Robert Coupland

40 papers receiving 1.7k citations

Peers

Robert Coupland
Comparison fields: 5 of 77
  • Pathology and Forensic Medicine 794
  • Genetics 428
  • Hematology 324
  • Oncology 582
  • Dermatology 105
Replace R. D. Gascoyne with:
R. D. Gascoyne Canada
András Matolcsy Hungary
P. M. Kluin Netherlands
Eugenia Haralambieva Germany
Steven J. Kussick United States
Roberta Pacini Italy
Evelyne Callet‐Bauchu France
Bernard Lenormand France
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Robert Coupland relative to R. D. Gascoyne Canada R. D. Gascoyne's profile →
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Citations per year

Countries citing papers authored by Robert Coupland

Since Specialization
Citations

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

Fields of papers citing papers by Robert Coupland

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 40 papers — load more, or switch the sort, to bring in the rest.

#Work
1 1997188
2 1995174
3 2003142
4
Molecular genetics and the diagnosis of lymphoma.
1988136
5 2000111
6 200397
7 199286
8 199779
9 200173
10 199363
11 200253
12 200144
13 199944
14 200035
15
Consequences of the t(14;18) chromosomal translocation in follicular lymphoma: deregulated expression of a chimeric and mutated BCL-2 gene.
198832
16 200030
17
Immunohistochemical detection of E2F-1 in non-Hodgkin's lymphomas: a survey of 124 cases.
199828
18 200426
19 201225
20 200425

About Robert Coupland

Robert Coupland is a scholar working on Pathology and Forensic Medicine, Genetics, Oncology, Hematology and Molecular Biology, having authored 40 papers that have together received 1.7k indexed citations. Recurring topics across this work include Lymphoma Diagnosis and Treatment (21 papers), Chronic Lymphocytic Leukemia Research (12 papers), Viral-associated cancers and disorders (7 papers), Multiple Myeloma Research and Treatments (5 papers), Sarcoma Diagnosis and Treatment (3 papers), Ubiquitin and proteasome pathways (3 papers), T-cell and Retrovirus Studies (3 papers) and CNS Lymphoma Diagnosis and Treatment (3 papers). The work is most often cited by research in Pathology and Forensic Medicine (794 citations), Genetics (428 citations), Hematology (324 citations), Oncology (582 citations) and Dermatology (105 citations). Robert Coupland has collaborated with scholars based in Canada, United States and India. Frequent co-authors include Douglas E. Horsman, Randy D. Gascoyne, Andrew J. Coldman, Jeffrey Cossman, M. Uppenkamp, Andrew R. Belch, Karen Seeberger, James T. Sundeen, Linda M. Pilarski and Mark Raffeld. Their work appears in journals such as Blood, Modern Pathology, Archives of Pathology & Laboratory Medicine, Journal of Surgical Oncology and Transfusion.

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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