Sam Long
Impact in
- Small Animals top 2%
- Veterinary Orthopedics and Neurology
- Psychiatry and Mental health top 5%
- Epilepsy research and treatment
Papers in
-
- Veterinary Orthopedics and Neurology 6
- Genetics 6
- Glioma Diagnosis and Treatment 4
- Co-authors
- Simon R. Platt (8 shared papers)Kaspar Matiasek (5 shared papers)Clare Rusbridge (6 shared papers)Jacques Penderis (4 shared papers)Michael Podell (4 shared papers)Mette Berendt (4 shared papers)Karen R. Muñana (4 shared papers)Heidrun Potschka (4 shared papers)
- Journals
- Journal of Veterinary Internal Medicine (6 papers)BMC Veterinary Research (5 papers)American Journal of Veterinary Research (3 papers)Frontiers in Veterinary Science (3 papers)Journal of the American Veterinary Medical Association (3 papers)
- Partner nations
- United StatesAustraliaUnited Kingdom
In The Last Decade
Sam Long
47 papers receiving 1.3k citations
Peers
Comparison fields: 5 of 109
- Small Animals 135
- Psychiatry and Mental health 230
- Genetics 133
- Neurology 94
- Equine 17
Countries citing papers authored by Sam Long
This map shows the geographic impact of Sam Long'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 Sam Long with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Sam Long more than expected).
Fields of papers citing papers by Sam Long
This network shows the impact of papers produced by Sam Long. 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 Sam Long. The network helps show where Sam Long may publish in the future.
Co-authors
The 25 scholars most cited alongside Sam Long, 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 47 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2015 | 237 | |
| 2 | 2009 | 183 | |
| 3 | 2015 | 106 | |
| 4 | 1996 | 95 | |
| 5 | 2015 | 67 | |
| 6 | 2006 | 53 | |
| 7 | 2006 | 51 | |
| 8 | 2015 | 40 | |
| 9 | 2009 | 32 | |
| 10 | 1997 | 29 | |
| 11 | 2011 | 24 | |
| 12 | 2006 | 24 | |
| 13 | 2001 | 24 | |
| 14 | 2009 | 23 | |
| 15 | 2013 | 20 | |
| 16 | 2016 | 20 | |
| 17 | 2013 | 20 | |
| 18 | 2011 | 20 | |
| 19 | 2018 | 19 | |
| 20 | 2003 | 19 |
About Sam Long
Sam Long is a scholar working on Small Animals, Genetics, Neurology, Psychiatry and Mental health and Molecular Biology, having authored 47 papers that have together received 1.3k indexed citations. Recurring topics across this work include Veterinary Orthopedics and Neurology (6 papers), Epilepsy research and treatment (5 papers), Veterinary Oncology Research (4 papers), Semiconductor Quantum Structures and Devices (4 papers), Telomeres, Telomerase, and Senescence (4 papers), Glioma Diagnosis and Treatment (4 papers), Strong Light-Matter Interactions (3 papers) and Quantum and electron transport phenomena (3 papers). The work is most often cited by research in Small Animals (135 citations), Psychiatry and Mental health (230 citations), Genetics (133 citations), Neurology (94 citations) and Equine (17 citations). Sam Long has collaborated with scholars based in United States, Australia and United Kingdom. Frequent co-authors include Simon R. Platt, Kaspar Matiasek, Clare Rusbridge, Jacques Penderis, Michael Podell, Mette Berendt, Karen R. Muñana, Heidrun Potschka, Andrea Fischer and Veronika M. Stein. Their work appears in journals such as Journal of Veterinary Internal Medicine, BMC Veterinary Research, American Journal of Veterinary Research, Frontiers in Veterinary Science and Journal of the American Veterinary Medical Association.
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.