Beth Ann Thomas

2.1k citations
20 papers · 748 · h-index 14

Impact in

Papers in

Beth Ann Thomas

20 papers receiving 717 citations

Peers

Beth Ann Thomas
Comparison fields: 5 of 89
  • Cellular and Molecular Neuroscience 205
  • Neurology 114
  • Molecular Biology 432
  • Neurology 46
  • Dermatology 41
Replace Yufang Shao with:
Yufang Shao United States
Laura J. Terlecky United States
Yosuke Horikoshi Japan
Ken Hayashi Japan
Stefka D. Spassieva United States
Hakryul Jo United States
Priam Villalonga Spain
Finola E. Moore United States
Rosalba D’Alessandro Italy
Parvathi Rudrabhatla United States
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Citations per field
00.5×2.7×
Yufang Shao · 1×
Citations per year

Countries citing papers authored by Beth Ann Thomas

Since Specialization
Citations

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

Fields of papers citing papers by Beth Ann Thomas

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Beth Ann Thomas, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Beth Ann Thomas Line = papers co-authored together Beth Ann Thomas links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown
#Work
1 2000200
2 201188
3 200283
4 201062
5 201838
6 199938
7 200437
8
The role of rat serum carboxylesterase in the activation of paclitaxel and camptothecin prodrugs.
199637
9 200829
10 199625
11 200620
12 199318
13 200017
14 199014
15 199513
16 198911
17 19939
18 20056
19 19982
20 19991

About Beth Ann Thomas

Beth Ann Thomas is a scholar working on Molecular Biology, Cellular and Molecular Neuroscience, Insect Science, Oncology and Organic Chemistry, having authored 20 papers that have together received 748 indexed citations. Recurring topics across this work include Neurobiology and Insect Physiology Research (4 papers), Insect and Pesticide Research (3 papers), Signaling Pathways in Disease (2 papers), Insect Utilization and Effects (2 papers), Cancer therapeutics and mechanisms (2 papers), Photosynthetic Processes and Mechanisms (2 papers), Protein purification and stability (2 papers) and Algal biology and biofuel production (2 papers). The work is most often cited by research in Cellular and Molecular Neuroscience (205 citations), Neurology (114 citations), Molecular Biology (432 citations), Neurology (46 citations) and Dermatology (41 citations). Beth Ann Thomas has collaborated with scholars based in United States, Japan and Czechia. Frequent co-authors include Michael S. Saporito, Richard Scott, Bruce D. Hammock, Alan V. Klotz, Donna Bozyczko‐Coyne, W. Bret Church, Joanne R. Mathiasen, Kris Vaddi, Jordan S. Fridman and Peggy Scherle. Their work appears in journals such as Bioorganic & Medicinal Chemistry Letters, Proteins Structure Function and Bioinformatics, Archives of Insect Biochemistry and Physiology, Journal of Pharmaceutical Sciences and Neoplasia.

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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