Helen E. Pearson

2.2k citations
135 papers · 1.3k · h-index 21

Impact in

Papers in

Helen E. Pearson

105 papers receiving 1.2k citations

Peers

Helen E. Pearson
Comparison fields: 5 of 172
  • Ophthalmology 127
  • Developmental Neuroscience 54
  • Cellular and Molecular Neuroscience 247
  • Cognitive Neuroscience 211
  • Neurology 73
Replace William D. Brown with:
William D. Brown United States
Jennifer C. Liddle United Kingdom
Margaret S. Saha United States
Brian Freeman United States
Jonathan J. Ross United States
Jean‐François Zagury France
David G. Hunter United States
Petra de Vries Netherlands
Scott Andrew Wegner United States
Szymon M. Kiełbasa Netherlands
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Citations per field
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Citations per year

Countries citing papers authored by Helen E. Pearson

Since Specialization
Citations

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

Fields of papers citing papers by Helen E. Pearson

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Helen E. Pearson. 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 Helen E. Pearson. The network helps show where Helen E. Pearson may publish in the future.

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 135 papers — load more, or switch the sort, to bring in the rest.

#Work
1 200369
2 200266
3 202160
4 198455
5 200252
6 198148
7 200847
8 198145
9 200444
10 199342
11 198442
12 199240
13 199334
14 198833
15 200233
16 195831
17 199330
18 201830
19 198829
20 196326

About Helen E. Pearson

Helen E. Pearson is a scholar working on Cellular and Molecular Neuroscience, Molecular Biology, Infectious Diseases, Ophthalmology and Pediatrics, Perinatology and Child Health, having authored 135 papers that have together received 1.3k indexed citations. Recurring topics across this work include Retinal Development and Disorders (11 papers), Glaucoma and retinal disorders (7 papers), Visual perception and processing mechanisms (7 papers), Neuroscience and Neuropharmacology Research (6 papers), Pluripotent Stem Cells Research (5 papers), Biomedical Ethics and Regulation (5 papers), SARS-CoV-2 and COVID-19 Research (5 papers) and Genetics, Bioinformatics, and Biomedical Research (5 papers). The work is most often cited by research in Ophthalmology (127 citations), Developmental Neuroscience (54 citations), Cellular and Molecular Neuroscience (247 citations), Cognitive Neuroscience (211 citations) and Neurology (73 citations). Helen E. Pearson has collaborated with scholars based in United States, United Kingdom and Australia. Frequent co-authors include Paul Cornwell, Bertram R. Payne, Brennan R. Payne, Nancy E.J. Berman, Alison Abbott, E. Hazel Murphy, Todd P. Thompson, David Cyranoski, Timothy J. Cunningham and Jonathan Knight. Their work appears in journals such as Nature, Developmental Brain Research, Experimental Biology and Medicine, The Lancet and Brain Research.

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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