Stephanie Dobersch

587 total citations
9 papers, 294 citations indexed

About

Stephanie Dobersch is a scholar working on Molecular Biology, Geriatrics and Gerontology and Oncology. According to data from OpenAlex, Stephanie Dobersch has authored 9 papers receiving a total of 294 indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Molecular Biology, 2 papers in Geriatrics and Gerontology and 2 papers in Oncology. Recurrent topics in Stephanie Dobersch's work include RNA modifications and cancer (3 papers), RNA Research and Splicing (3 papers) and Autophagy in Disease and Therapy (2 papers). Stephanie Dobersch is often cited by papers focused on RNA modifications and cancer (3 papers), RNA Research and Splicing (3 papers) and Autophagy in Disease and Therapy (2 papers). Stephanie Dobersch collaborates with scholars based in Germany, Russia and United States. Stephanie Dobersch's co-authors include Guillermo Barreto, Aditi Mehta, Karla Rubio, Sita Kugel, Aditi Mehta, Thomas Braun, Raúl Mostoslavsky, Gad Getz, Mark A. Klein and John M. Denu and has published in prestigious journals such as Journal of Clinical Investigation, Nature Communications and Nature Genetics.

In The Last Decade

Stephanie Dobersch

7 papers receiving 293 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Stephanie Dobersch Germany 6 219 84 47 44 43 9 294
Marine Daures France 9 267 1.2× 83 1.0× 37 0.8× 53 1.2× 67 1.6× 13 349
Ivana Grbeša Croatia 10 170 0.8× 75 0.9× 50 1.1× 53 1.2× 44 1.0× 16 267
Yuxia Yang China 12 225 1.0× 102 1.2× 30 0.6× 26 0.6× 37 0.9× 29 330
En‐Wei Tao China 7 266 1.2× 172 2.0× 16 0.3× 19 0.4× 31 0.7× 9 329
Jay W. Yang China 6 210 1.0× 114 1.4× 119 2.5× 29 0.7× 30 0.7× 9 338
Changchun Shen China 6 340 1.6× 55 0.7× 13 0.3× 23 0.5× 48 1.1× 6 393
Xueying Wang China 8 162 0.7× 108 1.3× 49 1.0× 7 0.2× 26 0.6× 11 262
Shuai Leng China 11 354 1.6× 97 1.2× 17 0.4× 41 0.9× 83 1.9× 13 427
Chunyuan Xue China 7 181 0.8× 143 1.7× 10 0.2× 49 1.1× 51 1.2× 9 248
Da-Liang Wang China 11 270 1.2× 47 0.6× 15 0.3× 19 0.4× 57 1.3× 15 318

Countries citing papers authored by Stephanie Dobersch

Since Specialization
Citations

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

Fields of papers citing papers by Stephanie Dobersch

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Stephanie Dobersch

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

All Works

9 of 9 papers shown
1.
Lum, Michelle A., Surendra Parmar, Adrian R. Black, et al.. (2025). Small-molecule modulators of B56-PP2A restore 4E-BP function to suppress eIF4E-dependent translation in cancer cells. Journal of Clinical Investigation. 135(4).
2.
Dobersch, Stephanie, Naomi Yamamoto, Thomas Robertson, et al.. (2025). HMGA2 and protein leucine methylation drive pancreatic cancer lineage plasticity. Nature Communications. 16(1). 4866–4866.
3.
Dobersch, Stephanie, Adrianne Wallace-Povirk, Jaeseung Kim, et al.. (2023). Sirtuin 6 is required for the integrated stress response and resistance to inhibition of transcriptional cyclin-dependent kinases. Science Translational Medicine. 15(694). eabn9674–eabn9674. 5 indexed citations
4.
Dobersch, Stephanie, Karla Rubio, & Guillermo Barreto. (2019). Pioneer Factors and Architectural Proteins Mediating Embryonic Expression Signatures in Cancer. Trends in Molecular Medicine. 25(4). 287–302. 18 indexed citations
6.
Singh, Indrabahadur, Julio Cordero, Karla Rubio, et al.. (2018). MiCEE is a ncRNA-protein complex that mediates epigenetic silencing and nucleolar organization. Nature Genetics. 50(7). 990–1001. 39 indexed citations
7.
Kugel, Sita, Jessica L. Feldman, Mark A. Klein, et al.. (2015). Identification of and Molecular Basis for SIRT6 Loss-of-Function Point Mutations in Cancer. Cell Reports. 13(3). 479–488. 59 indexed citations
8.
Mehta, Aditi, et al.. (2015). Epigenetics in lung cancer diagnosis and therapy. Cancer and Metastasis Reviews. 34(2). 229–241. 136 indexed citations
9.
Mehta, Aditi, Stephanie Dobersch, Reinhard Dammann, et al.. (2015). Validation of Tuba1a as Appropriate Internal Control for Normalization of Gene Expression Analysis during Mouse Lung Development. International Journal of Molecular Sciences. 16(3). 4492–4511. 23 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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