James Truax

1.4k total citations
25 papers, 1.2k citations indexed

About

James Truax is a scholar working on Cellular and Molecular Neuroscience, Plant Science and Small Animals. According to data from OpenAlex, James Truax has authored 25 papers receiving a total of 1.2k indexed citations (citations by other indexed papers that have themselves been cited), including 5 papers in Cellular and Molecular Neuroscience, 5 papers in Plant Science and 4 papers in Small Animals. Recurrent topics in James Truax's work include Pesticide Exposure and Toxicity (5 papers), Seaweed-derived Bioactive Compounds (4 papers) and Animal testing and alternatives (4 papers). James Truax is often cited by papers focused on Pesticide Exposure and Toxicity (5 papers), Seaweed-derived Bioactive Compounds (4 papers) and Animal testing and alternatives (4 papers). James Truax collaborates with scholars based in United States, Germany and Switzerland. James Truax's co-authors include Ralph Vinegar, J. L. Selph, Kwame McKenzie, Randy T. McConnell, Marvín I. Siegel, Pedro Cuatrecasas, Ned A. Porter, David Allen, Richard M. Welch and H. L. White and has published in prestigious journals such as SHILAP Revista de lepidopterología, Biochemical and Biophysical Research Communications and Journal of Medicinal Chemistry.

In The Last Decade

James Truax

25 papers receiving 1.0k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
James Truax United States 13 384 277 225 205 170 25 1.2k
David Bourdon United States 6 346 0.9× 158 0.6× 182 0.8× 265 1.3× 120 0.7× 13 935
SHEIKH A. SAEED Pakistan 18 310 0.8× 192 0.7× 179 0.8× 145 0.7× 144 0.8× 71 1.2k
Kenji Kobata Japan 23 468 1.2× 152 0.5× 288 1.3× 273 1.3× 247 1.5× 61 1.7k
Zahra Fatehi‐Hassanabad Iran 15 271 0.7× 249 0.9× 214 1.0× 183 0.9× 129 0.8× 35 1.0k
J. N. Sharma Malaysia 8 471 1.2× 150 0.5× 203 0.9× 128 0.6× 120 0.7× 14 1.3k
Kang‐Hyun Leem South Korea 23 655 1.7× 235 0.8× 229 1.0× 105 0.5× 259 1.5× 96 1.5k
Masaki Kamakura Japan 23 398 1.0× 192 0.7× 132 0.6× 110 0.5× 374 2.2× 49 1.8k
Nara Lins Meira Quintão Brazil 23 436 1.1× 207 0.7× 311 1.4× 375 1.8× 244 1.4× 71 1.5k
Zhen‐Lun Gu China 26 794 2.1× 235 0.8× 152 0.7× 211 1.0× 140 0.8× 79 1.7k
Kohji Yamaguchi Japan 26 561 1.5× 199 0.7× 208 0.9× 84 0.4× 125 0.7× 51 1.6k

Countries citing papers authored by James Truax

Since Specialization
Citations

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

Fields of papers citing papers by James Truax

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of James Truax

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

All Works

20 of 20 papers shown
1.
Herzler, Matthias, David Allen, Dori R. Germolec, et al.. (2024). Use of human predictive patch test (HPPT) data for the classification of skin sensitization hazard and potency. Archives of Toxicology. 98(5). 1253–1269. 11 indexed citations
2.
Strickland, Judy, David Allen, John Gordon, et al.. (2023). A database of human predictive patch test data for skin sensitization. Archives of Toxicology. 97(11). 2825–2837. 8 indexed citations
3.
Ceger, Patricia, David Allen, Neepa Choksi, et al.. (2023). Evaluation of the fish acute toxicity test for pesticide registration. Regulatory Toxicology and Pharmacology. 139. 105340–105340. 7 indexed citations
4.
Strickland, Judy, James Truax, Marco Corvaro, et al.. (2022). Application of Defined Approaches for Skin Sensitization to Agrochemical Products. SHILAP Revista de lepidopterología. 4. 852856–852856. 14 indexed citations
5.
Rooney, John P., Neepa Choksi, Patricia Ceger, et al.. (2021). Analysis of variability in the rabbit skin irritation assay. Regulatory Toxicology and Pharmacology. 122. 104920–104920. 30 indexed citations
6.
Choksi, Neepa, James Truax, Joanna Matheson, et al.. (2018). United States regulatory requirements for skin and eye irritation testing. Cutaneous and Ocular Toxicology. 38(2). 141–155. 20 indexed citations
7.
Haseman, Joseph K., David Allen, Elizabeth A. Lipscomb, James Truax, & William S. Stokes. (2011). Using fewer animals to identify chemical eye hazards: Revised criteria necessary to maintain equivalent hazard classification. Regulatory Toxicology and Pharmacology. 61(1). 98–104. 2 indexed citations
8.
Worley, Jennings F., et al.. (2002). Titration of K ATP Channel Expression in Mammalian Cells Utilizing Recombinant Baculovirus Transduction. 8(2). 99–111. 18 indexed citations
9.
Worley, Jennings F., et al.. (2002). Titration of K ATP Channel Expression in Mammalian Cells Utilizing Recombinant Baculovirus Transduction. PubMed. 8(2). 99–111. 28 indexed citations
10.
Vinegar, Ralph, et al.. (1990). New analgesic assay utilizing trypsin-induced hyperalgesia in the hind limb of the rat. Journal of Pharmacological Methods. 23(1). 51–61. 9 indexed citations
11.
Vinegar, Ralph, et al.. (1989). Pharmacological characterization of the algesic response to the subplantar injection of serotonin in the rat. European Journal of Pharmacology. 164(3). 497–505. 8 indexed citations
12.
Krenitsky, Thomas A., et al.. (1989). Nucleosides of azathioprine and thiamiprine as antiarthritics. Journal of Medicinal Chemistry. 32(7). 1471–1475. 11 indexed citations
13.
Vinegar, Ralph, et al.. (1987). PATHWAY TO CARRAGEENANINDUCED INFLAMMATION OF THE HIND LIMB OF THE RAT. 46(1). 118–126. 261 indexed citations
14.
Vinegar, Ralph & James Truax. (1987). Pathways to inflammation. III. Introduction to and philosophy of the symposium.. PubMed. 46(1). 89–90. 2 indexed citations
15.
Vinegar, Ralph, et al.. (1987). Pathway to carrageenan-induced inflammation in the hind limb of the rat.. PubMed. 46(1). 118–26. 143 indexed citations
16.
Vinegar, Ralph, et al.. (1982). Pathway of onset, development, and decay of carrageenan pleurisy in the rat.. PubMed. 41(9). 2588–95. 83 indexed citations
17.
Siegel, Marvín I., Randy T. McConnell, Ned A. Porter, et al.. (1980). Aspirin-like drugs inhibit arachidonic acid metabolism via lipoxygenase and cyclo-oxygenase in rat neutrophils from carrageenan pleural exudates. Biochemical and Biophysical Research Communications. 92(2). 688–695. 95 indexed citations
18.
Vinegar, Ralph, et al.. (1979). Azathioprine Treatment of Adjuvant Arthritis. PubMed. 1(4). 497–520. 3 indexed citations
19.
Vinegar, Ralph, et al.. (1976). Quantitative comparison of the analgesic and anti-inflammatory activities of aspirin, phenacetin and acetaminophen in rodents. European Journal of Pharmacology. 37(1). 23–30. 93 indexed citations
20.
Vinegar, Ralph, James Truax, & J. L. Selph. (1973). Some Quantitative Temporal Characteristics of Carrageenin-Induced Pleurisy in the Rat. Experimental Biology and Medicine. 143(3). 711–714. 167 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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