Pernille Yde Rainer

806 total citations · 1 hit paper
6 papers, 343 citations indexed

About

Pernille Yde Rainer is a scholar working on Molecular Biology, Epidemiology and Physiology. According to data from OpenAlex, Pernille Yde Rainer has authored 6 papers receiving a total of 343 indexed citations (citations by other indexed papers that have themselves been cited), including 4 papers in Molecular Biology, 2 papers in Epidemiology and 2 papers in Physiology. Recurrent topics in Pernille Yde Rainer's work include Adipokines, Inflammation, and Metabolic Diseases (2 papers), Single-cell and spatial transcriptomics (2 papers) and RNA Research and Splicing (2 papers). Pernille Yde Rainer is often cited by papers focused on Adipokines, Inflammation, and Metabolic Diseases (2 papers), Single-cell and spatial transcriptomics (2 papers) and RNA Research and Splicing (2 papers). Pernille Yde Rainer collaborates with scholars based in Switzerland, China and United Kingdom. Pernille Yde Rainer's co-authors include Bart Deplancke, Riccardo Dainese, Magda Zachara, Julia A. Vorholt, Orane Guillaume‐Gentil, Wanze Chen, Christoph G. Gäbelein, Vincent Gardeux, Tomaso Zambelli and Wouter Saelens and has published in prestigious journals such as Nature, Nature Genetics and The EMBO Journal.

In The Last Decade

Pernille Yde Rainer

5 papers receiving 343 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.

Live-seq enables temporal transcriptomic recording of single cells

2022 155 citations Wanze Chen, Orane Guillaume‐Gentil et al. Nature profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Pernille Yde Rainer Switzerland	5	228	66	55	47	32	6	343
David W. McKellar United States	7	319 1.4×	47 0.7×	25 0.5×	40 0.9×	50 1.6×	10	401
Madhav Mantri United States	7	307 1.3×	41 0.6×	22 0.4×	42 0.9×	53 1.7×	11	387
Alexandra Surcel United States	10	206 0.9×	59 0.9×	32 0.6×	64 1.4×	36 1.1×	11	424
Hoa Truong United States	4	122 0.5×	98 1.5×	76 1.4×	27 0.6×	13 0.4×	8	288
Congying Wu China	7	183 0.8×	104 1.6×	19 0.3×	49 1.0×	22 0.7×	16	352
Rachel Cohn United States	5	177 0.8×	95 1.4×	26 0.5×	48 1.0×	17 0.5×	7	315
Jan Gleixner Germany	5	236 1.0×	16 0.2×	17 0.3×	61 1.3×	30 0.9×	6	321
Gina P. Kwon United States	7	143 0.6×	15 0.2×	36 0.7×	37 0.8×	16 0.5×	11	283
Rebecca Sereda United States	6	141 0.6×	44 0.7×	33 0.6×	28 0.6×	10 0.3×	7	230
Chinky Shiu Chen Liu India	8	155 0.7×	145 2.2×	63 1.1×	172 3.7×	70 2.2×	16	430

Countries citing papers authored by Pernille Yde Rainer

Since Specialization

Citations

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

Fields of papers citing papers by Pernille Yde Rainer

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Pernille Yde Rainer. 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 Pernille Yde Rainer. The network helps show where Pernille Yde Rainer may publish in the future.

Co-authorship network of co-authors of Pernille Yde Rainer

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

All Works

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6 of 6 papers shown

1.

Liu, Wangjie, Wouter Saelens, Pernille Yde Rainer, et al.. (2025). Dissecting the impact of transcription factor dose on cell reprogramming heterogeneity using scTF-seq. Nature Genetics. 57(10). 2522–2535.

2.

Rainer, Pernille Yde, Julie Russeil, Magda Zachara, et al.. (2024). A human omentum-specific mesothelial-like stromal population inhibits adipogenesis through IGFBP2 secretion. Cell Metabolism. 36(7). 1566–1585.e9. 9 indexed citations

3.

Chen, Wanze, Orane Guillaume‐Gentil, Pernille Yde Rainer, et al.. (2022). Live-seq enables temporal transcriptomic recording of single cells. Nature. 608(7924). 733–740. 155 indexed citations breakdown →

4.

Zachara, Magda, Pernille Yde Rainer, Julie Russeil, et al.. (2022). Mammalian adipogenesis regulator (Areg) cells use retinoic acid signalling to be non‐ and anti‐adipogenic in age‐dependent manner. The EMBO Journal. 41(18). e108206–e108206. 19 indexed citations

5.

Rainer, Pernille Yde, et al.. (2020). Toward a Consensus View of Mammalian Adipocyte Stem and Progenitor Cell Heterogeneity. Trends in Cell Biology. 30(12). 937–950. 83 indexed citations

6.

Isakova, Alina, Romain Groux, Michaël Imbeault, et al.. (2017). SMiLE-seq identifies binding motifs of single and dimeric transcription factors. Nature Methods. 14(3). 316–322. 77 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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