Molly Megraw

4.7k total citations · 1 hit paper
33 papers, 3.3k citations indexed

About

Molly Megraw is a scholar working on Molecular Biology, Plant Science and Cancer Research. According to data from OpenAlex, Molly Megraw has authored 33 papers receiving a total of 3.3k indexed citations (citations by other indexed papers that have themselves been cited), including 27 papers in Molecular Biology, 21 papers in Plant Science and 10 papers in Cancer Research. Recurrent topics in Molly Megraw's work include Plant Molecular Biology Research (16 papers), MicroRNA in disease regulation (8 papers) and Genomics and Chromatin Dynamics (8 papers). Molly Megraw is often cited by papers focused on Plant Molecular Biology Research (16 papers), MicroRNA in disease regulation (8 papers) and Genomics and Chromatin Dynamics (8 papers). Molly Megraw collaborates with scholars based in United States, Greece and Germany. Molly Megraw's co-authors include Artemis G. Hatzigeorgiou, Praveen Sethupathy, Sergei A. Filichkin, Todd C. Mockler, Kazuko Nishikura, Hisashi Iizasa, Nuo Yang, Joel Greshock, Barbara Weber and Tara L. Naylor and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Nucleic Acids Research and Journal of Biological Chemistry.

In The Last Decade

Molly Megraw

33 papers receiving 3.2k citations

Hit Papers

microRNAs exhibit high frequency genomic alterations in h... 2006 2026 2012 2019 2006 250 500 750

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Molly Megraw United States 20 2.7k 1.7k 867 148 127 33 3.3k
Xiang Ji China 18 1.6k 0.6× 723 0.4× 489 0.6× 196 1.3× 107 0.8× 39 1.9k
Melissa J. Fullwood Singapore 24 2.4k 0.9× 1.0k 0.6× 284 0.3× 131 0.9× 127 1.0× 53 2.8k
Laurey Comeau United States 15 2.5k 0.9× 915 0.5× 275 0.3× 296 2.0× 261 2.1× 16 3.3k
Zhenyu Xu China 24 2.5k 0.9× 539 0.3× 285 0.3× 124 0.8× 145 1.1× 45 2.9k
Joern Toedling Germany 19 1.7k 0.6× 507 0.3× 182 0.2× 144 1.0× 91 0.7× 31 2.0k
Martin Bonke Finland 7 1.9k 0.7× 277 0.2× 977 1.1× 103 0.7× 179 1.4× 8 2.4k
Hari Tammana United States 5 2.1k 0.8× 731 0.4× 219 0.3× 114 0.8× 81 0.6× 6 2.3k
Federico Zambelli Italy 22 1.4k 0.5× 311 0.2× 310 0.4× 162 1.1× 127 1.0× 44 1.7k
Chunxiao Xu China 15 964 0.4× 586 0.3× 205 0.2× 120 0.8× 198 1.6× 31 1.6k
Raffaella Santoro Switzerland 30 2.8k 1.0× 488 0.3× 313 0.4× 468 3.2× 220 1.7× 61 3.2k

Countries citing papers authored by Molly Megraw

Since Specialization
Citations

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

Fields of papers citing papers by Molly Megraw

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Molly Megraw

This figure shows the co-authorship network connecting the top 25 collaborators of Molly Megraw. A scholar is included among the top collaborators of Molly Megraw 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 Molly Megraw. Molly Megraw 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.
Schmitz, Robert J., Alexandre P. Marand, Xuan Zhang, et al.. (2021). Quality control and evaluation of plant epigenomics data. The Plant Cell. 34(1). 503–513. 18 indexed citations
2.
Philmus, Benjamin, et al.. (2020). Metabolomics analysis reveals both plant variety and choice of hormone treatment modulate vinca alkaloid production in Catharanthus roseus. Plant Direct. 4(9). e00267–e00267. 10 indexed citations
3.
Hoops, Stefan, Doaa Altarawy, Jane Glazebrook, et al.. (2019). PlantSimLab - a modeling and simulation web tool for plant biologists. BMC Bioinformatics. 20(1). 508–508. 5 indexed citations
4.
Ivanchenko, Maria G. & Molly Megraw. (2018). NanoCAGE-XL: An Approach to High-Confidence Transcription Start Site Sequencing. Methods in molecular biology. 1830. 225–237. 1 indexed citations
5.
Filichkin, Sergei A., et al.. (2018). Identification of transcription factors from NF-Y, NAC, and SPL families responding to osmotic stress in multiple tomato varieties. Plant Science. 274. 441–450. 9 indexed citations
6.
Megraw, Molly, et al.. (2017). IndeCut evaluates performance of network motif discovery algorithms. Bioinformatics. 34(9). 1514–1521. 5 indexed citations
7.
Filichkin, Sergei A. & Molly Megraw. (2017). DNase I SIM: A Simplified In-Nucleus Method for DNase I Hypersensitive Site Sequencing. Methods in molecular biology. 1629. 141–154. 1 indexed citations
8.
Sparks, Erin E., Allison Gaudinier, Song Li, et al.. (2016). Establishment of Expression in the SHORTROOT-SCARECROW Transcriptional Cascade through Opposing Activities of Both Activators and Repressors. Developmental Cell. 39(5). 585–596. 44 indexed citations
9.
Cumbie, Jason S., Maria G. Ivanchenko, & Molly Megraw. (2015). NanoCAGE-XL and CapFilter: an approach to genome wide identification of high confidence transcription start sites. BMC Genomics. 16(1). 597–597. 31 indexed citations
10.
Filichkin, Sergei A., Jason S. Cumbie, Palitha Dharmawardhana, et al.. (2015). Environmental Stresses Modulate Abundance and Timing of Alternatively Spliced Circadian Transcripts in Arabidopsis. Molecular Plant. 8(2). 207–227. 109 indexed citations
11.
Filichkin, Sergei A., Henry D. Priest, Molly Megraw, & Todd C. Mockler. (2015). Alternative splicing in plants: directing traffic at the crossroads of adaptation and environmental stress. Current Opinion in Plant Biology. 24. 125–135. 162 indexed citations
12.
Filichkin, Sergei A., Jason S. Cumbie, Pankaj Jaiswal, et al.. (2014). Environmental Stresses Modulate Abundance and Timing of Alternatively Spliced Circadian Transcripts in Arabidopsis. Molecular Plant. 56 indexed citations
13.
Iizasa, Hisashi, Nageswara R. Alla, Manolis Maragkakis, et al.. (2010). Editing of Epstein-Barr Virus-encoded BART6 MicroRNAs Controls Their Dicer Targeting and Consequently Affects Viral Latency*. Journal of Biological Chemistry. 285(43). 33358–33370. 204 indexed citations
14.
Alexiou, Panagiotis, Thanasis Vergoulis, George Prekas, et al.. (2009). miRGen 2.0: a database of microRNA genomic information and regulation. Nucleic Acids Research. 38(suppl_1). D137–D141. 112 indexed citations
15.
Megraw, Molly, Fernando Pereira, Shane T. Jensen, Uwe Ohler, & Artemis G. Hatzigeorgiou. (2009). A transcription factor affinity-based code for mammalian transcription initiation. Genome Research. 19(4). 644–656. 42 indexed citations
16.
Megraw, Molly & Artemis G. Hatzigeorgiou. (2009). MicroRNA Promoter Analysis. Methods in molecular biology. 592. 149–161. 21 indexed citations
17.
Szafranski, Karol, Molly Megraw, Martin Reczko, & Artemis G. Hatzigeorgiou. (2006). Support Vector Machines for Predicting microRNA Hairpins.. 270–276. 12 indexed citations
18.
Megraw, Molly, et al.. (2006). MicroRNA promoter element discovery in Arabidopsis. RNA. 12(9). 1612–1619. 148 indexed citations
19.
Megraw, Molly, et al.. (2006). miRGen: a database for the study of animal microRNA genomic organization and function. Nucleic Acids Research. 35(Database). D149–D155. 244 indexed citations
20.
Sethupathy, Praveen, Molly Megraw, & Artemis G. Hatzigeorgiou. (2006). A guide through present computational approaches for the identification of mammalian microRNA targets. Nature Methods. 3(11). 881–886. 459 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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