James T. Vail

630 total citations
10 papers, 436 citations indexed

About

James T. Vail is a scholar working on Molecular Biology, Dermatology and Physical and Theoretical Chemistry. According to data from OpenAlex, James T. Vail has authored 10 papers receiving a total of 436 indexed citations (citations by other indexed papers that have themselves been cited), including 4 papers in Molecular Biology, 3 papers in Dermatology and 3 papers in Physical and Theoretical Chemistry. Recurrent topics in James T. Vail's work include History and advancements in chemistry (3 papers), Porphyrin Metabolism and Disorders (2 papers) and Chemical Safety and Risk Management (2 papers). James T. Vail is often cited by papers focused on History and advancements in chemistry (3 papers), Porphyrin Metabolism and Disorders (2 papers) and Chemical Safety and Risk Management (2 papers). James T. Vail collaborates with scholars based in United States, Denmark and Canada. James T. Vail's co-authors include Richard Judson, Doris Smith, Peter Egeghy, Sumit Gangwal, Elaine A. Cohen Hubal, Tommy Cathey, Alicia M. Frame, Alexi Ernstoff, Kathie L. Dionisio and Peter Fantke and has published in prestigious journals such as JAMA, The Science of The Total Environment and International Journal of Molecular Sciences.

In The Last Decade

James T. Vail

9 papers receiving 415 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
James T. Vail United States	8	187	97	92	48	43	10	436
Dinant Kroese Netherlands	11	260 1.4×	83 0.9×	60 0.7×	99 2.1×	167 3.9×	15	596
Colin M. North United States	10	159 0.9×	116 1.2×	46 0.5×	42 0.9×	99 2.3×	25	576
Jeanette Wiltse United States	6	247 1.3×	125 1.3×	56 0.6×	79 1.6×	228 5.3×	7	568
Paul S. Price United States	12	324 1.7×	54 0.6×	63 0.7×	69 1.4×	79 1.8×	23	530
Ammie N. Bachman United States	11	263 1.4×	138 1.4×	51 0.6×	74 1.5×	157 3.7×	14	556
Dorothy E. Patton United States	6	246 1.3×	106 1.1×	56 0.6×	62 1.3×	250 5.8×	9	566
Michael G. Bird United States	19	451 2.4×	166 1.7×	49 0.5×	19 0.4×	425 9.9×	46	962
Charles H. Sewall United States	11	391 2.1×	87 0.9×	16 0.2×	28 0.6×	234 5.4×	15	613
Ann Parker United States	11	149 0.8×	83 0.9×	16 0.2×	23 0.5×	98 2.3×	14	365
Betty C. Hakkert Netherlands	14	225 1.2×	73 0.8×	27 0.3×	112 2.3×	143 3.3×	18	481

Countries citing papers authored by James T. Vail

Since Specialization

Citations

This map shows the geographic impact of James T. Vail'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 T. Vail with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites James T. Vail more than expected).

Fields of papers citing papers by James T. Vail

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of James T. Vail

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

All Works

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10 of 10 papers shown

Dionisio, Kathie L., Alicia M. Frame, John F. Wambaugh, et al.. (2015). Exploring consumer exposure pathways and patterns of use for chemicals in the environment. Toxicology Reports. 2. 228–237. 92 indexed citations

Judson, Richard, Matthew T. Martin, Peter Egeghy, et al.. (2012). Aggregating Data for Computational Toxicology Applications: The U.S. Environmental Protection Agency (EPA) Aggregated Computational Toxicology Resource (ACToR) System. International Journal of Molecular Sciences. 13(2). 1805–1831. 73 indexed citations

Egeghy, Peter, Richard Judson, Sumit Gangwal, et al.. (2011). The exposure data landscape for manufactured chemicals. The Science of The Total Environment. 414. 159–166. 151 indexed citations

Lambert, W. Clark, et al.. (1990). The Muir-Torre (Torre's) syndrome: The significance of a solitary sebaceous tumor. Journal of the American Academy of Dermatology. 23(4). 638–640. 31 indexed citations

Vail, James T.. (1985). Cutaneous Xanthomas Associated With Chronic Myelomonocytic Leukemia. Archives of Dermatology. 121(10). 1318–1318. 18 indexed citations

Friis, B, N Hjorth, James T. Vail, & John C. Mitchell. (1975). Occupational contact dermatitis from Cichorium (chicory, endive) and Lactuca (lettuce). Contact Dermatitis. 1(5). 311–313. 25 indexed citations

Vail, James T.. (1974). False-Negative Reaction to Patch Testing With Volatile Compounds. Archives of Dermatology. 110(1). 130–130. 1 indexed citations

Vail, James T. & Marlene DeLuca. (1969). The effect of substrates on the hydrogen-tritium exchange of the isoleucyl-tRNA synthetase from E. coli. Archives of Biochemistry and Biophysics. 135(1). 60–65. 4 indexed citations

Vail, James T.. (1967). Porphyria Cutanea Tarda and Estrogens. JAMA. 201(9). 671–671. 17 indexed citations

10.

Vail, James T.. (1967). Porphyria cutanea tarda and estrogens.. PubMed. 201(9). 671–4. 24 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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