Greg J. Carr

1.4k citations
21 papers · 1.2k · h-index 13

Impact in

Papers in

Greg J. Carr

21 papers receiving 1.1k citations

Peers

Greg J. Carr
Comparison fields: 5 of 120
  • Small Animals 293
  • Health, Toxicology and Mutagenesis 488
  • Pollution 265
  • Chemical Health and Safety 8
  • Pharmaceutical Science 52
Replace Natalie Burden with:
Natalie Burden United Kingdom
John M. Frazier United States
Shirlee W. Tan United States
Anne Gourmelon France
U. Kristen Germany
Elise Grignard Italy
Bart van der Burg Netherlands
Masatoshi Matsuo Japan
Christopher J. Borgert United States
Sander C. van der Linden Netherlands
Greg J. Carr relative to Natalie Burden United Kingdom Natalie Burden's profile →
Citations per field
00.5×1.5×2×2.4×
Natalie Burden · 1×
Citations per year

Countries citing papers authored by Greg J. Carr

Since Specialization
Citations

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

Fields of papers citing papers by Greg J. Carr

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Greg J. Carr. 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 Greg J. Carr. The network helps show where Greg J. Carr may publish in the future.

Co-authors

The 25 scholars most cited alongside Greg J. Carr, 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 Greg J. Carr Line = papers co-authored together Greg J. Carr links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 21 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2008520
2 1997117
3 199691
4 200289
5 199755
6 202053
7 201040
8 200137
9 202134
10 201926
11
The use of mycorrhizas in temperate and tropical forests
198620
12 199915
13 199914
14 202013
15 199511
16 19979
17 20217
18 19976
19 20204
20 19983

About Greg J. Carr

Greg J. Carr is a scholar working on Small Animals, Health, Toxicology and Mutagenesis, Pollution, Computational Theory and Mathematics and Dermatology, having authored 21 papers that have together received 1.2k indexed citations. Recurring topics across this work include Animal testing and alternatives (7 papers), Environmental Toxicology and Ecotoxicology (5 papers), Pharmaceutical and Antibiotic Environmental Impacts (4 papers), Computational Drug Discovery Methods (3 papers), Water Quality and Pollution Assessment (2 papers), Environmental Chemistry and Analysis (2 papers), Marine Biology and Environmental Chemistry (2 papers) and Contact Dermatitis and Allergies (2 papers). The work is most often cited by research in Small Animals (293 citations), Health, Toxicology and Mutagenesis (488 citations), Pollution (265 citations), Chemical Health and Safety (8 citations) and Pharmaceutical Science (52 citations). Greg J. Carr has collaborated with scholars based in United States, United Kingdom and Germany. Frequent co-authors include Scott E. Belanger, Th. Braunbeck, Jane M. Rawlings, Leon H. Bruner, Mark P Chamberlain, Rodger D. Curren, Scott D. Dyer, Khushi Gupta, W. T. Meyer and David J. Farrar. Their work appears in journals such as Toxicology in Vitro, Chemosphere, Food and Chemical Toxicology, Mutation Research/Genetic Toxicology and Environmental Mutagenesis and Journal of Hazardous Materials.

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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