Thomas Riffelmacher

1.5k total citations
18 papers, 1.1k citations indexed

About

Thomas Riffelmacher is a scholar working on Immunology, Epidemiology and Molecular Biology. According to data from OpenAlex, Thomas Riffelmacher has authored 18 papers receiving a total of 1.1k indexed citations (citations by other indexed papers that have themselves been cited), including 13 papers in Immunology, 10 papers in Epidemiology and 5 papers in Molecular Biology. Recurrent topics in Thomas Riffelmacher's work include Autophagy in Disease and Therapy (8 papers), Immune Cell Function and Interaction (8 papers) and Immune cells in cancer (4 papers). Thomas Riffelmacher is often cited by papers focused on Autophagy in Disease and Therapy (8 papers), Immune Cell Function and Interaction (8 papers) and Immune cells in cancer (4 papers). Thomas Riffelmacher collaborates with scholars based in United Kingdom, United States and Germany. Thomas Riffelmacher's co-authors include Anna Katharina Simon, Felix Clemens Richter, Alexander J. Clarke, Philip Hublitz, Zhanru Yu, Sten Eirik W. Jacobsen, Daniel Braas, Amanda J. Stranks, Richard J. Cornall and Ghada Alsaleh and has published in prestigious journals such as Nature Communications, The Journal of Experimental Medicine and Blood.

In The Last Decade

Thomas Riffelmacher

16 papers receiving 1.0k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Thomas Riffelmacher United Kingdom 11 486 450 440 128 94 18 1.1k
Alexander Watson United Kingdom 8 355 0.7× 281 0.6× 494 1.1× 67 0.5× 67 0.7× 17 870
Shabnam Shaid Germany 9 517 1.1× 91 0.2× 481 1.1× 83 0.6× 78 0.8× 16 853
Felix Clemens Richter United Kingdom 10 377 0.8× 394 0.9× 215 0.5× 96 0.8× 36 0.4× 24 979
Padmaja Gade United States 15 414 0.9× 232 0.5× 213 0.5× 119 0.9× 29 0.3× 21 841
Florinda Battaglia Italy 18 249 0.5× 588 1.3× 143 0.3× 164 1.3× 63 0.7× 24 1.1k
Leonel Joannas United States 14 489 1.0× 699 1.6× 150 0.3× 114 0.9× 28 0.3× 19 1.2k
Abhisek Bhattacharya United States 14 304 0.6× 319 0.7× 348 0.8× 35 0.3× 34 0.4× 19 789
Ji-An Pan United States 8 725 1.5× 174 0.4× 449 1.0× 142 1.1× 15 0.2× 9 1.2k
Alison J. Darmon Canada 11 792 1.6× 420 0.9× 173 0.4× 94 0.7× 61 0.6× 15 1.2k
Tara A. Sheldrake United Kingdom 13 376 0.8× 468 1.0× 125 0.3× 59 0.5× 41 0.4× 18 1.0k

Countries citing papers authored by Thomas Riffelmacher

Since Specialization
Citations

This map shows the geographic impact of Thomas Riffelmacher'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 Riffelmacher with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Thomas Riffelmacher more than expected).

Fields of papers citing papers by Thomas Riffelmacher

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Thomas Riffelmacher. 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 Riffelmacher. The network helps show where Thomas Riffelmacher may publish in the future.

Co-authorship network of co-authors of Thomas Riffelmacher

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

All Works

18 of 18 papers shown
1.
Li, Yingcong, Martina Dicker, Thomas Riffelmacher, et al.. (2025). Crohn’s Disease-associated variant in laccase domain containing 1 (LACC1) modulates T cell gene expression, metabolism and T cell function. Nature Communications. 16(1). 2577–2577.
2.
Riffelmacher, Thomas & Mitchell Kronenberg. (2025). Metabolic control of innate-like T cells. Nature reviews. Immunology. 26(1). 67–82. 2 indexed citations
3.
Kronenberg, Mitchell & Thomas Riffelmacher. (2025). Defenders or defectors: mucosal-associated invariant T cells in autoimmune diseases. Current Opinion in Immunology. 93. 102542–102542. 1 indexed citations
4.
Riffelmacher, Thomas, M. Murray, Shilpi Chandra, et al.. (2023). Divergent metabolic programmes control two populations of MAIT cells that protect the lung. Nature Cell Biology. 25(6). 877–891. 16 indexed citations
5.
Borsa, Mariana, Sandrine Obba, Felix Clemens Richter, et al.. (2023). Autophagy preserves hematopoietic stem cells by restraining MTORC1-mediated cellular anabolism. Autophagy. 20(1). 45–57. 18 indexed citations
6.
Riffelmacher, Thomas, et al.. (2022). Metabolic fuel choices control MAIT cell functions at homeostasis and after infection. The Journal of Immunology. 208(Supplement_1). 55.10–55.10.
7.
Riffelmacher, Thomas, Daniel A. Giles, Sonja Zahner, et al.. (2021). Metabolic activation and colitis pathogenesis is prevented by lymphotoxin β receptor expression in neutrophils. Mucosal Immunology. 14(3). 679–690. 14 indexed citations
8.
Winkels, Holger, Yanal Ghosheh, Kouji Kobiyama, et al.. (2021). Thymus-Derived CD4+CD8+ Cells Reside in Mediastinal Adipose Tissue and the Aortic Arch. The Journal of Immunology. 207(11). 2720–2732. 1 indexed citations
9.
Riffelmacher, Thomas & Mitchell Kronenberg. (2020). Metabolic Triggers of Invariant Natural Killer T-Cell Activation during Sterile Autoinflammatory Disease. Critical Reviews in Immunology. 40(5). 367–378. 4 indexed citations
10.
Zhang, Hanlin, Ghada Alsaleh, Jack Feltham, et al.. (2019). Polyamines Control eIF5A Hypusination, TFEB Translation, and Autophagy to Reverse B Cell Senescence. Molecular Cell. 76(1). 110–125.e9. 222 indexed citations
11.
Simon, Anna Katharina, Sandrine Obba, Hanlin Zhang, & Thomas Riffelmacher. (2019). Autophagy in the Hematopoietic System. Blood. 134(Supplement_1). SCI–44. 2 indexed citations
12.
Clarke, Alexander J., Thomas Riffelmacher, Daniel Braas, Richard J. Cornall, & Anna Katharina Simon. (2018). B1a B cells require autophagy for metabolic homeostasis and self-renewal. The Journal of Experimental Medicine. 215(2). 399–413. 108 indexed citations
13.
Giles, Daniel A., Sonja Zahner, Petra Krause, et al.. (2018). The Tumor Necrosis Factor Superfamily Members TNFSF14 (LIGHT), Lymphotoxin β and Lymphotoxin β Receptor Interact to Regulate Intestinal Inflammation. Frontiers in Immunology. 9. 2585–2585. 33 indexed citations
14.
Riffelmacher, Thomas, Alexander J. Clarke, Felix Clemens Richter, et al.. (2017). Autophagy-Dependent Generation of Free Fatty Acids Is Critical for Normal Neutrophil Differentiation. Immunity. 47(3). 466–480.e5. 221 indexed citations
15.
Riffelmacher, Thomas, Felix Clemens Richter, & Anna Katharina Simon. (2017). Autophagy dictates metabolism and differentiation of inflammatory immune cells. Autophagy. 14(2). 199–206. 82 indexed citations
16.
Riffelmacher, Thomas & Anna Katharina Simon. (2016). Mechanistic roles of autophagy in hematopoietic differentiation. FEBS Journal. 284(7). 1008–1020. 52 indexed citations
17.
Kabat, Agnieszka M., Oliver J. Harrison, Thomas Riffelmacher, et al.. (2016). The autophagy gene Atg16l1 differentially regulates Treg and TH2 cells to control intestinal inflammation. eLife. 5. e12444–e12444. 155 indexed citations
18.
Watson, Alastair, Thomas Riffelmacher, Amanda J. Stranks, et al.. (2015). Autophagy limits proliferation and glycolytic metabolism in acute myeloid leukemia. Cell Death Discovery. 1(1). 124 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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