R. MacDonald

567 total citations
10 papers, 467 citations indexed

About

R. MacDonald is a scholar working on Immunology, Molecular Biology and Genetics. According to data from OpenAlex, R. MacDonald has authored 10 papers receiving a total of 467 indexed citations (citations by other indexed papers that have themselves been cited), including 4 papers in Immunology, 3 papers in Molecular Biology and 2 papers in Genetics. Recurrent topics in R. MacDonald's work include Immunodeficiency and Autoimmune Disorders (3 papers), Escherichia coli research studies (2 papers) and Monoclonal and Polyclonal Antibodies Research (2 papers). R. MacDonald is often cited by papers focused on Immunodeficiency and Autoimmune Disorders (3 papers), Escherichia coli research studies (2 papers) and Monoclonal and Polyclonal Antibodies Research (2 papers). R. MacDonald collaborates with scholars based in Australia, United States and Sweden. R. MacDonald's co-authors include C. S. Hosking, Colin L. Jones, Jeffrey B. Rubins, Edward N. Janoff, Darlene Charboneau, Don Roberton, C. L. Jones, Felix H. Sennhauser, David Coman and James McGill and has published in prestigious journals such as The Journal of Infectious Diseases, Journal of Immunological Methods and Pediatric Research.

In The Last Decade

R. MacDonald

10 papers receiving 458 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
R. MacDonald Australia	9	168	141	116	70	62	10	467
B Rynnel-Dagöö Sweden	15	218 1.3×	236 1.7×	116 1.0×	120 1.7×	154 2.5×	18	642
M Šuša Germany	12	156 0.9×	137 1.0×	201 1.7×	33 0.5×	119 1.9×	15	654
J Fernández Chile	12	171 1.0×	110 0.8×	68 0.6×	81 1.2×	111 1.8×	19	463
Martina Bongartz Germany	9	119 0.7×	268 1.9×	93 0.8×	48 0.7×	37 0.6×	11	602
René Pirès France	13	182 1.1×	297 2.1×	119 1.0×	165 2.4×	159 2.6×	18	626
Joseph David United States	5	141 0.8×	194 1.4×	130 1.1×	169 2.4×	40 0.6×	13	443
J Mĕstecký United States	12	96 0.6×	299 2.1×	127 1.1×	121 1.7×	82 1.3×	20	830
S Iscaki France	14	60 0.4×	252 1.8×	109 0.9×	150 2.1×	34 0.5×	34	486
Stefanía P. Bjarnarson Iceland	12	255 1.5×	309 2.2×	132 1.1×	164 2.3×	77 1.2×	21	652
Faı̈za Rharbaoui Germany	11	92 0.5×	243 1.7×	117 1.0×	53 0.8×	62 1.0×	21	471

Countries citing papers authored by R. MacDonald

Since Specialization

Citations

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

Fields of papers citing papers by R. MacDonald

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by R. MacDonald. 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 R. MacDonald. The network helps show where R. MacDonald may publish in the future.

Co-authorship network of co-authors of R. MacDonald

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

All Works

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10 of 10 papers shown

Ozay, Emrah Ilker, Jyothi Vijayaraghavan, Gabriela González‐Pérez, et al.. (2019). Cymerus™ iPSC-MSCs significantly prolong survival in a pre-clinical, humanized mouse model of Graft-vs-host disease. Stem Cell Research. 35. 101401–101401. 47 indexed citations

Coman, David, James McGill, R. MacDonald, et al.. (2007). Congenital disorder of glycosylation type 1a: Three siblings with a mild neurological phenotype. Journal of Clinical Neuroscience. 14(7). 668–672. 28 indexed citations

Rubins, Jeffrey B., et al.. (1998). Magnitude, Duration, Quality, and Function of Pneumococcal Vaccine Responses in Elderly Adults. The Journal of Infectious Diseases. 178(2). 431–440. 110 indexed citations

Sennhauser, Felix H., Anne Balloch, R. MacDonald, Michael J. Shelton, & Don Roberton. (1990). Maternofetal Transfer of IgG Anti-Escherichia coli Antibodies with Enhanced Avidity and Opsonic Activity in Very Premature Neonates. Pediatric Research. 27(4). 365–371. 15 indexed citations

Sennhauser, Felix H., R. MacDonald, Don Roberton, & C. S. Hosking. (1989). Comparison of concentration and avidity of specific antibodies to E. coli in breast milk and serum.. PubMed. 66(3). 394–7. 9 indexed citations

Dahlgren, U., B. Carlsson, F Jalil, et al.. (1989). Induction of the Mucosal Immune Response. Current topics in microbiology and immunology. 146. 155–160. 9 indexed citations

MacDonald, R., C. S. Hosking, & Colin L. Jones. (1988). The measurement of relative antibody affinity by ELISA using thiocyanate elution. Journal of Immunological Methods. 106(2). 191–194. 214 indexed citations

Sennhauser, Felix H., et al.. (1988). Anti-IgA antibodies in IgA-deficient children. Journal of Clinical Immunology. 8(5). 356–361. 8 indexed citations

MacDonald, R. & C. S. Hosking. (1988). Reply to the letter of T.J. Hall and C. Heckel. Journal of Immunological Methods. 115(1). 155–155. 1 indexed citations

10.

Jones, C. L., R. MacDonald, C. S. Hosking, & Don Roberton. (1987). Estimating the relative avidity of mucosal IgA for antigen. Journal of Immunological Methods. 105(1). 111–117. 26 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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