Stephan Riesenberg

1.4k total citations · 1 hit paper
16 papers, 764 citations indexed

About

Stephan Riesenberg is a scholar working on Molecular Biology, Infectious Diseases and Cell Biology. According to data from OpenAlex, Stephan Riesenberg has authored 16 papers receiving a total of 764 indexed citations (citations by other indexed papers that have themselves been cited), including 13 papers in Molecular Biology, 2 papers in Infectious Diseases and 2 papers in Cell Biology. Recurrent topics in Stephan Riesenberg's work include CRISPR and Genetic Engineering (8 papers), Advanced biosensing and bioanalysis techniques (3 papers) and Pluripotent Stem Cells Research (2 papers). Stephan Riesenberg is often cited by papers focused on CRISPR and Genetic Engineering (8 papers), Advanced biosensing and bioanalysis techniques (3 papers) and Pluripotent Stem Cells Research (2 papers). Stephan Riesenberg collaborates with scholars based in Germany, Japan and New Zealand. Stephan Riesenberg's co-authors include Tomislav Maričić, Svante Pääbo, Philipp Kanis, J. Gray Camp, Matthias Meyer, Małgorzata Santel, Stephan Borte, Barbara Treutlein, Manjusha Chintalapati and Fátima Sanchís-Calleja and has published in prestigious journals such as Science, Nucleic Acids Research and Nature Medicine.

In The Last Decade

Stephan Riesenberg

14 papers receiving 755 citations

Hit Papers

align trajectories

What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

Human TKTL1 implies greater neurogenesis in frontal neocortex of modern humans than Neanderthals

2022 76 citations Anneline Pinson, Lei Xing et al. Science profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Stephan Riesenberg Germany	10	625	140	111	76	73	16	764
G. Cederquist United States	11	619 1.0×	162 1.2×	119 1.1×	49 0.6×	146 2.0×	27	1.0k
Ole Wiskow United States	7	638 1.0×	130 0.9×	60 0.5×	101 1.3×	129 1.8×	9	1.1k
Tian Lu China	9	838 1.3×	64 0.5×	102 0.9×	17 0.2×	49 0.7×	17	1.0k
Alexandre D. Baffet France	13	373 0.6×	33 0.2×	57 0.5×	45 0.6×	68 0.9×	18	591
Libing Shen China	12	347 0.6×	84 0.6×	49 0.4×	72 0.9×	58 0.8×	25	603
Connie Fan United States	2	523 0.8×	38 0.3×	131 1.2×	15 0.2×	19 0.3×	3	694
Marek Pacal Canada	12	493 0.8×	50 0.4×	58 0.5×	24 0.3×	33 0.5×	19	689
Sandra Acosta Spain	12	307 0.5×	28 0.2×	84 0.8×	26 0.3×	87 1.2×	21	482
Laëtitia Aubry France	11	518 0.8×	61 0.4×	64 0.6×	69 0.9×	143 2.0×	16	751
Diderik Tirefort Switzerland	13	341 0.5×	89 0.6×	63 0.6×	19 0.3×	81 1.1×	16	496

Countries citing papers authored by Stephan Riesenberg

Since Specialization

Citations

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

Fields of papers citing papers by Stephan Riesenberg

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Stephan Riesenberg

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

All Works

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16 of 16 papers shown

Matteo, Francesco Di, Veronica M. Pravatà, Rossella Di Giaimo, et al.. (2025). Neuronal hyperactivity in neurons derived from individuals with gray matter heterotopia. Nature Communications. 16(1). 1737–1737. 1 indexed citations

Riesenberg, Stephan, Philipp Kanis, Rosa Karlić, & Tomislav Maričić. (2025). Robust prediction of synthetic gRNA activity and cryptic DNA repair by disentangling cellular CRISPR cleavage outcomes. Nature Communications. 16(1). 4717–4717.

Kanis, Philipp, et al.. (2025). Repurposing clinically safe drugs for DNA repair pathway choice in CRISPR genome editing and synthetic lethality. Nature Communications. 16(1). 11077–11077.

Riesenberg, Stephan, et al.. (2023). Efficient high-precision homology-directed repair-dependent genome editing by HDRobust. Nature Methods. 20(9). 1388–1399. 46 indexed citations

Pääbo, Svante, et al.. (2023). Detection of unintended on-target effects in CRISPR genome editing by DNA donors carrying diagnostic substitutions. Nucleic Acids Research. 51(5). e26–e26. 6 indexed citations

Pinson, Anneline, Lei Xing, Takashi Namba, et al.. (2022). Human TKTL1 implies greater neurogenesis in frontal neocortex of modern humans than Neanderthals. Science. 377(6611). eabl6422–eabl6422. 76 indexed citations breakdown →

Mora‐Bermúdez, Felipe, Philipp Kanis, Jula Peters, et al.. (2022). Longer metaphase and fewer chromosome segregation errors in modern human than Neanderthal brain development. Science Advances. 8(30). eabn7702–eabn7702. 30 indexed citations

Riesenberg, Stephan, et al.. (2022). Improved gRNA secondary structures allow editing of target sites resistant to CRISPR-Cas9 cleavage. Nature Communications. 13(1). 489–489. 58 indexed citations

Maričić, Tomislav, et al.. (2021). Point-of-care bulk testing for SARS-CoV-2 by combining hybridization capture with improved colorimetric LAMP. Nature Communications. 12(1). 1467–1467. 92 indexed citations

10.

He, Zhisong, Ashley Maynard, Akanksha Jain, et al.. (2021). Lineage recording in human cerebral organoids. Nature Methods. 19(1). 90–99. 116 indexed citations

11.

Maričić, Tomislav, Ayinuer Aximu‐Petri, Elena Essel, et al.. (2020). A direct RT-qPCR approach to test large numbers of individuals for SARS-CoV-2. PLoS ONE. 15(12). e0244824–e0244824. 11 indexed citations

12.

Riesenberg, Stephan. (2020). Methods to increase the efficiency of precise CRISPR genome editing. Qucosa (Saxon State and University Library Dresden). 1 indexed citations

13.

Riesenberg, Stephan, et al.. (2019). Simultaneous precise editing of multiple genes in human cells. Nucleic Acids Research. 47(19). e116–e116. 80 indexed citations

14.

Kanton, Sabina, Christina Kyrousi, Rossella Di Giaimo, et al.. (2019). Altered neuronal migratory trajectories in human cerebral organoids derived from individuals with neuronal heterotopia. Nature Medicine. 25(4). 561–568. 113 indexed citations

15.

Kofoed, Christian, et al.. (2019). Semisynthesis of an Active Enzyme by Quantitative Click Ligation. Bioconjugate Chemistry. 30(4). 1169–1174. 9 indexed citations

16.

Riesenberg, Stephan & Tomislav Maričić. (2018). Targeting repair pathways with small molecules increases precise genome editing in pluripotent stem cells. Nature Communications. 9(1). 2164–2164. 125 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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