A. Swift
Impact in
- Cell Biology top 5%
- Cellular transport and secretion
- Endoplasmic Reticulum Stress and Disease
- Animal Science and Zoology top 10%
- Animal Virus Infections Studies
Papers in
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- PI3K/AKT/mTOR signaling in cancer 2
- Glycosylation and Glycoproteins Research 1
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- Cellular transport and secretion 2
- Co-authors
- Carolyn E. Machamer (2 shared papers)Melissa G. Grim (1 shared paper)Melissa M. Rolls (1 shared paper)Kathleen R. Ryan (1 shared paper)Guillem Argilés (2 shared papers)Sarina A. Piha‐Paul (2 shared papers)Shiva Gupta (1 shared paper)P.N. Munster (1 shared paper)
- Journals
- The Journal of Cell Biology (2 papers)Journal of Biological Chemistry (2 papers)Annals of Oncology (2 papers)Hormone and Metabolic Research (1 paper)European Journal of Cancer (1 paper)
- Partner nations
- United StatesFranceSpain
In The Last Decade
A. Swift
10 papers receiving 488 citations
Peers
Comparison fields: 5 of 69
- Cell Biology 228
- Animal Science and Zoology 68
- Infectious Diseases 84
- Molecular Biology 313
- Physiology 13
Countries citing papers authored by A. Swift
This map shows the geographic impact of A. Swift'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 A. Swift with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites A. Swift more than expected).
Fields of papers citing papers by A. Swift
This network shows the impact of papers produced by A. Swift. 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 A. Swift. The network helps show where A. Swift may publish in the future.
Co-authors
The 25 scholars most cited alongside A. Swift, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 1991 | 175 | |
| 2 | 1993 | 139 | |
| 3 | 2015 | 67 | |
| 4 | 1993 | 66 | |
| 5 | The chemistry of human hair cuticleI: A new method for the physical isolation of cuticle | 1974 | 40 |
| 6 | 1982 | 12 | |
| 7 | 1983 | 5 | |
| 8 | 1988 | 4 | |
| 9 | 2014 | 1 | |
| 10 | 2015 | 1 |
About A. Swift
A. Swift is a scholar working on Molecular Biology, Cell Biology, Infectious Diseases, Animal Science and Zoology and Oncology, having authored 10 papers that have together received 510 indexed citations. Recurring topics across this work include Cellular transport and secretion (2 papers), PI3K/AKT/mTOR signaling in cancer (2 papers), SARS-CoV-2 and COVID-19 Research (2 papers), Animal Virus Infections Studies (2 papers), Radiomics and Machine Learning in Medical Imaging (1 paper), Antioxidant Activity and Oxidative Stress (1 paper), Glycosylation and Glycoproteins Research (1 paper) and Head and Neck Cancer Studies (1 paper). The work is most often cited by research in Cell Biology (228 citations), Animal Science and Zoology (68 citations), Infectious Diseases (84 citations), Molecular Biology (313 citations) and Physiology (13 citations). A. Swift has collaborated with scholars based in United States, France and Spain. Frequent co-authors include Carolyn E. Machamer, Melissa G. Grim, Melissa M. Rolls, Kathleen R. Ryan, Guillem Argilés, Sarina A. Piha‐Paul, Shiva Gupta, P.N. Munster, Alessandra Tosolini and Antoine Hollebecque. Their work appears in journals such as The Journal of Cell Biology, Journal of Biological Chemistry, Annals of Oncology, Hormone and Metabolic Research and European Journal of Cancer.
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.