Dan D. Petersen

1.2k total citations
8 papers, 846 citations indexed

About

Dan D. Petersen is a scholar working on Molecular Biology, Health, Toxicology and Mutagenesis and Surgery. According to data from OpenAlex, Dan D. Petersen has authored 8 papers receiving a total of 846 indexed citations (citations by other indexed papers that have themselves been cited), including 5 papers in Molecular Biology, 3 papers in Health, Toxicology and Mutagenesis and 1 paper in Surgery. Recurrent topics in Dan D. Petersen's work include RNA and protein synthesis mechanisms (3 papers), Effects and risks of endocrine disrupting chemicals (2 papers) and Air Quality and Health Impacts (1 paper). Dan D. Petersen is often cited by papers focused on RNA and protein synthesis mechanisms (3 papers), Effects and risks of endocrine disrupting chemicals (2 papers) and Air Quality and Health Impacts (1 paper). Dan D. Petersen collaborates with scholars based in United States. Dan D. Petersen's co-authors include D K Granner, Stephen R. Koch, Timothy P. Cripe, Elmus Beale, Teresa L. Andreone, Kazuo Sasaki, Mark A. Magnuson, Qin Zhao, Jason C. Lambert and Scott C. Wesselkamper and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Journal of Biological Chemistry and Molecular and Cellular Biology.

In The Last Decade

Dan D. Petersen

8 papers receiving 828 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Dan D. Petersen United States 8 522 178 161 138 101 8 846
Mengxi Jiang United States 15 269 0.5× 114 0.6× 108 0.7× 118 0.9× 32 0.3× 24 672
M. W. Khalil Canada 18 245 0.5× 259 1.5× 93 0.6× 297 2.2× 30 0.3× 39 884
Peter Juvan Slovenia 16 355 0.7× 85 0.5× 65 0.4× 34 0.2× 71 0.7× 30 670
Fumio Chatani Japan 18 269 0.5× 74 0.4× 72 0.4× 176 1.3× 48 0.5× 44 939
Heather B. Clair United States 13 344 0.7× 54 0.3× 70 0.4× 89 0.6× 221 2.2× 14 1.1k
Lascelles E. Lyn‐Cook United States 20 566 1.1× 128 0.7× 72 0.4× 57 0.4× 68 0.7× 55 1.1k
Silvia I. Anghel Switzerland 11 409 0.8× 128 0.7× 56 0.3× 36 0.3× 220 2.2× 12 848
Yoav Timsit United States 11 198 0.4× 115 0.6× 36 0.2× 127 0.9× 76 0.8× 15 581
Yuan Cortez United States 14 332 0.6× 73 0.4× 183 1.1× 161 1.2× 21 0.2× 20 661
Daniela Montanaro Italy 9 344 0.7× 389 2.2× 74 0.5× 153 1.1× 36 0.4× 10 856

Countries citing papers authored by Dan D. Petersen

Since Specialization
Citations

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

Fields of papers citing papers by Dan D. Petersen

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Dan D. Petersen

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

All Works

8 of 8 papers shown
1.
Fulk, Florence, Erin N. Haynes, Timothy Hilbert, et al.. (2016). Comparison of stationary and personal air sampling with an air dispersion model for children’s ambient exposure to manganese. Journal of Exposure Science & Environmental Epidemiology. 26(5). 494–502. 13 indexed citations
2.
Thomas, Russell S., Scott C. Wesselkamper, Nina Ching Y. Wang, et al.. (2013). Temporal Concordance Between Apical and Transcriptional Points of Departure for Chemical Risk Assessment. Toxicological Sciences. 134(1). 180–194. 154 indexed citations
3.
Zhao, Qin, et al.. (2012). Application of computational toxicological approaches in human health risk assessment. I. A tiered surrogate approach. Regulatory Toxicology and Pharmacology. 63(1). 10–19. 33 indexed citations
4.
Petersen, Dan D.. (2010). Common plant toxicology: A comparison of national and Southwest Ohio data trends on plant poisonings in the 21st century. Toxicology and Applied Pharmacology. 254(2). 148–153. 19 indexed citations
5.
Petersen, Dan D., Stephen R. Koch, & D K Granner. (1989). 3' noncoding region of phosphoenolpyruvate carboxykinase mRNA contains a glucocorticoid-responsive mRNA-stabilizing element.. Proceedings of the National Academy of Sciences. 86(20). 7800–7804. 99 indexed citations
6.
Petersen, Dan D., Mark A. Magnuson, & D K Granner. (1988). Location and characterization of two widely separated glucocorticoid response elements in the phosphoenolpyruvate carboxykinase gene.. Molecular and Cellular Biology. 8(1). 96–104. 101 indexed citations
7.
Petersen, Dan D., Mark A. Magnuson, & Daryl K. Granner. (1988). Location and Characterization of Two Widely Separated Glucocorticoid Response Elements in the Phosphoenolpyruvate Carboxykinase Gene. Molecular and Cellular Biology. 8(1). 96–104. 25 indexed citations
8.
Sasaki, Kazuo, Timothy P. Cripe, Stephen R. Koch, et al.. (1984). Multihormonal regulation of phosphoenolpyruvate carboxykinase gene transcription. The dominant role of insulin.. Journal of Biological Chemistry. 259(24). 15242–15251. 402 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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