Thomas Winans
Impact in
- Rheumatology top 5%
- Systemic Lupus Erythematosus Research
- Immunology top 10%
- Immune Cell Function and Interaction
- T-cell and B-cell Immunology
- interferon and immune responses
Papers in
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- PI3K/AKT/mTOR signaling in cancer 2
-
- Biomedical Research and Pathophysiology 2
- Co-authors
- András Perl (8 shared papers)Zachary Oaks (5 shared papers)Katalin Bánki (5 shared papers)Zhi‐Wei Lai (4 shared papers)Ryan L. Kelly (2 shared papers)Hajra Tily (2 shared papers)Maha Dawood (2 shared papers)Stephen V. Faraone (2 shared papers)
- Journals
- Nature Communications (1 paper)Nature Metabolism (1 paper)Arthritis & Rheumatology (1 paper)The Lancet (1 paper)Journal of Autoimmunity (1 paper)
- Partner nations
- United StatesMacao
In The Last Decade
Thomas Winans
7 papers receiving 638 citations
Thomas Winans's Hit Papers
Peers
Comparison fields: 5 of 57
- Rheumatology 251
- Immunology 302
- Physiology 21
- Nephrology 27
- Molecular Biology 194
Countries citing papers authored by Thomas Winans
This map shows the geographic impact of Thomas Winans'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 Thomas Winans with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Thomas Winans more than expected).
Fields of papers citing papers by Thomas Winans
This network shows the impact of papers produced by Thomas Winans. 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 Thomas Winans. The network helps show where Thomas Winans may publish in the future.
Co-authors
The 25 scholars most cited alongside Thomas Winans, 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 | Sirolimus in patients with clinically active systemic lupus erythematosus resistant to, or intolerant of, conventional medications: a single-arm, open-label, phase 1/2 trial Hit paper breakdown → | 2018 | 327 |
| 2 | 2016 | 112 | |
| 3 | 2016 | 76 | |
| 4 | Rab4A-directed endosome traffic shapes pro-inflammatory mitochondrial metabolism in T cells via mitophagy, CD98 expression, and kynurenine-sensitive mTOR activation Hit paper breakdown → | 2024 | 58 |
| 5 | 2023 | 31 | |
| 6 | 2023 | 25 | |
| 7 | 2024 | 13 | |
| 8 | 2022 | 0 |
About Thomas Winans
Thomas Winans is a scholar working on Molecular Biology, Pathology and Forensic Medicine, Pediatrics, Perinatology and Child Health, Rheumatology and Radiology, Nuclear Medicine and Imaging, having authored 8 papers that have together received 642 indexed citations. Recurring topics across this work include Neonatal Health and Biochemistry (2 papers), Biomedical Research and Pathophysiology (2 papers), Monoclonal and Polyclonal Antibodies Research (2 papers), PI3K/AKT/mTOR signaling in cancer (2 papers), Systemic Lupus Erythematosus Research (2 papers), Chronic Lymphocytic Leukemia Research (1 paper), Cytokine Signaling Pathways and Interactions (1 paper) and Galectins and Cancer Biology (1 paper). The work is most often cited by research in Rheumatology (251 citations), Immunology (302 citations), Physiology (21 citations), Nephrology (27 citations) and Molecular Biology (194 citations). Thomas Winans has collaborated with scholars based in United States and Macao. Frequent co-authors include András Perl, Zachary Oaks, Katalin Bánki, Zhi‐Wei Lai, Ryan L. Kelly, Hajra Tily, Maha Dawood, Stephen V. Faraone, Ashwini Shadakshari and Lisa Francis. Their work appears in journals such as Nature Communications, Nature Metabolism, Arthritis & Rheumatology, The Lancet and Journal of Autoimmunity.
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.