Michelle Nahas

2.0k total citations
20 papers, 754 citations indexed

About

Michelle Nahas is a scholar working on Molecular Biology, Oncology and Cancer Research. According to data from OpenAlex, Michelle Nahas has authored 20 papers receiving a total of 754 indexed citations (citations by other indexed papers that have themselves been cited), including 10 papers in Molecular Biology, 6 papers in Oncology and 4 papers in Cancer Research. Recurrent topics in Michelle Nahas's work include RNA and protein synthesis mechanisms (6 papers), Advanced biosensing and bioanalysis techniques (5 papers) and DNA and Nucleic Acid Chemistry (5 papers). Michelle Nahas is often cited by papers focused on RNA and protein synthesis mechanisms (6 papers), Advanced biosensing and bioanalysis techniques (5 papers) and DNA and Nucleic Acid Chemistry (5 papers). Michelle Nahas collaborates with scholars based in United States, United Kingdom and Spain. Michelle Nahas's co-authors include Taekjip Ha, David M.J. Lilley, Timothy J. Wilson, Sungchul Hohng, Jin Yu, Klaus Schulten, Ruobo Zhou, Robert M. Clegg, Michael D. Brenner and Scott Silverman and has published in prestigious journals such as Science, Proceedings of the National Academy of Sciences and Journal of Clinical Oncology.

In The Last Decade

Michelle Nahas

17 papers receiving 733 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Michelle Nahas United States 10 526 131 120 102 87 20 754
Ja Yil Lee South Korea 19 1.1k 2.0× 110 0.8× 64 0.5× 56 0.5× 87 1.0× 49 1.3k
Lusik Cherkezyan United States 14 264 0.5× 201 1.5× 104 0.9× 162 1.6× 42 0.5× 30 602
Carel H. van Oven Netherlands 10 595 1.1× 190 1.5× 57 0.5× 140 1.4× 147 1.7× 15 904
Christopher J. Tynan United Kingdom 13 428 0.8× 154 1.2× 40 0.3× 120 1.2× 35 0.4× 23 805
Laura C. Zanetti-Domingues United Kingdom 15 420 0.8× 139 1.1× 35 0.3× 90 0.9× 37 0.4× 30 751
Dhwanil Damania United States 12 179 0.3× 141 1.1× 94 0.8× 102 1.0× 45 0.5× 18 448
Bálint Balázs Germany 10 252 0.5× 201 1.5× 60 0.5× 103 1.0× 51 0.6× 12 565
James H. Felce United Kingdom 16 316 0.6× 131 1.0× 104 0.9× 119 1.2× 18 0.2× 23 855
Laura Furia Italy 12 381 0.7× 384 2.9× 59 0.5× 186 1.8× 52 0.6× 22 779
Ana Mafalda Santos United Kingdom 17 440 0.8× 138 1.1× 57 0.5× 90 0.9× 19 0.2× 35 1.1k

Countries citing papers authored by Michelle Nahas

Since Specialization
Citations

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

Fields of papers citing papers by Michelle Nahas

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Michelle Nahas

This figure shows the co-authorship network connecting the top 25 collaborators of Michelle Nahas. A scholar is included among the top collaborators of Michelle Nahas 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 Michelle Nahas. Michelle Nahas 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.
2.
Severson, Eric A., Jo‐Anne Vergilio, Laurie M. Gay, et al.. (2018). Genomic Landscape of Adult and Pediatric BCR-ABL1-Like B-Lymphoblastic Leukemia Using Parallel DNA and RNA Sequencing. The Oncologist. 24(3). 372–374. 5 indexed citations
3.
Gregg, Jeffrey P., Gerald Li, Dean C. Pavlick, et al.. (2018). Comprehensive genomic profiling of ctDNA in patients with colon cancer and its fidelity to the genomics of the tumor biopsy.. Journal of Clinical Oncology. 36(4_suppl). 569–569. 3 indexed citations
4.
Heilmann, Andreas, Alexa B. Schrock, Jie He, et al.. (2017). Novel PDGFRB fusions in childhood B- and T-acute lymphoblastic leukemia. Leukemia. 31(9). 1989–1992. 13 indexed citations
5.
Schleifman, Erica, Michelle Nahas, M. Kennedy, et al.. (2017). Abstract P6-07-08: The complete spectrum of ESR1 mutations from 7590 breast cancer tumor samples. Cancer Research. 77(4_Supplement). P6–7.
6.
Wang, Kai, Michelle Nahas, Roman Yelensky, et al.. (2014). Novel Chromatin Modifying Gene Alterations and Significant Survival Association of ATM and P53 in Mantle Cell Lymphoma. Blood. 124(21). 3033–3033. 2 indexed citations
7.
Yelensky, Roman, Amy Donahue, Geoff Otto, et al.. (2014). Abstract 4699: Analytical validation of solid tumor fusion gene detection in a comprehensive NGS-based clinical cancer genomic test. Cancer Research. 74(19_Supplement). 4699–4699. 1 indexed citations
8.
Krivtsov, Andrei V., Xujun Wang, Noushin Farnoud, et al.. (2014). Patient Derived Xenograft (PDX) Models Recapitulate the Genomic-Driver Composition of Acute Leukemia Samples. Blood. 124(21). 286–286. 3 indexed citations
9.
Young, Geneva, Kai Wang, Jie He, et al.. (2013). Clinical next‐generation sequencing successfully applied to fine‐needle aspirations of pulmonary and pancreatic neoplasms. Cancer Cytopathology. 121(12). 688–694. 98 indexed citations
10.
Krivtsov, Andrei V., Xujun Wang, Noushin Farnoud, et al.. (2013). Patient Derived Xenograft (PDX) Models Faithfully Recapitulate The Genetic Composition Of Primary AML. Blood. 122(21). 1328–1328. 1 indexed citations
11.
Rampal, Raajit K., Sean M. Devlin, Jay P. Patel, et al.. (2013). Integrated Genetic Profiling Of JAK2 Wildtype Chronic-Phase Myeloproliferative Neoplasms. Blood. 122(21). 1588–1588.
12.
Alpaugh, R. Katherine, et al.. (2013). Abstract P6-12-07: Prevalence of propionibacterium acnes and bartonella henselae DNA in patients with inflammatory breast cancer (IBC). Cancer Research. 73(24_Supplement). P6–12. 1 indexed citations
13.
Meltzer, Robert H., Lisa W. Kwok, R. E. Allen, et al.. (2011). A lab-on-chip for biothreat detection using single-molecule DNA mapping. Lab on a Chip. 11(5). 863–863. 34 indexed citations
14.
Brenner, Michael D., et al.. (2010). Multivector Fluorescence Analysis of the xpt Guanine Riboswitch Aptamer Domain and the Conformational Role of Guanine. Biochemistry. 49(8). 1596–1605. 55 indexed citations
15.
Hohng, Sungchul, Ruobo Zhou, Michelle Nahas, et al.. (2007). Fluorescence-Force Spectroscopy Maps Two-Dimensional Reaction Landscape of the Holliday Junction. Science. 318(5848). 279–283. 223 indexed citations
16.
Wilson, Timothy J., Michelle Nahas, Lisa Araki, et al.. (2006). RNA folding and the origins of catalytic activity in the hairpin ribozyme. Blood Cells Molecules and Diseases. 38(1). 8–14. 20 indexed citations
17.
Wilson, Timothy J., Michelle Nahas, Taekjip Ha, & David M.J. Lilley. (2005). Folding and catalysis of the hairpin ribozyme. Biochemical Society Transactions. 33(3). 461–465. 29 indexed citations
18.
Nahas, Michelle, et al.. (2004). Observation of internal cleavage and ligation reactions of a ribozyme. Nature Structural & Molecular Biology. 11(11). 1107–1113. 88 indexed citations
19.
McKinney, Sean, Timothy J. Wilson, Michelle Nahas, et al.. (2004). Single-molecule studies of DNA and RNA four-way junctions. Biochemical Society Transactions. 32(1). 41–45. 23 indexed citations
20.
Wilson, Timothy J., et al.. (2003). A four-way junction accelerates hairpin ribozyme folding via a discrete intermediate. Proceedings of the National Academy of Sciences. 100(16). 9308–9313. 155 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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