Thomas Winans

768 total citations · 2 hit papers
8 papers, 617 citations indexed

About

Thomas Winans is a scholar working on Molecular Biology, Rheumatology and Pathology and Forensic Medicine. According to data from OpenAlex, Thomas Winans has authored 8 papers receiving a total of 617 indexed citations (citations by other indexed papers that have themselves been cited), including 4 papers in Molecular Biology, 3 papers in Rheumatology and 2 papers in Pathology and Forensic Medicine. Recurrent topics in Thomas Winans's work include Systemic Lupus Erythematosus Research (3 papers), Neonatal Health and Biochemistry (2 papers) and Biomedical Research and Pathophysiology (2 papers). Thomas Winans is often cited by papers focused on Systemic Lupus Erythematosus Research (3 papers), Neonatal Health and Biochemistry (2 papers) and Biomedical Research and Pathophysiology (2 papers). Thomas Winans collaborates with scholars based in United States and Macao. Thomas Winans's 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 and has published in prestigious journals such as The Lancet, Nature Communications and SHILAP Revista de lepidopterología.

In The Last Decade

Thomas Winans

7 papers receiving 614 citations

Hit Papers

Sirolimus in patients with clinically active systemic lup... 2018 2026 2020 2023 2018 2024 100 200 300

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Thomas Winans United States 7 342 268 213 80 79 8 617
Yujun Sheng China 15 437 1.3× 252 0.9× 165 0.8× 59 0.7× 85 1.1× 56 724
Ashwini Shadakshari United States 3 278 0.8× 213 0.8× 130 0.6× 48 0.6× 41 0.5× 5 452
Cathy Lee Ching United States 2 249 0.7× 318 1.2× 141 0.7× 37 0.5× 44 0.6× 5 525
Gongping Liang China 15 608 1.8× 230 0.9× 456 2.1× 60 0.8× 139 1.8× 18 1.1k
Daniel Toro‐Domínguez Spain 12 198 0.6× 207 0.8× 188 0.9× 31 0.4× 52 0.7× 18 528
Trageen Baumgart United States 7 359 1.0× 86 0.3× 108 0.5× 70 0.9× 66 0.8× 9 641
Phil Ruiz United States 10 536 1.6× 294 1.1× 262 1.2× 26 0.3× 66 0.8× 13 853
Sean J. Bradley United States 9 418 1.2× 298 1.1× 78 0.4× 41 0.5× 42 0.5× 9 589
Lisbeth Ärlestig Sweden 18 243 0.7× 424 1.6× 158 0.7× 31 0.4× 83 1.1× 31 721
Fumihiro Kimura Japan 12 92 0.3× 117 0.4× 271 1.3× 48 0.6× 45 0.6× 39 628

Countries citing papers authored by Thomas Winans

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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 of co-authors of Thomas Winans

This figure shows the co-authorship network connecting the top 25 collaborators of Thomas Winans. A scholar is included among the top collaborators of Thomas Winans 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 Thomas Winans. Thomas Winans is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

8 of 8 papers shown
1.
Huang, Nick, Thomas Winans, Zachary Oaks, et al.. (2024). Rab4A-directed endosome traffic shapes pro-inflammatory mitochondrial metabolism in T cells via mitophagy, CD98 expression, and kynurenine-sensitive mTOR activation. Nature Communications. 15(1). 2598–2598. 52 indexed citations breakdown →
2.
Winans, Thomas, et al.. (2024). Redox Pathogenesis in Rheumatic Diseases. ACR Open Rheumatology. 6(6). 334–346. 13 indexed citations
3.
Winans, Thomas, Zachary Oaks, Nick Huang, et al.. (2023). mTOR-dependent loss of PON1 secretion and antiphospholipid autoantibody production underlie autoimmunity-mediated cirrhosis in transaldolase deficiency. Journal of Autoimmunity. 140. 103112–103112. 24 indexed citations
4.
Oaks, Zachary, Nick Huang, Thomas Winans, et al.. (2023). Cytosolic aldose metabolism contributes to progression from cirrhosis to hepatocarcinogenesis. Nature Metabolism. 5(1). 41–60. 30 indexed citations
6.
Lai, Zhi‐Wei, Ryan L. Kelly, Thomas Winans, et al.. (2018). 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. The Lancet. 391(10126). 1186–1196. 320 indexed citations breakdown →
7.
Oaks, Zachary, Thomas Winans, Nick Huang, Katalin Bánki, & András Perl. (2016). Activation of the Mechanistic Target of Rapamycin in SLE: Explosion of Evidence in the Last Five Years. Current Rheumatology Reports. 18(12). 73–73. 74 indexed citations
8.
Oaks, Zachary, Thomas Winans, Tiffany Caza, et al.. (2016). Mitochondrial Dysfunction in the Liver and Antiphospholipid Antibody Production Precede Disease Onset and Respond to Rapamycin in Lupus‐Prone Mice. Arthritis & Rheumatology. 68(11). 2728–2739. 104 indexed citations

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.

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