William C. Boyd

3.5k citations
100 papers · 1.9k · h-index 24

Impact in

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

Papers in

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

William C. Boyd

95 papers receiving 1.5k citations

Peers

William C. Boyd
Comparison fields: 5 of 159
  • Hematology 224
  • Immunology 370
  • Biotechnology 116
  • Physiology 245
  • Molecular Biology 662
Replace J. Margolis with:
J. Margolis Australia
A. E. Vatter United States
R E Canfield United States
K. Hannig Germany
Michela Tonetti Italy
Stephen Keller United States
Wolf‐Bernhard Schill Germany
Emma Shelton United States
Sidney Shulman United States
Warwick L. Morison United States
William C. Boyd relative to J. Margolis Australia J. Margolis's profile →
Citations per field
00.5×
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 100 papers — load more, or switch the sort, to bring in the rest.

#Work
1 1954192
2 1975144
3 196695
4 196293
5 195492
6 195669
7 195464
8 196855
9 197052
10 195650
11
Diagnosis by subgroups of blood groups A and AB by use of plant agglutinins (lectins).
195448
12 196144
13 200543
14 196542
15 195840
16 196339
17 196637
18 195535
19 196533
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 100 papers that have together received 1.9k indexed citations. Recurring topics across this work include Glycosylation and Glycoproteins Research (14 papers), Blood groups and transfusion (14 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 (224 citations), Immunology (370 citations), Biotechnology (116 citations), Physiology (245 citations) and Molecular Biology (662 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, Rebecca E. Brown, K J Printen, Edward E. Mason, H. M. Bhatia, Paul Doty, Rebecca Brown and Pamela J. Lambert. Their work appears in journals such as The Journal of Immunology, Nature, Transfusion, American Journal of Physical Anthropology and Science.

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.

Explore authors with similar magnitude of impact