Pamela L Shaw

2.7k citations
21 papers · 2.1k indexed · 1 hit paper · h-index 14

Pamela L Shaw

20 papers receiving 2.0k citations

Hit Papers

Acetylcholinesterase knockouts establish central choliner...5492002202620102018100200300400500

Peers

Pamela L Shaw
Comparison fields: 5 of 144
  • Pharmacology 857
  • Neurology 259
  • Computational Theory and Mathematics 471
  • Physiology 743
  • Biological Psychiatry 70
Replace R. Anand with:
R. Anand India
Martin M. Bednar United States
Thomas J. Montine United States
James Kost United States
Aaron Ritter United States
Lawrence Friedhoff United States
R. H. Perry United Kingdom
Hans Jörg Möbius Germany
Konstantina G. Yiannopoulou Greece
Garam Lee South Korea
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Citations per field
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R. Anand · 1×
Citations per year

Countries citing papers authored by Pamela L Shaw

Since Specialization
Citations

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

Fields of papers citing papers by Pamela L Shaw

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Pamela L Shaw. 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 Pamela L Shaw. The network helps show where Pamela L Shaw may publish in the future.

Co-authorship network

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

All Works

20 of 20 papers shown
#Work
1 20222
2 2017104
3 201631
4 201613
5 201543
6 201526
7 201465
8 201452
9 201120
10 201015
11
Comparative matrix of research networking tools
20101
12
Diversity training: a DVD resource showcasing BME role models.
20103
13 2006274
14 2006304
15 2004288
16
Acetylcholinesterase knockouts establish central cholinergic pathways and can use butyrylcholinesterase to hydrolyze acetylcholinebreakdown →
2002549
17 2002268
18 199618
19 19953
20 19913

About Pamela L Shaw

Pamela L Shaw is a scholar working on Developmental Neuroscience, Health Information Management and Emergency Medicine, having authored 21 papers that have together received 2.1k indexed citations. Recurring topics across this work include Computational Drug Discovery Methods (4 papers), Cholinesterase and Neurodegenerative Diseases (4 papers), Trauma and Emergency Care Studies (4 papers), Alzheimer's disease research and treatments (3 papers), Anesthesia and Neurotoxicity Research (3 papers), Neonatal and fetal brain pathology (2 papers), Emergency and Acute Care Studies (2 papers) and Injury Epidemiology and Prevention (2 papers). The work is most often cited by research in Pharmacology (857 citations), Neurology (259 citations) and Computational Theory and Mathematics (471 citations). Pamela L Shaw has collaborated with scholars based in United States and Brazil. Frequent co-authors include Marsel Mesulam, Deborah C. Mash, Sandra Weıntraub, M.‐Marsel Mesulam, Allan I. Levey, Oksana Lockridge, Ellen G. Duysen, Bruce Quinn, M.‐Marsel Mesulam and Eileen H. Bigio. Their work appears in journals such as Journal of Surgical Research, Experimental Neurology, Journal of the American College of Surgeons, Learning Health Systems and Neuroscience.

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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