R. Douglas

1.0k citations
15 papers · 934 · h-index 11

Impact in

Papers in

R. Douglas

14 papers receiving 821 citations

Peers

R. Douglas
Comparison fields: 5 of 73
  • Radiology, Nuclear Medicine and Imaging 545
  • Immunology 439
  • Immunology and Allergy 54
  • Hematology 97
  • Molecular Biology 498
Replace Celia P. Milstein with:
Celia P. Milstein Slovakia
J. R. Ellerson Canada
Lisa K. Gilliland United States
H. Tegtmeyer United States
D. Yasmeen Australia
Constantin Mihaesco France
Mark Brunswick United States
Robert H. Painter Canada
Gabriele Matschiner Germany
An-Chuan Wang United States
R. Douglas relative to Celia P. Milstein Slovakia Celia P. Milstein's profile →
Citations per field
00.5×
Celia P. Milstein · 1×
Citations per year

Countries citing papers authored by R. Douglas

Since Specialization
Citations

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

Fields of papers citing papers by R. Douglas

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 18 scholars most cited alongside R. Douglas, 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 R. Douglas Line = papers co-authored together R. Douglas links everyone, so they are left out of the graph.

All Works

15 of 15 papers shown
#Work
1 1981450
2 1980140
3 1984139
4 198036
5 197434
6 198232
7 198023
8 198519
9 197816
10 198313
11 197511
12
Clinical usage of intravenous immunoglobulins in Auckland.
19989
13 19829
14
Transfer factor therapy: clinical experience and the role of the E rosette assay.
19772
15 19811

About R. Douglas

R. Douglas is a scholar working on Molecular Biology, Radiology, Nuclear Medicine and Imaging, Immunology, Hematology and Physiology, having authored 15 papers that have together received 934 indexed citations. Recurring topics across this work include Monoclonal and Polyclonal Antibodies Research (5 papers), Glycosylation and Glycoproteins Research (4 papers), Blood groups and transfusion (3 papers), Erythrocyte Function and Pathophysiology (3 papers), Microbial Metabolites in Food Biotechnology (2 papers), Immunodeficiency and Autoimmune Disorders (2 papers), Enzyme Production and Characterization (2 papers) and Pharmacogenetics and Drug Metabolism (1 paper). The work is most often cited by research in Radiology, Nuclear Medicine and Imaging (545 citations), Immunology (439 citations), Immunology and Allergy (54 citations), Hematology (97 citations) and Molecular Biology (498 citations). R. Douglas has collaborated with scholars based in United States, Australia and Nigeria. Frequent co-authors include Leroy Hood, Patricia J. Gearhart, Nelson D. Johnson, S. J. Ewald, William C. Raschke, Carol Hopkins Sibley, Marilyn R. Kehry, D M Fambrough, Donald E. Hultquist and Roger M. Perlmutter. Their work appears in journals such as Transfusion, Vox Sanguinis, The Journal of Immunology, Biochemical and Biophysical Research Communications and Nature.

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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