Jane Cooper

1.2k citations
17 papers · 924 indexed · h-index 12

Impact in

  • Neurology top 5%
    • Neuroinflammation and Neurodegeneration Mechanisms
    • Parkinson's Disease Mechanisms and Treatments
    • Neurological diseases and metabolism
  • Physiology top 5%
    • Alzheimer's disease research and treatments

Papers in

Jane Cooper

17 papers receiving 901 citations

Peers

Jane Cooper
Comparison fields: 5 of 87
  • Neurology 186
  • Physiology 420
  • Cellular and Molecular Neuroscience 247
  • Neurology 140
  • Biological Psychiatry 22
Replace Annett Häußler with:
Annett Häußler Germany
Koh Kawasaki Japan
Jason Schapansky Canada
P. Fernández‐Vizarra Spain
Sadaaki Maeda Japan
Cristina Ghezzi Italy
Kenichi Nagata Japan
Andrea Carmine Belin Sweden
Natalia Louneva United States
Xu‐Qiao Chen United States
Jane Cooper relative to Annett Häußler Germany Annett Häußler's profile →
Citations per field
00.5×1.5×
Annett Häußler · 1×
Citations per year

Countries citing papers authored by Jane Cooper

Since Specialization
Citations

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

Fields of papers citing papers by Jane Cooper

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

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

All Works

17 of 17 papers shown
#Work
1 2017120
2 20173
3 2016110
4 201513
5 2014364
6 20076
7 200434
8 20049
9 200125
10 20004
11 199639
12 199253
13 198787
14 19704
15 196820
16
The metabolism of melengestrol acetate.
196711
17 196522

About Jane Cooper

Jane Cooper is a scholar working on Cellular and Molecular Neuroscience, Geriatrics and Gerontology, Pharmacology, Neurology and Molecular Biology, having authored 17 papers that have together received 924 indexed citations. Recurring topics across this work include Neuroscience and Neuropharmacology Research (5 papers), Alzheimer's disease research and treatments (3 papers), Receptor Mechanisms and Signaling (3 papers), Neurotransmitter Receptor Influence on Behavior (3 papers), Glutathione Transferases and Polymorphisms (2 papers), Pharmacogenetics and Drug Metabolism (2 papers), Memory and Neural Mechanisms (2 papers) and Estrogen and related hormone effects (2 papers). The work is most often cited by research in Neurology (186 citations), Physiology (420 citations), Cellular and Molecular Neuroscience (247 citations), Neurology (140 citations) and Biological Psychiatry (22 citations). Jane Cooper has collaborated with scholars based in United Kingdom, United States and Switzerland. Frequent co-authors include Michael J. O’Neill, Tracey K. Murray, Michael Hutton, Zeshan Ahmed, Annalisa Cavallini, Michel Goedert, Suchira Bose, Samuel J. Jackson, Mark Ward and Markus Tolnay. Their work appears in journals such as European Journal of Pharmacology, Steroids, Bioorganic & Medicinal Chemistry Letters, Molecular Therapy and Experimental Neurology.

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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