Paul E. Dunlap

435 total citations
6 papers, 284 citations indexed

About

Paul E. Dunlap is a scholar working on Molecular Biology, Computational Theory and Mathematics and Pharmacology. According to data from OpenAlex, Paul E. Dunlap has authored 6 papers receiving a total of 284 indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Molecular Biology, 2 papers in Computational Theory and Mathematics and 2 papers in Pharmacology. Recurrent topics in Paul E. Dunlap's work include Metabolomics and Mass Spectrometry Studies (2 papers), Genomics, phytochemicals, and oxidative stress (2 papers) and Computational Drug Discovery Methods (2 papers). Paul E. Dunlap is often cited by papers focused on Metabolomics and Mass Spectrometry Studies (2 papers), Genomics, phytochemicals, and oxidative stress (2 papers) and Computational Drug Discovery Methods (2 papers). Paul E. Dunlap collaborates with scholars based in United States. Paul E. Dunlap's co-authors include Jonathan H. Freedman, Pierre R. Bushel, Yong Hwan Jin, Sandra J. McBride, Scott Alper, Brad Lackford, David A. Schwartz, Windy A. Boyd, Rebecca L. Laws and Scott S. Auerbach and has published in prestigious journals such as Proceedings of the National Academy of Sciences, International Journal of Molecular Sciences and PLoS Genetics.

In The Last Decade

Paul E. Dunlap

6 papers receiving 279 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Paul E. Dunlap United States	5	146	65	39	39	26	6	284
Xupeng Xing China	10	323 2.2×	48 0.7×	28 0.7×	24 0.6×	26 1.0×	18	514
Tracey D. Spurway United Kingdom	10	269 1.8×	81 1.2×	32 0.8×	61 1.6×	43 1.7×	15	536
Ewa Lis United States	9	286 2.0×	32 0.5×	18 0.5×	30 0.8×	4 0.2×	11	446
Sharon B. Stuard United States	10	105 0.7×	66 1.0×	19 0.5×	35 0.9×	9 0.3×	17	307
Jia-Sheng Wang China	8	150 1.0×	36 0.6×	7 0.2×	32 0.8×	18 0.7×	9	318
Olivier Blanck France	12	121 0.8×	51 0.8×	5 0.1×	30 0.8×	33 1.3×	20	326
Lynea Murphy United States	12	277 1.9×	41 0.6×	3 0.1×	44 1.1×	35 1.3×	18	413
Valentina Rubio United States	9	250 1.7×	44 0.7×	6 0.2×	16 0.4×	18 0.7×	10	349
Haruko SAKAI Japan	10	116 0.8×	64 1.0×	12 0.3×	13 0.3×	17 0.7×	40	390
Darren Kidd United Kingdom	6	85 0.6×	121 1.9×	5 0.1×	48 1.2×	17 0.7×	9	330

Countries citing papers authored by Paul E. Dunlap

Since Specialization

Citations

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

Fields of papers citing papers by Paul E. Dunlap

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Paul E. Dunlap

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

All Works

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6 of 6 papers shown

1.

Merrick, B. Alex, Negin P. Martin, Ashley M. Brooks, et al.. (2023). Insights into Repeated Renal Injury Using RNA-Seq with Two New RPTEC Cell Lines. International Journal of Molecular Sciences. 24(18). 14228–14228. 1 indexed citations

2.

Ramaiahgari, Sreenivasa, Stephen Ferguson, Julie R. Rice, et al.. (2021). Benchmark Concentrations for Untargeted Metabolomics Versus Transcriptomics for Liver Injury Compounds in In Vitro Liver Models. Toxicological Sciences. 181(2). 175–186. 17 indexed citations

3.

Ryan, Kristen, Madelyn C. Huang, Stephen Ferguson, et al.. (2019). Evaluating Sufficient Similarity of Botanical Dietary Supplements: Combining Chemical and In Vitro Biological Data. Toxicological Sciences. 172(2). 316–329. 17 indexed citations

4.

Ramaiahgari, Sreenivasa, Scott S. Auerbach, Julie R. Rice, et al.. (2019). The Power of Resolution: Contextualized Understanding of Biological Responses to Liver Injury Chemicals Using High-throughput Transcriptomics and Benchmark Concentration Modeling. Toxicological Sciences. 169(2). 553–566. 51 indexed citations

5.

Jin, Yong Hwan, et al.. (2008). Global Transcriptome and Deletome Profiles of Yeast Exposed to Transition Metals. PLoS Genetics. 4(4). e1000053–e1000053. 133 indexed citations

6.

Alper, Scott, Rebecca L. Laws, Brad Lackford, et al.. (2008). Identification of innate immunity genes and pathways using a comparative genomics approach. Proceedings of the National Academy of Sciences. 105(19). 7016–7021. 65 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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