Nicolas J. Lehrbach

3.3k total citations · 1 hit paper
27 papers, 2.3k citations indexed

About

Nicolas J. Lehrbach is a scholar working on Aging, Molecular Biology and Cell Biology. According to data from OpenAlex, Nicolas J. Lehrbach has authored 27 papers receiving a total of 2.3k indexed citations (citations by other indexed papers that have themselves been cited), including 20 papers in Aging, 19 papers in Molecular Biology and 8 papers in Cell Biology. Recurrent topics in Nicolas J. Lehrbach's work include Genetics, Aging, and Longevity in Model Organisms (20 papers), CRISPR and Genetic Engineering (10 papers) and Endoplasmic Reticulum Stress and Disease (8 papers). Nicolas J. Lehrbach is often cited by papers focused on Genetics, Aging, and Longevity in Model Organisms (20 papers), CRISPR and Genetic Engineering (10 papers) and Endoplasmic Reticulum Stress and Disease (8 papers). Nicolas J. Lehrbach collaborates with scholars based in United States, United Kingdom and Switzerland. Nicolas J. Lehrbach's co-authors include Eric A. Miska, Gary Ruvkun, Alexandra Sapetschnig, Leonard D. Goldstein, Peter Sarkies, Eva‐Maria Weick, Alyson Ashe, Jérémie Le Pen, Javier Armisen and Anna-Lisa Doebley and has published in prestigious journals such as Science, Cell and Nucleic Acids Research.

In The Last Decade

Nicolas J. Lehrbach

25 papers receiving 2.3k citations

Hit Papers

piRNAs Can Trigger a Mult... 2012 2026 2016 2021 2012 100 200 300 400 500

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author Last Decade Papers Cites
Nicolas J. Lehrbach 1.8k 858 603 393 258 27 2.3k
John K. Kim 1.8k 1.0× 553 0.6× 501 0.8× 334 0.8× 115 0.4× 33 2.3k
Jordan D. Ward 2.6k 1.4× 1.5k 1.8× 342 0.6× 252 0.6× 368 1.4× 43 3.3k
Francesca Palladino 1.6k 0.9× 650 0.8× 311 0.5× 103 0.3× 167 0.6× 39 1.9k
Shawn Ahmed 1.9k 1.0× 1.2k 1.4× 484 0.8× 127 0.3× 231 0.9× 43 2.4k
Ann M. Rose 2.6k 1.4× 1.4k 1.7× 638 1.1× 166 0.4× 395 1.5× 86 3.4k
Rafal Ciosk 3.8k 2.1× 607 0.7× 858 1.4× 157 0.4× 308 1.2× 38 4.2k
Adam P. Rosebrock 1.7k 0.9× 184 0.2× 221 0.4× 178 0.5× 184 0.7× 30 2.0k
Charalampos Rallis 1.2k 0.7× 178 0.2× 243 0.4× 134 0.3× 292 1.1× 43 1.6k
Rueyling Lin 2.5k 1.4× 1.4k 1.7× 325 0.5× 73 0.2× 240 0.9× 39 3.2k
Qian Bian 1.4k 0.8× 319 0.4× 329 0.5× 65 0.2× 257 1.0× 44 1.6k

Countries citing papers authored by Nicolas J. Lehrbach

Since Specialization
Citations

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

Fields of papers citing papers by Nicolas J. Lehrbach

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Nicolas J. Lehrbach. 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 Nicolas J. Lehrbach. The network helps show where Nicolas J. Lehrbach may publish in the future.

Co-authorship network of co-authors of Nicolas J. Lehrbach

This figure shows the co-authorship network connecting the top 25 collaborators of Nicolas J. Lehrbach. A scholar is included among the top collaborators of Nicolas J. Lehrbach 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 Nicolas J. Lehrbach. Nicolas J. Lehrbach 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.
Topalidou, Irini, et al.. (2025). Protein sequence editing defines distinct and overlapping functions of SKN-1A/Nrf1 and SKN-1C/Nrf2. PLoS Genetics. 21(7). e1011780–e1011780.
2.
Breen, Peter C., et al.. (2024). Mutations in nucleotide metabolism genes bypass proteasome defects in png-1/NGLY1-deficient Caenorhabditis elegans. PLoS Biology. 22(7). e3002720–e3002720. 1 indexed citations
3.
Lehrbach, Nicolas J., et al.. (2024). Decreased Hsp90 activity protects against TDP-43 neurotoxicity in a C. elegans model of amyotrophic lateral sclerosis. PLoS Genetics. 20(12). e1011518–e1011518. 1 indexed citations
5.
Castillo-Quan, Jorge Iván, Michael J. Steinbaugh, Ziyun Wu, et al.. (2023). An antisteatosis response regulated by oleic acid through lipid droplet–mediated ERAD enhancement. Science Advances. 9(1). eadc8917–eadc8917. 31 indexed citations
6.
Ruvkun, Gary & Nicolas J. Lehrbach. (2022). Regulation and Functions of the ER-Associated Nrf1 Transcription Factor. Cold Spring Harbor Perspectives in Biology. 15(1). a041266–a041266. 31 indexed citations
7.
Charlesworth, Amanda, Uri Seroussi, Nicolas J. Lehrbach, et al.. (2021). Two isoforms of the essential C. elegans Argonaute CSR-1 differentially regulate sperm and oocyte fertility. Nucleic Acids Research. 49(15). 8836–8865. 30 indexed citations
8.
Lehrbach, Nicolas J., Peter C. Breen, & Gary Ruvkun. (2019). Protein Sequence Editing of SKN-1A/Nrf1 by Peptide:N-Glycanase Controls Proteasome Gene Expression. Cell. 177(3). 737–750.e15. 88 indexed citations
9.
10.
Tillman, Erik J., Claire E. Richardson, Kirthi C. Reddy, et al.. (2018). Endoplasmic Reticulum Homeostasis Is Modulated by the Forkhead Transcription Factor FKH-9 During Infection of Caenorhabditis elegans. Genetics. 210(4). 1329–1337. 12 indexed citations
11.
Sapetschnig, Alexandra, Peter Sarkies, Nicolas J. Lehrbach, & Eric A. Miska. (2015). Tertiary siRNAs Mediate Paramutation in C. elegans. PLoS Genetics. 11(3). e1005078–e1005078. 83 indexed citations
12.
Castro, Cecilia, Jan Krumsiek, Nicolas J. Lehrbach, et al.. (2013). A study of Caenorhabditis elegans DAF-2 mutants by metabolomics and differential correlation networks. Molecular BioSystems. 9(7). 1632–1642. 35 indexed citations
13.
Goldstein, Leonard D., Alexandra Sapetschnig, Eva‐Maria Weick, et al.. (2012). Function, Targets, and Evolution of Caenorhabditis elegans piRNAs. Science. 337(6094). 574–578. 279 indexed citations
14.
Ashe, Alyson, Alexandra Sapetschnig, Eva‐Maria Weick, et al.. (2012). piRNAs Can Trigger a Multigenerational Epigenetic Memory in the Germline of C. elegans. Cell. 150(1). 88–99. 521 indexed citations breakdown →
16.
Lehrbach, Nicolas J. & Eric A. Miska. (2010). Regulation of pre-miRNA Processing. Advances in experimental medicine and biology. 700. 67–75. 18 indexed citations
17.
Jovanović, Marko, Lukas Reiter, Paola Picotti, et al.. (2010). A quantitative targeted proteomics approach to validate predicted microRNA targets in C. elegans. Nature Methods. 7(10). 837–842. 68 indexed citations
18.
Lehrbach, Nicolas J., Javier Armisen, Helen L. Lightfoot, et al.. (2009). LIN-28 and the poly(U) polymerase PUP-2 regulate let-7 microRNA processing in Caenorhabditis elegans. Nature Structural & Molecular Biology. 16(10). 1016–1020. 199 indexed citations
19.
Das, Partha Pratim, Leonard D. Goldstein, Nicolas J. Lehrbach, et al.. (2008). Piwi and piRNAs Act Upstream of an Endogenous siRNA Pathway to Suppress Tc3 Transposon Mobility in the Caenorhabditis elegans Germline. Molecular Cell. 31(1). 79–90. 319 indexed citations
20.
Lehrbach, Nicolas J. & Eric A. Miska. (2008). Functional genomic, computational and proteomic analysis of C. elegans microRNAs. Briefings in Functional Genomics and Proteomics. 7(3). 228–235. 4 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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