Timothy D. Spector
- Molecular Biology top 10%
- Rheumatology top 0.5%
- Genetics top 2%
- Pharmacology top 1%
- Pathology and Forensic Medicine top 2%
- Co-authors
- Alex J. MacGregorDeborah HartAna M. ValdesGregory LivshitsIda MalkinChristopher J. HammondFrances M. K. WilliamsPhilip N. Sambrook
- Topics
- Genetic Associations and Epidemiology (13 papers)Rheumatoid Arthritis Research and Therapies (9 papers)Osteoarthritis Treatment and Mechanisms (8 papers)
- Partner nations
- United KingdomUnited StatesAustralia
In The Last Decade
Timothy D. Spector
81 papers receiving 4.3k citations
Hit Papers
Peers
Comparison fields: 5 of 172
- Molecular Biology 1.1k
- Rheumatology 1.1k
- Genetics 934
- Pharmacology 648
- Pathology and Forensic Medicine 602
Countries citing papers authored by Timothy D. Spector
This map shows the geographic impact of Timothy D. Spector'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 Timothy D. Spector with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Timothy D. Spector more than expected).
Fields of papers citing papers by Timothy D. Spector
This network shows the impact of papers produced by Timothy D. Spector. 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 Timothy D. Spector. The network helps show where Timothy D. Spector may publish in the future.
Co-authorship network of co-authors of Timothy D. Spector
This figure shows the co-authorship network connecting the top 25 collaborators of Timothy D. Spector. A scholar is included among the top collaborators of Timothy D. Spector based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Timothy D. Spector. Timothy D. Spector is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 13 | |
| 2 | 18 | |
| 3 | 10 | |
| 4 | 14 | |
| 5 | 4 | |
| 6 | 41 | |
| 7 | 35 | |
| 8 | 21 | |
| 9 | 23 | |
| 10 | 13 | |
| 11 | 12 | |
| 12 | 22 | |
| 13 | 174 | |
| 14 | Lumbar disc degeneration and genetic factors are the main risk factors for low back pain in women: the UK Twin Spine Studybreakdown → | 366 |
| 15 | 55 | |
| 16 | 29 | |
| 17 | 6 | |
| 18 | 296 | |
| 19 | 181 | |
| 20 | 5 |
About Timothy D. Spector
Timothy D. Spector is a scholar working on Genetics, Orthopedics and Sports Medicine and Rheumatology, having authored 81 papers that have together received 4.5k indexed citations. Recurring topics across this work include Genetic Associations and Epidemiology (13 papers), Rheumatoid Arthritis Research and Therapies (9 papers) and Osteoarthritis Treatment and Mechanisms (8 papers). The work is most often cited by research in Rheumatology (1.1k citations), Orthopedics and Sports Medicine (385 citations) and Pharmacology (648 citations). Timothy D. Spector has collaborated with scholars based in United Kingdom, United States and Australia. Frequent co-authors include Alex J. MacGregor, Deborah Hart, Ana M. Valdes, Gregory Livshits, Ida Malkin, Christopher J. Hammond, Frances M. K. Williams, Philip N. Sambrook, Alireza Moayyeri and Maria Popham. Their work appears in journals such as Nature Communications, Nature Genetics and Blood.
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.