Margaret Ayers

24 papers receiving 769 citations

Margaret Ayers's Hit Papers

How successful are AI-discovered drugs in clinical trials? A first analysis and emerging lessons 2024 · 59 citations
590+1Years since publication1020304050

Peers

Margaret Ayers
Comparison fields: 5 of 90
  • Developmental Neuroscience 98
  • Neurology 180
  • Immunology 225
  • Cellular and Molecular Neuroscience 186
  • Pathology and Forensic Medicine 128
Replace Arno Kalkuhl with:
Arno Kalkuhl Germany
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Rina Zilkha‐Falb Israel
Huyan Meng China
Jigisha R. Patel United States
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Citations per year

Countries citing papers authored by Margaret Ayers

Since Specialization
Citations

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

Fields of papers citing papers by Margaret Ayers

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 24 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2004145
2 197394
3 200591
4
How successful are AI-discovered drugs in clinical trials? A first analysis and emerging lessons
Hit paper breakdown →
202459
5 197552
6 197651
7 197847
8 200442
9 200142
10 200927
11 201223
12 198219
13 201819
14 201017
15 199812
16 200012
17 19997
18 19997
19 19827
20 19975

About Margaret Ayers

Margaret Ayers is a scholar working on Molecular Biology, Pathology and Forensic Medicine, Neurology, Neurology and Developmental Neuroscience, having authored 24 papers that have together received 790 indexed citations. Recurring topics across this work include Peripheral Neuropathies and Disorders (7 papers), Multiple Sclerosis Research Studies (7 papers), Neurogenesis and neuroplasticity mechanisms (6 papers), Neuroinflammation and Neurodegeneration Mechanisms (4 papers), Systemic Lupus Erythematosus Research (3 papers), Herpesvirus Infections and Treatments (3 papers), Nerve injury and regeneration (2 papers) and Hereditary Neurological Disorders (2 papers). The work is most often cited by research in Developmental Neuroscience (98 citations), Neurology (180 citations), Immunology (225 citations), Cellular and Molecular Neuroscience (186 citations) and Pathology and Forensic Medicine (128 citations). Margaret Ayers has collaborated with scholars based in Australia, United Kingdom and United States. Frequent co-authors include R. McD. Anderson, Jacqueline M. Orian, Claude C.A. Bernard, Allison van Lint, Federico Carbone, Andrëw G. Brööks, William R. Heath, Dongwei Wang, Deanne V. Catmull and Robin Thorpe. Their work appears in journals such as Acta Neuropathologica, Neuroreport, Microscopy Research and Technique, Journal of Neuroimmunology and Glia.

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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