Colm Farrell
Impact in
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- Blood groups and transfusion
- Platelet Disorders and Treatments
Papers in
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- Receptor Mechanisms and Signaling 4
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- Platelet Disorders and Treatments 3
- Co-authors
- S.‐E. SVEHAG (3 shared papers)Kathy M. O’Boyle (3 shared papers)Alan W. Baird (1 shared paper)Henry Søgaard (1 shared paper)Edward A. Dominguez (1 shared paper)Hans Jørgen Nielsen (1 shared paper)Carlos V. Payá (1 shared paper)Nigel Heaton (1 shared paper)
- Journals
- The Journal of Clinical Pharmacology (4 papers)British Journal of Clinical Pharmacology (4 papers)CPT Pharmacometrics & Systems Pharmacology (3 papers)Scandinavian Journal of Immunology (2 papers)Clinical Pharmacokinetics (2 papers)
- Partner nations
- United StatesUnited KingdomSwitzerland
In The Last Decade
Colm Farrell
30 papers receiving 406 citations
Peers
Comparison fields: 5 of 68
- Hematology 49
- Transplantation 11
- Epidemiology 133
- Anesthesiology and Pain Medicine 20
- Genetics 34
Countries citing papers authored by Colm Farrell
This map shows the geographic impact of Colm Farrell'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 Colm Farrell with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Colm Farrell more than expected).
Fields of papers citing papers by Colm Farrell
This network shows the impact of papers produced by Colm Farrell. 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 Colm Farrell. The network helps show where Colm Farrell may publish in the future.
Co-authors
The 25 scholars most cited alongside Colm Farrell, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 31 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2005 | 92 | |
| 2 | 1995 | 54 | |
| 3 | 1977 | 49 | |
| 4 | 2018 | 32 | |
| 5 | 1975 | 30 | |
| 6 | 2013 | 24 | |
| 7 | 2007 | 17 | |
| 8 | 2012 | 15 | |
| 9 | 2023 | 14 | |
| 10 | 2013 | 13 | |
| 11 | 2017 | 11 | |
| 12 | 2015 | 10 | |
| 13 | 2016 | 10 | |
| 14 | 2018 | 8 | |
| 15 | 2014 | 6 | |
| 16 | 2023 | 5 | |
| 17 | 2022 | 4 | |
| 18 | 2019 | 4 | |
| 19 | 2023 | 4 | |
| 20 | 1995 | 4 |
About Colm Farrell
Colm Farrell is a scholar working on Molecular Biology, Hematology, Genetics, Epidemiology and Cellular and Molecular Neuroscience, having authored 31 papers that have together received 426 indexed citations. Recurring topics across this work include Receptor Mechanisms and Signaling (4 papers), Monoclonal and Polyclonal Antibodies Research (4 papers), Cytomegalovirus and herpesvirus research (3 papers), Platelet Disorders and Treatments (3 papers), Chronic Lymphocytic Leukemia Research (2 papers), Coagulation, Bradykinin, Polyphosphates, and Angioedema (2 papers), Vitamin K Research Studies (2 papers) and Neurotransmitter Receptor Influence on Behavior (2 papers). The work is most often cited by research in Hematology (49 citations), Transplantation (11 citations), Epidemiology (133 citations), Anesthesiology and Pain Medicine (20 citations) and Genetics (34 citations). Colm Farrell has collaborated with scholars based in United States, United Kingdom and Switzerland. Frequent co-authors include S.‐E. SVEHAG, Kathy M. O’Boyle, Alan W. Baird, Henry Søgaard, Edward A. Dominguez, Hans Jørgen Nielsen, Carlos V. Payá, Nigel Heaton, Harry Daugharty and Hugh Wiltshire. Their work appears in journals such as The Journal of Clinical Pharmacology, British Journal of Clinical Pharmacology, CPT Pharmacometrics & Systems Pharmacology, Scandinavian Journal of Immunology and Clinical Pharmacokinetics.
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.