William L. Bayer

60 total papers · 977 total citations
40 papers, 740 citations indexed

About

William L. Bayer is a scholar working on Hematology, Epidemiology and Physiology. According to data from OpenAlex, William L. Bayer has authored 40 papers receiving a total of 740 indexed citations (citations by other indexed papers that have themselves been cited), including 17 papers in Hematology, 9 papers in Epidemiology and 9 papers in Physiology. Recurrent topics in William L. Bayer's work include Blood groups and transfusion (8 papers), Erythrocyte Function and Pathophysiology (6 papers) and Cytomegalovirus and herpesvirus research (5 papers). William L. Bayer is often cited by papers focused on Blood groups and transfusion (8 papers), Erythrocyte Function and Pathophysiology (6 papers) and Cytomegalovirus and herpesvirus research (5 papers). William L. Bayer collaborates with scholars based in United States, China and France. William L. Bayer's co-authors include Gary E. Tegtmeier, Jessica H. Lewis, Malcolm L. Beck, M. L. Beck, Jane M. Rachel, Frank E. Sherman, Richard H. Michaels, Robert L. Hardesty, Fred V. Plapp and Henry T. Bahnson and has published in prestigious journals such as New England Journal of Medicine, Blood and PEDIATRICS.

In The Last Decade

William L. Bayer

38 papers receiving 614 citations

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author Last Decade Papers Cites
William L. Bayer 312 250 149 119 105 40 740
Hans‐Gert Heuft 254 0.8× 203 0.8× 52 0.3× 119 1.0× 91 0.9× 52 741
Patricia Pisciotto 370 1.2× 167 0.7× 66 0.4× 117 1.0× 294 2.8× 29 807
S. Gerald Sandler 388 1.2× 122 0.5× 175 1.2× 62 0.5× 165 1.6× 49 754
John A. Koepke 204 0.7× 102 0.4× 143 1.0× 45 0.4× 63 0.6× 54 732
D Rafanelli 377 1.2× 73 0.3× 60 0.4× 65 0.5× 115 1.1× 47 732
S. Guidi 431 1.4× 148 0.6× 76 0.5× 97 0.8× 21 0.2× 44 904
Ami Ballin 146 0.5× 345 1.4× 68 0.5× 65 0.5× 23 0.2× 39 842
Ilaria Pati 169 0.5× 103 0.4× 50 0.3× 144 1.2× 131 1.2× 41 752
Dolly Daniel 174 0.6× 273 1.1× 72 0.5× 69 0.6× 16 0.2× 53 673
E. Dybkjær 248 0.8× 215 0.9× 79 0.5× 29 0.2× 242 2.3× 42 846

Countries citing papers authored by William L. Bayer

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

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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.

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