Kris Thayer

2.8k total citations · 1 hit paper
9 papers, 804 citations indexed

About

Kris Thayer is a scholar working on Health, Toxicology and Mutagenesis, Economics and Econometrics and Statistics, Probability and Uncertainty. According to data from OpenAlex, Kris Thayer has authored 9 papers receiving a total of 804 indexed citations (citations by other indexed papers that have themselves been cited), including 4 papers in Health, Toxicology and Mutagenesis, 4 papers in Economics and Econometrics and 4 papers in Statistics, Probability and Uncertainty. Recurrent topics in Kris Thayer's work include Meta-analysis and systematic reviews (4 papers), Health Systems, Economic Evaluations, Quality of Life (4 papers) and Health Policy Implementation Science (3 papers). Kris Thayer is often cited by papers focused on Meta-analysis and systematic reviews (4 papers), Health Systems, Economic Evaluations, Quality of Life (4 papers) and Health Policy Implementation Science (3 papers). Kris Thayer collaborates with scholars based in United States, Canada and United Kingdom. Kris Thayer's co-authors include Carlos A. Cuello‐García, Holger J. Schünemann, Rebecca L. Morgan, Gordon Guyatt, Srinivasa Vittal Katikireddi, Joerg J Meerpohl, Reem A. Mustafa, Elie A. Akl, Gerald Gartlehner and Jonathan A C Sterne and has published in prestigious journals such as Journal of Clinical Epidemiology, Environment International and ALTEX.

In The Last Decade

Kris Thayer

8 papers receiving 796 citations

Hit Papers

GRADE guidelines: 18. How ROBINS-I and other tools to ass... 2018 2026 2020 2023 2018 100 200 300 400 500

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Kris Thayer United States 7 133 111 106 90 88 9 804
Yi Pan United States 17 62 0.5× 151 1.4× 102 1.0× 27 0.3× 92 1.0× 51 967
Theodore Holford United States 13 141 1.1× 177 1.6× 139 1.3× 44 0.5× 80 0.9× 23 1.3k
Fred Paccaud Switzerland 16 164 1.2× 40 0.4× 85 0.8× 113 1.3× 121 1.4× 36 883
Richard Pinder United Kingdom 16 185 1.4× 111 1.0× 54 0.5× 7 0.1× 123 1.4× 43 1.0k
D A Savitz United States 17 272 2.0× 405 3.6× 101 1.0× 16 0.2× 65 0.7× 35 1.3k
Francisco Franco‐Marina Mexico 19 158 1.2× 130 1.2× 108 1.0× 4 0.0× 133 1.5× 47 1.1k
Yi‐Hao Weng Taiwan 21 170 1.3× 187 1.7× 111 1.0× 59 0.7× 322 3.7× 63 1.6k
N. Kyle Steenland United States 18 137 1.0× 364 3.3× 39 0.4× 6 0.1× 174 2.0× 23 1.2k
Mark Walker Canada 18 203 1.5× 296 2.7× 58 0.5× 6 0.1× 212 2.4× 59 1.2k
Jeffrey Dwyer United States 12 159 1.2× 260 2.3× 75 0.7× 12 0.1× 158 1.8× 26 1.1k

Countries citing papers authored by Kris Thayer

Since Specialization
Citations

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

Fields of papers citing papers by Kris Thayer

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Kris Thayer

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

All Works

9 of 9 papers shown
1.
Maertens, Alexandra, Eric Bridgeford, Céline Brochot, et al.. (2025). From cellular perturbation to probabilistic risk assessments. ALTEX. 42(3). 413–434.
2.
Cuello‐García, Carlos A., Rebecca L. Morgan, Jan Brożek, et al.. (2022). Case studies to explore the optimal use of randomized and nonrandomized studies in evidence syntheses that use GRADE. Journal of Clinical Epidemiology. 152. 56–69. 6 indexed citations
3.
Williams, Antony, Jason C. Lambert, Kris Thayer, & J.L.C.M. Dorne. (2021). Sourcing data on chemical properties and hazard data from the US-EPA CompTox Chemicals Dashboard: A practical guide for human risk assessment. Environment International. 154. 106566–106566. 44 indexed citations
4.
Cuello‐García, Carlos A., Nancy Santesso, Rebecca L. Morgan, et al.. (2021). GRADE guidance 24 optimizing the integration of randomized and non-randomized studies of interventions in evidence syntheses and health guidelines. Journal of Clinical Epidemiology. 142. 200–208. 82 indexed citations
5.
DeLuca, Nicole M., et al.. (2020). Human exposure pathways to poly- and perfluoroalkyl substances (PFAS) from indoor media: A systematic review protocol. Environment International. 146. 106308–106308. 74 indexed citations
6.
Dishaw, Laura, et al.. (2020). A novel study evaluation strategy in the systematic review of animal toxicology studies for human health assessments of environmental chemicals. Environment International. 141. 105736–105736. 7 indexed citations
7.
DeLuca, Nicole M., et al.. (2020). Human exposure pathways to poly- and perfluoroalkyl substances (PFAS) from indoor media: A systematic review. ISEE Conference Abstracts. 2020(1). 3 indexed citations
8.
Cuello‐García, Carlos A., Rebecca L. Morgan, Jan Brożek, et al.. (2018). A scoping review and survey provides the rationale, perceptions, and preferences for the integration of randomized and nonrandomized studies in evidence syntheses and GRADE assessments. Journal of Clinical Epidemiology. 98. 33–40. 24 indexed citations
9.
Schünemann, Holger J., Carlos A. Cuello‐García, Elie A. Akl, et al.. (2018). GRADE guidelines: 18. How ROBINS-I and other tools to assess risk of bias in nonrandomized studies should be used to rate the certainty of a body of evidence. Journal of Clinical Epidemiology. 111. 105–114. 564 indexed citations breakdown →

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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