William L. Bayer
- Hematology top 5%
- Epidemiology
- Physiology
- Infectious Diseases top 10%
- Biochemistry top 5%
- Co-authors
- Gary E. TegtmeierJessica H. LewisMalcolm L. BeckM. L. BeckFrank E. ShermanRichard H. MichaelsJane M. RachelRobert L. Hardesty
- Topics
- Blood groups and transfusion (8 papers)Erythrocyte Function and Pathophysiology (6 papers)Cytomegalovirus and herpesvirus research (5 papers)
- Partner nations
- United StatesChinaFrance
In The Last Decade
William L. Bayer
38 papers receiving 615 citations
Peers
Comparison fields: 5 of 87
- Hematology 312
- Epidemiology 249
- Physiology 149
- Infectious Diseases 118
- Biochemistry 105
Countries citing papers authored by William L. Bayer
This map shows the geographic impact of William L. Bayer'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 William L. Bayer with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites William L. Bayer more than expected).
Fields of papers citing papers by William L. Bayer
This network shows the impact of papers produced by William L. Bayer. 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 William L. Bayer. The network helps show where William L. Bayer may publish in the future.
Co-authorship network of co-authors of William L. Bayer
This figure shows the co-authorship network connecting the top 25 collaborators of William L. Bayer. A scholar is included among the top collaborators of William L. Bayer based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with William L. Bayer. William L. Bayer is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 25 | |
| 2 | 1 | |
| 3 | 16 | |
| 4 | 3 | |
| 5 | 1 | |
| 6 | 14 | |
| 7 | A solid-phase red cell adherence test for platelet cross-matching. | 37 |
| 8 | 3 | |
| 9 | 51 | |
| 10 | 6 | |
| 11 | 5 | |
| 12 | 10 | |
| 13 | The blood donor: detection and magnitude of cytomegalovirus carrier states and the prevalence of cytomegalovirus antibody. | 38 |
| 14 | 4 | |
| 15 | 66 | |
| 16 | 9 | |
| 17 | 31 | |
| 18 | 13 | |
| 19 | 1 | |
| 20 | [Nutrition of the expectant mother; prophylaxis of the infant]. | 1 |
About William L. Bayer
William L. Bayer is a scholar working on Hematology, Biochemistry and Genetics, having authored 40 papers that have together received 740 indexed citations. Recurring topics across this work include Blood groups and transfusion (8 papers), Erythrocyte Function and Pathophysiology (6 papers) and Cytomegalovirus and herpesvirus research (5 papers). The work is most often cited by research in Hematology (312 citations), Biochemistry (105 citations) and Critical Care and Intensive Care Medicine (45 citations). William L. Bayer has collaborated with scholars based in United States, China and France. Frequent co-authors include Gary E. Tegtmeier, Jessica H. Lewis, Malcolm L. Beck, M. L. Beck, Frank E. Sherman, Richard H. Michaels, Jane M. Rachel, Robert L. Hardesty, Fred V. Plapp and Henry T. Bahnson. Their work appears in journals such as New England Journal of Medicine, Blood and PEDIATRICS.
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.