Thomas Dange

647 citations
9 papers · 509 · h-index 8

Impact in

  • Aging top 2%
    • Genetics, Aging, and Longevity in Model Organisms
  • Cell Biology top 10%
    • Endoplasmic Reticulum Stress and Disease

Papers in

    • Ubiquitin and proteasome pathways 4
    • RNA Research and Splicing 3
    • Mitochondrial Function and Pathology 2
    • Nuclear Structure and Function 2
    • ATP Synthase and ATPases Research 2
    • Endoplasmic Reticulum Stress and Disease 3

Thomas Dange

9 papers receiving 505 citations

Peers

Thomas Dange
Comparison fields: 5 of 59
  • Aging 97
  • Cell Biology 155
  • Structural Biology 13
  • Molecular Biology 444
  • Biophysics 34
Replace Saroj G. Regmi with:
Saroj G. Regmi United States
Andrew Seeber Switzerland
Ulrich Berge Switzerland
Robert G. Abrisch United States
Isabelle Léger‐Silvestre France
Lakshmi E. Miller-Vedam United States
Valerie C. Coffman United States
Lutz R. Gehlen Switzerland
Lakxmi Subramanian United States
G. A. Ermakova Russia
Thomas Dange relative to Saroj G. Regmi United States Saroj G. Regmi's profile →
Citations per field
00.5×7.7×
Saroj G. Regmi · 1×
Citations per year

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-authors

The 25 scholars most cited alongside Thomas Dange, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Thomas Dange Line = papers co-authored together Thomas Dange links everyone, so they are left out of the graph.

All Works

9 of 9 papers shown
#Work
1 2011191
2 200880
3 201173
4 201557
5 201135
6 201429
7 200627
8 201211
9 20106

About Thomas Dange

Thomas Dange is a scholar working on Molecular Biology, Cell Biology, Biophysics, Oncology and Aging, having authored 9 papers that have together received 509 indexed citations. Recurring topics across this work include Ubiquitin and proteasome pathways (4 papers), Endoplasmic Reticulum Stress and Disease (3 papers), RNA Research and Splicing (3 papers), Mitochondrial Function and Pathology (2 papers), Advanced Fluorescence Microscopy Techniques (2 papers), Nuclear Structure and Function (2 papers), ATP Synthase and ATPases Research (2 papers) and Peptidase Inhibition and Analysis (1 paper). The work is most often cited by research in Aging (97 citations), Cell Biology (155 citations), Structural Biology (13 citations), Molecular Biology (444 citations) and Biophysics (34 citations). Thomas Dange has collaborated with scholars based in United States, Germany and Netherlands. Frequent co-authors include Marion Schmidt, David Grünwald, Ulrich Kubitscheck, Krisztina Tar, Reiner Peters, Joe R. Delaney, Brett Robison, George L. Sutphin, Brian K. Kennedy and Scott Tsuchiyama. Their work appears in journals such as The Journal of Cell Biology, Journal of Biological Chemistry, PLoS ONE, Chromosome Research and ChemPhysChem.

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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