Thomas Höfer

18.8k total citations · 1 hit paper
184 papers, 10.3k citations indexed

About

Thomas Höfer is a scholar working on Molecular Biology, Immunology and Oncology. According to data from OpenAlex, Thomas Höfer has authored 184 papers receiving a total of 10.3k indexed citations (citations by other indexed papers that have themselves been cited), including 86 papers in Molecular Biology, 60 papers in Immunology and 18 papers in Oncology. Recurrent topics in Thomas Höfer's work include T-cell and B-cell Immunology (41 papers), Immune Cell Function and Interaction (33 papers) and Single-cell and spatial transcriptomics (16 papers). Thomas Höfer is often cited by papers focused on T-cell and B-cell Immunology (41 papers), Immune Cell Function and Interaction (33 papers) and Single-cell and spatial transcriptomics (16 papers). Thomas Höfer collaborates with scholars based in Germany, United States and Switzerland. Thomas Höfer's co-authors include Carlos Salazar, Michael Floßdorf, Hans-Reimer Rodewald, Andreas Radbruch, Stefan Schuster, Katrin Busch, Antonio Z. Politi, Marko Marhl, Kay Klapproth and Roland H. Wenger and has published in prestigious journals such as Nature, Science and Proceedings of the National Academy of Sciences.

In The Last Decade

Thomas Höfer

178 papers receiving 10.1k citations

Hit Papers

Fundamental properties of unperturbed haematopoiesis from... 2015 2026 2018 2022 2015 100 200 300 400 500

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Thomas Höfer Germany 60 4.8k 3.2k 1.5k 912 763 184 10.3k
Nir Yosef United States 46 7.8k 1.6× 4.5k 1.4× 1.6k 1.1× 1.6k 1.8× 218 0.3× 116 13.4k
Peter J. van der Spek Netherlands 55 7.0k 1.4× 1.0k 0.3× 1.3k 0.9× 1.8k 1.9× 1.4k 1.8× 252 12.6k
Mauno Vihinen Finland 52 6.3k 1.3× 2.6k 0.8× 884 0.6× 630 0.7× 706 0.9× 273 10.6k
Guo‐Cheng Yuan United States 58 11.9k 2.5× 2.2k 0.7× 2.1k 1.4× 2.0k 2.2× 685 0.9× 145 15.2k
Charles Auffray France 48 4.5k 0.9× 2.8k 0.9× 817 0.5× 436 0.5× 228 0.3× 182 9.4k
Frank L. Heppner Germany 68 5.5k 1.1× 4.6k 1.4× 1.4k 0.9× 1.1k 1.2× 216 0.3× 258 17.9k
Qing Nie United States 51 7.8k 1.6× 2.4k 0.7× 2.0k 1.3× 1.5k 1.7× 151 0.2× 288 14.5k
Evan W. Newell United States 52 4.5k 0.9× 5.5k 1.7× 2.2k 1.5× 708 0.8× 227 0.3× 149 11.2k
Satoru Miyano Japan 58 10.5k 2.2× 1.1k 0.3× 1.3k 0.9× 2.7k 3.0× 814 1.1× 523 15.5k
David A. Guertin United States 39 14.8k 3.0× 2.2k 0.7× 2.1k 1.4× 2.2k 2.4× 505 0.7× 63 21.2k

Countries citing papers authored by Thomas Höfer

Since Specialization
Citations

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

Fields of papers citing papers by Thomas Höfer

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Thomas Höfer

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

All Works

20 of 20 papers shown
1.
Uckeley, Zina M., Patricio Doldan, Benno Kuropka, et al.. (2024). The population context is a driver of the heterogeneous response of epithelial cells to interferons. Molecular Systems Biology. 20(3). 242–275. 1 indexed citations
2.
Hegazy, Ahmed N., Caroline Peine, Isabel Panse, et al.. (2024). Plasticity and lineage commitment of individual TH1 cells are determined by stable T-bet expression quantities. Science Advances. 10(23). eadk2693–eadk2693. 6 indexed citations
3.
Ruggieri, Alessia, Volker Lohmann, Thomas Höfer, et al.. (2023). Extended methods for spatial cell classification with DBSCAN-CellX. Scientific Reports. 13(1). 18868–18868. 3 indexed citations
4.
Günther, Matthias, Günter Stier, Cristina‐Maria Cruciat, et al.. (2023). DEAD box RNA helicases act as nucleotide exchange factors for casein kinase 2. Science Signaling. 16(782). eabp8923–eabp8923. 5 indexed citations
5.
Busch, Katrin, et al.. (2023). Differentiation tracing identifies hematopoietic regeneration from multipotent progenitors but not stem cells. PubMed. 175. 203861–203861. 2 indexed citations
6.
Sacirbegovic, Faruk, Matthias Günther, Alessandro Greco, et al.. (2023). Graft-versus-host disease is locally maintained in target tissues by resident progenitor-like T cells. Immunity. 56(2). 369–385.e6. 22 indexed citations
7.
Becker, Nils B., et al.. (2023). Quantitating CD8+ T cell memory development. Trends in Immunology. 44(7). 519–529. 2 indexed citations
8.
Klaus, Severina, Marta Machado, Charlotta Funaya, et al.. (2022). Asynchronous nuclear cycles in multinucleated Plasmodium falciparum facilitate rapid proliferation. Science Advances. 8(13). eabj5362–eabj5362. 34 indexed citations
9.
Bolkestein, Michiel, John Wong, Verena Thewes, et al.. (2020). Chromothripsis in Human Breast Cancer. Cancer Research. 80(22). 4918–4931. 17 indexed citations
10.
Grassmann, Simon, Kilian Schober, Justin Leube, et al.. (2020). Early emergence of T central memory precursors programs clonal dominance during chronic viral infection. Nature Immunology. 21(12). 1563–1573. 37 indexed citations
11.
Mende, Nicole, Gülce Itır Perçin, Maria Rostovskaya, et al.. (2019). Prospective isolation of nonhematopoietic cells of the niche and their differential molecular interactions with HSCs. Blood. 134(15). 1214–1226. 20 indexed citations
12.
Henrich, Kai-Oliver, Sebastian Bender, Maral Saadati, et al.. (2016). Integrative Genome-Scale Analysis Identifies Epigenetic Mechanisms of Transcriptional Deregulation in Unfavorable Neuroblastomas. Cancer Research. 76(18). 5523–5537. 73 indexed citations
13.
Mende, Nicole, Erika E Kuchen, Mathias Lesche, et al.. (2015). CCND1–CDK4–mediated cell cycle progression provides a competitive advantage for human hematopoietic stem cells in vivo. The Journal of Experimental Medicine. 212(8). 1171–1183. 49 indexed citations
14.
Höfer, Thomas, et al.. (2009). SCIENTIFIC COMPUTING FOR ALUMINUM PRODUCTION. Infoscience (Ecole Polytechnique Fédérale de Lausanne). 6. 489–504. 3 indexed citations
15.
Schulz, Edda G., Luca Mariani, Andreas Radbruch, & Thomas Höfer. (2009). Sequential Polarization and Imprinting of Type 1 T Helper Lymphocytes by Interferon-γ and Interleukin-12. Immunity. 30(5). 673–683. 227 indexed citations
16.
Höfer, Thomas, et al.. (2006). Control of Signal Transduction Cycles. Proceedings Genome Informatics Workshop/Genome informatics. 17(1). 152–162. 1 indexed citations
17.
Salazar, Carlos & Thomas Höfer. (2004). Activation of the transcription factor NFAT1: concerted or modular regulation?. FEBS Letters. 579(3). 621–626. 10 indexed citations
18.
Giaume, Christian, Laurent Venance, & Thomas Höfer. (2003). Les vagues calciques entre cellules gliales: une voie alternative de transmission d’informations. médecine/sciences. 19(3). 278–281. 2 indexed citations
19.
Sherratt, Jonathan A., Thomas Höfer, & Philip K. Maini. (1995). Dictyostelium discoideum: cellular self-organisation in an excitable biological medium. 249–257. 8 indexed citations
20.
Höfer, Thomas, et al.. (1995). Dictyostelium discoideum: Cellular self-organisation in an excitable medium. Oxford University Research Archive (ORA) (University of Oxford). 1 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.

Explore authors with similar magnitude of impact

Rankless by CCL
2026