Dorothy A. Erie, Wendy Ankener and Christopher S. Carlson and has published in prestigious journals such as Science, Proceedings of the National Academy of Sciences and Journal of Biological Chemistry.

In The Last Decade

Thomas D. Yager

49 papers receiving 2.1k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Thomas D. Yager United States 23 1.4k 428 255 192 134 50 2.1k
T. Köller Slovakia 23 2.0k 1.4× 414 1.0× 342 1.3× 138 0.7× 101 0.8× 94 3.2k
Charles L. Brooks United States 29 1.6k 1.1× 387 0.9× 221 0.9× 209 1.1× 151 1.1× 79 3.2k
Jiayan Wu China 31 2.0k 1.4× 354 0.8× 191 0.7× 306 1.6× 139 1.0× 119 3.5k
Francisco Guerra Spain 29 1.1k 0.8× 167 0.4× 492 1.9× 155 0.8× 181 1.4× 89 3.2k
Phouthone Keohavong United States 28 1.9k 1.3× 363 0.8× 151 0.6× 148 0.8× 53 0.4× 74 3.4k
Gong Zhang China 38 3.7k 2.6× 474 1.1× 218 0.9× 204 1.1× 173 1.3× 172 5.2k
Yongming Xie United States 28 1.5k 1.0× 172 0.4× 126 0.5× 102 0.5× 143 1.1× 40 2.8k
Radhakrishna S. Tirumalai United States 15 1.7k 1.2× 360 0.8× 103 0.4× 386 2.0× 84 0.6× 19 2.7k
Thomas Boesen Denmark 27 1.2k 0.9× 163 0.4× 201 0.8× 279 1.5× 147 1.1× 94 2.8k
Priscilla K. Cooper United States 29 3.5k 2.4× 626 1.5× 128 0.5× 103 0.5× 241 1.8× 49 4.1k

Countries citing papers authored by Thomas D. Yager

Since Specialization
Citations

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

Fields of papers citing papers by Thomas D. Yager

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Thomas D. Yager. 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 Thomas D. Yager. The network helps show where Thomas D. Yager may publish in the future.

Co-authorship network of co-authors of Thomas D. Yager

This figure shows the co-authorship network connecting the top 25 collaborators of Thomas D. Yager. A scholar is included among the top collaborators of Thomas D. Yager 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 Thomas D. Yager. Thomas D. Yager 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.
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
2.
Mellot, François, Félix Ackermann, Benjamin Zuber, et al.. (2023). Stratification of COVID-19 Severity Using SeptiCyte RAPID, a Novel Host Immune Response Test. Viruses. 15(2). 419–419. 4 indexed citations
3.
Sampson, Dayle, Thomas D. Yager, Brian A. Fox, et al.. (2020). Blood transcriptomic discrimination of bacterial and viral infections in the emergency department: a multi-cohort observational validation study. BMC Medicine. 18(1). 185–185. 22 indexed citations
4.
McHugh, Leo, Kevin Snyder, & Thomas D. Yager. (2019). The effect of uncertainty in patient classification on diagnostic performance estimations. PLoS ONE. 14(5). e0217146–e0217146. 13 indexed citations
5.
Sampson, Dayle, Brian A. Fox, Thomas D. Yager, et al.. (2017). A Four-Biomarker Blood Signature Discriminates Systemic Inflammation Due to Viral Infection Versus Other Etiologies. Scientific Reports. 7(1). 2914–2914. 51 indexed citations
6.
Krunic, Nancy, et al.. (2007). xTAG™ RVP assay: analytical and clinical performance. Journal of Clinical Virology. 40. S39–S46. 60 indexed citations
7.
Holde, Kensal Van & Thomas D. Yager. (2003). Models for chromatin remodeling: a critical comparison. Biochemistry and Cell Biology. 81(3). 169–172. 29 indexed citations
8.
Yager, Thomas D., et al.. (2002). A general approach to the analysis of errors and failure modes in the base-calling function in automated fluorescent DNA sequencing. Electrophoresis. 23(16). 2720–2728. 4 indexed citations
9.
Chan, David W. & Thomas D. Yager. (1998). Preparation and imaging of nuclear spreads from cells of the zebrafish embryo. Chromosoma. 107(1). 39–60. 13 indexed citations
10.
Rosenblum, Norman D. & Thomas D. Yager. (1997). Changing patterns of gene expression in developing mouse kidney, as probed by differential mRNA display combined with cDNA library screening. Kidney International. 51(3). 920–925. 8 indexed citations
11.
Yager, Thomas D., et al.. (1997). High-speed DNA sequencing in ultrathin slab gels. Current Opinion in Biotechnology. 8(1). 107–113. 2 indexed citations
12.
13.
14.
Hippel, Peter H. von, Thomas D. Yager, & Stanley C. Gill. (1992). 7 Quantitative Aspects of the Transcription Cycle in Escherichia coli. Cold Spring Harbor Monograph Archive. 179–201. 5 indexed citations
15.
Geiselmann, Johannes, et al.. (1992). Physical properties of the Escherichia coli transcription termination factor rho. 2. Quaternary structure of the rho hexamer. Biochemistry. 31(1). 121–132. 50 indexed citations
16.
Geiselmann, Johannes, Thomas D. Yager, Stanley C. Gill, P. Calmettes, & Peter H. von Hippel. (1992). Physical properties of the Escherichia coli transcription termination factor rho. 1. Association states and geometry of the rho hexamer. Biochemistry. 31(1). 111–121. 64 indexed citations
17.
Geiselmann, Johannes, Thomas D. Yager, & Peter H. von Hippel. (1992). Functional interactions of ligand cofactors with Escherichia coli transcription termination factor rho. II. Binding of RNA. Protein Science. 1(7). 861–873. 21 indexed citations
18.
Yager, Thomas D. & Peter H. von Hippel. (1991). A thermodynamic analysis of RNA transcript elongation and termination in Escherichia coli. Biochemistry. 30(4). 1097–1118. 170 indexed citations
19.
Yager, Thomas D., D. A. Nickerson, & L Hood. (1991). The human genome project: creating an infrastructure for biology and medicine. Trends in Biochemical Sciences. 16(12). 454–454. 13 indexed citations
20.
Gill, Stanley C., Thomas D. Yager, & Peter H. von Hippel. (1990). Thermodynamic analysis of the transcription cycle in E. coli. Biophysical Chemistry. 37(1-3). 239–250. 14 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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