Thomas B. Knudsen

12.4k total citations · 4 hit papers
132 papers, 8.0k citations indexed

About

Thomas B. Knudsen is a scholar working on Molecular Biology, Health, Toxicology and Mutagenesis and Small Animals. According to data from OpenAlex, Thomas B. Knudsen has authored 132 papers receiving a total of 8.0k indexed citations (citations by other indexed papers that have themselves been cited), including 63 papers in Molecular Biology, 35 papers in Health, Toxicology and Mutagenesis and 22 papers in Small Animals. Recurrent topics in Thomas B. Knudsen's work include Effects and risks of endocrine disrupting chemicals (30 papers), Animal testing and alternatives (22 papers) and Computational Drug Discovery Methods (15 papers). Thomas B. Knudsen is often cited by papers focused on Effects and risks of endocrine disrupting chemicals (30 papers), Animal testing and alternatives (22 papers) and Computational Drug Discovery Methods (15 papers). Thomas B. Knudsen collaborates with scholars based in United States, Netherlands and Germany. Thomas B. Knudsen's co-authors include Richard Judson, David J. Dix, Matthew T. Martin, Keith A. Houck, David M. Reif, Robert J. Kavlock, Nisha S. Sipes, Nicole Kleinstreuer, Ann M. Richard and Amar V. Singh and has published in prestigious journals such as Journal of Biological Chemistry, Journal of Clinical Investigation and Environmental Science & Technology.

In The Last Decade

Thomas B. Knudsen

128 papers receiving 7.9k 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.

Translocator protein (18kDa): new nomenclature for the peripheral-type benzodiazepine receptor based on its structure and molecular function

2006 1.1k citations Thomas B. Knudsen et al. profile →
ToxCast Chemical Landscape: Paving the Road to 21st Century Toxicology

2016 480 citations Richard Judson, Keith A. Houck et al. Chemical Research in Toxicology profile →
In Vitro Screening of Environmental Chemicals for Targeted Testing Prioritization: The ToxCast Project

2009 435 citations Richard Judson, Keith A. Houck et al. Environmental Health Perspectives profile →
Update on EPA’s ToxCast Program: Providing High Throughput Decision Support Tools for Chemical Risk Management

2012 354 citations Keith A. Houck, Richard Judson et al. Chemical Research in Toxicology profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Thomas B. Knudsen United States	45	2.9k	2.5k	1.4k	1.1k	786	132	8.0k
David M. Reif United States	46	2.0k 0.7×	2.8k 1.1×	1.3k 0.9×	1.1k 1.0×	612 0.8×	146	6.9k
Menghang Xia United States	45	3.2k 1.1×	1.5k 0.6×	1.9k 1.3×	684 0.6×	747 1.0×	231	7.6k
David J. Dix United States	59	4.5k 1.5×	3.7k 1.4×	2.1k 1.4×	1.5k 1.3×	1.3k 1.6×	131	11.3k
Russell S. Thomas United States	52	3.0k 1.0×	4.0k 1.6×	2.0k 1.4×	1.4k 1.2×	1.8k 2.3×	187	8.9k
Robert J. Kavlock United States	58	2.9k 1.0×	6.9k 2.7×	2.3k 1.6×	1.8k 1.6×	2.2k 2.8×	195	13.1k
Keith A. Houck United States	58	8.2k 2.8×	3.9k 1.5×	2.3k 1.6×	1.5k 1.4×	3.0k 3.8×	111	17.0k
Aldert H. Piersma Netherlands	52	2.8k 1.0×	3.8k 1.5×	262 0.2×	844 0.8×	1.3k 1.7×	245	8.8k
Nisha S. Sipes United States	30	1.2k 0.4×	1.7k 0.7×	780 0.5×	610 0.5×	393 0.5×	48	3.8k
Stephen Ferguson United States	38	1.6k 0.6×	1.1k 0.5×	528 0.4×	460 0.4×	572 0.7×	108	5.1k
Carole L. Yauk Canada	50	3.2k 1.1×	2.8k 1.1×	501 0.3×	410 0.4×	2.3k 2.9×	262	8.1k

Countries citing papers authored by Thomas B. Knudsen

Since Specialization

Citations

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

Fields of papers citing papers by Thomas B. Knudsen

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Thomas B. Knudsen

This figure shows the co-authorship network connecting the top 25 collaborators of Thomas B. Knudsen. A scholar is included among the top collaborators of Thomas B. Knudsen 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 B. Knudsen. Thomas B. Knudsen 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

Kaplan, Barbara L.F., Alan M. Hoberman, William Slikker, et al.. (2024). Protecting Human and Animal Health: The Road from Animal Models to New Approach Methods. Pharmacological Reviews. 76(2). 251–266. 12 indexed citations

Sakamuru, Srilatha, Dongping Ma, Nancy Baker, et al.. (2024). Development and validation of CYP26A1 inhibition assay for high‐throughput screening. Biotechnology Journal. 19(6). e2300659–e2300659. 3 indexed citations

Knudsen, Thomas B.. (2023). S27-27: Ontologies as the basis for in silico reconstruction of tissue dynamics. Toxicology Letters. 384. S55–S56. 1 indexed citations

Spencer, Richard G., Nancy Baker, Todd J. Zurlinden, et al.. (2023). Microglial dynamics, blood-brain barrier morphogenesis, and developmental toxicity: A brief review and computational model. Current Opinion in Toxicology. 36. 100419–100419. 2 indexed citations

Chang, Xiaoqing, Jessica Palmer, Annie Lumen, et al.. (2022). Quantitative in vitro to in vivo extrapolation for developmental toxicity potency of valproic acid analogues. Birth Defects Research. 114(16). 1037–1055. 14 indexed citations

Piersma, Aldert H., Nancy Baker, George P. Daston, et al.. (2022). Pluripotent stem cell assays: Modalities and applications for predictive developmental toxicity. Current Research in Toxicology. 3. 100074–100074. 13 indexed citations

Knudsen, Thomas B., Malte Spielmann, Sean G. Megason, & Elaine M. Faustman. (2021). Single‐cell profiling for advancing birth defects research and prevention. Birth Defects Research. 113(7). 546–559. 6 indexed citations

Stadler, H. Scott, Craig A. Peters, Renea Sturm, et al.. (2020). Meeting report on the NIDDK/AUA Workshop on Congenital Anomalies of External Genitalia: challenges and opportunities for translational research. Journal of Pediatric Urology. 16(6). 791–804. 7 indexed citations

Zurlinden, Todd J., Katerine S. Saili, Parth Kothiya, et al.. (2020). Profiling the ToxCast Library With a Pluripotent Human (H9) Stem Cell Line-Based Biomarker Assay for Developmental Toxicity. Toxicological Sciences. 174(2). 189–209. 38 indexed citations

10.

Knudsen, Thomas B., et al.. (2020). Retinoid signaling in skeletal development: Scoping the system for predictive toxicology. Reproductive Toxicology. 99. 109–130. 12 indexed citations

11.

Knudsen, Thomas B., et al.. (2020). Computational biology and in silico toxicodynamics. Current Opinion in Toxicology. 23-24(Oct-Dec 2020). 119–126. 10 indexed citations

12.

Saili, Katerine S., Jill A. Franzosa, Nancy Baker, et al.. (2019). Systems modeling of developmental vascular toxicity. Current Opinion in Toxicology. 15(1). 55–63. 17 indexed citations

13.

Wei, Zhengxi, Srilatha Sakamuru, Li Zhang, et al.. (2019). Identification and Profiling of Environmental Chemicals That Inhibit the TGFβ/SMAD Signaling Pathway. Chemical Research in Toxicology. 32(12). 2433–2444. 6 indexed citations

14.

Saili, Katerine S., Todd J. Zurlinden, Andrew J. Schwab, et al.. (2017). Blood‐brain barrier development: Systems modeling and predictive toxicology. Birth Defects Research. 109(20). 1680–1710. 60 indexed citations

15.

Hutson, M. Shane, Maxwell C. K. Leung, Nancy Baker, Richard M. Spencer, & Thomas B. Knudsen. (2017). Computational Model of Secondary Palate Fusion and Disruption. Chemical Research in Toxicology. 30(4). 965–979. 45 indexed citations

16.

Knudsen, Thomas B., et al.. (2017). Transformation pipelines for PROJ.4. EGUGA. 8050. 2 indexed citations

17.

Leung, Maxwell C. K., Jimmy Phuong, Nancy Baker, et al.. (2015). Systems Toxicology of Male Reproductive Development: Profiling 774 Chemicals for Molecular Targets and Adverse Outcomes. Environmental Health Perspectives. 124(7). 1050–1061. 43 indexed citations

18.

Judson, Richard, Holly M. Mortensen, Imran Shah, Thomas B. Knudsen, & Fathi Elloumi. (2011). Using pathway modules as targets for assay development in xenobiotic screening. Molecular BioSystems. 8(2). 531–542. 13 indexed citations

19.

Resta, Regina, Scott W. Hooker, Saifur Rahman, et al.. (1997). Insights into thymic purine metabolism and adenosine deaminase deficiency revealed by transgenic mice overexpressing ecto-5'-nucleotidase (CD73).. Journal of Clinical Investigation. 99(4). 676–683. 36 indexed citations

20.

Gao, Xiang, et al.. (1996). Teratogen-induced eye defects mediated by p53-dependent apoptosis. Current Biology. 6(1). 60–69. 60 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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