Merve Dede

1.0k total citations
11 papers, 244 citations indexed

About

Merve Dede is a scholar working on Molecular Biology, Genetics and Surgery. According to data from OpenAlex, Merve Dede has authored 11 papers receiving a total of 244 indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Molecular Biology, 3 papers in Genetics and 2 papers in Surgery. Recurrent topics in Merve Dede's work include CRISPR and Genetic Engineering (4 papers), Single-cell and spatial transcriptomics (3 papers) and Gene Regulatory Network Analysis (2 papers). Merve Dede is often cited by papers focused on CRISPR and Genetic Engineering (4 papers), Single-cell and spatial transcriptomics (3 papers) and Gene Regulatory Network Analysis (2 papers). Merve Dede collaborates with scholars based in United States, Netherlands and India. Merve Dede's co-authors include Traver Hart, Eiru Kim, Megan McLaughlin, Walter F. Lenoir, Medina Colic, Vakul Mohanty, Ken Chen, Gang Wang, Sanjana Srinivasan and May Daher and has published in prestigious journals such as Nucleic Acids Research, Nature Communications and Gut.

In The Last Decade

Merve Dede

10 papers receiving 242 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Merve Dede United States	8	198	35	32	30	21	11	244
Steven B. Neuhauser United States	5	152 0.8×	48 1.4×	49 1.5×	52 1.7×	24 1.1×	14	249
Zandra V. Ho United States	4	216 1.1×	27 0.8×	43 1.3×	70 2.3×	12 0.6×	4	256
Mira Kassouf United Kingdom	8	453 2.3×	46 1.3×	19 0.6×	36 1.2×	34 1.6×	14	542
Vakul Mohanty United States	8	157 0.8×	14 0.4×	27 0.8×	62 2.1×	31 1.5×	24	216
Georgina D. Barnabas Israel	8	258 1.3×	36 1.0×	42 1.3×	77 2.6×	12 0.6×	13	304
Jeffery J. Delrow United States	4	165 0.8×	22 0.6×	46 1.4×	45 1.5×	21 1.0×	5	199
Andrew Barthorpe United Kingdom	3	147 0.7×	18 0.5×	67 2.1×	57 1.9×	10 0.5×	3	213
Kunal Jindal United States	3	244 1.2×	15 0.4×	15 0.5×	33 1.1×	28 1.3×	4	283
Taiki Tsutsui Japan	6	162 0.8×	18 0.5×	43 1.3×	29 1.0×	26 1.2×	7	232
Noor Sohail United States	4	128 0.6×	14 0.4×	32 1.0×	48 1.6×	20 1.0×	4	169

Countries citing papers authored by Merve Dede

Since Specialization

Citations

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

Fields of papers citing papers by Merve Dede

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Merve Dede

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

All Works

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11 of 11 papers shown

Meng, Qing H., et al.. (2026). Early Postoperative PSA Dynamics and Prognostic Implications After Radical Prostatectomy. Cancers. 18(5). 850–850.

Dede, Merve, Vakul Mohanty, Jinzhuang Dou, et al.. (2024). Forecasting acute kidney injury and resource utilization in ICU patients using longitudinal, multimodal models. Journal of Biomedical Informatics. 154. 104648–104648. 8 indexed citations

Makino, Yuki, Kimal Rajapakshe, Benson Chellakkan Selvanesan, et al.. (2024). Metabolic reprogramming by mutant GNAS creates an actionable dependency in intraductal papillary mucinous neoplasms of the pancreas. Gut. 74(1). 75–88. 2 indexed citations

Dede, Merve & Traver Hart. (2023). Recovering false negatives in CRISPR fitness screens with JLOE. Nucleic Acids Research. 51(4). 1637–1651. 3 indexed citations

Huang, Yuefan, Vakul Mohanty, Merve Dede, et al.. (2023). Characterizing cancer metabolism from bulk and single-cell RNA-seq data using METAFlux. Nature Communications. 14(1). 4883–4883. 51 indexed citations

Feng, Xu, Mengfan Tang, Merve Dede, et al.. (2022). Genome-wide CRISPR screens using isogenic cells reveal vulnerabilities conferred by loss of tumor suppressors. Science Advances. 8(19). eabm6638–eabm6638. 25 indexed citations

Dede, Merve, et al.. (2022). Systematic Analysis of Actively Transcribed Core Matrisome Genes Across Tissues and Cell Phenotypes. Matrix Biology. 111. 95–107. 9 indexed citations

Lenoir, Walter F., Peter C. DeWeirdt, Megan McLaughlin, et al.. (2021). Discovery of putative tumor suppressors from CRISPR screens reveals rewired lipid metabolism in acute myeloid leukemia cells. Nature Communications. 12(1). 6506–6506. 16 indexed citations

Dede, Merve, Megan McLaughlin, Eiru Kim, & Traver Hart. (2020). Multiplex enCas12a screens detect functional buffering among paralogs otherwise masked in monogenic Cas9 knockout screens. Genome biology. 21(1). 262–262. 66 indexed citations

10.

Kim, Eiru, Merve Dede, Walter F. Lenoir, et al.. (2019). A network of human functional gene interactions from knockout fitness screens in cancer cells. Life Science Alliance. 2(2). e201800278–e201800278. 57 indexed citations

11.

Movassagh, Mercedeh, Prakriti Mudvari, Merve Dede, et al.. (2016). RNA2DNAlign: nucleotide resolution allele asymmetries through quantitative assessment of RNA and DNA paired sequencing data. Nucleic Acids Research. 44(22). e161–e161. 7 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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