Thomas Ulas

15.9k total citations · 2 hit papers
64 papers, 2.8k citations indexed

About

Thomas Ulas is a scholar working on Molecular Biology, Immunology and Neurology. According to data from OpenAlex, Thomas Ulas has authored 64 papers receiving a total of 2.8k indexed citations (citations by other indexed papers that have themselves been cited), including 32 papers in Molecular Biology, 32 papers in Immunology and 12 papers in Neurology. Recurrent topics in Thomas Ulas's work include Immune cells in cancer (21 papers), Single-cell and spatial transcriptomics (12 papers) and Neuroinflammation and Neurodegeneration Mechanisms (12 papers). Thomas Ulas is often cited by papers focused on Immune cells in cancer (21 papers), Single-cell and spatial transcriptomics (12 papers) and Neuroinflammation and Neurodegeneration Mechanisms (12 papers). Thomas Ulas collaborates with scholars based in Germany, Netherlands and United States. Thomas Ulas's co-authors include Joachim L. Schultze, Marc Beyer, Jia Xue, Andreas Zimmer, Kathrin Klee, Kristian Händler, Andrea Tedeschi, Önder Albayram, Sebastián Dupraz and Frank Bradke and has published in prestigious journals such as Nucleic Acids Research, Nature Medicine and Nature Communications.

In The Last Decade

Thomas Ulas

61 papers receiving 2.8k citations

Hit Papers

align trajectories

What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

Membrane Cholesterol Efflux Drives Tumor-Associated Macrophage Reprogramming and Tumor Progression

2019 347 citations Pieter Goossens, Juan Rodríguez‐Vita et al. Cell Metabolism profile →
Mitochondrial metabolism coordinates stage-specific repair processes in macrophages during wound healing

2021 183 citations Sebastian Willenborg, David E. Sanin et al. Cell Metabolism profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Thomas Ulas Germany	27	1.1k	1.1k	561	370	358	64	2.8k
Iftach Shaked Israel	17	1.1k 1.0×	860 0.8×	726 1.3×	296 0.8×	508 1.4×	27	2.6k
Hulun Li China	35	953 0.9×	1.1k 1.0×	468 0.8×	389 1.1×	172 0.5×	125	3.4k
Hugo González Chile	17	907 0.8×	866 0.8×	583 1.0×	349 0.9×	298 0.8×	21	2.9k
Margriet J. Vervoordeldonk Netherlands	36	810 0.7×	1.6k 1.5×	760 1.4×	256 0.7×	216 0.6×	66	3.5k
Peggy P. Ho United States	31	1.2k 1.1×	1.3k 1.2×	698 1.2×	155 0.4×	307 0.9×	55	3.7k
Chong Liu China	27	427 0.4×	1.6k 1.5×	345 0.6×	489 1.3×	240 0.7×	97	3.1k
Munehisa Shimamura Japan	31	495 0.4×	957 0.9×	437 0.8×	185 0.5×	241 0.7×	97	2.6k
Gijs Kooij Netherlands	36	795 0.7×	1.2k 1.1×	1.2k 2.1×	285 0.8×	309 0.9×	70	3.5k
Stefano Angiari Italy	20	886 0.8×	1.1k 1.0×	629 1.1×	265 0.7×	219 0.6×	31	2.9k

Countries citing papers authored by Thomas Ulas

Since Specialization

Citations

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

Fields of papers citing papers by Thomas Ulas

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Thomas Ulas

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

All Works

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20 of 20 papers shown

Theobald, Sebastian J., K. Dahm, Sandra Winter, et al.. (2025). Deep immune profiling delineates hallmarks of disease heterogeneity in extrapulmonary tuberculosis. Nature Communications. 16(1). 9662–9662.

Sarlus, Heela, Kavi Bhalla, Sergio Castro‐Gomez, et al.. (2025). Proliferating Microglia Exhibit Unique Transcriptional and Functional Alterations in Alzheimer’s Disease. ASN NEURO. 17(1). 2506406–2506406. 1 indexed citations

Bernis, María Eugenia, et al.. (2025). Transcriptomic profile of microglia following inflammation-sensitized hypoxic-ischemic brain injury in neonatal rats suggests strong contribution to neutrophil chemotaxis and activation. Journal of Neuroinflammation. 22(1). 189–189.

Kooistra, Emma J., K. Dahm, Antonius E. van Herwaarden, et al.. (2023). Molecular mechanisms and treatment responses of pulmonary fibrosis in severe COVID-19. Respiratory Research. 24(1). 196–196. 10 indexed citations

Ulas, Thomas, Marc Beyer, Thoralf Opitz, et al.. (2022). Circuit-selective cell-autonomous regulation of inhibition in pyramidal neurons by Ste20-like kinase. Cell Reports. 41(10). 111757–111757. 2 indexed citations

Wischhof, Lena, Michael Peitz, Oliver Brüstle, et al.. (2022). BCL7A ‐containing SWI/SNF/BAF complexes modulate mitochondrial bioenergetics during neural progenitor differentiation. The EMBO Journal. 41(23). e110595–e110595. 15 indexed citations

Bonaguro, Lorenzo, Jonas Schulte-Schrepping, Benedikt Reiz, et al.. (2022). Human variation in population-wide gene expression data predicts gene perturbation phenotype. iScience. 25(11). 105328–105328. 2 indexed citations

Reusch, Nico, Joanna Agnieszka Komorowska‐Müller, Jan N. Hansen, et al.. (2021). Cannabinoid receptor 2 is necessary to induce toll‐like receptor‐mediated microglial activation. Glia. 70(1). 71–88. 32 indexed citations

Koblitz, Julia, et al.. (2021). The Metano Modeling Toolbox MMTB: An Intuitive, Web-Based Toolbox Introduced by Two Use Cases. Metabolites. 11(2). 113–113. 1 indexed citations

10.

Temba, Godfrey S., Vesla Kullaya, Tal Pecht, et al.. (2021). Urban living in healthy Tanzanians is associated with an inflammatory status driven by dietary and metabolic changes. Nature Immunology. 22(3). 287–300. 44 indexed citations

11.

Willenborg, Sebastian, David E. Sanin, Alexander Jaïs, et al.. (2021). Mitochondrial metabolism coordinates stage-specific repair processes in macrophages during wound healing. Cell Metabolism. 33(12). 2398–2414.e9. 183 indexed citations breakdown →

12.

Kaczmarczyk, Mariusz, Ulrike Löber, Karolina Skonieczna‐Żydecka, et al.. (2021). The gut microbiota is associated with the small intestinal paracellular permeability and the development of the immune system in healthy children during the first two years of life. Journal of Translational Medicine. 19(1). 177–177. 49 indexed citations

13.

Fernández, Lucia Torres, Sibylle Mitschka, Thomas Ulas, et al.. (2021). The stem cell–specific protein TRIM71 inhibits maturation and activity of the prodifferentiation miRNA let-7 via two independent molecular mechanisms. RNA. 27(7). 805–828. 16 indexed citations

14.

Salvagno, Camilla, Metamia Ciampricotti, Cheei‐Sing Hau, et al.. (2019). Therapeutic targeting of macrophages enhances chemotherapy efficacy by unleashing type I interferon response. Nature Cell Biology. 21(4). 511–521. 122 indexed citations

15.

Goossens, Pieter, Juan Rodríguez‐Vita, Anders Etzerodt, et al.. (2019). Membrane Cholesterol Efflux Drives Tumor-Associated Macrophage Reprogramming and Tumor Progression. Cell Metabolism. 29(6). 1376–1389.e4. 347 indexed citations breakdown →

16.

Knoll, Rainer, et al.. (2019). Shiny-Seq: advanced guided transcriptome analysis. BMC Research Notes. 12(1). 432–432. 20 indexed citations

17.

Rabold, Katrin, Thomas Ulas, Dennis M. de Graaf, et al.. (2019). Interplay between thyroid cancer cells and macrophages: effects on IL-32 mediated cell death and thyroid cancer cell migration. Cellular Oncology. 42(5). 691–703. 9 indexed citations

18.

Aschenbrenner, Anna C., Kevin Baßler, Lorenzo Bonaguro, et al.. (2017). A cross-species approach to identify transcriptional regulators exemplified for Dnajc22 and Hnf4a. Scientific Reports. 7(1). 4056–4056. 1 indexed citations

19.

Bilkei‐Gorzó, András, Önder Albayram, Astrid M. Draffehn, et al.. (2017). A chronic low dose of Δ9-tetrahydrocannabinol (THC) restores cognitive function in old mice. Nature Medicine. 23(6). 782–787. 188 indexed citations

20.

Krebs, Wolfgang, Susanne V. Schmidt, Alon Goren, et al.. (2014). Optimization of transcription factor binding map accuracy utilizing knockout-mouse models. Nucleic Acids Research. 42(21). 13051–13060. 18 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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