Jörg Mansfeld

4.7k total citations · 2 hit papers
30 papers, 3.2k citations indexed

About

Jörg Mansfeld is a scholar working on Molecular Biology, Cell Biology and Oncology. According to data from OpenAlex, Jörg Mansfeld has authored 30 papers receiving a total of 3.2k indexed citations (citations by other indexed papers that have themselves been cited), including 22 papers in Molecular Biology, 15 papers in Cell Biology and 8 papers in Oncology. Recurrent topics in Jörg Mansfeld's work include Microtubule and mitosis dynamics (10 papers), Cancer-related Molecular Pathways (8 papers) and Ubiquitin and proteasome pathways (7 papers). Jörg Mansfeld is often cited by papers focused on Microtubule and mitosis dynamics (10 papers), Cancer-related Molecular Pathways (8 papers) and Ubiquitin and proteasome pathways (7 papers). Jörg Mansfeld collaborates with scholars based in Germany, United Kingdom and Switzerland. Jörg Mansfeld's co-authors include Igor A. Gak, Frank Buchholz, Anthony A. Hyman, Jürgen Cox, Matthias Mann, Nagarjuna Nagaraj, Yusuke Toyoda, Nina C. Hubner, Marco Y. Hein and Ina Poser and has published in prestigious journals such as Nature, Cell and Nature Communications.

In The Last Decade

Jörg Mansfeld

29 papers receiving 3.2k citations

Hit Papers

A Human Interactome in Three Quantitative Dimensions Orga... 2015 2026 2018 2022 2015 2015 250 500 750

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Jörg Mansfeld Germany 21 2.3k 1.1k 435 402 183 30 3.2k
Jan Gettemans Belgium 32 2.1k 0.9× 1.2k 1.1× 319 0.7× 251 0.6× 147 0.8× 94 3.3k
Malin Jarvius Sweden 20 2.6k 1.1× 652 0.6× 606 1.4× 263 0.7× 235 1.3× 38 3.7k
Karl‐Johan Leuchowius Sweden 11 2.3k 1.0× 616 0.5× 394 0.9× 181 0.5× 192 1.0× 15 3.2k
Yusuke Toyoda Japan 24 2.6k 1.1× 1.7k 1.5× 204 0.5× 273 0.7× 407 2.2× 51 3.7k
Perihan Nalbant Germany 26 1.7k 0.7× 1.6k 1.4× 223 0.5× 259 0.6× 137 0.7× 34 3.0k
Banafshé Larijani United Kingdom 30 2.4k 1.0× 1.1k 0.9× 479 1.1× 102 0.3× 117 0.6× 94 3.2k
Jason M. Haugh United States 30 1.6k 0.7× 1.2k 1.1× 345 0.8× 367 0.9× 78 0.4× 81 2.7k
Andrei V. Karginov United States 24 1.6k 0.7× 1.5k 1.3× 188 0.4× 166 0.4× 126 0.7× 43 2.9k
Kazuhiro Aoki Japan 36 3.0k 1.3× 1.4k 1.2× 334 0.8× 383 1.0× 149 0.8× 103 4.3k
Boon Chuan Low Singapore 37 2.4k 1.1× 1.5k 1.3× 435 1.0× 276 0.7× 168 0.9× 108 3.8k

Countries citing papers authored by Jörg Mansfeld

Since Specialization
Citations

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

Fields of papers citing papers by Jörg Mansfeld

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Jörg Mansfeld

This figure shows the co-authorship network connecting the top 25 collaborators of Jörg Mansfeld. A scholar is included among the top collaborators of Jörg Mansfeld 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 Jörg Mansfeld. Jörg Mansfeld 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.
Nieminuszczy, Jadwiga, Jörg Mansfeld, Laurence H. Pearl, et al.. (2025). The CIP2A-TOPBP1 axis facilitates mitotic DNA repair via MiDAS and MMEJ. Nature Communications. 16(1). 10623–10623.
2.
Eickhoff, Patrik, Cyril Fisher, Theodoros I. Roumeliotis, et al.. (2025). Chromosome end protection by RAP1-mediated inhibition of DNA-PK. Nature. 642(8069). 1090–1096. 3 indexed citations
3.
Roumeliotis, Theodoros I., Jacky K. Leung, Lu Yu, et al.. (2025). A redox switch in p21-CDK feedback during G2 phase controls the proliferation-cell cycle exit decision. Molecular Cell. 85(17). 3241–3255.e11. 1 indexed citations
4.
Pinotsi, Dorothea, et al.. (2023). Super‐resolution microscopy reveals focal organization of ER ‐associated Y‐complexes in mitosis. EMBO Reports. 24(9). e56766–e56766. 4 indexed citations
5.
Kirova, Dilyana, Kristýna Judasová, Thomas Zerjatke, et al.. (2022). A ROS-dependent mechanism promotes CDK2 phosphorylation to drive progression through S phase. Developmental Cell. 57(14). 1712–1727.e9. 72 indexed citations
6.
Schweimer, Kristian, et al.. (2020). Dimerization regulates the human APC/C-associated ubiquitin-conjugating enzyme UBE2S. Science Signaling. 13(654). 12 indexed citations
7.
Fazeli, Gholamreza, et al.. (2019). Degron-tagged reporters probe membrane topology and enable the specific labelling of membrane-wrapped structures. Nature Communications. 10(1). 3490–3490. 16 indexed citations
8.
Schweimer, Kristian, Lu Yu, Theodoros I. Roumeliotis, et al.. (2019). Autoinhibition Mechanism of the Ubiquitin-Conjugating Enzyme UBE2S by Autoubiquitination. Structure. 27(8). 1195–1210.e7. 21 indexed citations
9.
Daniel, Katrin, et al.. (2018). Conditional control of fluorescent protein degradation by an auxin-dependent nanobody. Nature Communications. 9(1). 3297–3297. 86 indexed citations
11.
Barr, Alexis R., Samuel J. Cooper, Frank S. Heldt, et al.. (2017). DNA damage during S-phase mediates the proliferation-quiescence decision in the subsequent G1 via p21 expression. Nature Communications. 8(1). 14728–14728. 276 indexed citations
12.
Zerjatke, Thomas, Igor A. Gak, Dilyana Kirova, et al.. (2017). Quantitative Cell Cycle Analysis Based on an Endogenous All-in-One Reporter for Cell Tracking and Classification. Cell Reports. 19(9). 1953–1966. 96 indexed citations
13.
Davey, Norman E., Anja Hagting, Daisuke Izawa, et al.. (2015). The ABBA Motif Binds APC/C Activators and Is Shared by APC/C Substrates and Regulators. Developmental Cell. 32(3). 358–372. 125 indexed citations
14.
Otto, Oliver, Philipp Rosendahl, Alexander Mietke, et al.. (2015). Real-time deformability cytometry: on-the-fly cell mechanical phenotyping. Nature Methods. 12(3). 199–202. 521 indexed citations breakdown →
15.
Hein, Marco Y., Nina C. Hubner, Ina Poser, et al.. (2015). A Human Interactome in Three Quantitative Dimensions Organized by Stoichiometries and Abundances. Cell. 163(3). 712–723. 905 indexed citations breakdown →
16.
Mansfeld, Jörg, Philippe Collin, Mark O. Collins, Jyoti S. Choudhary, & Jonathon Pines. (2011). APC15 drives the turnover of MCC-CDC20 to make the spindle assembly checkpoint responsive to kinetochore attachment. Nature Cell Biology. 13(10). 1234–1243. 127 indexed citations
17.
Garnett, Mathew J., Jörg Mansfeld, Colin D. Godwin, et al.. (2009). UBE2S elongates ubiquitin chains on APC/C substrates to promote mitotic exit. Nature Cell Biology. 11(11). 1363–1369. 215 indexed citations
18.
Sehring, Ivonne M., et al.. (2007). The actin multigene family of Paramecium tetraurelia. BMC Genomics. 8(1). 82–82. 29 indexed citations
19.
Schilde, Christina, et al.. (2006). A Multigene Family Encoding R‐SNAREs in the Ciliate Paramecium tetraurelia. Traffic. 7(4). 440–455. 30 indexed citations
20.
Mansfeld, Jörg, Stephan Güttinger, Nelly Panté, et al.. (2006). The Conserved Transmembrane Nucleoporin NDC1 Is Required for Nuclear Pore Complex Assembly in Vertebrate Cells. Molecular Cell. 22(1). 93–103. 181 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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