T.E. Swingler
- Cancer Research top 2%
- MicroRNA in disease regulation 11
- Cancer-related molecular mechanisms research 11
- Protease and Inhibitor Mechanisms 5
- Rheumatology top 1%
- Osteoarthritis Treatment and Mechanisms 15
- Molecular Biology top 10%
- Circular RNAs in diseases 6
- Cancer-related gene regulation 6
- Genomics and Chromatin Dynamics 3
- Immunology and Allergy top 5%
- Oncology top 10%
- Peptidase Inhibition and Analysis 5
- Co-authors
- Ian M. ClarkDylan R. EdwardsClara Luz SampieriDavid A. YoungLinh T. T. LeRose K. DavidsonSimon DonellTamás Dalmay
- Journals
- Osteoarthritis and Cartilage (7 papers)Biochemical Journal (3 papers)Biochimica et Biophysica Acta (BBA) - Molecular Basis of Disease (2 papers)
- Partner nations
- United KingdomUnited StatesFinland
In The Last Decade
T.E. Swingler
34 papers receiving 2.0k citations
Peers
Comparison fields: 5 of 113
- Cancer Research 954
- Rheumatology 743
- Molecular Biology 1.0k
- Immunology and Allergy 90
- Oncology 283
Countries citing papers authored by T.E. Swingler
This map shows the geographic impact of T.E. Swingler'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 T.E. Swingler with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites T.E. Swingler more than expected).
Fields of papers citing papers by T.E. Swingler
This network shows the impact of papers produced by T.E. Swingler. 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 T.E. Swingler. The network helps show where T.E. Swingler may publish in the future.
Co-authorship network
The 25 scholars most cited alongside T.E. Swingler, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2025 | 1 | |
| 2 | 2020 | 17 | |
| 3 | 2020 | 8 | |
| 4 | 2018 | 1 | |
| 5 | 2015 | 38 | |
| 6 | 2015 | 109 | |
| 7 | 2015 | 1 | |
| 8 | 2014 | 2 | |
| 9 | 2014 | 2 | |
| 10 | 2013 | 20 | |
| 11 | 2012 | 1 | |
| 12 | 2012 | 32 | |
| 13 | 2010 | 210 | |
| 14 | 2010 | 65 | |
| 15 | 2007 | 457 | |
| 16 | 2002 | 91 | |
| 17 | 2002 | 37 | |
| 18 | 1998 | 6 | |
| 19 | 1997 | 1 | |
| 20 | 1996 | 20 |
About T.E. Swingler
T.E. Swingler is a scholar working on Cancer Research, Rheumatology, Molecular Biology, Oncology and Hematology, having authored 34 papers that have together received 2.0k indexed citations. Recurring topics across this work include Osteoarthritis Treatment and Mechanisms (15 papers), MicroRNA in disease regulation (11 papers), Cancer-related molecular mechanisms research (11 papers), Circular RNAs in diseases (6 papers), Cancer-related gene regulation (6 papers), Peptidase Inhibition and Analysis (5 papers), Protease and Inhibitor Mechanisms (5 papers) and Genomics and Chromatin Dynamics (3 papers). The work is most often cited by research in Cancer Research (954 citations), Rheumatology (743 citations), Molecular Biology (1.0k citations), Immunology and Allergy (90 citations) and Oncology (283 citations). T.E. Swingler has collaborated with scholars based in United Kingdom, United States and Finland. Frequent co-authors include Ian M. Clark, Dylan R. Edwards, Clara Luz Sampieri, David A. Young, Linh T. T. Le, Rose K. Davidson, Simon Donell, Tamás Dalmay, Matthew J. Barter and Ray Boot-Handford. Their work appears in journals such as Osteoarthritis and Cartilage, Biochemical Journal, Biochimica et Biophysica Acta (BBA) - Molecular Basis of Disease, RNA and Matrix Biology.
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.