William C. Boyd

3.5k citations
97 papers · 1.6k · h-index 22

Impact in

  • Hematology top 5%
    • Blood groups and transfusion
  • Immunology top 10%
    • Toxin Mechanisms and Immunotoxins
    • Galectins and Cancer Biology

Papers in

    • Glycosylation and Glycoproteins Research 14
    • Gene expression and cancer classification 4
    • Blood groups and transfusion 13

William C. Boyd

93 papers receiving 1.4k citations

Peers

William C. Boyd
Comparison fields: 5 of 157
  • Hematology 213
  • Immunology 324
  • Biotechnology 103
  • Physiology 221
  • Molecular Biology 575
Replace J. Margolis with:
J. Margolis Australia
A. E. Vatter United States
R E Canfield United States
William Niedermeier United States
Emma Shelton United States
Michela Tonetti Italy
Wolf‐Bernhard Schill Germany
Edith Wiener United Kingdom
Warwick L. Morison United States
Manfred M. Mayer United States
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Citations per field
00.5×2.9×
J. Margolis · 1×
Citations per year

Countries citing papers authored by William C. Boyd

Since Specialization
Citations

This map shows the geographic impact of William C. 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 William C. Boyd with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites William C. Boyd more than expected).

Fields of papers citing papers by William C. Boyd

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by William C. 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 William C. Boyd. The network helps show where William C. Boyd may publish in the future.

Co-authors

The 25 scholars most cited alongside William C. Boyd, 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 William C. Boyd Line = papers co-authored together William C. Boyd links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 97 papers — load more, or switch the sort, to bring in the rest.

#Work
1 1954168
2 1975129
3 196687
4 195485
5 196281
6 195660
7 195451
8 196847
9
Diagnosis by subgroups of blood groups A and AB by use of plant agglutinins (lectins).
195447
10 200543
11 195643
12 197042
13 196139
14 195834
15 196534
16 196333
17 196533
18 195530
19 196629
20
Maximum likelihood method for estimation of gene frequencies from MNS data.
195429

About William C. Boyd

William C. Boyd is a scholar working on Molecular Biology, Hematology, Genetics, Immunology and Surgery, having authored 97 papers that have together received 1.6k indexed citations. Recurring topics across this work include Glycosylation and Glycoproteins Research (14 papers), Blood groups and transfusion (13 papers), Carbohydrate Chemistry and Synthesis (6 papers), Toxin Mechanisms and Immunotoxins (5 papers), Erythrocyte Function and Pathophysiology (5 papers), Monoclonal and Polyclonal Antibodies Research (4 papers), Gene expression and cancer classification (4 papers) and Legume Nitrogen Fixing Symbiosis (3 papers). The work is most often cited by research in Hematology (213 citations), Immunology (324 citations), Biotechnology (103 citations), Physiology (221 citations) and Molecular Biology (575 citations). William C. Boyd has collaborated with scholars based in United States, Puerto Rico and Sri Lanka. Frequent co-authors include Lyle G. Boyd, Luis R. Almodóvar, Charles E. Hartford, Edward E. Mason, K J Printen, Rebecca E. Brown, H. M. Bhatia, Paul Doty, Rebecca Brown and Pamela J. Lambert. Their work appears in journals such as The Journal of Immunology, Nature, Science, Transfusion and American Journal of Physical Anthropology.

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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