Anna Danese

1.8k total citations · 1 hit paper
8 papers, 690 citations indexed

About

Anna Danese is a scholar working on Molecular Biology, Epidemiology and Immunology. According to data from OpenAlex, Anna Danese has authored 8 papers receiving a total of 690 indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Molecular Biology, 2 papers in Epidemiology and 2 papers in Immunology. Recurrent topics in Anna Danese's work include Single-cell and spatial transcriptomics (5 papers), CRISPR and Genetic Engineering (2 papers) and Epigenetics and DNA Methylation (2 papers). Anna Danese is often cited by papers focused on Single-cell and spatial transcriptomics (5 papers), CRISPR and Genetic Engineering (2 papers) and Epigenetics and DNA Methylation (2 papers). Anna Danese collaborates with scholars based in Germany, United Kingdom and United States. Anna Danese's co-authors include Maria Colomé‐Tatché, Fabian J. Theis, Kridsadakorn Chaichoompu, Malte D. Luecken, Martin Dugas, Daniel Strobl, Luke Zappia, Maren Büttner, Martin Mueller and Marta Interlandi and has published in prestigious journals such as Nucleic Acids Research, Nature Communications and Nature Neuroscience.

In The Last Decade

Anna Danese

7 papers receiving 686 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.

Benchmarking atlas-level data integration in single-cell genomics

2021 544 citations Malte D. Luecken, Maren Büttner et al. Nature Methods profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Anna Danese Germany	5	593	163	120	114	32	8	690
Helena L. Crowell Switzerland	8	394 0.7×	96 0.6×	77 0.6×	160 1.4×	66 2.1×	11	568
Giovanni Palla Germany	7	645 1.1×	136 0.8×	87 0.7×	159 1.4×	58 1.8×	10	765
Lambda Moses United States	2	479 0.8×	81 0.5×	89 0.7×	111 1.0×	40 1.3×	2	554
Sophia Müller‐Dott Germany	6	402 0.7×	36 0.2×	72 0.6×	126 1.1×	66 2.1×	9	625
Vince Carey United States	3	397 0.7×	66 0.4×	104 0.9×	101 0.9×	42 1.3×	4	512
Rasa Elmentaite United Kingdom	6	601 1.0×	96 0.6×	127 1.1×	233 2.0×	108 3.4×	7	790
Vitalii Kleshchevnikov United Kingdom	3	761 1.3×	76 0.5×	90 0.8×	160 1.4×	64 2.0×	4	854
Hang Xu China	9	460 0.8×	45 0.3×	108 0.9×	56 0.5×	20 0.6×	19	629
Artem Lomakin Germany	3	482 0.8×	80 0.5×	127 1.1×	175 1.5×	94 2.9×	3	606
Veronika R. Kedlian United Kingdom	3	456 0.8×	74 0.5×	92 0.8×	159 1.4×	51 1.6×	5	537

Countries citing papers authored by Anna Danese

Since Specialization

Citations

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

Fields of papers citing papers by Anna Danese

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Anna Danese

This figure shows the co-authorship network connecting the top 25 collaborators of Anna Danese. A scholar is included among the top collaborators of Anna Danese 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 Anna Danese. Anna Danese 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.

Schmidt, Tara, Anna Danese, Andrea M. Neuner, et al.. (2025). Efficient DNA- and virus-free engineering of cellular transcriptomic states using dCas9 ribonucleoprotein (dRNP) complexes. Nucleic Acids Research. 53(6). 1 indexed citations

2.

Danese, Anna, Raúl O. Cosentino, Stefan H. Stricker, et al.. (2024). SLAM-seq reveals independent contributions of RNA processing and stability to gene expression in African trypanosomes. Nucleic Acids Research. 53(3). 7 indexed citations

3.

Masserdotti, Giacomo, Tatiana Simon, Tamás Schauer, et al.. (2024). Direct neuronal reprogramming of mouse astrocytes is associated with multiscale epigenome remodeling and requires Yy1. Nature Neuroscience. 27(7). 1260–1273. 14 indexed citations

4.

Iturbide, Ane, Richard C. V. Tyser, Anna Danese, et al.. (2023). CIARA: a cluster-independent algorithm for identifying markers of rare cell types from single-cell sequencing data. Development. 150(11). 4 indexed citations

5.

Danese, Anna, Paul Kerbs, Johannes Bagnoli, et al.. (2023). CSF3R T618I Collaborates With RUNX1-RUNX1T1 to Expand Hematopoietic Progenitors and Sensitizes to GLI Inhibition. HemaSphere. 7(10). e958–e958.

6.

Danese, Anna, et al.. (2021). EpiScanpy: integrated single-cell epigenomic analysis. Nature Communications. 12(1). 5228–5228. 73 indexed citations

7.

Luecken, Malte D., Maren Büttner, Kridsadakorn Chaichoompu, et al.. (2021). Benchmarking atlas-level data integration in single-cell genomics. Nature Methods. 19(1). 41–50. 544 indexed citations breakdown →

8.

Yin, Kelvin, Anna Danese, Paul Coupland, et al.. (2021). Single-nucleus RNA-seq2 reveals functional crosstalk between liver zonation and ploidy. Nature Communications. 12(1). 4264–4264. 47 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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