Nick Orr
Impact in
- Equine top 1%
- Veterinary Equine Medical Research
- Ophthalmology top 2%
- Retinal Diseases and Treatments
Papers in
- Genetics 16
- Genetic Associations and Epidemiology 4
- BRCA gene mutations in cancer 4
- Genetics and Physical Performance 3
-
- Epigenetics and DNA Methylation 3
- Co-authors
- Anne E. Hughes (3 shared papers)Usha Chakravarthy (2 shared papers)Timothy H.J. Goodship (2 shared papers)Martha Diaz-Torres (1 shared paper)Neelam Giri (2 shared papers)Blanche P. Alter (2 shared papers)Sharon A. Savage (2 shared papers)Peter M. Lansdorp (2 shared papers)
- Journals
- Cancer Research (6 papers)Cancer Epidemiology Biomarkers & Prevention (3 papers)PLoS ONE (3 papers)Animal Genetics (2 papers)SLEEP (2 papers)
- Partner nations
- United KingdomUnited StatesIreland
In The Last Decade
Nick Orr
46 papers receiving 2.3k citations
Peers
Comparison fields: 5 of 122
- Equine 121
- Ophthalmology 247
- Genetics 517
- Aging 27
- Molecular Biology 961
Countries citing papers authored by Nick Orr
This map shows the geographic impact of Nick Orr'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 Nick Orr with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Nick Orr more than expected).
Fields of papers citing papers by Nick Orr
This network shows the impact of papers produced by Nick Orr. 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 Nick Orr. The network helps show where Nick Orr may publish in the future.
Co-authors
The 25 scholars most cited alongside Nick Orr, 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 46 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2006 | 366 | |
| 2 | 2008 | 288 | |
| 3 | 2014 | 175 | |
| 4 | 2010 | 163 | |
| 5 | 2012 | 118 | |
| 6 | 2009 | 113 | |
| 7 | 2007 | 81 | |
| 8 | 2014 | 75 | |
| 9 | 2008 | 74 | |
| 10 | 2018 | 74 | |
| 11 | 2013 | 60 | |
| 12 | 2019 | 56 | |
| 13 | 2014 | 51 | |
| 14 | 2004 | 49 | |
| 15 | 2009 | 48 | |
| 16 | 2014 | 47 | |
| 17 | Early removal of drains and discharge of breast cancer surgery patients: a controlled prospective clinical trial. | 1995 | 47 |
| 18 | 2015 | 45 | |
| 19 | 2007 | 44 | |
| 20 | 2008 | 43 |
About Nick Orr
Nick Orr is a scholar working on Genetics, Molecular Biology, Oncology, Physiology and Cancer Research, having authored 46 papers that have together received 2.3k indexed citations. Recurring topics across this work include Genetic Associations and Epidemiology (4 papers), BRCA gene mutations in cancer (4 papers), Epigenetics and DNA Methylation (3 papers), Retinal Diseases and Treatments (3 papers), Genetics and Physical Performance (3 papers), Muscle metabolism and nutrition (2 papers), Retinal Imaging and Analysis (2 papers) and Ovarian cancer diagnosis and treatment (2 papers). The work is most often cited by research in Equine (121 citations), Ophthalmology (247 citations), Genetics (517 citations), Aging (27 citations) and Molecular Biology (961 citations). Nick Orr has collaborated with scholars based in United Kingdom, United States and Ireland. Frequent co-authors include Anne E. Hughes, Usha Chakravarthy, Timothy H.J. Goodship, Martha Diaz-Torres, Neelam Giri, Blanche P. Alter, Sharon A. Savage, Peter M. Lansdorp, Gabriela M. Baerlocher and David E. MacHugh. Their work appears in journals such as Cancer Research, Cancer Epidemiology Biomarkers & Prevention, PLoS ONE, Animal Genetics and SLEEP.
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.