Michael Swift

690 citations
7 papers · 514 · h-index 5

Impact in

    • Carcinogens and Genotoxicity Assessment
    • Cancer Genomics and Diagnostics
    • BRCA gene mutations in cancer

Papers in

Michael Swift

7 papers receiving 495 citations

Peers

Michael Swift
Comparison fields: 5 of 59
  • Cancer Research 148
  • Genetics 177
  • Oncology 144
  • Molecular Biology 357
  • Cell Biology 79
Replace Becky Alhadeff with:
Becky Alhadeff United States
Lucia Guidugli United States
Yoshimi Jitsumori Japan
Henrikki Almusa Finland
E. Natt Germany
D. Perucca‐Lostanlen France
Huacheng Luo United States
K. Okui Japan
Jinsuk Kang United States
Béryl Royer‐Bertrand Switzerland
Michael Swift relative to Becky Alhadeff United States Becky Alhadeff's profile →
Citations per field
00.5×
Becky Alhadeff · 1×
Citations per year

Countries citing papers authored by Michael Swift

Since Specialization
Citations

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

Fields of papers citing papers by Michael Swift

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 9 scholars most cited alongside Michael 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 Michael Swift Line = papers co-authored together Michael Swift links everyone, so they are left out of the graph.

All Works

7 of 7 papers shown
#Work
1 1996246
2 1994112
3 199098
4 199150
5
A two-level iterative model for estimating inter-fuel substitution effects
19754
6 19952
7 19892

About Michael Swift

Michael Swift is a scholar working on Molecular Biology, Infectious Diseases, Cellular and Molecular Neuroscience, Mechanics of Materials and Oncology, having authored 7 papers that have together received 514 indexed citations. Recurring topics across this work include DNA Repair Mechanisms (2 papers), Bartonella species infections research (1 paper), Hereditary Neurological Disorders (1 paper), Energy, Environment, and Transportation Policies (1 paper), Trace Elements in Health (1 paper), Material Dynamics and Properties (1 paper), Plant and Fungal Interactions Research (1 paper) and Cancer-related Molecular Pathways (1 paper). The work is most often cited by research in Cancer Research (148 citations), Genetics (177 citations), Oncology (144 citations), Molecular Biology (357 citations) and Cell Biology (79 citations). Michael Swift has collaborated with scholars based in United States, Canada and United Kingdom. Frequent co-authors include Prasanna Athma, Rebecca Rappaport, Ronnie Gorman Swift, Mihael H. Polymeropoulos, Daphne Morrell, Charles L. Chase, Amy S. Paller, Frederick E. Leickly and Julia M. Yeomans. Their work appears in journals such as The Journal of Pediatrics, Nature Medicine, Nature Genetics, Cancer Genetics and Cytogenetics and Journal of Physics A Mathematical and General.

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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