Martha Smets

634 total citations
9 papers, 366 citations indexed

About

Martha Smets is a scholar working on Molecular Biology, Genetics and Plant Science. According to data from OpenAlex, Martha Smets has authored 9 papers receiving a total of 366 indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Molecular Biology, 5 papers in Genetics and 2 papers in Plant Science. Recurrent topics in Martha Smets's work include Genetics and Neurodevelopmental Disorders (5 papers), Epigenetics and DNA Methylation (3 papers) and CRISPR and Genetic Engineering (2 papers). Martha Smets is often cited by papers focused on Genetics and Neurodevelopmental Disorders (5 papers), Epigenetics and DNA Methylation (3 papers) and CRISPR and Genetic Engineering (2 papers). Martha Smets collaborates with scholars based in Germany, Italy and Israel. Martha Smets's co-authors include Heinrich Leonhardt, Weihua Qin, Ignasi Forné, Axel Imhof, Stephanie Link, Patricia Wolf, Karin Fellinger, Ian Marc Bonapace, Nan Liu and David Hörl and has published in prestigious journals such as Nucleic Acids Research, Molecular Cell and Journal of Molecular Biology.

In The Last Decade

Martha Smets

8 papers receiving 364 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Martha Smets Germany	8	332	78	37	28	28	9	366
William F. Richter United States	8	279 0.8×	55 0.7×	22 0.6×	33 1.2×	7 0.3×	8	341
Patrick Héry France	7	414 1.2×	59 0.8×	28 0.8×	25 0.9×	11 0.4×	8	474
Dai‐Ying Wu United States	7	241 0.7×	91 1.2×	42 1.1×	45 1.6×	19 0.7×	8	322
Stefanie Metze Switzerland	2	315 0.9×	22 0.3×	20 0.5×	11 0.4×	15 0.5×	2	356
Cindy Yen Okitsu United States	7	310 0.9×	54 0.7×	26 0.7×	16 0.6×	20 0.7×	13	369
Andrew Perez United States	7	349 1.1×	90 1.2×	48 1.3×	21 0.8×	4 0.1×	8	394
Christian Pistore Italy	7	350 1.1×	58 0.7×	76 2.1×	29 1.0×	10 0.4×	7	379
Hui Si Kwok United States	10	200 0.6×	36 0.5×	38 1.0×	39 1.4×	15 0.5×	12	258
Yasuko Ohtani Japan	8	371 1.1×	51 0.7×	27 0.7×	25 0.9×	17 0.6×	11	404
Bobbie Pelham‐Webb United States	6	448 1.3×	52 0.7×	30 0.8×	11 0.4×	10 0.4×	7	468

Countries citing papers authored by Martha Smets

Since Specialization

Citations

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

Fields of papers citing papers by Martha Smets

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Martha Smets

This figure shows the co-authorship network connecting the top 25 collaborators of Martha Smets. A scholar is included among the top collaborators of Martha Smets 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 Martha Smets. Martha Smets is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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9 of 9 papers shown

Qin, Weihua, Enes Ugur, Christopher B. Mulholland, et al.. (2021). Phosphorylation of the HP1β hinge region sequesters KAP1 in heterochromatin and promotes the exit from naïve pluripotency. Nucleic Acids Research. 49(13). 7406–7423. 11 indexed citations

Ziegenhain, Christoph, Beate Vieth, Swati Parekh, et al.. (2017). Comparative Analysis of Single-Cell RNA Sequencing Methods. Molecular Cell. 65(4). 631–643.e4.

Garz, Anne-Kathrin, Sonja Grath, Verena I. Gaidzik, et al.. (2017). Azacitidine combined with the selective FLT3 kinase inhibitor crenolanib disrupts stromal protection and inhibits expansion of residual leukemia-initiating cells in FLT3-ITD AML with concurrent epigenetic mutations. Oncotarget. 8(65). 108738–108759. 12 indexed citations

Smets, Martha, Joël Ryan, Ignasi Forné, et al.. (2017). Ubiquitome Analysis Reveals PCNA-Associated Factor 15 (PAF15) as a Specific Ubiquitination Target of UHRF1 in Embryonic Stem Cells. Journal of Molecular Biology. 429(24). 3814–3824. 41 indexed citations

Smets, Martha, Stephanie Link, Patricia Wolf, et al.. (2017). DNMT1 mutations found in HSANIE patients affect interaction with UHRF1 and neuronal differentiation. Human Molecular Genetics. 26(8). 1522–1534. 36 indexed citations

Zhang, Peng, Anne K. Ludwig, Ines Hellmann, et al.. (2017). L1 retrotransposition is activated by Ten-eleven-translocation protein 1 and repressed by methyl-CpG binding proteins. Nucleus. 8(5). 548–562. 20 indexed citations

Qin, Weihua, Patricia Wolf, Nan Liu, et al.. (2015). DNA methylation requires a DNMT1 ubiquitin interacting motif (UIM) and histone ubiquitination. Cell Research. 25(8). 911–929. 182 indexed citations

Mulholland, Christopher B., Martha Smets, Yolanda Markaki, et al.. (2015). A modular open platform for systematic functional studies under physiological conditions. Nucleic Acids Research. 43(17). e112–e112. 29 indexed citations

Hertz, Rachel, et al.. (2014). Long-Chain Fatty Acid Analogues Suppress Breast Tumorigenesis and Progression. Cancer Research. 74(23). 6991–7002. 35 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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