Adnan Derti

3.8k total citations · 1 hit paper
20 papers, 1.3k citations indexed

About

Adnan Derti is a scholar working on Molecular Biology, Oncology and Genetics. According to data from OpenAlex, Adnan Derti has authored 20 papers receiving a total of 1.3k indexed citations (citations by other indexed papers that have themselves been cited), including 14 papers in Molecular Biology, 3 papers in Oncology and 3 papers in Genetics. Recurrent topics in Adnan Derti's work include RNA modifications and cancer (4 papers), Genomics and Phylogenetic Studies (3 papers) and RNA Research and Splicing (3 papers). Adnan Derti is often cited by papers focused on RNA modifications and cancer (4 papers), Genomics and Phylogenetic Studies (3 papers) and RNA Research and Splicing (3 papers). Adnan Derti collaborates with scholars based in United States, France and Switzerland. Adnan Derti's co-authors include Jason M. Johnson, Richard Stevens, Philip W. Garrett-Engele, Ronghua Chen, Tomas Babak, Carol A. Rohl, Shreedharan Sriram, Kenzie D. MacIsaac, Frederick P. Roth and Charles DeLisi and has published in prestigious journals such as Nature, Proceedings of the National Academy of Sciences and Nature Genetics.

In The Last Decade

Adnan Derti

19 papers receiving 1.3k citations

Hit Papers

A quantitative atlas of polyadenylation in five mammals 2012 2026 2016 2021 2012 100 200 300 400

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Adnan Derti United States 16 1.1k 183 117 108 97 20 1.3k
Fabrice Lejeune France 21 2.3k 2.1× 153 0.8× 159 1.4× 130 1.2× 93 1.0× 32 2.5k
Armelle Corpet France 16 1.7k 1.6× 89 0.5× 146 1.2× 148 1.4× 184 1.9× 23 2.0k
Shivalingappa K. Swamynathan United States 22 803 0.7× 85 0.5× 194 1.7× 54 0.5× 39 0.4× 48 1.3k
Samantha G. Pattenden United States 16 1.2k 1.1× 112 0.6× 91 0.8× 182 1.7× 131 1.4× 25 1.4k
Tamayo Uechi Japan 18 1.2k 1.1× 206 1.1× 131 1.1× 106 1.0× 58 0.6× 22 1.4k
Daniel Edsgärd Sweden 11 1.1k 1.0× 187 1.0× 243 2.1× 64 0.6× 161 1.7× 14 1.4k
Xiaoqin Xu United States 11 1.3k 1.2× 156 0.9× 201 1.7× 199 1.8× 147 1.5× 17 1.5k
Cristóbal Mezquita Spain 21 781 0.7× 85 0.5× 255 2.2× 120 1.1× 44 0.5× 47 1.1k
Jeremy R. Sanford United States 27 2.7k 2.5× 488 2.7× 179 1.5× 95 0.9× 97 1.0× 49 3.0k
R. William Henry United States 23 1.2k 1.2× 117 0.6× 99 0.8× 203 1.9× 84 0.9× 42 1.4k

Countries citing papers authored by Adnan Derti

Since Specialization
Citations

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

Fields of papers citing papers by Adnan Derti

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Adnan Derti

This figure shows the co-authorship network connecting the top 25 collaborators of Adnan Derti. A scholar is included among the top collaborators of Adnan Derti 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 Adnan Derti. Adnan Derti 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.
Reddy, Anupama, Scott M. Haake, Adnan Derti, et al.. (2023). Biomarker-driven prospective clinical trial in renal cell carcinoma: Developing machine learning models to allocate patients to treatment arms using RNA sequencing.. Journal of Clinical Oncology. 41(16_suppl). 4525–4525. 1 indexed citations
2.
Piperno‐Neumann, Sophie, James Larkin, Richard D. Carvajal, et al.. (2020). Genomic Profiling of Metastatic Uveal Melanoma and Clinical Results of a Phase I Study of the Protein Kinase C Inhibitor AEB071. Molecular Cancer Therapeutics. 19(4). 1031–1039. 41 indexed citations
3.
Herpen, Carla M.L. van, Sanjiv S. Agarwala, Axel Hauschild, et al.. (2019). Biomarker results from a phase II study of MEK1/2 inhibitor binimetinib (MEK162) in patients with advancedNRAS- orBRAF-mutated melanoma. Oncotarget. 10(19). 1850–1859. 16 indexed citations
4.
Bulik‐Sullivan, Brendan, Matthew J. Davis, Andrew P. Clark, et al.. (2017). Abstract 629: An integrated genomic and proteomic analysis of human tumors reveals key factors in neoantigen identification and enables epitope prediction for cancer immunotherapy. Cancer Research. 77(13_Supplement). 629–629.
5.
Huynh, Hung, Huai-Xiang Hao, Stephen L. Chan, et al.. (2015). Loss of Tuberous Sclerosis Complex 2 (TSC2) Is Frequent in Hepatocellular Carcinoma and Predicts Response to mTORC1 Inhibitor Everolimus. Molecular Cancer Therapeutics. 14(5). 1224–1235. 60 indexed citations
6.
Zhou, Qianhe, Adnan Derti, David A. Ruddy, et al.. (2015). A Chemical Genetics Approach for the Functional Assessment of Novel Cancer Genes. Cancer Research. 75(10). 1949–1958. 57 indexed citations
8.
Piperno‐Neumann, Sophie, Ellen Kapiteijn, James Larkin, et al.. (2014). Landscape of genetic alterations in patients with metastatic uveal melanoma.. Journal of Clinical Oncology. 32(15_suppl). 9043–9043. 9 indexed citations
10.
Derti, Adnan, Philip W. Garrett-Engele, Kenzie D. MacIsaac, et al.. (2012). A quantitative atlas of polyadenylation in five mammals. Genome Research. 22(6). 1173–1183. 487 indexed citations breakdown →
11.
Cenik, Can, Hon Nian Chua, Hui Zhang, et al.. (2011). Genome Analysis Reveals Interplay between 5′UTR Introns and Nuclear mRNA Export for Secretory and Mitochondrial Genes. PLoS Genetics. 7(4). e1001366–e1001366. 67 indexed citations
12.
Derti, Adnan, Can Cenik, Peter Kraft, & Frederick P. Roth. (2010). Absence of Evidence for MHC–Dependent Mate Selection within HapMap Populations. PLoS Genetics. 6(4). e1000925–e1000925. 30 indexed citations
13.
Cenik, Can, Adnan Derti, Joseph Mellor, Gabriel F. Berriz, & Frederick P. Roth. (2010). Genome-wide functional analysis of human 5' untranslated region introns. Genome biology. 11(3). R29–R29. 63 indexed citations
14.
Salehi‐Ashtiani, Kourosh, Xinping Yang, Adnan Derti, et al.. (2008). Isoform discovery by targeted cloning, 'deep-well' pooling and parallel sequencing. Nature Methods. 5(7). 597–600. 19 indexed citations
15.
Chiang, Charleston W. K., Adnan Derti, Daniel Schwartz, et al.. (2008). Ultraconserved Elements: Analyses of Dosage Sensitivity, Motifs and Boundaries. Genetics. 180(4). 2277–2293. 28 indexed citations
16.
Derti, Adnan, Frederick P. Roth, George M. Church, & C-ting Wu. (2006). Mammalian ultraconserved elements are strongly depleted among segmental duplications and copy number variants. Nature Genetics. 38(10). 1216–1220. 83 indexed citations
17.
Powell, Charles A., Avrum Spira, Adnan Derti, et al.. (2003). Gene Expression in Lung Adenocarcinomas of Smokers and Nonsmokers. American Journal of Respiratory Cell and Molecular Biology. 29(2). 157–162. 100 indexed citations
18.
Yanai, Itai, Adnan Derti, & Charles DeLisi. (2001). Genes linked by fusion events are generally of the same functional category: A systematic analysis of 30 microbial genomes. Proceedings of the National Academy of Sciences. 98(14). 7940–7945. 123 indexed citations
19.
Aach, John, Martha L. Bulyk, George M. Church, et al.. (2001). Computational comparison of two draft sequences of the human genome. Nature. 409(6822). 856–859. 40 indexed citations
20.
Budde, John, Adnan Derti, Reed Kelso, et al.. (1999). ProbeDesigner: for the design of probesets for branched DNA (bDNA) signal amplification assays.. Bioinformatics. 15(5). 348–355. 26 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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