Alison O’Neil

22 papers receiving 1.1k citations

Alison O’Neil's Hit Papers

In Silico Labeling: Predicting Fluorescent Labels in Unlabeled Images 2018 · 394 citations
3940+2+5Years since publication100200300

Peers

Alison O’Neil
Comparison fields: 5 of 119
  • Biophysics 272
  • Structural Biology 20
  • Ecology 321
  • Media Technology 100
  • Chemical Health and Safety 6
Replace Sigrun Gustafsdottir with:
Sigrun Gustafsdottir Sweden
James R. W. Conway Australia
Vasiliy S. Chernyshev Russia
Adam Fraser United States
Thomas Pengo United States
Rita Strack United States
Derek Thirstrup United States
Paul L. Appleton United Kingdom
Graham Wright Singapore
Praveen Pankajakshan France
Alison O’Neil relative to Sigrun Gustafsdottir Sweden Sigrun Gustafsdottir's profile →
Citations per field
00.5×4.2×
Sigrun Gustafsdottir · 1×
Citations per year

Countries citing papers authored by Alison O’Neil

Since Specialization
Citations

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

Fields of papers citing papers by Alison O’Neil

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 22 papers — load more, or switch the sort, to bring in the rest.

#Work
1
In Silico Labeling: Predicting Fluorescent Labels in Unlabeled Images
Hit paper breakdown →
2018394
2 2011137
3 201899
4 201082
5 201268
6 201556
7 201845
8 201141
9 201335
10 201328
11 201518
12 201216
13 201814
14 20219
15 20209
16 20229
17 20218
18 20188
19 20117
20 20232

About Alison O’Neil

Alison O’Neil is a scholar working on Molecular Biology, Ecology, Radiology, Nuclear Medicine and Imaging, Biomedical Engineering and Neurology, having authored 22 papers that have together received 1.1k indexed citations. Recurring topics across this work include Bacteriophages and microbial interactions (8 papers), Amyotrophic Lateral Sclerosis Research (4 papers), RNA and protein synthesis mechanisms (4 papers), Monoclonal and Polyclonal Antibodies Research (4 papers), Neurogenetic and Muscular Disorders Research (3 papers), 3D Printing in Biomedical Research (3 papers), Bacterial Genetics and Biotechnology (2 papers) and Cellular Mechanics and Interactions (2 papers). The work is most often cited by research in Biophysics (272 citations), Structural Biology (20 citations), Ecology (321 citations), Media Technology (100 citations) and Chemical Health and Safety (6 citations). Alison O’Neil has collaborated with scholars based in United States, United Kingdom and South Korea. Frequent co-authors include Trevor Douglas, Peter E. Prevelige, Lee L. Rubin, Courtney Reichhardt, Benjamin C. Johnson, Steven Finkbeiner, Philip Nelson, William Fedus, D. Michael Ando and Piyush Goyal. Their work appears in journals such as Scientific Reports, Biomacromolecules, Proceedings of the National Academy of Sciences, ACS Chemical Neuroscience and Chemical Communications.

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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