Sam Swift

1.3k citations
7 papers · 1.1k · h-index 6

Impact in

    • Genomics, phytochemicals, and oxidative stress
    • Glutathione Transferases and Polymorphisms
    • Genomics and Chromatin Dynamics
    • Ubiquitin and proteasome pathways
    • RNA Research and Splicing
    • RNA modifications and cancer
  • Cell Biology top 10%
    • Microtubule and mitosis dynamics

Papers in

    • Genomics, phytochemicals, and oxidative stress 2
    • Glutathione Transferases and Polymorphisms 1
    • Genomics and Chromatin Dynamics 1
    • Microtubule and mitosis dynamics 2

Sam Swift

6 papers receiving 1.0k citations

Peers

Sam Swift
Comparison fields: 5 of 93
  • Molecular Biology 895
  • Cell Biology 210
  • Biophysics 50
  • Spectroscopy 86
  • Structural Biology 6
Replace Ilaria Piazza with:
Ilaria Piazza Germany
David Llères France
Oihana Terrones Spain
Mohammad D. Bazzi United States
Zheng Ser Singapore
Injae Chung United Kingdom
Henning Gram Hansen Denmark
R Chin United States
K. Mihara Japan
Sheraz Gul Germany
Sam Swift relative to Ilaria Piazza Germany Ilaria Piazza's profile →
Citations per field
00.5×6.1×
Ilaria Piazza · 1×
Citations per year

Countries citing papers authored by Sam Swift

Since Specialization
Citations

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

Fields of papers citing papers by Sam Swift

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 23 scholars most cited alongside Sam Swift, 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 Sam Swift Line = papers co-authored together Sam Swift links everyone, so they are left out of the graph.

All Works

7 of 7 papers shown
#Work
1 2008362
2 2013318
3 2014129
4 2009127
5 2010105
6 200717
7
Policy Performance and Evaluation: United Kingdom
20150

About Sam Swift

Sam Swift is a scholar working on Molecular Biology, Cell Biology, Biophysics, Sociology and Political Science and Oncology, having authored 7 papers that have together received 1.1k indexed citations. Recurring topics across this work include Advanced Fluorescence Microscopy Techniques (2 papers), Genomics, phytochemicals, and oxidative stress (2 papers), Microtubule and mitosis dynamics (2 papers), Cancer-related Molecular Pathways (1 paper), Glutathione Transferases and Polymorphisms (1 paper), Plant Stress Responses and Tolerance (1 paper), Family Support in Illness (1 paper) and Genomics and Chromatin Dynamics (1 paper). The work is most often cited by research in Molecular Biology (895 citations), Cell Biology (210 citations), Biophysics (50 citations), Spectroscopy (86 citations) and Structural Biology (6 citations). Sam Swift has collaborated with scholars based in United Kingdom, United States and Canada. Frequent co-authors include David Llères, Albena T. Dinkova‐Kostova, Liam Baird, Angus I. Lamond, Yun Wah Lam, Laura Trinkle‐Mulcahy, Ulrich Rothbauer, Séverine Boulon, Heinrich Leonhardt and Franck Vandermoere. Their work appears in journals such as The Journal of Cell Biology, Biotechnology Advances, Proceedings of the National Academy of Sciences and Humana Press eBooks.

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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