Jens C. Schmidt

2.3k total citations
31 papers, 1.4k citations indexed

About

Jens C. Schmidt is a scholar working on Molecular Biology, Physiology and Cell Biology. According to data from OpenAlex, Jens C. Schmidt has authored 31 papers receiving a total of 1.4k indexed citations (citations by other indexed papers that have themselves been cited), including 26 papers in Molecular Biology, 12 papers in Physiology and 5 papers in Cell Biology. Recurrent topics in Jens C. Schmidt's work include CRISPR and Genetic Engineering (11 papers), Telomeres, Telomerase, and Senescence (10 papers) and DNA Repair Mechanisms (8 papers). Jens C. Schmidt is often cited by papers focused on CRISPR and Genetic Engineering (11 papers), Telomeres, Telomerase, and Senescence (10 papers) and DNA Repair Mechanisms (8 papers). Jens C. Schmidt collaborates with scholars based in United States, Austria and United Kingdom. Jens C. Schmidt's co-authors include Thomas R. Cech, Matthew R. Chapman, Neal D. Hammer, Arthur J. Zaug, Iain M. Cheeseman, Andrew B Dalby, Daniel T. Youmans, David Broadbent, Gloria I. Perez and Katherine C. Goldfarb and has published in prestigious journals such as Science, Cell and Proceedings of the National Academy of Sciences.

In The Last Decade

Jens C. Schmidt

29 papers receiving 1.4k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Jens C. Schmidt United States 16 1.1k 597 306 132 131 31 1.4k
Harry Wischnewski Switzerland 15 1.7k 1.5× 693 1.2× 78 0.3× 158 1.2× 92 0.7× 20 1.9k
Jin‐Qiu Zhou China 23 1.7k 1.5× 279 0.5× 111 0.4× 333 2.5× 195 1.5× 54 1.9k
Babak Oskouian United States 19 1.1k 1.0× 233 0.4× 346 1.1× 47 0.4× 91 0.7× 26 1.3k
Alim S. Seit‐Nebi Russia 27 1.8k 1.5× 210 0.4× 343 1.1× 27 0.2× 129 1.0× 38 2.0k
Nina Lukinova United States 11 639 0.6× 248 0.4× 143 0.5× 106 0.8× 77 0.6× 13 1.3k
Laurent Maillet France 16 1.3k 1.1× 167 0.3× 89 0.3× 211 1.6× 70 0.5× 24 1.4k
Anna Ferraro Italy 17 736 0.6× 108 0.2× 450 1.5× 138 1.0× 66 0.5× 43 1.2k
Yulia V. Surovtseva United States 20 1.0k 0.9× 489 0.8× 39 0.1× 276 2.1× 51 0.4× 39 1.3k
Wolfhard Bandlow Germany 27 1.9k 1.6× 133 0.2× 564 1.8× 210 1.6× 87 0.7× 83 2.2k
Ama Gassama‐Diagne France 17 858 0.8× 117 0.2× 401 1.3× 47 0.4× 119 0.9× 35 1.3k

Countries citing papers authored by Jens C. Schmidt

Since Specialization
Citations

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

Fields of papers citing papers by Jens C. Schmidt

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Jens C. Schmidt. 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 Jens C. Schmidt. The network helps show where Jens C. Schmidt may publish in the future.

Co-authorship network of co-authors of Jens C. Schmidt

This figure shows the co-authorship network connecting the top 25 collaborators of Jens C. Schmidt. A scholar is included among the top collaborators of Jens C. Schmidt 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 Jens C. Schmidt. Jens C. Schmidt 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.
Perez, Gloria I., et al.. (2025). TRF1 and TRF2 form distinct shelterin subcomplexes at telomeres. Cell Reports. 44(9). 116178–116178. 1 indexed citations
2.
Heyza, Joshua, et al.. (2025). Protocol for fast antibiotic resistance-based gene editing of mammalian cells with CRISPR-Cas9. STAR Protocols. 6(3). 103949–103949.
3.
Schmidt, Jens C., et al.. (2024). DNA-PK: A synopsis beyond synapsis. DNA repair. 141. 103716–103716. 3 indexed citations
4.
Barnaba, Carlo, et al.. (2024). AMPK regulates phagophore-to-autophagosome maturation. The Journal of Cell Biology. 223(8). 15 indexed citations
5.
Caron, Marie‐Christine, Joshua Heyza, Yuandi Gao, et al.. (2024). PNKP safeguards stalled replication forks from nuclease-dependent degradation during replication stress. Cell Reports. 43(12). 115066–115066. 1 indexed citations
6.
Brambati, Alessandra, et al.. (2023). RHINO directs MMEJ to repair DNA breaks in mitosis. Science. 381(6658). 653–660. 63 indexed citations
7.
Heyza, Joshua, et al.. (2023). Live cell single-molecule imaging to study DNA repair in human cells. DNA repair. 129. 103540–103540. 8 indexed citations
8.
Broadbent, David, Carlo Barnaba, Gloria I. Perez, & Jens C. Schmidt. (2023). Quantitative analysis of autophagy reveals the role of ATG9 and ATG2 in autophagosome formation. The Journal of Cell Biology. 222(7). 46 indexed citations
9.
Misek, Sean A., Thomas S. Dexheimer, Susan E. Conrad, et al.. (2022). BRAF Inhibitor Resistance Confers Increased Sensitivity to Mitotic Inhibitors. Frontiers in Oncology. 12. 766794–766794. 4 indexed citations
10.
Perez, Gloria I., David Broadbent, Matthew P. Bernard, et al.. (2022). In Vitro and In Vivo Analysis of Extracellular Vesicle‐Mediated Metastasis Using a Bright, Red‐Shifted Bioluminescent Reporter Protein. SHILAP Revista de lepidopterología. 3(1). 2100055–2100055. 12 indexed citations
11.
Comstock, Matthew, et al.. (2020). Observation of processive telomerase catalysis using high-resolution optical tweezers. Nature Chemical Biology. 16(7). 801–809. 37 indexed citations
12.
Youmans, Daniel T., Jens C. Schmidt, & Thomas R. Cech. (2018). Live-cell imaging reveals the dynamics of PRC2 and recruitment to chromatin by SUZ12-associated subunits. Genes & Development. 32(11-12). 794–805. 62 indexed citations
13.
Schmidt, Jens C., et al.. (2018). Dynamics of human telomerase recruitment depend on template-telomere base pairing. Molecular Biology of the Cell. 29(7). 869–880. 19 indexed citations
14.
Shukla, Siddharth, Jens C. Schmidt, Katherine C. Goldfarb, Thomas R. Cech, & Roy Parker. (2016). Inhibition of telomerase RNA decay rescues telomerase deficiency caused by dyskerin or PARN defects. Nature Structural & Molecular Biology. 23(4). 286–292. 88 indexed citations
15.
Schmidt, Jens C., Arthur J. Zaug, & Thomas R. Cech. (2016). Live Cell Imaging Reveals the Dynamics of Telomerase Recruitment to Telomeres. Cell. 166(5). 1188–1197.e9. 138 indexed citations
16.
Schmidt, Jens C. & Thomas R. Cech. (2015). Human telomerase: biogenesis, trafficking, recruitment, and activation. Genes & Development. 29(11). 1095–1105. 221 indexed citations
17.
Xi, Linghe, et al.. (2015). A novel two-step genome editing strategy with CRISPR-Cas9 provides new insights into telomerase action and TERT gene expression. Genome biology. 16(1). 231–231. 82 indexed citations
18.
Boeszoermenyi, Andras, Jens C. Schmidt, Iain M. Cheeseman, et al.. (2013). Resonance assignments of the microtubule-binding domain of the C. elegans spindle and kinetochore-associated protein 1. Biomolecular NMR Assignments. 8(2). 275–278. 5 indexed citations
19.
Schmidt, Jens C., Haribabu Arthanari, Andras Boeszoermenyi, et al.. (2012). The Kinetochore-Bound Ska1 Complex Tracks Depolymerizing Microtubules and Binds to Curved Protofilaments. Developmental Cell. 23(5). 968–980. 163 indexed citations
20.
Schmidt, Jens C., Haribabu Arthanari, Andras Boeszoermenyi, et al.. (2012). The Kinetochore-Bound Ska1 Complex Tracks Depolymerizing Microtubules and Binds to Curved Protofilaments. Developmental Cell. 23(5). 1081–1081. 2 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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