Thomas Dange

644 total citations
9 papers, 494 citations indexed

About

Thomas Dange is a scholar working on Molecular Biology, Cell Biology and Biophysics. According to data from OpenAlex, Thomas Dange has authored 9 papers receiving a total of 494 indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Molecular Biology, 3 papers in Cell Biology and 2 papers in Biophysics. Recurrent topics in Thomas Dange's work include Ubiquitin and proteasome pathways (4 papers), Endoplasmic Reticulum Stress and Disease (3 papers) and RNA Research and Splicing (3 papers). Thomas Dange is often cited by papers focused on Ubiquitin and proteasome pathways (4 papers), Endoplasmic Reticulum Stress and Disease (3 papers) and RNA Research and Splicing (3 papers). Thomas Dange collaborates with scholars based in United States, Germany and Netherlands. Thomas Dange's co-authors include Marion Schmidt, David Grünwald, Krisztina Tar, Ulrich Kubitscheck, Reiner Peters, Christopher J. Murakami, Brian K. Kennedy, Scott Tsuchiyama, Joe R. Delaney and Jennifer Schleit and has published in prestigious journals such as Journal of Biological Chemistry, The Journal of Cell Biology and PLoS ONE.

In The Last Decade

Thomas Dange

9 papers receiving 490 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Thomas Dange United States	8	433	156	94	94	34	9	494
Saroj G. Regmi United States	4	324 0.7×	104 0.7×	88 0.9×	32 0.3×	16 0.5×	6	397
Fabien Moretto United Kingdom	8	340 0.8×	75 0.5×	39 0.4×	26 0.3×	27 0.8×	9	468
Julie Huang United States	7	818 1.9×	353 2.3×	75 0.8×	85 0.9×	76 2.2×	11	1.1k
Rachel Terry United States	2	236 0.5×	68 0.4×	42 0.4×	19 0.2×	30 0.9×	2	356
Karen H. White United States	9	485 1.1×	117 0.8×	20 0.2×	29 0.3×	19 0.6×	12	548
Andrew Seeber Switzerland	20	1.2k 2.8×	121 0.8×	41 0.4×	16 0.2×	106 3.1×	23	1.3k
Fátima-Zahra Idrissi Spain	17	809 1.9×	552 3.5×	16 0.2×	43 0.5×	13 0.4×	21	995
Grzegorz Zapotoczny United States	8	467 1.1×	108 0.7×	8 0.1×	79 0.8×	33 1.0×	17	661
Lakxmi Subramanian United States	11	471 1.1×	66 0.4×	70 0.7×	11 0.1×	15 0.4×	14	542
Bradley Quade United States	8	399 0.9×	252 1.6×	14 0.1×	33 0.4×	32 0.9×	13	485

Countries citing papers authored by Thomas Dange

Since Specialization

Citations

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

Fields of papers citing papers by Thomas Dange

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Thomas Dange

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

All Works

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9 of 9 papers shown

Smith, Carlas, Azra Lari, Maximiliaan Huisman, et al.. (2015). In vivo single-particle imaging of nuclear mRNA export in budding yeast demonstrates an essential role for Mex67p. The Journal of Cell Biology. 211(6). 1121–1130. 54 indexed citations

Tar, Krisztina, Thomas Dange, Ciyu Yang, et al.. (2014). Proteasomes Associated with the Blm10 Activator Protein Antagonize Mitochondrial Fission through Degradation of the Fission Protein Dnm1. Journal of Biological Chemistry. 289(17). 12145–12156. 28 indexed citations

Short, Mary K., Krisztina Tar, Thomas Dange, et al.. (2012). The Yeast Magmas Ortholog Pam16 Has an Essential Function in Fermentative Growth That Involves Sphingolipid Metabolism. PLoS ONE. 7(7). e39428–e39428. 10 indexed citations

Dange, Thomas, David M. Smith, Philipp C. Rommel, et al.. (2011). Blm10 Protein Promotes Proteasomal Substrate Turnover by an Active Gating Mechanism. Journal of Biological Chemistry. 286(50). 42830–42839. 72 indexed citations

Díaz‐López, Antonio, Krisztina Tar, Undine Krügel, et al.. (2011). Proteasomal degradation of Sfp1 contributes to the repression of ribosome biogenesis during starvation and is mediated by the proteasome activator Blm10. Molecular Biology of the Cell. 22(5). 528–540. 34 indexed citations

Robison, Brett, Thomas Dange, Joe R. Delaney, et al.. (2011). Elevated Proteasome Capacity Extends Replicative Lifespan in Saccharomyces cerevisiae. PLoS Genetics. 7(9). e1002253–e1002253. 184 indexed citations

Dange, Thomas, Aviva Joseph, & David Grünwald. (2010). A perspective of the dynamic structure of the nucleus explored at the single-molecule level. Chromosome Research. 19(1). 117–129. 5 indexed citations

Dange, Thomas, et al.. (2008). Autonomy and robustness of translocation through the nuclear pore complex: a single-molecule study. The Journal of Cell Biology. 183(1). 77–86. 80 indexed citations

Grünwald, David, et al.. (2006). Direct Observation of Single Protein Molecules in Aqueous Solution. ChemPhysChem. 7(4). 812–815. 27 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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