Diane A. Flasch

2.6k total citations
11 papers, 393 citations indexed

About

Diane A. Flasch is a scholar working on Molecular Biology, Plant Science and Cancer Research. According to data from OpenAlex, Diane A. Flasch has authored 11 papers receiving a total of 393 indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Molecular Biology, 7 papers in Plant Science and 2 papers in Cancer Research. Recurrent topics in Diane A. Flasch's work include Chromosomal and Genetic Variations (7 papers), RNA modifications and cancer (3 papers) and CRISPR and Genetic Engineering (3 papers). Diane A. Flasch is often cited by papers focused on Chromosomal and Genetic Variations (7 papers), RNA modifications and cancer (3 papers) and CRISPR and Genetic Engineering (3 papers). Diane A. Flasch collaborates with scholars based in United States, Canada and Argentina. Diane A. Flasch's co-authors include John V. Moran, Jinghui Zhang, Mats Ljungman, Ángela Macia, Laura Sánchez, José L. García-Pérez, Thomas E. Wilson, Sara R. Heras, Liqing Tian and Scott Newman and has published in prestigious journals such as Cell, Nucleic Acids Research and Cancer Cell.

In The Last Decade

Diane A. Flasch

11 papers receiving 388 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Diane A. Flasch United States 8 288 138 79 75 29 11 393
Matthias Barann Germany 7 292 1.0× 216 1.6× 77 1.0× 38 0.5× 12 0.4× 9 412
Zhenfeng Wu China 12 393 1.4× 60 0.4× 41 0.5× 172 2.3× 28 1.0× 26 527
Amanda McCormack United States 10 176 0.6× 63 0.5× 63 0.8× 117 1.6× 16 0.6× 14 328
Patricia Legoix-Né France 8 576 2.0× 127 0.9× 162 2.1× 163 2.2× 9 0.3× 9 692
Ester Falconer Canada 11 426 1.5× 137 1.0× 190 2.4× 129 1.7× 20 0.7× 13 553
Kunbin Qu United States 6 205 0.7× 41 0.3× 33 0.4× 89 1.2× 10 0.3× 8 310
Weiwei Duan China 13 183 0.6× 292 2.1× 22 0.3× 66 0.9× 11 0.4× 37 544
Changchang Xin China 8 339 1.2× 36 0.3× 56 0.7× 33 0.4× 16 0.6× 14 374
Nick Carriero United States 5 294 1.0× 75 0.5× 60 0.8× 33 0.4× 10 0.3× 5 347
Elżbieta Sarnowska Poland 14 435 1.5× 274 2.0× 108 1.4× 55 0.7× 77 2.7× 35 688

Countries citing papers authored by Diane A. Flasch

Since Specialization
Citations

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

Fields of papers citing papers by Diane A. Flasch

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Diane A. Flasch. 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 Diane A. Flasch. The network helps show where Diane A. Flasch may publish in the future.

Co-authorship network of co-authors of Diane A. Flasch

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

All Works

11 of 11 papers shown
1.
Schratz, Kristen E., Diane A. Flasch, Amanda L. Blackford, et al.. (2023). T cell immune deficiency rather than chromosome instability predisposes patients with short telomere syndromes to squamous cancers. Cancer Cell. 41(4). 807–817.e6. 30 indexed citations
2.
Chen, Xiaolong, Diane A. Flasch, Bensheng Ju, et al.. (2022). Abstract 1462: Oncogenic activation of FOXR2 driven by somatic acquisition of a LINE-1 promoter in pediatric high-grade glioma. Cancer Research. 82(12_Supplement). 1462–1462. 2 indexed citations
3.
Flasch, Diane A., Xiaolong Chen, Bensheng Ju, et al.. (2022). Somatic LINE-1 promoter acquisition drives oncogenic FOXR2 activation in pediatric brain tumor. Acta Neuropathologica. 143(5). 605–607. 4 indexed citations
4.
Zhou, Xin, Jian Wang, Marc Valentine, et al.. (2021). Exploration of Coding and Non-coding Variants in Cancer Using GenomePaint. Cancer Cell. 39(1). 83–95.e4. 13 indexed citations
5.
Ma, Xiaotu, Ying Shao, Liqing Tian, et al.. (2019). Analysis of error profiles in deep next-generation sequencing data. Genome biology. 20(1). 50–50. 169 indexed citations
6.
Flasch, Diane A., Ángela Macia, Laura Sánchez, et al.. (2019). Genome-wide de novo L1 Retrotransposition Connects Endonuclease Activity with Replication. Cell. 177(4). 837–851.e28. 85 indexed citations
7.
Zhou, Weichen, Sarah B. Emery, Diane A. Flasch, et al.. (2019). Identification and characterization of occult human-specific LINE-1 insertions using long-read sequencing technology. Nucleic Acids Research. 48(3). 1146–1163. 55 indexed citations
8.
Kopera, Huira C., Diane A. Flasch, Mitsuhiro Nakamura, et al.. (2016). LEAP: L1 Element Amplification Protocol. Methods in molecular biology. 1400. 339–355. 12 indexed citations
9.
Singh, Parmit K., Guillaume Bourque, Nancy L. Craig, et al.. (2014). Mobile genetic elements and genome evolution 2014. Mobile DNA. 5(1). 26–26. 10 indexed citations
11.
Flasch, Diane A., et al.. (2008). Analysis of Insertional Sites of the SIRE1 Retroelement Family from Glycine Max Using GenBank BAC-end Sequences. In Silico Biology. 8(5-6). 531–543. 1 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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