Margaret Cunningham

860 citations
38 papers · 577 · h-index 16

Impact in

  • Hematology top 5%
    • Blood Coagulation and Thrombosis Mechanisms
    • Platelet Disorders and Treatments
  • Physiology top 10%
    • Adenosine and Purinergic Signaling

Papers in

    • Blood Coagulation and Thrombosis Mechanisms 9
    • Platelet Disorders and Treatments 5
    • Receptor Mechanisms and Signaling 6

Margaret Cunningham

38 papers receiving 571 citations

Peers

Margaret Cunningham
Comparison fields: 5 of 112
  • Hematology 168
  • Physiology 30
  • Genetics 49
  • Immunology and Allergy 23
  • Internal Medicine 12
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Citations per field
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Citations per year

Countries citing papers authored by Margaret Cunningham

Since Specialization
Citations

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

Fields of papers citing papers by Margaret Cunningham

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 38 papers — load more, or switch the sort, to bring in the rest.

#Work
1 202051
2 200942
3 201239
4 201235
5 197334
6 202032
7 201230
8 201828
9 201326
10 200823
11 199423
12 201619
13 201417
14 202117
15 200916
16 201615
17 201514
18 202314
19 201313
20 201313

About Margaret Cunningham

Margaret Cunningham is a scholar working on Hematology, Molecular Biology, Cardiology and Cardiovascular Medicine, Cell Biology and Oncology, having authored 38 papers that have together received 577 indexed citations. Recurring topics across this work include Blood Coagulation and Thrombosis Mechanisms (9 papers), Receptor Mechanisms and Signaling (6 papers), Platelet Disorders and Treatments (5 papers), Adenosine and Purinergic Signaling (4 papers), Cellular transport and secretion (3 papers), Problem and Project Based Learning (3 papers), Antiplatelet Therapy and Cardiovascular Diseases (3 papers) and Neuropeptides and Animal Physiology (3 papers). The work is most often cited by research in Hematology (168 citations), Physiology (30 citations), Genetics (49 citations), Immunology and Allergy (23 citations) and Internal Medicine (12 citations). Margaret Cunningham has collaborated with scholars based in United Kingdom, United States and Ireland. Frequent co-authors include Robin Plevin, Stuart J. Mundell, Shaista P. Nisar, Kathryn McIntosh, J. D. Cash, Trevor J. Bushell, Eamonn Kelly, Susan Currie, Yu Chen and David Li. Their work appears in journals such as Cellular Signalling, British Journal of Pharmacology, Biochemical Society Transactions, Journal of Biological Chemistry and Pharmacology Research & Perspectives.

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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