John C. Downing

435 total citations
8 papers, 347 citations indexed

About

John C. Downing is a scholar working on Molecular Biology, Endocrinology, Diabetes and Metabolism and Infectious Diseases. According to data from OpenAlex, John C. Downing has authored 8 papers receiving a total of 347 indexed citations (citations by other indexed papers that have themselves been cited), including 3 papers in Molecular Biology, 3 papers in Endocrinology, Diabetes and Metabolism and 2 papers in Infectious Diseases. Recurrent topics in John C. Downing's work include Pituitary Gland Disorders and Treatments (2 papers), Amino Acid Enzymes and Metabolism (1 paper) and Effects and risks of endocrine disrupting chemicals (1 paper). John C. Downing is often cited by papers focused on Pituitary Gland Disorders and Treatments (2 papers), Amino Acid Enzymes and Metabolism (1 paper) and Effects and risks of endocrine disrupting chemicals (1 paper). John C. Downing collaborates with scholars based in United States, Switzerland and Netherlands. John C. Downing's co-authors include R. Michael McClain, Juan I. Sarmiento‐Sánchez, Jay I. Goodman, Margaret L. Harbison, Jennifer L. Counts, Arthur S. Tischler, Henry Childers, Gary M. Williams, John Whysner and Lynne Verna and has published in prestigious journals such as Carcinogenesis, Toxicology and Applied Pharmacology and Toxicological Sciences.

In The Last Decade

John C. Downing

8 papers receiving 330 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
John C. Downing United States 7 113 101 99 88 65 8 347
Nichole R. Vansell United States 9 113 1.0× 108 1.1× 74 0.7× 99 1.1× 141 2.2× 10 463
Shu-Dong Qiu China 12 197 1.7× 59 0.6× 57 0.6× 81 0.9× 23 0.4× 23 489
Wojciech G. Garbacz United States 9 233 2.1× 56 0.6× 57 0.6× 41 0.5× 33 0.5× 13 498
Eric Tien United States 9 272 2.4× 68 0.7× 76 0.8× 17 0.2× 68 1.0× 10 432
Altea Soto Spain 8 150 1.3× 66 0.7× 67 0.7× 29 0.3× 23 0.4× 20 322
Steven Tam United States 7 82 0.7× 117 1.2× 34 0.3× 60 0.7× 27 0.4× 8 394
H Wagner Germany 10 107 0.9× 36 0.4× 78 0.8× 68 0.8× 14 0.2× 30 359
Kyoko Hosokawa Japan 12 90 0.8× 40 0.4× 23 0.2× 44 0.5× 13 0.2× 34 340
Claudio Sorrentino United States 7 103 0.9× 19 0.2× 51 0.5× 99 1.1× 37 0.6× 9 322
Ralph Cash United States 5 81 0.7× 85 0.8× 31 0.3× 16 0.2× 43 0.7× 7 339

Countries citing papers authored by John C. Downing

Since Specialization
Citations

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

Fields of papers citing papers by John C. Downing

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by John C. Downing. 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 John C. Downing. The network helps show where John C. Downing may publish in the future.

Co-authorship network of co-authors of John C. Downing

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

All Works

8 of 8 papers shown
1.
Mikaelian, Igor, John C. Downing, Erik Rasmussen, et al.. (2009). Assessment of the Toxicity of Hydralazine in the Rat Using an Ultrasensitive Flow-based Cardiac Troponin I Immunoassay. Toxicologic Pathology. 37(7). 878–881. 10 indexed citations
2.
Whysner, John, et al.. (1998). Absence of DNA Adduct Formation by Phenobarbital, Polychlorinated Biphenyls, and Chlordane in Mouse Liver Using the32P-Postlabeling Assay. Toxicology and Applied Pharmacology. 148(1). 14–23. 38 indexed citations
3.
Counts, Jennifer L., Juan I. Sarmiento‐Sánchez, Margaret L. Harbison, et al.. (1996). Cell proliferation and global methylation status changes in mouse liver after phenobarbital and/or choline-devoid, methionine-deficient diet administration. Carcinogenesis. 17(6). 1251–1257. 78 indexed citations
4.
Tischler, Arthur S., et al.. (1996). Vitamin D3, Lactose, and Xylitol Stimulate Chromaffin Cell Proliferation in the Rat Adrenal Medulla. Toxicology and Applied Pharmacology. 140(1). 115–123. 19 indexed citations
5.
Tischler, Arthur S., et al.. (1995). Sustained Stimulation of Rat Adrenal Chromaffin Cell Proliferation by Reserpine. Toxicology and Applied Pharmacology. 135(2). 254–257. 11 indexed citations
6.
Tischler, Arthur S., R. Michael McClain, Henry Childers, & John C. Downing. (1991). Neurogenic signals regulate chromaffin cell proliferation and mediate the mitogenic effect of reserpine in the adult rat adrenal medulla.. PubMed. 65(3). 374–6. 23 indexed citations
7.
McClain, R. Michael, et al.. (1989). The effect of phenobarbital on the metabolism and excretion of thyroxine in rats. Toxicology and Applied Pharmacology. 99(2). 216–228. 164 indexed citations
8.
McClain, R. Michael, et al.. (1989). Effect of Metronidazole on Fertility and Testicular Function in Male Rats. Toxicological Sciences. 12(3). 386–396. 4 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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