Gregor Neuert

2.6k total citations · 1 hit paper
26 papers, 1.8k citations indexed

About

Gregor Neuert is a scholar working on Molecular Biology, Biophysics and Atomic and Molecular Physics, and Optics. According to data from OpenAlex, Gregor Neuert has authored 26 papers receiving a total of 1.8k indexed citations (citations by other indexed papers that have themselves been cited), including 18 papers in Molecular Biology, 7 papers in Biophysics and 6 papers in Atomic and Molecular Physics, and Optics. Recurrent topics in Gregor Neuert's work include Gene Regulatory Network Analysis (12 papers), Force Microscopy Techniques and Applications (6 papers) and Single-cell and spatial transcriptomics (6 papers). Gregor Neuert is often cited by papers focused on Gene Regulatory Network Analysis (12 papers), Force Microscopy Techniques and Applications (6 papers) and Single-cell and spatial transcriptomics (6 papers). Gregor Neuert collaborates with scholars based in United States, Germany and Netherlands. Gregor Neuert's co-authors include Brian Munsky, Alexander van Oudenaarden, Hermann E. Gaub, Christian Albrecht, Zachary Fox, Kerstin G. Blank, Thomas Nicolaus, Julia Zimmermann, Lenny Teytelman and Mustafa Khammash and has published in prestigious journals such as Science, Cell and Proceedings of the National Academy of Sciences.

In The Last Decade

Gregor Neuert

24 papers receiving 1.7k citations

Hit Papers

Using Gene Expression Noise to Understand Gene Regulation 2012 2026 2016 2021 2012 100 200 300 400 500
What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

  1. Using Gene Expression Noise to Understand Gene Regulation
    2012 539 citations Brian Munsky, Gregor Neuert et al. Science profile →

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Gregor Neuert United States 16 1.3k 280 232 168 153 26 1.8k
Timothy J. Stasevich United States 25 2.2k 1.6× 168 0.6× 174 0.8× 380 2.3× 63 0.4× 67 2.7k
Colin Echeverría Aitken United States 16 1.8k 1.3× 87 0.3× 225 1.0× 301 1.8× 55 0.4× 22 2.1k
Timothy J. Wilson United Kingdom 31 2.3k 1.7× 125 0.4× 227 1.0× 225 1.3× 37 0.2× 76 2.8k
John van Noort Netherlands 30 3.0k 2.2× 318 1.1× 338 1.5× 105 0.6× 115 0.8× 66 3.5k
Laurence Salomé France 24 1.1k 0.8× 319 1.1× 89 0.4× 155 0.9× 76 0.5× 54 2.1k
Jingyi Fei United States 25 2.2k 1.6× 73 0.3× 430 1.9× 219 1.3× 133 0.9× 55 2.5k
Sanford H. Leuba United States 28 1.9k 1.4× 640 2.3× 199 0.9× 85 0.5× 38 0.2× 57 2.4k
Hervé Isambert France 23 1.3k 1.0× 320 1.1× 209 0.9× 141 0.8× 49 0.3× 47 2.2k
Piero R. Bianco United States 26 1.5k 1.1× 294 1.1× 677 2.9× 294 1.8× 44 0.3× 70 2.0k
Lu Bai United States 22 2.1k 1.6× 143 0.5× 366 1.6× 81 0.5× 140 0.9× 61 2.4k

Countries citing papers authored by Gregor Neuert

Since Specialization
Citations

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

Fields of papers citing papers by Gregor Neuert

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Gregor Neuert

This figure shows the co-authorship network connecting the top 25 collaborators of Gregor Neuert. A scholar is included among the top collaborators of Gregor Neuert 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 Gregor Neuert. Gregor Neuert 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.
2.
Neuert, Gregor, et al.. (2024). Phenotypic consequences of logarithmic signaling in MAPK stress response. iScience. 28(1). 111625–111625.
3.
Neuert, Gregor, et al.. (2023). Rate thresholds in cell signaling have functional and phenotypic consequences in non-linear time-dependent environments. Frontiers in Cell and Developmental Biology. 11. 1124874–1124874. 3 indexed citations
4.
Fox, Zachary, et al.. (2021). Building predictive signaling models by perturbing yeast cells with time-varying stimulations resulting in distinct signaling responses. STAR Protocols. 2(3). 100660–100660. 2 indexed citations
5.
Li, Guoliang, et al.. (2020). A rate threshold mechanism regulates MAPK stress signaling and survival. Proceedings of the National Academy of Sciences. 118(2). 12 indexed citations
6.
Fox, Zachary, Gregor Neuert, & Brian Munsky. (2020). Optimal Design of Single-Cell Experiments within Temporally Fluctuating Environments. Complexity. 2020. 1–15. 4 indexed citations
7.
Fox, Zachary, et al.. (2020). Diverse Cell Stimulation Kinetics Identify Predictive Signal Transduction Models. iScience. 23(10). 101565–101565. 6 indexed citations
8.
Li, Guoliang, et al.. (2019). Generating kinetic environments to study dynamic cellular processes in single cells. Scientific Reports. 9(1). 10129–10129. 13 indexed citations
9.
Li, Guoliang, et al.. (2019). Automated cell boundary and 3D nuclear segmentation of cells in suspension. Scientific Reports. 9(1). 10237–10237. 17 indexed citations
10.
Li, Guoliang & Gregor Neuert. (2019). Multiplex RNA single molecule FISH of inducible mRNAs in single yeast cells. Scientific Data. 6(1). 94–94. 19 indexed citations
11.
Munsky, Brian, Guoliang Li, Zachary Fox, Douglas P. Shepherd, & Gregor Neuert. (2018). Distribution shapes govern the discovery of predictive models for gene regulation. Proceedings of the National Academy of Sciences. 115(29). 7533–7538. 62 indexed citations
12.
Munsky, Brian & Gregor Neuert. (2015). From analog to digital models of gene regulation. Physical Biology. 12(4). 45004–45004. 13 indexed citations
13.
Munsky, Brian, Zachary Fox, & Gregor Neuert. (2015). Integrating single-molecule experiments and discrete stochastic models to understand heterogeneous gene transcription dynamics. Methods. 85. 12–21. 59 indexed citations
14.
Neuert, Gregor, et al.. (2012). Single-Cell Analysis Reveals that Noncoding RNAs Contribute to Clonal Heterogeneity by Modulating Transcription Factor Recruitment. Molecular Cell. 45(4). 470–482. 96 indexed citations
15.
Werven, Folkert J. van, Gregor Neuert, Aurélie Lardenois, et al.. (2012). Transcription of Two Long Noncoding RNAs Mediates Mating-Type Control of Gametogenesis in Budding Yeast. Cell. 150(6). 1170–1181. 208 indexed citations
16.
Munsky, Brian, Gregor Neuert, & Alexander van Oudenaarden. (2012). Using Gene Expression Noise to Understand Gene Regulation. Science. 336(6078). 183–187. 539 indexed citations breakdown →
17.
Zimmermann, Julia, Thomas Nicolaus, Gregor Neuert, & Kerstin G. Blank. (2010). Thiol-based, site-specific and covalent immobilization of biomolecules for single-molecule experiments. Nature Protocols. 5(6). 975–985. 137 indexed citations
18.
Albrecht, Christian, et al.. (2008). Molecular Force Balance Measurements Reveal that Double-Stranded DNA Unbinds Under Force in Rate-Dependent Pathways. Biophysical Journal. 94(12). 4766–4774. 32 indexed citations
19.
Neuert, Gregor, Christian Albrecht, & Hermann E. Gaub. (2007). Predicting the Rupture Probabilities of Molecular Bonds in Series. Biophysical Journal. 93(4). 1215–1223. 29 indexed citations
20.
Neuert, Gregor, et al.. (2005). Dynamic force spectroscopy of the digoxigenin–antibody complex. FEBS Letters. 580(2). 505–509. 125 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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