Angus Nedderman

779 total citations
9 papers, 549 citations indexed

About

Angus Nedderman is a scholar working on Pharmacology, Molecular Biology and Animal Science and Zoology. According to data from OpenAlex, Angus Nedderman has authored 9 papers receiving a total of 549 indexed citations (citations by other indexed papers that have themselves been cited), including 4 papers in Pharmacology, 2 papers in Molecular Biology and 2 papers in Animal Science and Zoology. Recurrent topics in Angus Nedderman's work include Pharmacogenetics and Drug Metabolism (4 papers), Hormonal and reproductive studies (2 papers) and Metabolomics and Mass Spectrometry Studies (2 papers). Angus Nedderman is often cited by papers focused on Pharmacogenetics and Drug Metabolism (4 papers), Hormonal and reproductive studies (2 papers) and Metabolomics and Mass Spectrometry Studies (2 papers). Angus Nedderman collaborates with scholars based in United States, United Kingdom and Switzerland. Angus Nedderman's co-authors include Chandra Prakash, Christopher L. Shaffer, Deepak Dalvie, R. Scott Obach, Hai‐Zhi Bu, Raman Sharma, Ping Kang, Dennis A. Smith, Lance Goulet and Cho‐Ming Loi and has published in prestigious journals such as Journal of Medicinal Chemistry, The Analyst and Chemical Research in Toxicology.

In The Last Decade

Angus Nedderman

9 papers receiving 531 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Angus Nedderman United States	7	268	201	175	87	66	9	549
M. Reza Anari Canada	13	222 0.8×	145 0.7×	161 0.9×	79 0.9×	34 0.5×	17	647
Robert Espina United States	14	245 0.9×	183 0.9×	103 0.6×	50 0.6×	32 0.5×	18	517
Iain G. Beattie United Kingdom	9	301 1.1×	134 0.7×	323 1.8×	52 0.6×	35 0.5×	14	626
Linning Yu United States	13	223 0.8×	172 0.9×	60 0.3×	163 1.9×	36 0.5×	14	593
Leena Luukkanen Finland	14	241 0.9×	316 1.6×	139 0.8×	128 1.5×	15 0.2×	20	630
Paweł Baranczewski Sweden	14	311 1.2×	228 1.1×	59 0.3×	128 1.5×	50 0.8×	31	687
John R. Soglia United States	16	386 1.4×	461 2.3×	191 1.1×	175 2.0×	161 2.4×	20	956
Timothy J. Strelevitz United States	9	237 0.9×	402 2.0×	75 0.4×	248 2.9×	58 0.9×	13	722
Ksenija Kuhajda Serbia	15	205 0.8×	55 0.3×	157 0.9×	242 2.8×	60 0.9×	42	606
William J. Leavens United Kingdom	12	233 0.9×	80 0.4×	381 2.2×	40 0.5×	33 0.5×	18	654

Countries citing papers authored by Angus Nedderman

Since Specialization

Citations

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

Fields of papers citing papers by Angus Nedderman

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Angus Nedderman

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

All Works

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9 of 9 papers shown

Vourvahis, Manoli, Lynn McFadyen, Sunil Nepal, et al.. (2018). No Clinical Impact of CYP3A5 Gene Polymorphisms on the Pharmacokinetics and/or Efficacy of Maraviroc in Healthy Volunteers and HIV‐1–Infected Subjects. The Journal of Clinical Pharmacology. 59(1). 139–152. 3 indexed citations

Skerratt, S., Mark D. Andrews, Sharan K. Bagal, et al.. (2016). The Discovery of a Potent, Selective, and Peripherally Restricted Pan-Trk Inhibitor (PF-06273340) for the Treatment of Pain. Journal of Medicinal Chemistry. 59(22). 10084–10099. 58 indexed citations

Nedderman, Angus. (2011). The Use of Accelerator MS in Support of Mist. Bioanalysis. 3(24). 2695–2699. 3 indexed citations

Walker, Don K., Deepak Dalvie, John D. Davis, et al.. (2009). A Holistic Strategy for Characterizing the Safety of Metabolites through Drug Discovery and Development. Chemical Research in Toxicology. 22(10). 1653–1662. 44 indexed citations

Dalvie, Deepak, R. Scott Obach, Ping Kang, et al.. (2009). Assessment of Three Human in Vitro Systems in the Generation of Major Human Excretory and Circulating Metabolites. Chemical Research in Toxicology. 22(2). 357–368. 135 indexed citations

Prakash, Chandra, et al.. (2008). In Vitro Screening Techniques for Reactive Metabolites for Minimizing Bioactivation Potential in Drug Discovery. Current Drug Metabolism. 9(9). 952–964. 46 indexed citations

Prakash, Chandra, Christopher L. Shaffer, & Angus Nedderman. (2007). Analytical strategies for identifying drug metabolites. Mass Spectrometry Reviews. 26(3). 340–369. 216 indexed citations

Anderson, Sean C., et al.. (1998). Residues and metabolism of 19-nortestosterone laurate in steers†. The Analyst. 123(12). 2653–2660. 21 indexed citations

Nedderman, Angus, et al.. (1998). Study of the metabolism of testosterone, nandrolone and estradiol in cattle†. The Analyst. 123(12). 2401–2404. 23 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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