Edwin D. Bayrd
Impact in
- Hematology top 2%
- Multiple Myeloma Research and Treatments
- Acute Myeloid Leukemia Research
- Genetics top 5%
- Chronic Lymphocytic Leukemia Research
Papers in
-
- Amyloidosis: Diagnosis, Treatment, Outcomes 4
- Protein Degradation and Inhibitors 2
- Genetics 6
- Chronic Lymphocytic Leukemia Research 5
- Co-authors
- Robert A. Kyle (6 shared papers)Robert V. Pierre (2 shared papers)B. A. Peterson (1 shared paper)Anne I. Goldman (1 shared paper)Glauco Frizzera (1 shared paper)Jorge E. Maldonado (4 shared papers)Edgar G. Harrison (2 shared papers)Charles H. Watkins (2 shared papers)
- Journals
- Blood (4 papers)The American Journal of Medicine (4 papers)American Journal of Clinical Pathology (3 papers)Cancer (3 papers)Annals of Internal Medicine (2 papers)
- Partner nations
- United StatesSlovenia
In The Last Decade
Edwin D. Bayrd
25 papers receiving 1.1k citations
Peers
Comparison fields: 5 of 85
- Hematology 424
- Genetics 289
- Oncology 466
- Rheumatology 160
- Physiology 266
Countries citing papers authored by Edwin D. Bayrd
This map shows the geographic impact of Edwin D. Bayrd'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 Edwin D. Bayrd with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Edwin D. Bayrd more than expected).
Fields of papers citing papers by Edwin D. Bayrd
This network shows the impact of papers produced by Edwin D. Bayrd. 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 Edwin D. Bayrd. The network helps show where Edwin D. Bayrd may publish in the future.
Co-authors
The 24 scholars most cited alongside Edwin D. Bayrd, 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 29 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 1985 | 309 | |
| 2 | 1970 | 236 | |
| 3 | 1967 | 101 | |
| 4 | 1959 | 82 | |
| 5 | 1965 | 73 | |
| 6 | 1971 | 67 | |
| 7 | 1966 | 60 | |
| 8 | 1966 | 52 | |
| 9 | 1973 | 51 | |
| 10 | 1957 | 47 | |
| 11 | 1974 | 43 | |
| 12 | 1954 | 36 | |
| 13 | 1966 | 31 | |
| 14 | 1960 | 28 | |
| 15 | 1954 | 27 | |
| 16 | 1965 | 27 | |
| 17 | 1951 | 22 | |
| 18 | 1965 | 22 | |
| 19 | 1952 | 22 | |
| 20 | 1960 | 12 |
About Edwin D. Bayrd
Edwin D. Bayrd is a scholar working on Molecular Biology, Genetics, Epidemiology, Hematology and Infectious Diseases, having authored 29 papers that have together received 1.4k indexed citations. Recurring topics across this work include Multiple Myeloma Research and Treatments (6 papers), Chronic Lymphocytic Leukemia Research (5 papers), Amyloidosis: Diagnosis, Treatment, Outcomes (4 papers), Parvovirus B19 Infection Studies (3 papers), Protein Degradation and Inhibitors (2 papers), Viral-associated cancers and disorders (2 papers), Monoclonal and Polyclonal Antibodies Research (2 papers) and Herpesvirus Infections and Treatments (2 papers). The work is most often cited by research in Hematology (424 citations), Genetics (289 citations), Oncology (466 citations), Rheumatology (160 citations) and Physiology (266 citations). Edwin D. Bayrd has collaborated with scholars based in United States and Slovenia. Frequent co-authors include Robert A. Kyle, Robert V. Pierre, B. A. Peterson, Anne I. Goldman, Glauco Frizzera, Jorge E. Maldonado, Edgar G. Harrison, Charles H. Watkins, Gertrude L. Pease and Arnold L. Brown. Their work appears in journals such as Blood, The American Journal of Medicine, American Journal of Clinical Pathology, Cancer and Annals of Internal Medicine.
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.