A W Boyd

3.3k total citations · 1 hit paper
49 papers, 2.8k citations indexed

About

A W Boyd is a scholar working on Immunology, Radiology, Nuclear Medicine and Imaging and Immunology and Allergy. According to data from OpenAlex, A W Boyd has authored 49 papers receiving a total of 2.8k indexed citations (citations by other indexed papers that have themselves been cited), including 30 papers in Immunology, 18 papers in Radiology, Nuclear Medicine and Imaging and 12 papers in Immunology and Allergy. Recurrent topics in A W Boyd's work include Monoclonal and Polyclonal Antibodies Research (18 papers), Immunotherapy and Immune Responses (12 papers) and Cell Adhesion Molecules Research (12 papers). A W Boyd is often cited by papers focused on Monoclonal and Polyclonal Antibodies Research (18 papers), Immunotherapy and Immune Responses (12 papers) and Cell Adhesion Molecules Research (12 papers). A W Boyd collaborates with scholars based in Australia, United States and United Kingdom. A W Boyd's co-authors include Stuart F. Schlossman, Chikao Morimoto, Norman L. Letvin, Howard Mayer Brown, AS Freedman, L M Nadler, LM Nadler, S F Schlossman, G F Burns and DC Fisher and has published in prestigious journals such as Proceedings of the National Academy of Sciences, The Journal of Experimental Medicine and Blood.

In The Last Decade

A W Boyd

49 papers receiving 2.6k citations

Hit Papers

The isolation and characterization of the human helper in... 1985 2026 1998 2012 1985 200 400 600

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
A W Boyd Australia 26 1.7k 638 547 511 476 49 2.8k
Ruth I. Brezinschek United States 24 1.4k 0.8× 765 1.2× 395 0.7× 226 0.4× 402 0.8× 38 2.5k
Rizgar A. Mageed United Kingdom 32 2.0k 1.2× 1.0k 1.6× 432 0.8× 333 0.7× 292 0.6× 112 3.2k
SF Schlossman United States 19 1.2k 0.7× 917 1.4× 932 1.7× 740 1.4× 612 1.3× 45 2.9k
J C Brouet France 28 1.2k 0.7× 417 0.7× 725 1.3× 992 1.9× 626 1.3× 70 2.9k
KA Foon United States 23 1.1k 0.7× 588 0.9× 686 1.3× 591 1.2× 451 0.9× 39 2.2k
G Jánossy United Kingdom 33 1.6k 0.9× 471 0.7× 740 1.4× 1.2k 2.4× 430 0.9× 59 3.5k
Elizabeth Raveché United States 31 1.6k 0.9× 431 0.7× 580 1.1× 180 0.4× 480 1.0× 83 2.8k
JG Gribben United States 28 2.5k 1.5× 350 0.5× 825 1.5× 887 1.7× 1.3k 2.7× 57 4.3k
Mitsuru Tsudo Japan 27 2.1k 1.3× 305 0.5× 258 0.5× 287 0.6× 862 1.8× 75 3.1k
Viktor Roschke United States 16 2.2k 1.3× 850 1.3× 296 0.5× 211 0.4× 249 0.5× 18 3.2k

Countries citing papers authored by A W Boyd

Since Specialization
Citations

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

Fields of papers citing papers by A W Boyd

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of A W Boyd

This figure shows the co-authorship network connecting the top 25 collaborators of A W Boyd. A scholar is included among the top collaborators of A W Boyd 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 A W Boyd. A W Boyd is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
1.
O’Donnell, Kristy, et al.. (2001). Characterization of a human synovial cell antigen: VCAM‐1 and inflammatory arthritis. Immunology and Cell Biology. 79(5). 419–428. 4 indexed citations
2.
Hixon, Jeffrey, et al.. (2000). Differential effects of CD40 stimulation on normal and neoplastic cell growth.. PubMed. 48(4). 225–33. 10 indexed citations
3.
Shafren, Darren R., et al.. (1996). A common epitope on platelet integrin α IIb β 3 (glycoprotein IIbIIIa; CD41b/CD61) and α M β 2 (Mac-1; CDIIb/CD18) detected by a monoclonal antibody. The Journal of Immunology. 156(1). 284–288. 10 indexed citations
4.
5.
Agrez, Michael, Richard C. Bates, A W Boyd, & Gordon F. Burns. (1991). Arg-Gly-Asp-containing peptides expose novel collagen receptors on fibroblasts: implications for wound healing.. PubMed. 2(12). 1035–1044. 30 indexed citations
6.
Duguid, I G, A W Boyd, & T E Mandel. (1991). The expression of adhesion molecules in the human retina and choroid. Australian and New Zealand Journal of Ophthalmology. 19(4). 309–316. 16 indexed citations
7.
Wawryk, S. O., et al.. (1991). Analysis of adhesion molecules in the immunopathogenesis of giant cell arteritis.. Journal of Clinical Pathology. 44(6). 497–501. 25 indexed citations
8.
Kent, S.B.H., et al.. (1991). Inhibition of intercellular adhesion molecule 1-dependent biological activities by a synthetic peptide analog.. Proceedings of the National Academy of Sciences. 88(7). 2879–2882. 28 indexed citations
9.
Biggs, Beverley‐Ann, Lisa Goozé, K Wycherley, et al.. (1990). Knob-independent cytoadherence of Plasmodium falciparum to the leukocyte differentiation antigen CD36.. The Journal of Experimental Medicine. 171(6). 1883–1892. 52 indexed citations
10.
11.
Boyd, A W, David W. Ellis, George Kannourakis, et al.. (1988). Activated killer cell lymphoma: An erythrophagocytic syndrome simulating histiocytic medullary histiocytosis. Pathology. 20(3). 265–270. 7 indexed citations
12.
Boyd, A W, Thomas F. Tedder, James D. Griffin, et al.. (1987). Preexposure of resting B cells to interferon-γ enhances their proliferative response to subsequent activation signals. Cellular Immunology. 106(2). 355–365. 15 indexed citations
13.
Freedman, AS, et al.. (1987). Normal cellular counterparts of B cell chronic lymphocytic leukemia. Blood. 70(2). 418–427. 8 indexed citations
14.
Ashinoff, Robin, et al.. (1986). Cisplatin and vinblastine chemotherapy for metastatic non-small cell carcinoma followed by irradiation in patients with regional disease.. PubMed. 70(3). 333–7. 11 indexed citations
15.
Burns, Gordon F., Tony Triglia, J. A. Werkmeister, C. Glenn Begley, & A W Boyd. (1985). TLiSA1, a human T lineage-specific activation antigen involved in the differentiation of cytotoxic T lymphocytes and anomalous killer cells from their precursors.. The Journal of Experimental Medicine. 161(5). 1063–1078. 92 indexed citations
16.
Boyd, A W, KS Anderson, AS Freedman, et al.. (1985). Studies of in vitro activation and differentiation of human B lymphocytes. I. Phenotypic and functional characterization of the B cell population responding to anti-Ig antibody.. The Journal of Immunology. 134(3). 1516–1523. 101 indexed citations
17.
Anderson, KC, et al.. (1985). Hairy cell leukemia: a tumor of pre-plasma cells. Blood. 65(3). 620–629. 12 indexed citations
18.
Burns, G F, A W Boyd, & Peter C. L. Beverley. (1982). Two monoclonal anti-human T lymphocyte antibodies have similar biologic effects and recognize the same cell surface antigen.. The Journal of Immunology. 129(4). 1451–1457. 113 indexed citations
19.
Pike, Beverley L., A W Boyd, & G. J. V. Nossal. (1982). Clonal anergy: the universally anergic B lymphocyte.. Proceedings of the National Academy of Sciences. 79(6). 2013–2017. 77 indexed citations
20.
Boyd, A W, et al.. (1981). Identification of another surface antigen common to lymphocytes and brain cells. Neuroscience Letters. 35. 2 indexed citations

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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