Thomas Würdinger

17.6k total citations · 5 hit papers
129 papers, 12.1k citations indexed

About

Thomas Würdinger is a scholar working on Molecular Biology, Cancer Research and Oncology. According to data from OpenAlex, Thomas Würdinger has authored 129 papers receiving a total of 12.1k indexed citations (citations by other indexed papers that have themselves been cited), including 84 papers in Molecular Biology, 55 papers in Cancer Research and 26 papers in Oncology. Recurrent topics in Thomas Würdinger's work include Cancer-related molecular mechanisms research (33 papers), Extracellular vesicles in disease (31 papers) and MicroRNA in disease regulation (29 papers). Thomas Würdinger is often cited by papers focused on Cancer-related molecular mechanisms research (33 papers), Extracellular vesicles in disease (31 papers) and MicroRNA in disease regulation (29 papers). Thomas Würdinger collaborates with scholars based in Netherlands, United States and Sweden. Thomas Würdinger's co-authors include D. Michiel Pegtel, Ralph Weissleder, Monique A.J. van Eijndhoven, Anna M. Krichevsky, Mikäel J. Pittet, Filip K. Świrski, Matthias Nahrendorf, Elena Aïkawa, Peter Libby and Lars Stangenberg and has published in prestigious journals such as Cell, Proceedings of the National Academy of Sciences and Journal of Biological Chemistry.

In The Last Decade

Thomas Würdinger

126 papers receiving 11.9k citations

Hit Papers

5 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.

The healing myocardium sequentially mobilizes two monocyte subsets with divergent and complementary functions

2007 1.8k citations Matthias Nahrendorf, Filip K. Świrski et al. The Journal of Experimental Medicine profile →
Functional delivery of viral miRNAs via exosomes

2010 1.3k citations D. Michiel Pegtel, Katherine Cosmopoulos et al. Proceedings of the National Academy of Sciences profile →
MicroRNA 21 Promotes Glioma Invasion by Targeting Matrix Metalloproteinase Regulators

2008 713 citations Galina Gabriely, Thomas Würdinger et al. profile →
In Vivo Imaging Reveals Extracellular Vesicle-Mediated Phenocopying of Metastatic Behavior

2015 689 citations Thomas Würdinger, D. Michiel Pegtel et al. profile →
Nontemplated Nucleotide Additions Distinguish the Small RNA Composition in Cells from Exosomes

2014 457 citations Danijela Koppers‐Lalic, Michael Hackenberg et al. Cell Reports profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Thomas Würdinger Netherlands	50	8.3k	5.4k	2.1k	1.8k	1.1k	129	12.1k
Janusz Rak Canada	67	12.7k 1.5×	7.2k 1.3×	5.1k 2.4×	1.8k 1.0×	1.2k 1.1×	202	18.1k
Edit I. Buzás Hungary	45	12.6k 1.5×	6.2k 1.1×	853 0.4×	3.2k 1.8×	576 0.5×	197	15.7k
David D. Schlaepfer United States	72	12.3k 1.5×	3.5k 0.6×	3.9k 1.9×	2.5k 1.4×	547 0.5×	136	22.5k
Aled Clayton United Kingdom	38	11.7k 1.4×	6.3k 1.2×	1.1k 0.5×	2.8k 1.6×	498 0.5×	83	13.9k
Laura E. Benjamin United States	38	6.9k 0.8×	2.8k 0.5×	2.6k 1.3×	955 0.5×	641 0.6×	70	10.8k
Jen‐Tsan Chi United States	53	7.1k 0.9×	4.6k 0.9×	1.8k 0.9×	1.2k 0.7×	614 0.6×	146	11.7k
Benedetta Bussolati Italy	53	7.7k 0.9×	3.2k 0.6×	1.6k 0.7×	1.3k 0.7×	1.8k 1.7×	202	11.7k
Masahiko Kuroda Japan	47	7.1k 0.9×	3.6k 0.7×	2.3k 1.1×	2.2k 1.3×	637 0.6×	228	12.2k
Kristian Pietras Sweden	46	6.4k 0.8×	2.6k 0.5×	4.3k 2.1×	1.4k 0.8×	615 0.6×	99	12.2k
Kevin P. Claffey United States	52	7.6k 0.9×	2.5k 0.5×	3.0k 1.4×	1.4k 0.8×	442 0.4×	98	11.7k

Countries citing papers authored by Thomas Würdinger

Since Specialization

Citations

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

Fields of papers citing papers by Thomas Würdinger

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Thomas Würdinger

This figure shows the co-authorship network connecting the top 25 collaborators of Thomas Würdinger. A scholar is included among the top collaborators of Thomas Würdinger 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 Würdinger. Thomas Würdinger 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

D’Ambrosi, Silvia, Monica Chiogna, Galina Yahubyan, et al.. (2025). Combinatorial Analysis of miRNAs and tRNA Fragments as Potential Biomarkers for Cancer Patients in Liquid Biopsies. Non-Coding RNA. 11(1). 17–17.

D’Ambrosi, Silvia, Stavros Giannoukakos, Jillian Wilhelmina Paulina Bracht, et al.. (2023). Combinatorial Blood Platelets-Derived circRNA and mRNA Signature for Early-Stage Lung Cancer Detection. International Journal of Molecular Sciences. 24(5). 4881–4881. 13 indexed citations

Eslami‐S, Zahra, Luis Enrique Cortés‐Hernández, Silvia D’Ambrosi, et al.. (2023). In vitro cross-talk between metastasis-competent circulating tumor cells and platelets in colon cancer: a malicious association during the harsh journey in the blood. Frontiers in Cell and Developmental Biology. 11. 1209846–1209846. 18 indexed citations

Post, Edward P., Jip Ramaker, Tonny Lagerweij, et al.. (2023). Discrimination Between Pre‐ and Postcapillary Pulmonary Hypertension Using Platelet RNA. Journal of the American Heart Association. 12(13). e028447–e028447.

Giczewska, Anna, Laurine E. Wedekind, David P. Noske, et al.. (2023). Longitudinal drug synergy assessment using convolutional neural network image-decoding of glioblastoma single-spheroid cultures. Neuro-Oncology Advances. 5(1). vdad134–vdad134. 1 indexed citations

Giczewska, Anna, Aslι Küçükosmanoğlu, Rogier C. Buijsman, et al.. (2023). Screening of predicted synergistic multi-target therapies in glioblastoma identifies new treatment strategies. Neuro-Oncology Advances. 5(1). vdad073–vdad073. 8 indexed citations

Thys, Chantal, Kathleen Freson, Myron G. Best, et al.. (2021). The brain-derived neurotrophic factor prompts platelet aggregation and secretion. Blood Advances. 5(18). 3568–3580. 17 indexed citations

Koppers‐Lalic, Danijela, et al.. (2020). Circulating platelets as liquid biopsy sources for cancer detection. Molecular Oncology. 15(6). 1727–1743. 42 indexed citations

Nilsson, R. Jonas A., Leonora Balaj, Esther Hulleman, et al.. (2019). Supplemental data for Blood platelets contain tumor-derived RNA biomarkers. Pure Amsterdam UMC.

10.

Lin, Fan, Mark C. de Gooijer, Levi C.M. Buil, et al.. (2014). ABCB1, ABCG2, and PTEN Determine the Response of Glioblastoma to Temozolomide and ABT-888 Therapy. Clinical Cancer Research. 20(10). 2703–2713. 105 indexed citations

11.

Balaj, Leonora, Fatemeh Momen‐Heravi, Weilin Chen, et al.. (2014). Detection of Human c-Myc and EGFR Amplifications in Circulating Extracellular Vesicles in Mouse Tumour Models. Pure Amsterdam UMC. 3. 6–6. 1 indexed citations

12.

Balaj, Leonora, Fatemeh Momen‐Heravi, Weilin Chen, et al.. (2014). Detection of Human c-Myc and EGFR Amplifications in Circulating Extracellular Vesicles in Mouse Tumour Models. 3(1). 1 indexed citations

13.

Balkom, Bas W. M. van, Olivier G. de Jong, Michiel Smits, et al.. (2013). Endothelial cells require miR-214 to secrete exosomes that suppress senescence and induce angiogenesis in human and mouse endothelial cells. Blood. 121(19). 3997–4006. 436 indexed citations

14.

Smits, Michiel, Sjoerd van Rijn, Esther Hulleman, et al.. (2012). EZH2-Regulated DAB2IP Is a Medulloblastoma Tumor Suppressor and a Positive Marker for Survival. Clinical Cancer Research. 18(15). 4048–4058. 58 indexed citations

15.

Azijli, Kaamar, Saravanan Yuvaraj, Maikel P. Peppelenbosch, et al.. (2012). Kinome profiling of non-canonical TRAIL signaling reveals RIP1-Src-STAT3 dependent invasion in resistant non-small cell lung cancer cells. Journal of Cell Science. 125(Pt 19). 4651–61. 59 indexed citations

16.

Etzrodt, Martin, Virna Cortez‐Retamozo, Andita Newton, et al.. (2012). Regulation of Monocyte Functional Heterogeneity by miR-146a and Relb. Cell Reports. 1(4). 317–324. 98 indexed citations

17.

Gabriely, Galina, Ming Yi, Ravi S. Narayan, et al.. (2011). Human Glioma Growth Is Controlled by MicroRNA-10b. Cancer Research. 71(10). 3563–3572. 245 indexed citations

18.

Saydam, Okay, Ozlem Senol, Thomas Würdinger, et al.. (2010). miRNA-7 Attenuation in Schwannoma Tumors Stimulates Growth by Upregulating Three Oncogenic Signaling Pathways. Cancer Research. 71(3). 852–861. 129 indexed citations

19.

Pegtel, D. Michiel, Katherine Cosmopoulos, David A. Thorley‐Lawson, et al.. (2010). Functional delivery of viral miRNAs via exosomes. Proceedings of the National Academy of Sciences. 107(14). 6328–6333. 1330 indexed citations breakdown →

20.

Nahrendorf, Matthias, Filip K. Świrski, Elena Aïkawa, et al.. (2007). The healing myocardium sequentially mobilizes two monocyte subsets with divergent and complementary functions. The Journal of Experimental Medicine. 204(12). 3037–3047. 1769 indexed citations breakdown →

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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