Jeffrey D. Thomas

1.0k total citations
11 papers, 770 citations indexed

About

Jeffrey D. Thomas is a scholar working on Molecular Biology, Epidemiology and Genetics. According to data from OpenAlex, Jeffrey D. Thomas has authored 11 papers receiving a total of 770 indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Molecular Biology, 2 papers in Epidemiology and 2 papers in Genetics. Recurrent topics in Jeffrey D. Thomas's work include RNA Research and Splicing (5 papers), RNA and protein synthesis mechanisms (3 papers) and Genetic Associations and Epidemiology (2 papers). Jeffrey D. Thomas is often cited by papers focused on RNA Research and Splicing (5 papers), RNA and protein synthesis mechanisms (3 papers) and Genetic Associations and Epidemiology (2 papers). Jeffrey D. Thomas collaborates with scholars based in United States, Australia and Sweden. Jeffrey D. Thomas's co-authors include Thomas Blumenthal, Richard C. Conrad, Kristi Lea, Felix J. Kim, Christina M. Maher, Jane Y. Tong, Alex Parker, Steve Lewitzky, Joanne M. Meyer and Yixin Wang and has published in prestigious journals such as Cell, Nucleic Acids Research and Molecular and Cellular Biology.

In The Last Decade

Jeffrey D. Thomas

10 papers receiving 752 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Jeffrey D. Thomas United States	10	558	143	95	80	77	11	770
Tsutomu Kishi Japan	12	517 0.9×	55 0.4×	35 0.4×	22 0.3×	92 1.2×	19	599
Patrycja A. Krawczyk United Kingdom	7	461 0.8×	37 0.3×	35 0.4×	62 0.8×	39 0.5×	8	697
Pascale Labrecque Canada	13	1.0k 1.8×	106 0.7×	107 1.1×	17 0.2×	58 0.8×	14	1.2k
Timothy L. Macatee United States	9	594 1.1×	80 0.6×	45 0.5×	50 0.6×	35 0.5×	14	675
Gyuyoup Kim United States	11	639 1.1×	58 0.4×	19 0.2×	73 0.9×	36 0.5×	16	899
Binayak Roy United States	8	674 1.2×	73 0.5×	29 0.3×	85 1.1×	59 0.8×	8	1.0k
Xiao Zhen Zhou United States	6	474 0.8×	109 0.8×	31 0.3×	14 0.2×	65 0.8×	8	631
R. Mako Saito United States	9	359 0.6×	41 0.3×	218 2.3×	47 0.6×	53 0.7×	10	553
Erica A. Moehle United States	11	812 1.5×	173 1.2×	54 0.6×	17 0.2×	29 0.4×	14	929
Deborah J. Frank United States	9	299 0.5×	44 0.3×	46 0.5×	22 0.3×	16 0.2×	15	431

Countries citing papers authored by Jeffrey D. Thomas

Since Specialization

Citations

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

Fields of papers citing papers by Jeffrey D. Thomas

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Jeffrey D. Thomas

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

All Works

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11 of 11 papers shown

Thomas, Jeffrey D., Nan Chen, Christina M. Maher, et al.. (2017). Sigma1 Targeting to Suppress Aberrant Androgen Receptor Signaling in Prostate Cancer. Cancer Research. 77(9). 2439–2452. 37 indexed citations

Maher, Christina M., et al.. (2017). Small-Molecule Sigma1 Modulator Induces Autophagic Degradation of PD-L1. Molecular Cancer Research. 16(2). 243–255. 129 indexed citations

Peng, Min, Julian Ostrovsky, Young Joon Kwon, et al.. (2015). Inhibiting cytosolic translation and autophagy improves health in mitochondrial disease. Human Molecular Genetics. 24(17). 4829–4847. 56 indexed citations

Thomas, Jeffrey D.. (2006). Neonatal herpes infection. Air Medical Journal. 25(3). 103–111.

Madore, Steven J., et al.. (2001). Predicting Splice Variant from DNA Chip Expression Data. Genome Research. 11(7). 1237–1245. 94 indexed citations

Suarez, Brian K., Jennifer Y. Lin, Jeffrey D. Thomas, et al.. (2001). A Genome Scan for Type 2 Diabetes Susceptibility Loci in a Genetically Isolated Population. Diabetes. 50(3). 681–685. 110 indexed citations

Parker, Alex, Joanne M. Meyer, Steve Lewitzky, et al.. (2001). A Gene Conferring Susceptibility to Type 2 Diabetes in Conjunction With Obesity Is Located on Chromosome 18p11. Diabetes. 50(3). 675–680. 74 indexed citations

Conrad, Richard C., Jeffrey D. Thomas, John Spieth, & Thomas Blumenthal. (1991). Insertion of Part of an Intron into the 5′ Untranslated Region of a Caenorhabditis elegans Gene Converts It into a Zraws-Spliced Gene. Molecular and Cellular Biology. 11(4). 1921–1926. 32 indexed citations

Thomas, Jeffrey D., et al.. (1990). The spliceosomal snRNAs ofCaenorhabditis elegans. Nucleic Acids Research. 18(9). 2633–2642. 93 indexed citations

10.

Thomas, Jeffrey D., Richard C. Conrad, & Thomas Blumenthal. (1988). The C. elegans Trans-spliced leader RNA is bound to Sm and has a trimethylguanosine cap. Cell. 54(4). 533–539. 127 indexed citations

11.

Thomas, Jeffrey D., et al.. (1988). C.eleganssnRNAs: a model for U4/U6 base paising. Nucleic Acids Research. 16(14). 7188–7188. 18 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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