Michael I. Barton

542 citations
11 papers · 296 · 1 hit paper · h-index 6

Impact in

Papers in

Michael I. Barton

10 papers receiving 293 citations

Michael I. Barton's Hit Papers

Effects of common mutations in the SARS-CoV-2 Spike RBD and its ligand, the human ACE2 receptor on binding affinity and kinetics 2021 · 247 citations
2470+1+3Years since publication50100150200

Peers

Michael I. Barton
Comparison fields: 5 of 47
  • Infectious Diseases 228
  • Radiology, Nuclear Medicine and Imaging 48
  • Animal Science and Zoology 22
  • Computational Theory and Mathematics 34
  • Molecular Biology 116
Replace Eyal Zoler with:
Eyal Zoler Israel
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Mert Gölcük Türkiye
Hsiu-Ting Lin Taiwan
Anzhalika Sidarovich Germany
Krishna Anand United States
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Michael I. Barton relative to Eyal Zoler Israel Eyal Zoler's profile →
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Countries citing papers authored by Michael I. Barton

Since Specialization
Citations

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

Fields of papers citing papers by Michael I. Barton

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

11 of 11 papers shown
#Work
1
Effects of common mutations in the SARS-CoV-2 Spike RBD and its ligand, the human ACE2 receptor on binding affinity and kinetics
Hit paper breakdown →
2021247
2 202210
3 202310
4 20199
5 20256
6 20216
7 20225
8 20161
9 20261
10 20241
11 20240

About Michael I. Barton

Michael I. Barton is a scholar working on Infectious Diseases, Radiology, Nuclear Medicine and Imaging, Molecular Biology, Immunology and Cardiology and Cardiovascular Medicine, having authored 11 papers that have together received 296 indexed citations. Recurring topics across this work include SARS-CoV-2 and COVID-19 Research (3 papers), Monoclonal and Polyclonal Antibodies Research (3 papers), COVID-19 Clinical Research Studies (2 papers), Viral Infections and Outbreaks Research (2 papers), Cardiac electrophysiology and arrhythmias (2 papers), Ion channel regulation and function (2 papers), Glycosylation and Glycoproteins Research (1 paper) and Complement system in diseases (1 paper). The work is most often cited by research in Infectious Diseases (228 citations), Radiology, Nuclear Medicine and Imaging (48 citations), Animal Science and Zoology (22 citations), Computational Theory and Mathematics (34 citations) and Molecular Biology (116 citations). Michael I. Barton has collaborated with scholars based in United Kingdom, United States and Australia. Frequent co-authors include Philip Anton van der Merwe, Mikhail A. Kutuzov, Omer Dushek, Geoffrey John Barton, Stuart A. MacGowan, Yohannes Shiferaw, Tyler Luchko, D’Artagnan Greene, Ben de Wet and Michael Loran Dustin. Their work appears in journals such as The Journal of Physical Chemistry B, eLife, PLoS Biology, PLoS ONE and PLoS Computational Biology.

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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