Vedran Franke

3.8k total citations
32 papers, 1.7k citations indexed

About

Vedran Franke is a scholar working on Molecular Biology, Immunology and Cancer Research. According to data from OpenAlex, Vedran Franke has authored 32 papers receiving a total of 1.7k indexed citations (citations by other indexed papers that have themselves been cited), including 29 papers in Molecular Biology, 7 papers in Immunology and 7 papers in Cancer Research. Recurrent topics in Vedran Franke's work include RNA Research and Splicing (9 papers), RNA modifications and cancer (8 papers) and Single-cell and spatial transcriptomics (5 papers). Vedran Franke is often cited by papers focused on RNA Research and Splicing (9 papers), RNA modifications and cancer (8 papers) and Single-cell and spatial transcriptomics (5 papers). Vedran Franke collaborates with scholars based in Germany, Croatia and United States. Vedran Franke's co-authors include Altuna Akalin, Kristian Vlahoviček, Petr Svoboda, Richard M. Schultz, Dirk Schübeler, Christopher E. Mason, Radek Malı́k, Matyáš Flemr, Jana Nejepinska and Radislav Sedláček and has published in prestigious journals such as Cell, Nucleic Acids Research and Nature Communications.

In The Last Decade

Vedran Franke

32 papers receiving 1.7k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Vedran Franke Germany 20 1.5k 259 247 194 153 32 1.7k
Ariel Paulson United States 19 1.1k 0.8× 278 1.1× 121 0.5× 196 1.0× 157 1.0× 28 1.5k
Sonia Verp Switzerland 15 1.6k 1.1× 205 0.8× 402 1.6× 266 1.4× 145 0.9× 19 1.8k
Yodai Takei United States 8 2.4k 1.6× 332 1.3× 238 1.0× 263 1.4× 259 1.7× 11 2.7k
Jill M. Brown United Kingdom 24 1.7k 1.2× 241 0.9× 359 1.5× 412 2.1× 95 0.6× 43 2.2k
Hua-Ying Fan United States 23 2.4k 1.6× 185 0.7× 244 1.0× 340 1.8× 172 1.1× 34 2.6k
Zhuqiang Zhang China 20 1.4k 0.9× 178 0.7× 149 0.6× 206 1.1× 219 1.4× 35 1.7k
Hatice S Kaya-Okur United States 4 1.4k 1.0× 206 0.8× 194 0.8× 160 0.8× 190 1.2× 4 1.7k
Henriette O’Geen United States 28 2.4k 1.6× 202 0.8× 275 1.1× 527 2.7× 139 0.9× 43 2.7k
Paul A. Ginno United States 10 2.5k 1.7× 259 1.0× 269 1.1× 454 2.3× 107 0.7× 12 2.8k
Ryuichiro Nakato Japan 27 2.2k 1.5× 207 0.8× 283 1.1× 291 1.5× 107 0.7× 67 2.5k

Countries citing papers authored by Vedran Franke

Since Specialization
Citations

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

Fields of papers citing papers by Vedran Franke

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Vedran Franke

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

All Works

20 of 20 papers shown
1.
Neugebauer, Eva, Stephanie Wälter, Nir Drayman, et al.. (2025). Herpesviruses mimic zygotic genome activation to promote viral replication. Nature Communications. 16(1). 710–710. 3 indexed citations
2.
Uyar, Bora, et al.. (2025). Flexynesis: A deep learning toolkit for bulk multi-omics data integration for precision oncology and beyond. Nature Communications. 16(1). 8261–8261. 1 indexed citations
3.
Kratzer, Adelheid, Héctor Giral, Vedran Franke, et al.. (2024). Acute myocardial infarction leads to distinct sex differences in the coding transcriptome of human monocytes with a potential impact in disease aetiopathology. European Heart Journal. 45(Supplement_1). 1 indexed citations
4.
Gruber, Sylvia, Bernhard Kratzer, Winfried F. Pickl, et al.. (2024). Cytosolic nucleic acid sensors and interferon beta-1 activation drive radiation-induced anti-tumour immune effects in human pancreatic cancer cells. Frontiers in Immunology. 15. 1286942–1286942. 1 indexed citations
5.
Franke, Vedran, Irina Grishkovskaya, Anton A. Polyansky, et al.. (2023). The SPOC domain is a phosphoserine binding module that bridges transcription machinery with co- and post-transcriptional regulators. Nature Communications. 14(1). 166–166. 15 indexed citations
6.
Franke, Vedran, Melania Bruno, Anton A. Polyansky, et al.. (2023). The SPOC proteins DIDO3 and PHF3 co-regulate gene expression and neuronal differentiation. Nature Communications. 14(1). 7912–7912. 1 indexed citations
7.
Ronen, Jonathan, et al.. (2022). Identifying tumor cells at the single-cell level using machine learning. Genome biology. 23(1). 123–123. 34 indexed citations
8.
Menzel, Lutz, Vedran Franke, Michael Grau, et al.. (2021). Lymphocyte access to lymphoma is impaired by high endothelial venule regression. Cell Reports. 37(4). 109878–109878. 12 indexed citations
9.
Kärgel, Eva, Vedran Franke, Erik McShane, et al.. (2019). Autocrine LTA signaling drives NF-κB and JAK-STAT activity and myeloid gene expression in Hodgkin lymphoma. Blood. 133(13). 1489–1494. 21 indexed citations
10.
Franke, Vedran, et al.. (2019). HOT or not: examining the basis of high-occupancy target regions. Nucleic Acids Research. 47(11). 5735–5745. 34 indexed citations
11.
Wyler, Emanuel, Vedran Franke, Jennifer Menegatti, et al.. (2019). Single-cell RNA-sequencing of herpes simplex virus 1-infected cells connects NRF2 activation to an antiviral program. Nature Communications. 10(1). 4878–4878. 96 indexed citations
12.
Wurmus, Ricardo, et al.. (2018). PiGx: reproducible genomics analysis pipelines with GNU Guix. GigaScience. 7(12). 36 indexed citations
13.
Franke, Vedran, Rosa Karlić, Radek Malı́k, et al.. (2017). Long terminal repeats power evolution of genes and gene expression programs in mammalian oocytes and zygotes. Genome Research. 27(8). 1384–1394. 98 indexed citations
14.
Mattioli, Camilla Ciolli, Vedran Franke, Koshi Imami, et al.. (2017). RNA localization is a key determinant of neurite-enriched proteome. Nature Communications. 8(1). 583–583. 146 indexed citations
15.
Wyler, Emanuel, Jennifer Menegatti, Vedran Franke, et al.. (2017). Widespread activation of antisense transcription of the host genome during herpes simplex virus 1 infection. Genome biology. 18(1). 209–209. 30 indexed citations
16.
Karlić, Rosa, Vedran Franke, Jana Urbanová, et al.. (2016). Long non-coding RNA exchange during the oocyte-to-embryo transition in mice. DNA Research. 24(2). dsw058–dsw058. 39 indexed citations
17.
Abe, Ken‐ichiro, Vedran Franke, Yutaka Suzuki, et al.. (2015). The first murine zygotic transcription is promiscuous and uncoupled from splicing and 3′ processing. The EMBO Journal. 34(11). 1523–1537. 121 indexed citations
18.
Melo, Eduardo O., Olga Davydenko, Jun Ma, et al.. (2015). Maternal SIN3A Regulates Reprogramming of Gene Expression During Mouse Preimplantation Development1. Biology of Reproduction. 93(4). 89–89. 26 indexed citations
19.
Greber, Basil J., Vedran Franke, Vesna Hodnik, et al.. (2014). Archaeal aminoacyl-tRNA synthetases interact with the ribosome to recycle tRNAs. Nucleic Acids Research. 42(8). 5191–5201. 20 indexed citations
20.
Yukawa, Masashi, Tomohiko Akiyama, Vedran Franke, et al.. (2014). Genome-Wide Analysis of the Chromatin Composition of Histone H2A and H3 Variants in Mouse Embryonic Stem Cells. PLoS ONE. 9(3). e92689–e92689. 16 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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