Leah H. Matzat

1.8k total citations
9 papers, 182 citations indexed

About

Leah H. Matzat is a scholar working on Molecular Biology, Plant Science and Cancer Research. According to data from OpenAlex, Leah H. Matzat has authored 9 papers receiving a total of 182 indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Molecular Biology, 2 papers in Plant Science and 1 paper in Cancer Research. Recurrent topics in Leah H. Matzat's work include RNA Research and Splicing (8 papers), Genomics and Chromatin Dynamics (7 papers) and RNA and protein synthesis mechanisms (3 papers). Leah H. Matzat is often cited by papers focused on RNA Research and Splicing (8 papers), Genomics and Chromatin Dynamics (7 papers) and RNA and protein synthesis mechanisms (3 papers). Leah H. Matzat collaborates with scholars based in United States. Leah H. Matzat's co-authors include Elissa P. Lei, Ryan Dale, Lyne Lévesque, Matthew R. King, David Rekosh, Yeou-Cherng Bor, Marie‐Louise Hammarskjöld, Li Jin, Bryce M. Paschal and Catherine E. McManus and has published in prestigious journals such as Nucleic Acids Research, Nature Communications and Journal of Cell Science.

In The Last Decade

Leah H. Matzat

9 papers receiving 180 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Leah H. Matzat United States	8	175	54	16	14	13	9	182
Chitvan Mittal United States	7	314 1.8×	41 0.8×	11 0.7×	9 0.6×	7 0.5×	11	330
Maria Dvorkina United Kingdom	3	266 1.5×	37 0.7×	34 2.1×	14 1.0×	9 0.7×	3	284
Elizabeth A. Rach United States	5	293 1.7×	57 1.1×	32 2.0×	27 1.9×	12 0.9×	6	332
Raquel Garza Sweden	5	97 0.6×	62 1.1×	26 1.6×	5 0.4×	11 0.8×	7	134
Hamsa D. Tadepally United States	2	132 0.8×	21 0.4×	37 2.3×	15 1.1×	4 0.3×	3	158
Rubina Koglgruber Austria	3	119 0.7×	72 1.3×	23 1.4×	7 0.5×	16 1.2×	3	141
Lisa Lampersberger Austria	4	198 1.1×	84 1.6×	39 2.4×	5 0.4×	7 0.5×	4	225
Jonathan O. Nelson United States	7	211 1.2×	90 1.7×	31 1.9×	13 0.9×	6 0.5×	10	244
Alexis Nagengast United States	7	125 0.7×	19 0.4×	32 2.0×	5 0.4×	15 1.2×	11	161
Josef Redolfi Germany	6	360 2.1×	74 1.4×	46 2.9×	17 1.2×	9 0.7×	6	379

Countries citing papers authored by Leah H. Matzat

Since Specialization

Citations

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

Fields of papers citing papers by Leah H. Matzat

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Leah H. Matzat. 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 Leah H. Matzat. The network helps show where Leah H. Matzat may publish in the future.

Co-authorship network of co-authors of Leah H. Matzat

This figure shows the co-authorship network connecting the top 25 collaborators of Leah H. Matzat. A scholar is included among the top collaborators of Leah H. Matzat 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 Leah H. Matzat. Leah H. Matzat 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

1.

McManus, Catherine E., et al.. (2021). Temporal inhibition of chromatin looping and enhancer accessibility during neuronal remodeling. Nature Communications. 12(1). 6366–6366. 7 indexed citations

2.

Chen, Dahong, et al.. (2019). Shep RNA-Binding Capacity Is Required for Antagonism ofgypsyChromatin Insulator Activity. G3 Genes Genomes Genetics. 9(3). 749–754. 5 indexed citations

3.

King, Matthew R., et al.. (2014). The RNA-binding protein Rumpelstiltskin antagonizes gypsy chromatin insulator function in a tissue-specific manner. Journal of Cell Science. 127(Pt 13). 2956–66. 20 indexed citations

4.

Dale, Ryan, Leah H. Matzat, & Elissa P. Lei. (2014). metaseq: a Python package for integrative genome-wide analysis reveals relationships between chromatin insulators and associated nuclear mRNA. Nucleic Acids Research. 42(14). 9158–9170. 21 indexed citations

5.

Matzat, Leah H., Ryan Dale, & Elissa P. Lei. (2013). Messenger RNA is a functional component of a chromatin insulator complex. EMBO Reports. 14(10). 916–922. 15 indexed citations

6.

Matzat, Leah H. & Elissa P. Lei. (2013). Surviving an identity crisis: A revised view of chromatin insulators in the genomics era. Biochimica et Biophysica Acta (BBA) - Gene Regulatory Mechanisms. 1839(3). 203–214. 37 indexed citations

7.

Matzat, Leah H., et al.. (2012). Tissue-Specific Regulation of Chromatin Insulator Function. PLoS Genetics. 8(11). e1003069–e1003069. 45 indexed citations

8.

Matzat, Leah H., et al.. (2007). Formation of a Tap/NXF1 Homotypic Complex Is Mediated through the Amino-Terminal Domain of Tap and Enhances Interaction with Nucleoporins. Molecular Biology of the Cell. 19(1). 327–338. 13 indexed citations

9.

Lévesque, Lyne, Yeou-Cherng Bor, Leah H. Matzat, et al.. (2005). Mutations in Tap Uncouple RNA Export Activity from Translocation through the Nuclear Pore Complex. Molecular Biology of the Cell. 17(2). 931–943. 19 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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