Beth Binnington

1.5k citations
43 papers · 1.3k · h-index 18

Impact in

Papers in

Beth Binnington

39 papers receiving 1.3k citations

Peers

Beth Binnington
Comparison fields: 5 of 76
  • Endocrinology 254
  • Virology 69
  • Immunology 196
  • Molecular Biology 614
  • Hematology 93
Replace Bernhard Kniep with:
Bernhard Kniep Germany
K.-A. Karlsson Sweden
Nathalie Carayol France
Andrea Riehle Germany
Stanimir S. Ivanov United States
Joel Moss United States
Maurizio Brigotti Italy
M.Robert Lifely United Kingdom
Gregg R. Strohmeier United States
Domenica Carnicelli Italy
Beth Binnington relative to Bernhard Kniep Germany Bernhard Kniep's profile →
Citations per field
00.5×2×3×4.3×
Bernhard Kniep · 1×
Citations per year

Countries citing papers authored by Beth Binnington

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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.

Border = papers with Beth Binnington Line = papers co-authored together Beth Binnington links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 43 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2012237
2 2011179
3 2009106
4 2002100
5 201071
6 200657
7 200956
8 200955
9 200852
10 200251
11 201331
12 201531
13 201027
14 201626
15 200823
16 200619
17 201819
18 202118
19 201114
20 200513

About Beth Binnington

Beth Binnington is a scholar working on Virology, Hematology, Endocrinology, Molecular Biology and Immunology, having authored 43 papers that have together received 1.3k indexed citations. Recurring topics across this work include Sphingolipid Metabolism and Signaling (10 papers), HIV Research and Treatment (8 papers), Blood groups and transfusion (8 papers), Glycosylation and Glycoproteins Research (8 papers), Lipid Membrane Structure and Behavior (7 papers), Toxin Mechanisms and Immunotoxins (6 papers), Escherichia coli research studies (6 papers) and Lysosomal Storage Disorders Research (3 papers). The work is most often cited by research in Endocrinology (254 citations), Virology (69 citations), Immunology (196 citations), Molecular Biology (614 citations) and Hematology (93 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, Julio Lopes Sampaio, Lucie Kalvodova, Michał Grzybek, Cornelia Schroeder and Ilpo Vattulainen. Their work appears in journals such as Transfusion, Journal of Biological Chemistry, Blood, Glycobiology and AIDS.

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.

Explore authors with similar magnitude of impact