Nigel Greene

54 papers receiving 2.5k citations

Nigel Greene's Hit Papers

Physiochemical drug properties associated with in vivo toxicological outcomes 2008 · 675 citations
6750+6+12Years since publication200400600

Peers

Nigel Greene
Comparison fields: 5 of 147
  • Computational Theory and Mathematics 1.3k
  • Pharmacology 603
  • Chemical Health and Safety 20
  • Small Animals 153
  • Spectroscopy 312
Replace Naomi L. Kruhlak with:
Naomi L. Kruhlak United States
Lothar Terfloth Germany
Alexander Sedykh United States
Hong Fang United States
Hongbin Yang China
Vijay K. Gombar United States
Philip N. Judson United Kingdom
Chihae Yang United States
Nina Jeliazkova Bulgaria
Scott Boyer Sweden
Nigel Greene relative to Naomi L. Kruhlak United States Naomi L. Kruhlak's profile →
Citations per field
00.5×2.9×
Naomi L. Kruhlak · 1×
Citations per year

Countries citing papers authored by Nigel Greene

Since Specialization
Citations

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

Fields of papers citing papers by Nigel Greene

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Nigel Greene, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Nigel Greene Line = papers co-authored together Nigel Greene links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 56 papers — load more, or switch the sort, to bring in the rest.

#Work
1
Physiochemical drug properties associated with in vivo toxicological outcomes
Hit paper breakdown →
2008675
2 1999196
3 2002128
4 2010127
5 2009107
6 2015106
7 200691
8 201388
9
In vitro elution of tobramycin and vancomycin polymethylmethacrylate beads and spacers from Simplex and Palacos.
199876
10 201374
11 200773
12 201262
13 202159
14 201259
15 201053
16 202246
17 201643
18 201341
19 200537
20 201535

About Nigel Greene

Nigel Greene is a scholar working on Computational Theory and Mathematics, Molecular Biology, Pharmacology, Small Animals and Cancer Research, having authored 56 papers that have together received 2.7k indexed citations. Recurring topics across this work include Computational Drug Discovery Methods (38 papers), Pharmacogenetics and Drug Metabolism (15 papers), Animal testing and alternatives (10 papers), Carcinogens and Genotoxicity Assessment (9 papers), Analytical Chemistry and Chromatography (7 papers), Chemistry and Chemical Engineering (5 papers), Receptor Mechanisms and Signaling (4 papers) and Machine Learning in Materials Science (3 papers). The work is most often cited by research in Computational Theory and Mathematics (1.3k citations), Pharmacology (603 citations), Chemical Health and Safety (20 citations), Small Animals (153 citations) and Spectroscopy (312 citations). Nigel Greene has collaborated with scholars based in United States, United Kingdom and Sweden. Frequent co-authors include David A. Price, Travis T. Wager, Julian Blagg, Russell Naven, Philip N. Judson, J. J. Langowski, Carol A. Marchant, Falgun Shah, Jens Loesel and Gary DeCrescenzo. Their work appears in journals such as Regulatory Toxicology and Pharmacology, Chemical Research in Toxicology, Bioorganic & Medicinal Chemistry Letters, Expert Opinion on Drug Metabolism & Toxicology and Toxicological Sciences.

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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