Jeffrey T. Talbot

18 total papers · 1.2k total citations
13 papers, 819 citations indexed

About

Jeffrey T. Talbot is a scholar working on Molecular Biology, Public Health, Environmental and Occupational Health and Rheumatology. According to data from OpenAlex, Jeffrey T. Talbot has authored 13 papers receiving a total of 819 indexed citations (citations by other indexed papers that have themselves been cited), including 4 papers in Molecular Biology, 4 papers in Public Health, Environmental and Occupational Health and 3 papers in Rheumatology. Recurrent topics in Jeffrey T. Talbot's work include Folate and B Vitamins Research (3 papers), Cancer-related molecular mechanisms research (2 papers) and Hematological disorders and diagnostics (1 paper). Jeffrey T. Talbot is often cited by papers focused on Folate and B Vitamins Research (3 papers), Cancer-related molecular mechanisms research (2 papers) and Hematological disorders and diagnostics (1 paper). Jeffrey T. Talbot collaborates with scholars based in United States and France. Jeffrey T. Talbot's co-authors include Eugenia E. Calle, Victoria L. Stevens, Michael J. Thun, Carmen Rodríguez, Marjorie L. McCullough, Heather Spencer Feigelson, Juzhong Sun, James D. Eudy, Richard H. Finnell and Alexandre L. Pavluck and has published in prestigious journals such as Human Molecular Genetics, Critical Care Medicine and International Journal of Cancer.

In The Last Decade

Jeffrey T. Talbot

11 papers receiving 797 citations

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author Last Decade Papers Cites
Jeffrey T. Talbot 352 164 145 130 101 13 819
Anjali Desai 319 0.9× 63 0.4× 49 0.3× 197 1.5× 91 0.9× 27 942
Patricia R. Souza 347 1.0× 85 0.5× 101 0.7× 65 0.5× 40 0.4× 17 876
Anne P. Liao 336 1.0× 68 0.4× 97 0.7× 65 0.5× 89 0.9× 10 944
Hideo Aiba 283 0.8× 41 0.3× 202 1.4× 29 0.2× 260 2.6× 23 1.0k
Anura Hewagama 268 0.8× 73 0.4× 213 1.5× 33 0.3× 63 0.6× 12 873
Brian Friedrich 297 0.8× 42 0.3× 53 0.4× 79 0.6× 23 0.2× 23 794
Breeana L. Mitchell 258 0.7× 87 0.5× 273 1.9× 66 0.5× 111 1.1× 13 770
Miao Li 263 0.7× 44 0.3× 39 0.3× 57 0.4× 82 0.8× 32 909
Roman Jung 151 0.4× 87 0.5× 26 0.2× 82 0.6× 147 1.5× 25 761
Christine Modoux 181 0.5× 68 0.4× 198 1.4× 99 0.8× 118 1.2× 10 893

Countries citing papers authored by Jeffrey T. Talbot

Since Specialization
Citations

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

Fields of papers citing papers by Jeffrey T. Talbot

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Jeffrey T. Talbot

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

All Works

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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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