Jolanta Szulc

1.6k total citations
8 papers, 1.3k citations indexed

About

Jolanta Szulc is a scholar working on Molecular Biology, Genetics and Genetics. According to data from OpenAlex, Jolanta Szulc has authored 8 papers receiving a total of 1.3k indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Molecular Biology, 4 papers in Genetics and 1 paper in Genetics. Recurrent topics in Jolanta Szulc's work include RNA Interference and Gene Delivery (5 papers), Virus-based gene therapy research (4 papers) and CRISPR and Genetic Engineering (3 papers). Jolanta Szulc is often cited by papers focused on RNA Interference and Gene Delivery (5 papers), Virus-based gene therapy research (4 papers) and CRISPR and Genetic Engineering (3 papers). Jolanta Szulc collaborates with scholars based in Switzerland, France and Germany. Jolanta Szulc's co-authors include Patrick Aebischer, Maciej Wiznerowicz, Didier Trono, Friedrich Beermann, Cédric Raoul, Christopher E. Henderson, Georg Haase, Jean‐Charles Bensadoun, Toufik Abbas‐Terki and Johan Jakobsson and has published in prestigious journals such as Journal of Biological Chemistry, Nature Medicine and Nature Methods.

In The Last Decade

Jolanta Szulc

8 papers receiving 1.3k citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Jolanta Szulc Switzerland	8	993	420	168	151	145	8	1.3k
Vasanta Subramanian United Kingdom	18	813 0.8×	304 0.7×	260 1.5×	90 0.6×	166 1.1×	37	1.3k
Johanna Goldmann United States	8	1.5k 1.5×	265 0.6×	147 0.9×	131 0.9×	55 0.4×	10	1.7k
Kehkooi Kee China	23	2.0k 2.0×	515 1.2×	184 1.1×	253 1.7×	64 0.4×	45	2.5k
Tomonori Nakamura Japan	27	2.6k 2.6×	677 1.6×	108 0.6×	255 1.7×	94 0.6×	62	3.2k
Kevin J. Kim United States	12	850 0.9×	160 0.4×	118 0.7×	226 1.5×	114 0.8×	16	1.2k
Curtis M. Chan United States	7	990 1.0×	717 1.7×	121 0.7×	219 1.5×	353 2.4×	10	1.5k
Sara Benedetti Italy	21	912 0.9×	340 0.8×	90 0.5×	232 1.5×	244 1.7×	54	1.5k
Wojciech Wiszniewski United States	18	509 0.5×	320 0.8×	119 0.7×	343 2.3×	77 0.5×	42	1.1k
Takao Honda Japan	15	510 0.5×	372 0.9×	109 0.6×	308 2.0×	75 0.5×	24	1.1k
Rui Jorge Nobre Portugal	18	785 0.8×	118 0.3×	97 0.6×	286 1.9×	68 0.5×	33	1.1k

Countries citing papers authored by Jolanta Szulc

Since Specialization

Citations

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

Fields of papers citing papers by Jolanta Szulc

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Jolanta Szulc

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

All Works

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8 of 8 papers shown

1.

Szulc, Jolanta & Patrick Aebischer. (2008). Conditional Gene Expression and Knockdown Using Lentivirus Vectors Encoding shRNA. Humana Press eBooks. 434. 291–300. 30 indexed citations

2.

Capowski, Elizabeth E., Bernard L. Schneider, Allison D. Ebert, et al.. (2007). Lentiviral vector-mediated genetic modification of human neural progenitor cells for ex vivo gene therapy. Journal of Neuroscience Methods. 163(2). 338–349. 65 indexed citations

3.

Wiznerowicz, Maciej, Johan Jakobsson, Jolanta Szulc, et al.. (2007). The Krüppel-associated Box Repressor Domain Can Trigger de Novo Promoter Methylation during Mouse Early Embryogenesis. Journal of Biological Chemistry. 282(47). 34535–34541. 95 indexed citations

4.

Bauer, Matthias, Jolanta Szulc, Morten Meyer, et al.. (2007). Delta‐like 1 participates in the specification of ventral midbrain progenitor derived dopaminergic neurons. Journal of Neurochemistry. 104(4). 1101–1115. 42 indexed citations

5.

Szulc, Jolanta, et al.. (2006). A versatile tool for conditional gene expression and knockdown. Nature Methods. 3(2). 109–116. 296 indexed citations

6.

Wiznerowicz, Maciej, Jolanta Szulc, & Didier Trono. (2006). Tuning silence: conditional systems for RNA interference. Nature Methods. 3(9). 682–688. 94 indexed citations

7.

Szulc, Jolanta, Maciej Wiznerowicz, Friedrich Beermann, Didier Trono, & Patrick Aebischer. (2006). 326. A Versatile Tool for Conditional Gene Expression and Knockdown. Molecular Therapy. 13(2). S124–S124. 299 indexed citations

8.

Raoul, Cédric, Toufik Abbas‐Terki, Jean‐Charles Bensadoun, et al.. (2005). Lentiviral-mediated silencing of SOD1 through RNA interference retards disease onset and progression in a mouse model of ALS. Nature Medicine. 11(4). 423–428. 359 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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