Finbarr E. Cotter
Impact in
- Genetics top 1%
- Chronic Lymphocytic Leukemia Research
- Hematology top 1%
- Acute Myeloid Leukemia Research
Papers in
- Genetics 36
- Chronic Lymphocytic Leukemia Research 31
- Genomic variations and chromosomal abnormalities 8
- Hematology 31
- Acute Myeloid Leukemia Research 19
- Co-authors
- David Cunningham (4 shared papers)Paul Andrew Clarke (3 shared papers)Andrew R Webb (2 shared papers)Florence I. Raynaud (3 shared papers)Margherita Corbo (9 shared papers)Paul J. Ross (2 shared papers)Zofia E. Dziewanowska (2 shared papers)Emanuele Zucca (13 shared papers)
- Journals
- British Journal of Haematology (32 papers)Blood (12 papers)Annals of Oncology (9 papers)Genes Chromosomes and Cancer (5 papers)Genomics (5 papers)
- Partner nations
- United KingdomUnited StatesSwitzerland
In The Last Decade
Finbarr E. Cotter
129 papers receiving 5.5k citations
Peers
Comparison fields: 5 of 116
- Genetics 939
- Hematology 895
- Pathology and Forensic Medicine 1.2k
- Oncology 1.2k
- Immunology 833
Countries citing papers authored by Finbarr E. Cotter
This map shows the geographic impact of Finbarr E. Cotter'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 Finbarr E. Cotter with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Finbarr E. Cotter more than expected).
Fields of papers citing papers by Finbarr E. Cotter
This network shows the impact of papers produced by Finbarr E. Cotter. 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 Finbarr E. Cotter. The network helps show where Finbarr E. Cotter may publish in the future.
Co-authors
The 25 scholars most cited alongside Finbarr E. Cotter, 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 132 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 1997 | 419 | |
| 2 | 2000 | 386 | |
| 3 | 2002 | 317 | |
| 4 | 1997 | 297 | |
| 5 | 2004 | 248 | |
| 6 | 1997 | 215 | |
| 7 | 1997 | 173 | |
| 8 | Antisense oligonucleotides suppress B-cell lymphoma growth in a SCID-hu mouse model. | 1994 | 171 |
| 9 | 2005 | 165 | |
| 10 | 2008 | 153 | |
| 11 | 2003 | 136 | |
| 12 | 1991 | 127 | |
| 13 | 1989 | 127 | |
| 14 | 1987 | 121 | |
| 15 | 2010 | 110 | |
| 16 | 1997 | 99 | |
| 17 | 2003 | 80 | |
| 18 | 2003 | 78 | |
| 19 | 1994 | 77 | |
| 20 | 2004 | 74 |
About Finbarr E. Cotter
Finbarr E. Cotter is a scholar working on Genetics, Hematology, Pathology and Forensic Medicine, Oncology and Molecular Biology, having authored 132 papers that have together received 5.8k indexed citations. Recurring topics across this work include Chronic Lymphocytic Leukemia Research (31 papers), Lymphoma Diagnosis and Treatment (31 papers), Acute Myeloid Leukemia Research (19 papers), Viral-associated cancers and disorders (15 papers), Cell death mechanisms and regulation (11 papers), Advanced biosensing and bioanalysis techniques (10 papers), Acute Lymphoblastic Leukemia research (9 papers) and Genomic variations and chromosomal abnormalities (8 papers). The work is most often cited by research in Genetics (939 citations), Hematology (895 citations), Pathology and Forensic Medicine (1.2k citations), Oncology (1.2k citations) and Immunology (833 citations). Finbarr E. Cotter has collaborated with scholars based in United Kingdom, United States and Switzerland. Frequent co-authors include David Cunningham, Paul Andrew Clarke, Andrew R Webb, Florence I. Raynaud, Margherita Corbo, Paul J. Ross, Zofia E. Dziewanowska, Emanuele Zucca, Bryan D. Young and Justin S. Waters. Their work appears in journals such as British Journal of Haematology, Blood, Annals of Oncology, Genes Chromosomes and Cancer and Genomics.
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.