Daniel Poppe

3.7k total citations · 3 hit papers
13 papers, 1.9k citations indexed

About

Daniel Poppe is a scholar working on Molecular Biology, Cellular and Molecular Neuroscience and Neurology. According to data from OpenAlex, Daniel Poppe has authored 13 papers receiving a total of 1.9k indexed citations (citations by other indexed papers that have themselves been cited), including 12 papers in Molecular Biology, 3 papers in Cellular and Molecular Neuroscience and 2 papers in Neurology. Recurrent topics in Daniel Poppe's work include Pluripotent Stem Cells Research (5 papers), Single-cell and spatial transcriptomics (4 papers) and CRISPR and Genetic Engineering (4 papers). Daniel Poppe is often cited by papers focused on Pluripotent Stem Cells Research (5 papers), Single-cell and spatial transcriptomics (4 papers) and CRISPR and Genetic Engineering (4 papers). Daniel Poppe collaborates with scholars based in Australia, United States and Germany. Daniel Poppe's co-authors include Ryan Lister, Rebecca K. Simmons, John F. Ouyang, Owen J. L. Rackham, José M. Polo, Guizhi Sun, Jahnvi Pflueger, Sam Buckberry, Jérôme Mertens and Philipp Koch and has published in prestigious journals such as Nature, Nucleic Acids Research and Nature Communications.

In The Last Decade

Daniel Poppe

13 papers receiving 1.9k citations

Hit Papers

A single-cell atlas of entorhinal cortex from individuals... 2019 2026 2021 2023 2019 2020 2021 100 200 300 400 500
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.

  1. A single-cell atlas of entorhinal cortex from individuals with Alzheimer’s disease reveals cell-type-specific gene expression regulation
    2019 555 citations Alexandra Grubman, Gabriel Chew et al. Nature Neuroscience profile →
  2. Systematic assessment of tissue dissociation and storage biases in single-cell and single-nucleus RNA-seq workflows
    2020 353 citations Elena Denisenko, Belinda B. Guo et al. Genome biology profile →
  3. Modelling human blastocysts by reprogramming fibroblasts into iBlastoids
    2021 240 citations Xiaodong Liu, Jia Ping Tan et al. Nature profile →

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Daniel Poppe Australia 11 1.4k 363 341 332 210 13 1.9k
Derek H. Oakley United States 14 1.8k 1.3× 316 0.9× 378 1.1× 568 1.7× 146 0.7× 35 2.5k
Kory R. Johnson United States 23 1.1k 0.8× 292 0.8× 282 0.8× 161 0.5× 216 1.0× 52 1.8k
Matthew Zimmer United States 19 1.2k 0.9× 345 1.0× 311 0.9× 262 0.8× 183 0.9× 31 1.9k
Galina Erikson United States 15 759 0.5× 372 1.0× 220 0.6× 234 0.7× 121 0.6× 23 1.4k
Kristopher L. Nazor United States 17 1.9k 1.4× 128 0.4× 335 1.0× 489 1.5× 146 0.7× 23 2.5k
Mark E. Hester United States 20 1.1k 0.7× 308 0.8× 390 1.1× 241 0.7× 63 0.3× 32 1.9k
Christopher J. Donnelly United States 23 2.3k 1.6× 313 0.9× 803 2.4× 252 0.8× 77 0.4× 35 3.4k
Devin Chandler-Militello United States 16 1.3k 0.9× 245 0.7× 486 1.4× 174 0.5× 88 0.4× 22 1.9k
Lukasz Swiech Poland 14 1.3k 0.9× 184 0.5× 389 1.1× 177 0.5× 171 0.8× 17 1.9k
Keren Ben‐Yaakov Israel 13 927 0.6× 293 0.8× 765 2.2× 187 0.6× 157 0.7× 17 1.7k

Countries citing papers authored by Daniel Poppe

Since Specialization
Citations

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

Fields of papers citing papers by Daniel Poppe

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Daniel Poppe

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

All Works

13 of 13 papers shown
1.
Swain, Tessa, Christian Pflueger, Saskia Freytag, et al.. (2023). A modular dCas9-based recruitment platform for combinatorial epigenome editing. Nucleic Acids Research. 52(1). 474–491. 14 indexed citations
2.
Martin, Sally, Daniel Poppe, Nelly Olova, et al.. (2023). Embryonic Stem Cell-Derived Neurons as a Model System for Epigenome Maturation during Development. Genes. 14(5). 957–957. 3 indexed citations
3.
Sutton, Gavin J, Daniel Poppe, Rebecca K. Simmons, et al.. (2022). Comprehensive evaluation of deconvolution methods for human brain gene expression. Nature Communications. 13(1). 1358–1358. 59 indexed citations
4.
Mendoza, Alex de, Trung Viet Nguyen, Ethan Ford, et al.. (2022). Large-scale manipulation of promoter DNA methylation reveals context-specific transcriptional responses and stability. Genome biology. 23(1). 163–163. 64 indexed citations
5.
Liu, Xiaodong, Jia Ping Tan, Jan Schröder, et al.. (2021). Modelling human blastocysts by reprogramming fibroblasts into iBlastoids. Nature. 591(7851). 627–632. 240 indexed citations breakdown →
6.
Mendoza, Alex de, Daniel Poppe, Sam Buckberry, et al.. (2021). The emergence of the brain non-CpG methylation system in vertebrates. Nature Ecology & Evolution. 5(3). 369–378. 64 indexed citations
7.
Grubman, Alexandra, Gabriel Chew, Guizhi Sun, et al.. (2021). A single-cell atlas of entorhinal cortex from individuals with Alzheimer's disease reveals cell-type-specific gene expression regulation. UWA Profiles and Research Repository (University of Western Australia). 1 indexed citations
8.
Denisenko, Elena, Belinda B. Guo, Matthew Jones, et al.. (2020). Systematic assessment of tissue dissociation and storage biases in single-cell and single-nucleus RNA-seq workflows. Genome biology. 21(1). 130–130. 353 indexed citations breakdown →
9.
Grubman, Alexandra, Gabriel Chew, John F. Ouyang, et al.. (2019). A single-cell atlas of entorhinal cortex from individuals with Alzheimer’s disease reveals cell-type-specific gene expression regulation. Nature Neuroscience. 22(12). 2087–2097. 555 indexed citations breakdown →
10.
Poppe, Daniel, Jonas Doerr, Marion Schneider, et al.. (2018). Genome Editing in Neuroepithelial Stem Cells to Generate Human Neurons with High Adenosine-Releasing Capacity. Stem Cells Translational Medicine. 7(6). 477–486. 10 indexed citations
11.
Mertens, Jérôme, Daniel Poppe, Jonas Doerr, et al.. (2013). Embryonic Stem Cell–Based Modeling of Tau Pathology in Human Neurons. American Journal Of Pathology. 182(5). 1769–1779. 32 indexed citations
12.
Ladewig, Julia, Jérôme Mertens, Jaideep Kesavan, et al.. (2012). Small molecules enable highly efficient neuronal conversion of human fibroblasts. Nature Methods. 9(6). 575–578. 259 indexed citations
13.
Koch, Philipp, Péter Breuer, Michael Peitz, et al.. (2011). Excitation-induced ataxin-3 aggregation in neurons from patients with Machado–Joseph disease. Nature. 480(7378). 543–546. 248 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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