Angela Bithell

1.8k citations
25 papers · 1.2k · h-index 16

Impact in

Papers in

Angela Bithell

24 papers receiving 1.1k citations

Peers

Angela Bithell
Comparison fields: 5 of 66
  • Developmental Neuroscience 197
  • Cellular and Molecular Neuroscience 261
  • Physiology 172
  • Neurology 50
  • Molecular Biology 352
Replace Shiying Li with:
Shiying Li China
Yolanda de Pablo Sweden
Paola Conforti Italy
Trent A. Watkins United States
Matthew T Pankratz United States
Christopher Sliwinski Germany
Fumiko Matsui Japan
Kimberly J. Christie Canada
María Teresa Moreno-Flores Spain
Sarah K. Williams Germany
Angela Bithell relative to Shiying Li China Shiying Li's profile →
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Citations per year

Countries citing papers authored by Angela Bithell

Since Specialization
Citations

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

Fields of papers citing papers by Angela Bithell

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 25 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2018211
2 2013143
3 2015142
4 2010126
5 201269
6 201565
7 200958
8 201047
9 200442
10 201538
11 201336
12 201131
13 201528
14 201125
15 200824
16 201917
17 200312
18 201512
19 202112
20 20237

About Angela Bithell

Angela Bithell is a scholar working on Developmental Neuroscience, Cellular and Molecular Neuroscience, Physiology, Molecular Biology and Neurology, having authored 25 papers that have together received 1.2k indexed citations. Recurring topics across this work include Neurogenesis and neuroplasticity mechanisms (9 papers), Neuroscience and Neuropharmacology Research (5 papers), Pluripotent Stem Cells Research (4 papers), Genetic Neurodegenerative Diseases (4 papers), Epigenetics and DNA Methylation (2 papers), Autoimmune Neurological Disorders and Treatments (2 papers), Genomics and Chromatin Dynamics (2 papers) and Adenosine and Purinergic Signaling (2 papers). The work is most often cited by research in Developmental Neuroscience (197 citations), Cellular and Molecular Neuroscience (261 citations), Physiology (172 citations), Neurology (50 citations) and Molecular Biology (352 citations). Angela Bithell has collaborated with scholars based in United Kingdom, Singapore and Italy. Frequent co-authors include Noel J. Buckley, Helena Cimarosti, Eduarda Gervini Zampieri Centeno, Rory Johnson, Chiara Soldati, Elena F. Cattaneo, Lawrence Walter Stanton, Brenda P. Williams, Caroline Johnston and Chiara Zuccato. Their work appears in journals such as Stem Cells, Pharmaceuticals, Journal of Neurochemistry, PLoS Computational Biology and Epigenomics.

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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