Thomas Winans
- Rheumatology top 5%
- Systemic Lupus Erythematosus Research 3
- Immunology top 10%
- Nephrology top 10%
- Physiology top 10%
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- Neonatal Health and Biochemistry 2
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- Biomedical Research and Pathophysiology 2
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- Monoclonal and Polyclonal Antibodies Research 2
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- PI3K/AKT/mTOR signaling in cancer 2
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- Cytokine Signaling Pathways and Interactions 1
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- Chronic Lymphocytic Leukemia Research 1
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- Platelet Disorders and Treatments 1
- Co-authors
- András PerlZachary OaksKatalin BánkiZhi‐Wei LaiRyan L. KellyHajra TilyLisa FrancisAshwini Shadakshari
- Cited by
- RheumatologyImmunologyNephrology
- Partner nations
- United StatesMacao
In The Last Decade
Thomas Winans
7 papers receiving 614 citations
Hit Papers
Peers
Comparison fields: 5 of 59
- Rheumatology 268
- Immunology 342
- Nephrology 42
- Physiology 26
- Hepatology 25
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-authorship network
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 | Rab4A-directed endosome traffic shapes pro-inflammatory mitochondrial metabolism in T cells via mitophagy, CD98 expression, and kynurenine-sensitive mTOR activationbreakdown → | 2024 | 52 |
| 2 | 2024 | 13 | |
| 3 | 2023 | 24 | |
| 4 | 2023 | 30 | |
| 5 | 2022 | 0 | |
| 6 | Sirolimus in patients with clinically active systemic lupus erythematosus resistant to, or intolerant of, conventional medications: a single-arm, open-label, phase 1/2 trialbreakdown → | 2018 | 320 |
| 7 | 2016 | 74 | |
| 8 | 2016 | 104 |
About Thomas Winans
Thomas Winans is a scholar working on Rheumatology, Clinical Biochemistry, Nephrology, Cell Biology and Pathology and Forensic Medicine, having authored 8 papers that have together received 617 indexed citations. Recurring topics across this work include Systemic Lupus Erythematosus Research (3 papers), 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), Cytokine Signaling Pathways and Interactions (1 paper), Chronic Lymphocytic Leukemia Research (1 paper) and Platelet Disorders and Treatments (1 paper). The work is most often cited by research in Rheumatology (268 citations), Immunology (342 citations), Nephrology (42 citations), Physiology (26 citations) and Hepatology (25 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, Lisa Francis, Ashwini Shadakshari, Julie Yu and Ricardo Garcı́a. Their work appears in journals such as Journal of Autoimmunity, Nature Communications, The Lancet, Current Rheumatology Reports and Arthritis & Rheumatology.
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.