Daniel Alpern

1.9k total citations · 1 hit paper
15 papers, 981 citations indexed

About

Daniel Alpern is a scholar working on Molecular Biology, Epidemiology and Physiology. According to data from OpenAlex, Daniel Alpern has authored 15 papers receiving a total of 981 indexed citations (citations by other indexed papers that have themselves been cited), including 12 papers in Molecular Biology, 3 papers in Epidemiology and 3 papers in Physiology. Recurrent topics in Daniel Alpern's work include Genomics and Chromatin Dynamics (6 papers), Adipose Tissue and Metabolism (3 papers) and RNA modifications and cancer (3 papers). Daniel Alpern is often cited by papers focused on Genomics and Chromatin Dynamics (6 papers), Adipose Tissue and Metabolism (3 papers) and RNA modifications and cancer (3 papers). Daniel Alpern collaborates with scholars based in Switzerland, France and United Kingdom. Daniel Alpern's co-authors include Bart Deplancke, Vincent Gardeux, Julie Russeil, Magda Zachara, Petra Schwalie, Wenfei Sun, Gianni Soldati, Christian Wolfrum, Hua Dong and Christian Caprara and has published in prestigious journals such as Nature, Cell and Proceedings of the National Academy of Sciences.

In The Last Decade

Daniel Alpern

15 papers receiving 976 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.

A stromal cell population that inhibits adipogenesis in mammalian fat depots

2018 330 citations Petra Schwalie, Hua Dong 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
Daniel Alpern Switzerland	11	598	278	209	126	110	15	981
Julie Russeil Switzerland	11	329 0.6×	296 1.1×	215 1.0×	45 0.4×	92 0.8×	16	707
Marco Crimi Italy	18	930 1.6×	96 0.3×	144 0.7×	138 1.1×	45 0.4×	33	1.3k
Vishram Kedar United States	12	1.1k 1.9×	128 0.5×	185 0.9×	71 0.6×	66 0.6×	16	1.4k
Paolo Scudieri Italy	20	575 1.0×	175 0.6×	67 0.3×	61 0.5×	50 0.5×	41	1.0k
Shaoping Xie United Kingdom	17	874 1.5×	282 1.0×	100 0.5×	229 1.8×	206 1.9×	20	1.4k
Melanie Müller Germany	14	388 0.6×	231 0.8×	55 0.3×	43 0.3×	67 0.6×	28	858
Chenyi Xue United States	22	634 1.1×	185 0.7×	117 0.6×	81 0.6×	242 2.2×	44	1.2k
Jesús Garcı́a United States	17	611 1.0×	128 0.5×	158 0.8×	62 0.5×	21 0.2×	29	963
Liam C. Hunt United States	17	415 0.7×	158 0.6×	73 0.3×	47 0.4×	33 0.3×	25	588
Makoto Kunishige Japan	17	447 0.7×	119 0.4×	181 0.9×	51 0.4×	31 0.3×	38	820

Countries citing papers authored by Daniel Alpern

Since Specialization

Citations

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

Fields of papers citing papers by Daniel Alpern

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Daniel Alpern

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

All Works

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15 of 15 papers shown

Alpern, Daniel, Vincent Gardeux, Julie Russeil, et al.. (2025). Transcriptomic profiling of murine GnRH neurons reveals developmental trajectories linked to human reproduction and infertility. Theranostics. 15(8). 3673–3692. 1 indexed citations

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

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

Marraco, Silvia A. Fuertes, Daniel Alpern, Sébastien Lofek, et al.. (2021). Shared acute phase traits in effector and memory human CD8 T cells. SHILAP Revista de lepidopterología. 3. 1–12. 2 indexed citations

Kaya-Çopur, Aynur, Marco Y. Hein, Daniel Alpern, et al.. (2021). The Hippo pathway controls myofibril assembly and muscle fiber growth by regulating sarcomeric gene expression. eLife. 10. 32 indexed citations

Dainese, Riccardo, et al.. (2020). A parallelized, automated platform enabling individual or sequential ChIP of histone marks and transcription factors. Proceedings of the National Academy of Sciences. 117(24). 13828–13838. 8 indexed citations

Weger, Meltem, Daniel Alpern, Antoine Cherix, et al.. (2020). Mitochondrial gene signature in the prefrontal cortex for differential susceptibility to chronic stress. Scientific Reports. 10(1). 18308–18308. 50 indexed citations

Alpern, Daniel, Vincent Gardeux, Julie Russeil, et al.. (2019). BRB-seq: ultra-affordable high-throughput transcriptomics enabled by bulk RNA barcoding and sequencing. Genome biology. 20(1). 71–71. 121 indexed citations

Schwalie, Petra, Hua Dong, Magda Zachara, et al.. (2018). A stromal cell population that inhibits adipogenesis in mammalian fat depots. Nature. 559(7712). 103–108. 330 indexed citations breakdown →

10.

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

11.

Pradhan, Rachana, Vincent Gardeux, Petra Schwalie, et al.. (2017). Dissecting the brown adipogenic regulatory network using integrative genomics. Scientific Reports. 7(1). 42130–42130. 17 indexed citations

12.

Langer, Diana, Igor Martianov, Daniel Alpern, et al.. (2016). Essential role of the TFIID subunit TAF4 in murine embryogenesis and embryonic stem cell differentiation. Nature Communications. 7(1). 11063–11063. 18 indexed citations

13.

Deplancke, Bart, Daniel Alpern, & Vincent Gardeux. (2016). The Genetics of Transcription Factor DNA Binding Variation. Cell. 166(3). 538–554. 263 indexed citations

14.

Alpern, Daniel, Diana Langer, Benoît Ballester, et al.. (2014). TAF4, a subunit of transcription factor II D, directs promoter occupancy of nuclear receptor HNF4A during post-natal hepatocyte differentiation. eLife. 3. e03613–e03613. 24 indexed citations

15.

Лазаревич, Н. Л. & Daniel Alpern. (2008). Hepatocyte nuclear factor 4 in epithelial development and carcinogenesis. Molecular Biology. 42(5). 699–709. 10 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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