Alison Abbott

8.0k citations
665 papers · 5.6k · 1 hit paper · h-index 32

Impact in

Papers in

Alison Abbott

545 papers receiving 5.1k citations

Alison Abbott's Hit Papers

Biology's new dimension 2003 · 1.1k citations
1.1k0+7+15Years since publication2505007501000

Peers

Alison Abbott
Comparison fields: 5 of 224
  • Biological Psychiatry 73
  • Physiology 577
  • Molecular Biology 1.6k
  • Aging 38
  • Biomedical Engineering 882
Replace Heidi Ledford with:
Heidi Ledford United States
Francis S. Collins United States
Michael White United Kingdom
Qun Liu China
Michael A. Thompson United States
Hiroshi Kato Japan
Jean L. Marx United States
Ulrich Müller Germany
David Smith United States
Stipan Jonjić Croatia
Alison Abbott relative to Heidi Ledford United States Heidi Ledford's profile →
Citations per field
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Heidi Ledford · 1×
Citations per year

Countries citing papers authored by Alison Abbott

Since Specialization
Citations

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

Fields of papers citing papers by Alison Abbott

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 665 papers — load more, or switch the sort, to bring in the rest.

#Work
1
Biology's new dimension
Hit paper breakdown →
20031063
2 2017225
3 2011193
4 1999159
5 2004127
6 2016104
7 198977
8 201076
9 201273
10 200367
11 201662
12 201161
13 202055
14 200149
15 200447
16 200143
17 201043
18 200242
19 200242
20 201342

About Alison Abbott

Alison Abbott is a scholar working on Reproductive Medicine, Public Health, Environmental and Occupational Health, Physiology, Molecular Biology and Political Science and International Relations, having authored 665 papers that have together received 5.6k indexed citations. Recurring topics across this work include Science, Research, and Medicine (176 papers), Biotechnology and Related Fields (57 papers), Biomedical Ethics and Regulation (51 papers), Health and Medical Research Impacts (38 papers), International Science and Diplomacy (31 papers), Space exploration and regulation (15 papers), Genetics, Bioinformatics, and Biomedical Research (13 papers) and Pluripotent Stem Cells Research (12 papers). The work is most often cited by research in Biological Psychiatry (73 citations), Physiology (577 citations), Molecular Biology (1.6k citations), Aging (38 citations) and Biomedical Engineering (882 citations). Alison Abbott has collaborated with scholars based in Germany, United States and Australia. Frequent co-authors include Elie Dolgin, David Cyranoski, Helen Pearson, Clive Page, Quirin Schiermeier, Jonathan Knight, Jonathan Knight, Kevin Catt, Steven J. Cooper and Meredith Wadman. Their work appears in journals such as Nature, Trends in Pharmacological Sciences, Applied Ergonomics, Nature Medicine and Social Forces.

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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