Alison Beavis

1.9k citations
45 papers · 1.5k · h-index 21

Impact in

Papers in

    • Mass Spectrometry Techniques and Applications 11
    • Analytical Chemistry and Chromatography 7
    • Forensic Fingerprint Detection Methods 11

Alison Beavis

44 papers receiving 1.5k citations

Peers

Alison Beavis
Comparison fields: 5 of 137
  • Toxicology 252
  • Safety Research 302
  • Spectroscopy 441
  • Analytical Chemistry 240
  • Genetics 301
Replace Niamh Nic Daéid with:
Niamh Nic Daéid United Kingdom
John V. Goodpaster United States
Suzanne Bell United States
J Andrasko Sweden
Allison L. Dill United States
Ronald Shimmon Australia
Céline Weyermann Switzerland
Hilton Kobus Australia
Philip Maynard Australia
Luigi Ripani Italy
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Citations per field
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Citations per year

Countries citing papers authored by Alison Beavis

Since Specialization
Citations

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

Fields of papers citing papers by Alison Beavis

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 45 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2013116
2 2012104
3 2014100
4 201297
5 201380
6 201676
7 201375
8 201473
9 201371
10 201464
11 201155
12 201952
13 200848
14 201643
15 201542
16 201341
17 201833
18 201431
19 201528
20 201727

About Alison Beavis

Alison Beavis is a scholar working on Spectroscopy, Safety Research, Genetics, Molecular Biology and Toxicology, having authored 45 papers that have together received 1.5k indexed citations. Recurring topics across this work include Forensic and Genetic Research (11 papers), Mass Spectrometry Techniques and Applications (11 papers), Forensic Fingerprint Detection Methods (11 papers), Forensic Toxicology and Drug Analysis (9 papers), Analytical Chemistry and Chromatography (7 papers), Cutaneous Melanoma Detection and Management (5 papers), Metabolomics and Mass Spectrometry Studies (3 papers) and Microfluidic and Capillary Electrophoresis Applications (3 papers). The work is most often cited by research in Toxicology (252 citations), Safety Research (302 citations), Spectroscopy (441 citations), Analytical Chemistry (240 citations) and Genetics (301 citations). Alison Beavis has collaborated with scholars based in Australia, Switzerland and Russia. Frequent co-authors include Claude Roux, K. Paul Kirkbride, Philip Doble, Marie Morelato, Mark Tahtouh, Lucas Blanes, R. Verena Taudte, Olivier Ribaux, Dominic J. Hare and David Bishop. Their work appears in journals such as Forensic Science International, Analytical Methods, Science & Justice, Annals of Surgical Oncology and Drug Testing and Analysis.

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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