Beth Binnington
Impact in
- Endocrinology top 1%
- Escherichia coli research studies
- Virology top 10%
Papers in
-
- Lipid Membrane Structure and Behavior 7
- Glycosylation and Glycoproteins Research 6
- Sphingolipid Metabolism and Signaling 5
- Physiology 12
- Erythrocyte Function and Pathophysiology 6
- Lysosomal Storage Disorders Research 5
- Co-authors
- Clifford A. Lingwood (27 shared papers)Donald R. Branch (21 shared papers)Kai Simons (2 shared papers)Daniel Lingwood (2 shared papers)Darinka Sakac (10 shared papers)Ilpo Vattulainen (1 shared paper)Radhia Mahfoud (2 shared papers)Ünal Coskun (1 shared paper)
- Journals
- Transfusion (4 papers)Journal of Biological Chemistry (4 papers)AIDS (3 papers)Glycobiology (3 papers)Blood (2 papers)
- Partner nations
- CanadaUnited StatesSweden
In The Last Decade
Beth Binnington
37 papers receiving 1.2k citations
Peers
Comparison fields: 5 of 84
- Endocrinology 310
- Virology 64
- Immunology 262
- Molecular Biology 733
- Cell Biology 171
Countries citing papers authored by Beth Binnington
This map shows the geographic impact of Beth Binnington'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 Beth Binnington with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Beth Binnington more than expected).
Fields of papers citing papers by Beth Binnington
This network shows the impact of papers produced by Beth Binnington. 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 Beth Binnington. The network helps show where Beth Binnington may publish in the future.
Co-authors
The 25 scholars most cited alongside Beth Binnington, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 39 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2012 | 228 | |
| 2 | 2011 | 179 | |
| 3 | 2009 | 104 | |
| 4 | 2002 | 98 | |
| 5 | 2010 | 72 | |
| 6 | 2009 | 57 | |
| 7 | 2006 | 55 | |
| 8 | 2009 | 54 | |
| 9 | 2008 | 53 | |
| 10 | 2002 | 51 | |
| 11 | 2015 | 32 | |
| 12 | 2013 | 29 | |
| 13 | 2010 | 28 | |
| 14 | 2008 | 25 | |
| 15 | 2016 | 25 | |
| 16 | 2006 | 20 | |
| 17 | 2021 | 13 | |
| 18 | 2011 | 13 | |
| 19 | 2005 | 13 | |
| 20 | 2007 | 12 |
About Beth Binnington
Beth Binnington is a scholar working on Molecular Biology, Physiology, Immunology, Hematology and Endocrinology, having authored 39 papers that have together received 1.3k indexed citations. Recurring topics across this work include Lipid Membrane Structure and Behavior (7 papers), Escherichia coli research studies (7 papers), Glycosylation and Glycoproteins Research (6 papers), Blood groups and transfusion (6 papers), Erythrocyte Function and Pathophysiology (6 papers), Platelet Disorders and Treatments (5 papers), Sphingolipid Metabolism and Signaling (5 papers) and Lysosomal Storage Disorders Research (5 papers). The work is most often cited by research in Endocrinology (310 citations), Virology (64 citations), Immunology (262 citations), Molecular Biology (733 citations) and Cell Biology (171 citations). Beth Binnington has collaborated with scholars based in Canada, United States and Sweden. Frequent co-authors include Clifford A. Lingwood, Donald R. Branch, Kai Simons, Daniel Lingwood, Darinka Sakac, Ilpo Vattulainen, Radhia Mahfoud, Ünal Coskun, Tomasz Róg and Michał Grzybek. Their work appears in journals such as Transfusion, Journal of Biological Chemistry, AIDS, Glycobiology and Blood.
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.