Joel P. Bercu

66 total papers · 1.6k total citations
45 papers, 715 citations indexed

About

Joel P. Bercu is a scholar working on Health, Toxicology and Mutagenesis, Cancer Research and Computational Theory and Mathematics. According to data from OpenAlex, Joel P. Bercu has authored 45 papers receiving a total of 715 indexed citations (citations by other indexed papers that have themselves been cited), including 20 papers in Health, Toxicology and Mutagenesis, 20 papers in Cancer Research and 10 papers in Computational Theory and Mathematics. Recurrent topics in Joel P. Bercu's work include Carcinogens and Genotoxicity Assessment (20 papers), Effects and risks of endocrine disrupting chemicals (16 papers) and Computational Drug Discovery Methods (10 papers). Joel P. Bercu is often cited by papers focused on Carcinogens and Genotoxicity Assessment (20 papers), Effects and risks of endocrine disrupting chemicals (16 papers) and Computational Drug Discovery Methods (10 papers). Joel P. Bercu collaborates with scholars based in United States, United Kingdom and Germany. Joel P. Bercu's co-authors include David G. Dolan, Krista L. Dobo, Patricia A. Weideman, Eric J. Morinello, Susanne Glowienke, John Nicolette, Neil J. Parke, M. Vijayaraj Reddy, Roger D. Meyerhoff and Robert A. Jolly and has published in prestigious journals such as Clinical Pharmacology & Therapeutics, Chemical Research in Toxicology and Critical Reviews in Toxicology.

In The Last Decade

Joel P. Bercu

40 papers receiving 658 citations

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author						Papers	Cites
Joel P. Bercu	198	198	152	102	85	45	715
Susanne Glowienke	171 0.9×	236 1.2×	136 0.9×	221 2.2×	94 1.1×	28	694
Wolfgang Muster	85 0.4×	191 1.0×	219 1.4×	323 3.2×	81 1.0×	26	734
Ulrike Bernauer	274 1.4×	222 1.1×	180 1.2×	51 0.5×	27 0.3×	40	848
Laura Custer	162 0.8×	306 1.5×	212 1.4×	174 1.7×	61 0.7×	22	668
David J. Ponting	320 1.6×	153 0.8×	223 1.5×	84 0.8×	79 0.9×	37	723
Sébastien Gagné	115 0.6×	23 0.1×	137 0.9×	24 0.2×	47 0.6×	58	639
Warren W. Ku	104 0.5×	236 1.2×	239 1.6×	69 0.7×	192 2.3×	36	908
Jules Brodeur	354 1.8×	198 1.0×	105 0.7×	58 0.6×	47 0.6×	56	785
Andreas Czich	172 0.9×	272 1.4×	289 1.9×	168 1.6×	61 0.7×	30	863
Corie A. Ellison	274 1.4×	77 0.4×	56 0.4×	50 0.5×	12 0.1×	34	741

Countries citing papers authored by Joel P. Bercu

Since Specialization

Citations

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

Fields of papers citing papers by Joel P. Bercu

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Joel P. Bercu. 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 Joel P. Bercu. The network helps show where Joel P. Bercu may publish in the future.

Co-authorship network of co-authors of Joel P. Bercu

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

All Works

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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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