Martin Leeb

3.9k total citations
28 papers, 2.1k citations indexed

About

Martin Leeb is a scholar working on Molecular Biology, Genetics and Public Health, Environmental and Occupational Health. According to data from OpenAlex, Martin Leeb has authored 28 papers receiving a total of 2.1k indexed citations (citations by other indexed papers that have themselves been cited), including 23 papers in Molecular Biology, 12 papers in Genetics and 2 papers in Public Health, Environmental and Occupational Health. Recurrent topics in Martin Leeb's work include CRISPR and Genetic Engineering (12 papers), Pluripotent Stem Cells Research (9 papers) and Epigenetics and DNA Methylation (8 papers). Martin Leeb is often cited by papers focused on CRISPR and Genetic Engineering (12 papers), Pluripotent Stem Cells Research (9 papers) and Epigenetics and DNA Methylation (8 papers). Martin Leeb collaborates with scholars based in United Kingdom, Austria and Germany. Martin Leeb's co-authors include Anton Wutz, Maria Novatchkova, Wendy A. Bickmore, Ragnhild Eskeland, Dieter Pullirsch, Diego Pasini, Kristian Helin, Markus Jaritz, Austin Smith and Yuhong Fan and has published in prestigious journals such as Nature, Nature Communications and Genes & Development.

In The Last Decade

Martin Leeb

28 papers receiving 2.1k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Martin Leeb United Kingdom 19 1.8k 528 212 210 97 28 2.1k
Toru Sengoku Japan 18 1.5k 0.8× 267 0.5× 69 0.3× 68 0.3× 72 0.7× 33 1.7k
Christelle Cayrou France 22 2.3k 1.2× 275 0.5× 165 0.8× 192 0.9× 17 0.2× 27 2.6k
Tamaki Suganuma United States 17 2.3k 1.2× 201 0.4× 189 0.9× 273 1.3× 13 0.1× 30 2.5k
Christian Mielke Germany 22 1.7k 0.9× 326 0.6× 83 0.4× 222 1.1× 72 0.7× 38 1.9k
Jelena Telenius United Kingdom 22 1.2k 0.6× 175 0.3× 105 0.5× 230 1.1× 63 0.6× 32 1.4k
Wansheng Liu United States 21 390 0.2× 466 0.9× 118 0.6× 186 0.9× 222 2.3× 58 1.1k
Gerald P. Holmquist United States 26 1.8k 1.0× 553 1.0× 247 1.2× 594 2.8× 38 0.4× 39 2.2k
Zbigniew Domiński United States 36 3.5k 1.9× 225 0.4× 134 0.6× 158 0.8× 20 0.2× 69 3.7k
Kenji Murata Japan 18 575 0.3× 335 0.6× 123 0.6× 58 0.3× 66 0.7× 38 1.3k

Countries citing papers authored by Martin Leeb

Since Specialization
Citations

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

Fields of papers citing papers by Martin Leeb

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Martin Leeb

This figure shows the co-authorship network connecting the top 25 collaborators of Martin Leeb. A scholar is included among the top collaborators of Martin Leeb 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 Martin Leeb. Martin Leeb 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.
Lando, David, Xiaoyan Ma, Tim J. Stevens, et al.. (2024). Enhancer-promoter interactions are reconfigured through the formation of long-range multiway hubs as mouse ES cells exit pluripotency. Molecular Cell. 84(8). 1406–1421.e8. 3 indexed citations
2.
Sestini, Giovanni, et al.. (2024). FoxO transcription factors actuate the formative pluripotency specific gene expression programme. Nature Communications. 15(1). 7879–7879. 6 indexed citations
3.
Lackner, Andreas, Giuliano Giuseppe Stirparo, Petra van der Lelij, et al.. (2021). Cooperative genetic networks drive embryonic stem cell transition from naïve to formative pluripotency. The EMBO Journal. 40(8). e105776–e105776. 31 indexed citations
4.
Halbritter, Florian, Toru Suzuki, Maki Asami, et al.. (2021). Genomic imprinting in mouse blastocysts is predominantly associated with H3K27me3. Nature Communications. 12(1). 3804–3804. 32 indexed citations
5.
Thomas, Henry, Andreas Lackner, Thomas Penz, et al.. (2021). Temporal dissection of an enhancer cluster reveals distinct temporal and functional contributions of individual elements. Molecular Cell. 81(5). 969–982.e13. 46 indexed citations
6.
Lando, David, Srinjan Basu, Tim J. Stevens, et al.. (2018). Combining fluorescence imaging with Hi-C to study 3D genome architecture of the same single cell. Nature Protocols. 13(5). 1034–1061. 10 indexed citations
7.
Leeb, Martin, Sabine Dietmann, Maike Paramor, Hitoshi Niwa, & Austin Smith. (2014). Genetic Exploration of the Exit from Self-Renewal Using Haploid Embryonic Stem Cells. Cell stem cell. 14(3). 385–393. 143 indexed citations
8.
Leeb, Martin & Anton Wutz. (2013). Haploid genomes illustrate epigenetic constraints and gene dosage effects in mammals. Epigenetics & Chromatin. 6(1). 41–41. 8 indexed citations
9.
Stower, Hannah, John A. Halsall, Martin Leeb, et al.. (2013). The histone deacetylase inhibitor sodium valproate causes limited transcriptional change in mouse embryonic stem cells but selectively overrides Polycomb-mediated Hoxb silencing. Epigenetics & Chromatin. 6(1). 11–11. 31 indexed citations
10.
Wutz, Anton & Martin Leeb. (2013). Gene dosage in mammals: characterization of haploid embryonic stem cells. Epigenetics & Chromatin. 6(S1). 2 indexed citations
11.
Leeb, Martin & Anton Wutz. (2012). Establishment of epigenetic patterns in development. Chromosoma. 121(3). 251–262. 30 indexed citations
12.
Leeb, Martin & Anton Wutz. (2011). Derivation of haploid embryonic stem cells from mouse embryos. Nature. 479(7371). 131–134. 192 indexed citations
13.
Eskeland, Ragnhild, et al.. (2010). Histone Acetylation and the Maintenance of Chromatin Compaction by Polycomb Repressive Complexes. Cold Spring Harbor Symposia on Quantitative Biology. 75(0). 71–78. 33 indexed citations
14.
Leeb, Martin & Anton Wutz. (2010). Mechanistic concepts in X inactivation underlying dosage compensation in mammals. Heredity. 105(1). 64–70. 16 indexed citations
15.
Leeb, Martin, Diego Pasini, Maria Novatchkova, et al.. (2010). Polycomb complexes act redundantly to repress genomic repeats and genes. Genes & Development. 24(3). 265–276. 259 indexed citations
16.
Eskeland, Ragnhild, Martin Leeb, Graeme R. Grimes, et al.. (2010). Ring1B Compacts Chromatin Structure and Represses Gene Expression Independent of Histone Ubiquitination. Molecular Cell. 38(3). 452–464. 418 indexed citations
17.
Agrelo, Rubén, Abdallah Souabni, Maria Novatchkova, et al.. (2009). SATB1 Defines the Developmental Context for Gene Silencing by Xist in Lymphoma and Embryonic Cells. Developmental Cell. 16(4). 507–516. 153 indexed citations
18.
Leeb, Martin, Philipp A. Steffen, & Anton Wutz. (2009). X chromosome inactivation sparked by non-coding RNAs. RNA Biology. 6(2). 94–99. 31 indexed citations
19.
Pullirsch, Dieter, et al.. (2007). Xist and the order of silencing. EMBO Reports. 8(1). 34–39. 115 indexed citations
20.
Leeb, Martin. (2004). A shot in the arm. Nature. 431(7011). 892–893. 200 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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