Marc Zuckermann

1.8k total citations
6 papers, 251 citations indexed

About

Marc Zuckermann is a scholar working on Molecular Biology, Cellular and Molecular Neuroscience and Genetics. According to data from OpenAlex, Marc Zuckermann has authored 6 papers receiving a total of 251 indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Molecular Biology, 1 paper in Cellular and Molecular Neuroscience and 1 paper in Genetics. Recurrent topics in Marc Zuckermann's work include CRISPR and Genetic Engineering (4 papers), Pluripotent Stem Cells Research (3 papers) and Single-cell and spatial transcriptomics (2 papers). Marc Zuckermann is often cited by papers focused on CRISPR and Genetic Engineering (4 papers), Pluripotent Stem Cells Research (3 papers) and Single-cell and spatial transcriptomics (2 papers). Marc Zuckermann collaborates with scholars based in Germany, United States and Austria. Marc Zuckermann's co-authors include Jan Gronych, Daisuke Kawauchi, Peter Lichter, Marc Zapatka, David Jones, Christiane B. Knobbe‐Thomsen, Jelena Belic, David A. Largaespada, Volker Hovestadt and Stefan M. Pfister and has published in prestigious journals such as Nature Communications, Cancer Research and Scientific Reports.

In The Last Decade

Marc Zuckermann

5 papers receiving 247 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Marc Zuckermann Germany 3 213 58 37 36 26 6 251
Sabina Sánchez-Hernández Spain 11 213 1.0× 69 1.2× 67 1.8× 18 0.5× 11 0.4× 15 272
Carmen Adriaens United States 5 446 2.1× 86 1.5× 32 0.9× 15 0.4× 49 1.9× 5 495
Ryan J. Marina United States 6 589 2.8× 66 1.1× 16 0.4× 35 1.0× 53 2.0× 7 626
Omer Habib South Korea 9 247 1.2× 65 1.1× 22 0.6× 13 0.4× 11 0.4× 16 290
David Yudovich Sweden 10 301 1.4× 56 1.0× 48 1.3× 32 0.9× 23 0.9× 13 403
Peter F. Renz Switzerland 6 197 0.9× 39 0.7× 20 0.5× 5 0.1× 30 1.2× 9 261
Emily M. King United States 4 304 1.4× 191 3.3× 28 0.8× 22 0.6× 6 0.2× 6 363
Pietro Lo Riso Italy 7 316 1.5× 160 2.8× 82 2.2× 14 0.4× 36 1.4× 9 389
Caren V. Lund United States 6 339 1.6× 60 1.0× 39 1.1× 22 0.6× 14 0.5× 8 396
Thomas Naert Belgium 10 201 0.9× 50 0.9× 15 0.4× 7 0.2× 13 0.5× 20 262

Countries citing papers authored by Marc Zuckermann

Since Specialization
Citations

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

Fields of papers citing papers by Marc Zuckermann

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Marc Zuckermann

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

All Works

6 of 6 papers shown
1.
Okonechnikov, Konstantin, Josephine Bageritz, Jan‐Philipp Mallm, et al.. (2025). A simplified preparation method for single-nucleus RNA-sequencing using long-term frozen brain tumor tissues. Scientific Reports. 15(1). 12849–12849. 1 indexed citations
2.
Sieber, Laura, Jesús García-López, Shiekh Tanveer Ahmad, et al.. (2024). Loss of Elp1 in cerebellar granule cell progenitors models ataxia phenotype of Familial Dysautonomia. Neurobiology of Disease. 199. 106600–106600.
3.
Zuckermann, Marc, Mario Hlevnjak, Marc Zapatka, et al.. (2018). A novel cloning strategy for one-step assembly of multiplex CRISPR vectors. Scientific Reports. 8(1). 17499–17499. 19 indexed citations
4.
Zuckermann, Marc, Daisuke Kawauchi, & Jan Gronych. (2016). Applications of the CRISPR/Cas9 system in murine cancer modeling. Briefings in Functional Genomics. 16(1). 25–33. 10 indexed citations
5.
Zuckermann, Marc, Volker Hovestadt, Christiane B. Knobbe‐Thomsen, et al.. (2015). Somatic CRISPR/Cas9-mediated tumour suppressor disruption enables versatile brain tumour modelling. Nature Communications. 6(1). 7391–7391. 220 indexed citations
6.
Zuckermann, Marc, Volker Hovestadt, Christiane B. Knobbe‐Thomsen, et al.. (2015). Abstract PR02: Somatic CRISPR/Cas9-mediated tumor suppressor disruption enables versatile brain tumor modeling. Cancer Research. 75(23_Supplement). PR02–PR02. 1 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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