Franka J. Rang

1.0k total citations · 1 hit paper
7 papers, 598 citations indexed

About

Franka J. Rang is a scholar working on Molecular Biology, Artificial Intelligence and Genetics. According to data from OpenAlex, Franka J. Rang has authored 7 papers receiving a total of 598 indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Molecular Biology, 1 paper in Artificial Intelligence and 1 paper in Genetics. Recurrent topics in Franka J. Rang's work include Genomics and Chromatin Dynamics (5 papers), Epigenetics and DNA Methylation (4 papers) and RNA modifications and cancer (2 papers). Franka J. Rang is often cited by papers focused on Genomics and Chromatin Dynamics (5 papers), Epigenetics and DNA Methylation (4 papers) and RNA modifications and cancer (2 papers). Franka J. Rang collaborates with scholars based in Netherlands, Germany and United States. Franka J. Rang's co-authors include Wigard P. Kloosterman, Jeroen de Ridder, Johannes Boonstra, Jop Kind, Kim L. de Luca, Sandra S. de Vries, Siddharth S. Dey, Dylan Mooijman, Koos Rooijers and Isabel Guerreiro and has published in prestigious journals such as Nature Genetics, Nature Biotechnology and Molecular Cell.

In The Last Decade

Franka J. Rang

7 papers receiving 584 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.

From squiggle to basepair: computational approaches for improving nanopore sequencing read accuracy

2018 406 citations Franka J. Rang, Wigard P. Kloosterman et al. Genome biology profile →

Peers

Countries citing papers authored by Franka J. Rang

Since Specialization

Citations

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

Fields of papers citing papers by Franka J. Rang

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Franka J. Rang. 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 Franka J. Rang. The network helps show where Franka J. Rang may publish in the future.

Co-authorship network of co-authors of Franka J. Rang

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

All Works

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7 of 7 papers shown

#	Work	Indexed citations
1	Antagonism between H3K27me3 and genome–lamina association drives atypical spatial genome organization in the totipotent embryo 2024 ·Nature Genetics ·Isabel Guerreiro, Franka J. Rang, Yumiko Kawamura, (unknown), Jeroen Korving, (unknown), (unknown), (unknown), (unknown), Antoine H.F.M. Peters, Jop Kind	6
2	The role of heterochromatin in 3D genome organization during preimplantation development 2023 ·Cell Reports ·Franka J. Rang, Jop Kind, Isabel Guerreiro	3
3	Single-cell profiling of transcriptome and histone modifications with EpiDamID 2022 ·Molecular Cell ·Franka J. Rang, Kim L. de Luca, Sandra S. de Vries, Christian Valdes‐Quezada, (unknown), Phong D. Nguyen, Isabel Guerreiro, Yuko Sato, Hiroshi Kimurâ, Jeroen Bakkers, Jop Kind	31
4	Simultaneous quantification of protein–DNA interactions and transcriptomes in single cells with scDam&T-seq 2020 ·Nature Protocols ·(unknown), Franka J. Rang, Koos Rooijers, Sandra S. de Vries, (unknown), Kim L. de Luca, (unknown), Dylan Mooijman, Siddharth S. Dey, Jop Kind	21
5	Simultaneous quantification of protein–DNA contacts and transcriptomes in single cells 2019 ·Nature Biotechnology ·Koos Rooijers, (unknown), Franka J. Rang, Sandra S. de Vries, (unknown), Kim L. de Luca, Dylan Mooijman, Siddharth S. Dey, Jop Kind	78
6	From squiggle to basepair: computational approaches for improving nanopore sequencing read accuracy breakdown → 2018 ·Genome biology ·Franka J. Rang, Wigard P. Kloosterman, Jeroen de Ridder	406
7	Causes and Consequences of Age-Related Changes in DNA Methylation: A Role for ROS? 2014 ·Biology ·Franka J. Rang, Johannes Boonstra	53

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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