Ivan H.A. Curran

18 total papers · 557 total citations
16 papers, 461 citations indexed

About

Ivan H.A. Curran is a scholar working on Health, Toxicology and Mutagenesis, Molecular Biology and Pathology and Forensic Medicine. According to data from OpenAlex, Ivan H.A. Curran has authored 16 papers receiving a total of 461 indexed citations (citations by other indexed papers that have themselves been cited), including 5 papers in Health, Toxicology and Mutagenesis, 4 papers in Molecular Biology and 4 papers in Pathology and Forensic Medicine. Recurrent topics in Ivan H.A. Curran's work include Toxic Organic Pollutants Impact (4 papers), Effects and risks of endocrine disrupting chemicals (4 papers) and Phytoestrogen effects and research (4 papers). Ivan H.A. Curran is often cited by papers focused on Toxic Organic Pollutants Impact (4 papers), Effects and risks of endocrine disrupting chemicals (4 papers) and Phytoestrogen effects and research (4 papers). Ivan H.A. Curran collaborates with scholars based in Canada and United States. Ivan H.A. Curran's co-authors include Gerard M. Cooke, Cynthia G. Goodyer, Xu‐Liang Cao, Mark J. McVey, Hari M. Vijay, Jie Zhang, Harold Rode, Gauri Muradia, Rekha Mehta and Jie Zhang and has published in prestigious journals such as The Science of The Total Environment, FEBS Letters and Chemosphere.

In The Last Decade

Ivan H.A. Curran

16 papers receiving 445 citations

Author Peers

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

Author Last Decade Papers Cites
Ivan H.A. Curran 220 85 65 57 53 16 461
Thomas Stroheker 258 1.2× 39 0.5× 70 1.1× 48 0.8× 41 0.8× 19 525
W.R.F. Notten 178 0.8× 21 0.2× 42 0.6× 107 1.9× 53 1.0× 19 438
A. de Klerk 182 0.8× 18 0.2× 89 1.4× 28 0.5× 42 0.8× 13 421
C. M. Parker 83 0.4× 34 0.4× 77 1.2× 67 1.2× 108 2.0× 15 441
R. D. Brown 89 0.4× 13 0.2× 98 1.5× 78 1.4× 64 1.2× 26 551
Joost P. Bruijntjes 95 0.4× 18 0.2× 89 1.4× 68 1.2× 16 0.3× 14 477
Yong Zhang 36 0.2× 19 0.2× 188 2.9× 51 0.9× 40 0.8× 30 535
Isabelle Langonné 241 1.1× 40 0.5× 56 0.9× 73 1.3× 27 0.5× 25 461
Tao Zheng 45 0.2× 29 0.3× 91 1.4× 20 0.4× 37 0.7× 15 495
Giulia Anzalone 106 0.5× 24 0.3× 130 2.0× 55 1.0× 9 0.2× 25 509

Countries citing papers authored by Ivan H.A. Curran

Since Specialization
Citations

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

Fields of papers citing papers by Ivan H.A. Curran

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Ivan H.A. Curran. 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 Ivan H.A. Curran. The network helps show where Ivan H.A. Curran may publish in the future.

Co-authorship network of co-authors of Ivan H.A. Curran

This figure shows the co-authorship network connecting the top 25 collaborators of Ivan H.A. Curran. A scholar is included among the top collaborators of Ivan H.A. Curran 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 Ivan H.A. Curran. Ivan H.A. Curran 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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