Jay S. Charleston

2.6k total citations
32 papers, 1.8k citations indexed

About

Jay S. Charleston is a scholar working on Molecular Biology, Health, Toxicology and Mutagenesis and Infectious Diseases. According to data from OpenAlex, Jay S. Charleston has authored 32 papers receiving a total of 1.8k indexed citations (citations by other indexed papers that have themselves been cited), including 12 papers in Molecular Biology, 9 papers in Health, Toxicology and Mutagenesis and 4 papers in Infectious Diseases. Recurrent topics in Jay S. Charleston's work include Muscle Physiology and Disorders (10 papers), Mercury impact and mitigation studies (5 papers) and Effects and risks of endocrine disrupting chemicals (4 papers). Jay S. Charleston is often cited by papers focused on Muscle Physiology and Disorders (10 papers), Mercury impact and mitigation studies (5 papers) and Effects and risks of endocrine disrupting chemicals (4 papers). Jay S. Charleston collaborates with scholars based in United States, Sweden and Italy. Jay S. Charleston's co-authors include Michael R. Soules, Angela Thyer, Karl R. Hansen, Nicholas Knowlton, N.A. Klein, Thomas M. Burbacher, Marie E. Vahter, N. Karle Mottet, R.L. Body and R P Bolender and has published in prestigious journals such as New England Journal of Medicine, Neurology and Antimicrobial Agents and Chemotherapy.

In The Last Decade

Jay S. Charleston

32 papers receiving 1.7k citations

Peers

Jay S. Charleston
Comparison fields: 5 of 108
  • Molecular Biology 664
  • Public Health, Environmental and Occupational Health 387
  • Health, Toxicology and Mutagenesis 346
  • Reproductive Medicine 324
  • Genetics 163
Replace Ting Ding with:
Ting Ding China
Gregg D. Cappon United States
Alice Luddi Italy
Eiichi Takaki Japan
Y. N. Sinha United States
Ralf Middendorff Germany
Branislav Vidić United States
David G. Simmons Australia
Alexander Comninos United Kingdom
Kathy H. Graves United States
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Citations per field, relative to Jay S. Charleston
Jay S. Charleston · 1×
Citations per year, relative to Jay S. Charleston
Jay S. Charleston · 1×

Countries citing papers authored by Jay S. Charleston

Since Specialization
Citations

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

Fields of papers citing papers by Jay S. Charleston

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Jay S. Charleston. 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 Jay S. Charleston. The network helps show where Jay S. Charleston may publish in the future.

Co-authorship network of co-authors of Jay S. Charleston

This figure shows the co-authorship network connecting the top 25 collaborators of Jay S. Charleston. A scholar is included among the top collaborators of Jay S. Charleston 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 Jay S. Charleston. Jay S. Charleston 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
# Work Indexed citations
1 219
2 11
3 165
4 44
5 23
6 40
7 2
8 44
9 386
10 6
11 51
12 9
13 8
14 176
15 28
16 39
17 112
18 79
19 17
20 25

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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