Beth Boyd
Impact in
- Endocrinology top 0.5%
- Escherichia coli research studies
- Immunology top 5%
- Toxin Mechanisms and Immunotoxins
- Complement system in diseases
Papers in
-
- Escherichia coli research studies 20
- Immunology 11
- Toxin Mechanisms and Immunotoxins 8
- Complement system in diseases 2
- Co-authors
- Clifford A. Lingwood (24 shared papers)Tom G. Obrig (5 shared papers)Chandra B. Louise (3 shared papers)Lise Barley-Maloney (1 shared paper)Thomas O. Daniel (1 shared paper)Gregory J. Tyrrell (3 shared papers)Susan E. Richardson (2 shared papers)Jean Gariépy (2 shared papers)
- Journals
- Infection and Immunity (6 papers)Journal of Biological Chemistry (3 papers)European Journal of Biochemistry (1 paper)Journal of Medical Microbiology (1 paper)Methods in enzymology on CD-ROM/Methods in enzymology (1 paper)
- Partner nations
- CanadaUnited StatesSweden
In The Last Decade
Beth Boyd
26 papers receiving 1.4k citations
Peers
Comparison fields: 5 of 59
- Endocrinology 819
- Immunology 389
- Molecular Biology 404
- Virology 16
- Microbiology 21
Countries citing papers authored by Beth Boyd
This map shows the geographic impact of Beth Boyd'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 Boyd with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Beth Boyd more than expected).
Fields of papers citing papers by Beth Boyd
This network shows the impact of papers produced by Beth Boyd. 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 Boyd. The network helps show where Beth Boyd may publish in the future.
Co-authors
The 25 scholars most cited alongside Beth Boyd, 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 26 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 1993 | 258 | |
| 2 | 1994 | 185 | |
| 3 | 1993 | 96 | |
| 4 | 1996 | 79 | |
| 5 | 1993 | 75 | |
| 6 | 1994 | 75 | |
| 7 | 1994 | 71 | |
| 8 | 1990 | 68 | |
| 9 | 1992 | 65 | |
| 10 | 1999 | 59 | |
| 11 | 2008 | 58 | |
| 12 | 1997 | 54 | |
| 13 | 1998 | 51 | |
| 14 | 1991 | 49 | |
| 15 | 2008 | 47 | |
| 16 | 1995 | 46 | |
| 17 | 2003 | 23 | |
| 18 | 1996 | 19 | |
| 19 | 2000 | 15 | |
| 20 | 1999 | 14 |
About Beth Boyd
Beth Boyd is a scholar working on Endocrinology, Immunology, Molecular Biology, Microbiology and Organic Chemistry, having authored 26 papers that have together received 1.5k indexed citations. Recurring topics across this work include Escherichia coli research studies (20 papers), Toxin Mechanisms and Immunotoxins (8 papers), Sphingolipid Metabolism and Signaling (5 papers), Glycosylation and Glycoproteins Research (4 papers), Carbohydrate Chemistry and Synthesis (2 papers), Complement system in diseases (2 papers), Lysosomal Storage Disorders Research (1 paper) and Hereditary Neurological Disorders (1 paper). The work is most often cited by research in Endocrinology (819 citations), Immunology (389 citations), Molecular Biology (404 citations), Virology (16 citations) and Microbiology (21 citations). Beth Boyd has collaborated with scholars based in Canada, United States and Sweden. Frequent co-authors include Clifford A. Lingwood, Tom G. Obrig, Chandra B. Louise, Lise Barley-Maloney, Thomas O. Daniel, Gregory J. Tyrrell, Susan E. Richardson, Jean Gariépy, Susan A. Kaye and JAMES L. BRUNTON. Their work appears in journals such as Infection and Immunity, Journal of Biological Chemistry, European Journal of Biochemistry, Journal of Medical Microbiology and Methods in enzymology on CD-ROM/Methods in enzymology.
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.