Shalini Oberdoerffer

3.2k total citations · 2 hit papers
24 papers, 2.3k citations indexed

About

Shalini Oberdoerffer is a scholar working on Molecular Biology, Cancer Research and Oncology. According to data from OpenAlex, Shalini Oberdoerffer has authored 24 papers receiving a total of 2.3k indexed citations (citations by other indexed papers that have themselves been cited), including 22 papers in Molecular Biology, 5 papers in Cancer Research and 1 paper in Oncology. Recurrent topics in Shalini Oberdoerffer's work include RNA modifications and cancer (18 papers), RNA Research and Splicing (13 papers) and RNA and protein synthesis mechanisms (11 papers). Shalini Oberdoerffer is often cited by papers focused on RNA modifications and cancer (18 papers), RNA Research and Splicing (13 papers) and RNA and protein synthesis mechanisms (11 papers). Shalini Oberdoerffer collaborates with scholars based in United States, France and Finland. Shalini Oberdoerffer's co-authors include Sanjeev Shukla, Rickard Sandberg, Masahiko Imashimizu, Bojan Shutinoski, Melissa K. Gregory, Philipp Oberdoerffer, Erşen Kavak, Mikhail Kashlev, David Sturgill and Daniel Arango and has published in prestigious journals such as Nature, Science and Cell.

In The Last Decade

Shalini Oberdoerffer

24 papers receiving 2.3k citations

Hit Papers

CTCF-promoted RNA polymer... 2011 2026 2016 2021 2011 2018 200 400 600

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Shalini Oberdoerffer United States 15 2.0k 589 221 206 125 24 2.3k
Eric L. Van Nostrand United States 27 3.0k 1.5× 669 1.1× 217 1.0× 132 0.6× 67 0.5× 38 3.3k
Dennis Kappei Singapore 23 1.2k 0.6× 292 0.5× 143 0.6× 139 0.7× 131 1.0× 44 1.8k
Jun Cho South Korea 11 1.8k 0.9× 1.0k 1.8× 97 0.4× 267 1.3× 80 0.6× 20 2.2k
Achim Breiling Germany 19 2.1k 1.1× 422 0.7× 350 1.6× 291 1.4× 125 1.0× 27 2.5k
Duncan Sproul United Kingdom 21 2.5k 1.2× 382 0.6× 450 2.0× 165 0.8× 157 1.3× 35 2.9k
Soohwan Oh United States 17 1.6k 0.8× 531 0.9× 221 1.0× 249 1.2× 170 1.4× 36 2.1k
Katlin B. Massirer Brazil 16 1.7k 0.8× 1.1k 1.8× 84 0.4× 112 0.5× 80 0.6× 44 2.1k
Sumiyo Morita Japan 25 1.7k 0.8× 383 0.7× 501 2.3× 365 1.8× 384 3.1× 48 2.2k
Arnaud Krebs Switzerland 18 2.0k 1.0× 168 0.3× 339 1.5× 134 0.7× 93 0.7× 27 2.2k
Paul Wei‐Che Hsu Taiwan 14 1.2k 0.6× 585 1.0× 94 0.4× 107 0.5× 155 1.2× 22 1.6k

Countries citing papers authored by Shalini Oberdoerffer

Since Specialization
Citations

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

Fields of papers citing papers by Shalini Oberdoerffer

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Shalini Oberdoerffer

This figure shows the co-authorship network connecting the top 25 collaborators of Shalini Oberdoerffer. A scholar is included among the top collaborators of Shalini Oberdoerffer 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 Shalini Oberdoerffer. Shalini Oberdoerffer 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.
Oberdoerffer, Shalini, et al.. (2024). NAT10 and cytidine acetylation in mRNA: intersecting paths in development and disease. Current Opinion in Genetics & Development. 87. 102207–102207. 7 indexed citations
2.
Chen, Ling‐Ling, Nicholas T. Ingolia, Megan L. Insco, et al.. (2024). Voices: Challenges and opportunities in RNA biology. Cell chemical biology. 31(1). 10–13. 2 indexed citations
3.
Schiffers, Sarah, et al.. (2024). Enhanced ac4C detection in RNA via chemical reduction and cDNA synthesis with modified dNTPs. RNA. 30(7). rna.079863.123–rna.079863.123. 3 indexed citations
4.
Beiki, Hamid, et al.. (2024). Detection of ac4C in human mRNA is preserved upon data reassessment. Molecular Cell. 84(8). 1611–1625.e3. 13 indexed citations
5.
Oberdoerffer, Shalini & Wendy V. Gilbert. (2024). All the sites we cannot see: Sources and mitigation of false negatives in RNA modification studies. Nature Reviews Molecular Cell Biology. 26(3). 237–248. 6 indexed citations
6.
Schiffers, Sarah & Shalini Oberdoerffer. (2024). ac4C: a fragile modification with stabilizing functions in RNA metabolism. RNA. 30(5). 583–594. 15 indexed citations
7.
Arango, Daniel, David Sturgill, Renbin Yang, et al.. (2022). Direct epitranscriptomic regulation of mammalian translation initiation through N4-acetylcytidine. Molecular Cell. 82(15). 2797–2814.e11. 102 indexed citations
8.
Sturgill, David, Daniel Arango, & Shalini Oberdoerffer. (2022). Protocol for base resolution mapping of ac4C using RedaC:T-seq. STAR Protocols. 3(4). 101858–101858. 14 indexed citations
9.
Tomassoni‐Ardori, Francesco, Gianluca Fulgenzi, Jodi Becker, et al.. (2019). Rbfox1 up-regulation impairs BDNF-dependent hippocampal LTP by dysregulating TrkB isoform expression levels. eLife. 8. 38 indexed citations
10.
Nanan, Kyster K., David Sturgill, Morgan Thénoz, et al.. (2019). TET-Catalyzed 5-Carboxylcytosine Promotes CTCF Binding to Suboptimal Sequences Genome-wide. iScience. 19. 326–339. 20 indexed citations
11.
Thomas, Justin M., Chloe A. Briney, Kellie D. Nance, et al.. (2018). A Chemical Signature for Cytidine Acetylation in RNA. Journal of the American Chemical Society. 140(40). 12667–12670. 81 indexed citations
12.
Arango, Daniel, David Sturgill, Najwa Alhusaini, et al.. (2018). Acetylation of Cytidine in mRNA Promotes Translation Efficiency. Cell. 175(7). 1872–1886.e24. 566 indexed citations breakdown →
13.
Forrest, Megan E., Ashrut Narula, Thomas J. Sweet, et al.. (2018). Codon Usage and Amino Acid Identity Are Major Determinants of MRNA Stability in Humans. SSRN Electronic Journal. 1 indexed citations
14.
Nanan, Kyster K., et al.. (2017). Independence between pre-mRNA splicing and DNA methylation in an isogenic minigene resource. Nucleic Acids Research. 45(22). 12780–12797. 2 indexed citations
15.
Marina, Ryan J., David Sturgill, Marc Bailly, et al.. (2015). TET ‐catalyzed oxidation of intragenic 5‐methylcytosine regulates CTCF ‐dependent alternative splicing. The EMBO Journal. 35(3). 335–355. 80 indexed citations
16.
Haque, Nazmul & Shalini Oberdoerffer. (2014). Chromatin and Splicing. Methods in molecular biology. 1126. 97–113. 16 indexed citations
17.
Shukla, Sanjeev & Shalini Oberdoerffer. (2012). Co-transcriptional regulation of alternative pre-mRNA splicing. Biochimica et Biophysica Acta (BBA) - Gene Regulatory Mechanisms. 1819(7). 673–683. 69 indexed citations
18.
Shukla, Sanjeev, Erşen Kavak, Melissa K. Gregory, et al.. (2011). CTCF-promoted RNA polymerase II pausing links DNA methylation to splicing. Nature. 479(7371). 74–79. 743 indexed citations breakdown →
19.
Sharma, Sonia, Gregory M. Findlay, Hozefa S. Bandukwala, et al.. (2011). Dephosphorylation of the nuclear factor of activated T cells (NFAT) transcription factor is regulated by an RNA-protein scaffold complex. Proceedings of the National Academy of Sciences. 108(28). 11381–11386. 232 indexed citations
20.
Horng, Tiffany, Shalini Oberdoerffer, & Anjana Rao. (2008). Gene regulation and signal transduction in the immune system. Genome Biology. 9(7). 315–315. 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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