Betsy Williams

1.3k citations
50 papers · 999 · h-index 16

Impact in

Papers in

Betsy Williams

47 papers receiving 965 citations

Peers

Betsy Williams
Comparison fields: 5 of 78
  • Psychiatry and Mental health 587
  • Pediatrics, Perinatology and Child Health 519
  • Cellular and Molecular Neuroscience 364
  • Biochemistry 51
  • Pulmonary and Respiratory Medicine 127
Replace A. Tran with:
A. Tran France
Mark S. Yerby United States
Lu Yu China
Lucy Oldfield United Kingdom
Nellie Bell Germany
Danilo Croci Italy
Eugène Cox United States
Maria Laura Sargentini‐Maier Belgium
Anitha Alex United States
Debra Tompson United Kingdom
Betsy Williams relative to A. Tran France A. Tran's profile →
Citations per field
00.5×10×12.8×
A. Tran · 1×
Citations per year

Countries citing papers authored by Betsy Williams

Since Specialization
Citations

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

Fields of papers citing papers by Betsy Williams

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Betsy Williams. 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 Betsy Williams. The network helps show where Betsy Williams may publish in the future.

Co-authors

The 25 scholars most cited alongside Betsy Williams, 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 Betsy Williams Line = papers co-authored together Betsy Williams links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 50 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2001213
2 2015108
3 201872
4 201571
5 200168
6 201442
7 201836
8 201335
9 201531
10 201629
11 201729
12 201529
13 202028
14 201526
15 202020
16 201917
17 202015
18 201515
19 201615
20 201513

About Betsy Williams

Betsy Williams is a scholar working on Psychiatry and Mental health, Pediatrics, Perinatology and Child Health, Cellular and Molecular Neuroscience, Molecular Biology and Oncology, having authored 50 papers that have together received 999 indexed citations. Recurring topics across this work include Epilepsy research and treatment (37 papers), Pharmacological Effects and Toxicity Studies (34 papers), Neuroscience and Neuropharmacology Research (14 papers), Pharmaceutical studies and practices (7 papers), Drug Transport and Resistance Mechanisms (6 papers), Biochemical and Molecular Research (5 papers), PI3K/AKT/mTOR signaling in cancer (3 papers) and Protein Degradation and Inhibitors (2 papers). The work is most often cited by research in Psychiatry and Mental health (587 citations), Pediatrics, Perinatology and Child Health (519 citations), Cellular and Molecular Neuroscience (364 citations), Biochemistry (51 citations) and Pulmonary and Respiratory Medicine (127 citations). Betsy Williams has collaborated with scholars based in United States, United Kingdom and Japan. Frequent co-authors include Antonio Laurenza, Haichen Yang, Sharon Zhou, Randi Fain, Anna Patten, Alan B. Ettinger, Manoj Malhotra, Lieven Lagae, Scott M. Lippman and W. K. Hong. Their work appears in journals such as Neurology, Epilepsy Research, Epilepsia, Epilepsy & Behavior and Blood.

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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