Michael Kosicki

3.4k total citations · 1 hit paper
13 papers, 651 citations indexed

About

Michael Kosicki is a scholar working on Molecular Biology, Immunology and Genetics. According to data from OpenAlex, Michael Kosicki has authored 13 papers receiving a total of 651 indexed citations (citations by other indexed papers that have themselves been cited), including 12 papers in Molecular Biology, 3 papers in Immunology and 2 papers in Genetics. Recurrent topics in Michael Kosicki's work include CRISPR and Genetic Engineering (5 papers), Genomics and Chromatin Dynamics (4 papers) and Pluripotent Stem Cells Research (3 papers). Michael Kosicki is often cited by papers focused on CRISPR and Genetic Engineering (5 papers), Genomics and Chromatin Dynamics (4 papers) and Pluripotent Stem Cells Research (3 papers). Michael Kosicki collaborates with scholars based in United States, United Kingdom and Denmark. Michael Kosicki's co-authors include Felicity Allen, Emmanouil Metzakopian, Luca Crepaldi, Allan Bradley, Leopold Parts, Pietro De Angeli, Francisco Muñoz‐Martínez, Andrew Bassett, Heather P. Harding and Petra Páleníková and has published in prestigious journals such as Nature, Nucleic Acids Research and Nature Medicine.

In The Last Decade

Michael Kosicki

12 papers receiving 643 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.

Predicting the mutations generated by repair of Cas9-induced double-strand breaks

2018 348 citations Felicity Allen, Luca Crepaldi et al. Nature Biotechnology profile →

Peers

Michael Kosicki

MB

GENET

IMMUN

ONCOL

BIM

Meizhu Bai China

Hiroko Koike-Yusa United Kingdom

Ryan J. Cecchi United States

King L. Hung United States

Florence M. Chardon United States

Ya-Wen Fu China

Emma Haapaniemi Finland

Rene H. Quintanilla United States

Stamatis Papathanasiou United States

Daniel Capurso United States

Meizhu Bai China

Michael Kosicki

603 ×1.2

MB

174 ×1.4

GENET

87 ×0.9

IMMUN

84 ×1.3

ONCOL

74 ×1.2

BIM

Citations per year, relative to Michael Kosicki Michael Kosicki (= 1×) peers Meizhu Bai

Countries citing papers authored by Michael Kosicki

Since Specialization

Citations

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

Fields of papers citing papers by Michael Kosicki

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Michael Kosicki

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

All Works

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13 of 13 papers shown

1.

Goudy, Laine, et al.. (2026). Scalable probe-based single-cell transcriptional profiling for virtual cell perturbation mapping and synthetic biology phenotyping. bioRxiv (Cold Spring Harbor Laboratory).

2.

Kosicki, Michael, Dianne Laboy Cintrón, Max Schubach, et al.. (2025). Massively parallel reporter assays and mouse transgenic assays provide correlated and complementary information about neuronal enhancer activity. Nature Communications. 16(1). 4786–4786. 4 indexed citations

3.

Kosicki, Michael, Vivian Hecht, Anusri Pampari, et al.. (2025). In vivo mapping of mutagenesis sensitivity of human enhancers. Nature. 643(8072). 839–846. 2 indexed citations

4.

Kosicki, Michael, Fotis A. Baltoumas, Guy Kelman, et al.. (2024). VISTA Enhancer browser: an updated database of tissue-specific developmental enhancers. Nucleic Acids Research. 53(D1). D324–D330. 10 indexed citations

5.

Girling, Gareth, Luca Crepaldi, Ivan Kuzmin, et al.. (2024). The interplay of DNA repair context with target sequence predictably biases Cas9-generated mutations. Nature Communications. 15(1). 10271–10271. 3 indexed citations

6.

Darbellay, Fabrice, Anna Ramisch, Lucille Lopez‐Delisle, et al.. (2024). Pre-hypertrophic chondrogenic enhancer landscape of limb and axial skeleton development. Nature Communications. 15(1). 4820–4820. 5 indexed citations

7.

Shin, Taehwan, Janet Song, Michael Kosicki, et al.. (2024). Rare variation in non-coding regions with evolutionary signatures contributes to autism spectrum disorder risk. Cell Genomics. 4(8). 100609–100609. 9 indexed citations

8.

Kosicki, Michael, et al.. (2022). Cas9-induced large deletions and small indels are controlled in a convergent fashion. Nature Communications. 13(1). 3422–3422. 57 indexed citations

9.

Allen, Felicity, Luca Crepaldi, Clara Alsinet, et al.. (2018). Predicting the mutations generated by repair of Cas9-induced double-strand breaks. Nature Biotechnology. 37(1). 64–72. 348 indexed citations breakdown →

10.

Egli, Dieter, Michael V. Zuccaro, Michael Kosicki, et al.. (2018). Inter-homologue repair in fertilized human eggs?. Nature. 560(7717). E5–E7. 66 indexed citations

11.

Kosicki, Michael, et al.. (2017). Dynamics of Indel Profiles Induced by Various CRISPR/Cas9 Delivery Methods. Progress in molecular biology and translational science. 152. 49–67. 24 indexed citations

12.

Liu, Yawei, R. Carlsson, Manuel Comabella, et al.. (2014). FoxA1 directs the lineage and immunosuppressive properties of a novel regulatory T cell population in EAE and MS. Nature Medicine. 20(3). 272–282. 122 indexed citations

13.

Rasmussen, Susanne, et al.. (2013). <i>In vitro</i> activity and function of B7-H4-Ig fusion protein. Research at the University of Copenhagen (University of Copenhagen). 3(1). 24–32. 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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