Michael Courtney

4.3k citations
103 papers · 3.3k indexed · h-index 37
  • Hematology top 2%
    • Blood Coagulation and Thrombosis Mechanisms 9
    • Protease and Inhibitor Mechanisms 18
  • Genetics top 2%
    • Virus-based gene therapy research 14
    • Venomous Animal Envenomation and Studies 9
  • Oncology top 5%
    • Peptidase Inhibition and Analysis 12
    • RNA and protein synthesis mechanisms 9
    • Viral Infectious Diseases and Gene Expression in Insects 6
    • Cancer Research and Treatments 6

Michael Courtney

99 papers receiving 3.1k citations

Peers

Michael Courtney
Comparison fields: 5 of 151
  • Hematology 597
  • Cancer Research 767
  • Internal Medicine 117
  • Genetics 833
  • Oncology 708
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Åke Lundwall Sweden
Andreas Krueger Germany
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Michael Courtney relative to Åke Lundwall Sweden Åke Lundwall's profile →
Citations per field
00.5×3.9×
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Citations per year

Countries citing papers authored by Michael Courtney

Since Specialization
Citations

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

Fields of papers citing papers by Michael Courtney

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

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

All Works

20 of 20 papers shown
#Work
1 20250
2 20225
3 20213
4 20210
5 202013
6 20161
7 20151
8 20151
9 20142
10 200019
11 199816
12 19984
13 199314
14 199334
15 19911
16 198915
17 198934
18 1988113
19 198760
20 19861

About Michael Courtney

Michael Courtney is a scholar working on Library and Information Sciences, Cancer Research and Biotechnology, having authored 103 papers that have together received 3.3k indexed citations. Recurring topics across this work include Protease and Inhibitor Mechanisms (18 papers), Virus-based gene therapy research (14 papers), Peptidase Inhibition and Analysis (12 papers), Blood Coagulation and Thrombosis Mechanisms (9 papers), RNA and protein synthesis mechanisms (9 papers), Venomous Animal Envenomation and Studies (9 papers), Cancer Research and Treatments (6 papers) and Viral Infectious Diseases and Gene Expression in Insects (6 papers). The work is most often cited by research in Hematology (597 citations), Cancer Research (767 citations) and Internal Medicine (117 citations). Michael Courtney has collaborated with scholars based in France, Ireland and United States. Frequent co-authors include Ronald G. Crystal, Mark Brantly, Jean‐Pierre Lecocq, Robert I. Garver, G A Fells, Sophie Jallat, Fumitaka Ogushi, Anna Chytil, Eric Degryse and T. Nukiwa. Their work appears in journals such as Nature, Science and New England Journal of Medicine.

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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