Michelle Lacey

4.5k total citations
75 papers, 3.2k citations indexed

About

Michelle Lacey is a scholar working on Molecular Biology, Cancer Research and Genetics. According to data from OpenAlex, Michelle Lacey has authored 75 papers receiving a total of 3.2k indexed citations (citations by other indexed papers that have themselves been cited), including 45 papers in Molecular Biology, 12 papers in Cancer Research and 9 papers in Genetics. Recurrent topics in Michelle Lacey's work include Epigenetics and DNA Methylation (21 papers), RNA modifications and cancer (19 papers) and Cancer-related gene regulation (12 papers). Michelle Lacey is often cited by papers focused on Epigenetics and DNA Methylation (21 papers), RNA modifications and cancer (19 papers) and Cancer-related gene regulation (12 papers). Michelle Lacey collaborates with scholars based in United States, United Kingdom and Canada. Michelle Lacey's co-authors include Melanie Ehrlich, Katie C. Russell, Kim C. O’Connor, Erik K. Flemington, Donald G. Phinney, Zhen Lin, Carl Baribault, Jennifer Cameron, Claire Fewell and Qinyan Yin and has published in prestigious journals such as Nucleic Acids Research, SHILAP Revista de lepidopterología and PLoS ONE.

In The Last Decade

Michelle Lacey

72 papers receiving 3.2k 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 Lacey United States 31 1.8k 777 505 477 394 75 3.2k
Hongbing Jiang China 34 1.8k 1.0× 714 0.9× 560 1.1× 312 0.7× 338 0.9× 164 3.4k
Zhuo Wang United States 32 1.8k 1.0× 447 0.6× 294 0.6× 398 0.8× 315 0.8× 66 3.3k
Xuemei Cao United States 18 1.5k 0.8× 590 0.8× 487 1.0× 228 0.5× 239 0.6× 44 3.0k
Michael Cross Germany 33 1.7k 0.9× 568 0.7× 591 1.2× 552 1.2× 278 0.7× 136 3.9k
Leonardo A. Meza‐Zepeda Norway 37 2.6k 1.4× 1.4k 1.8× 1.0k 2.0× 277 0.6× 290 0.7× 101 4.4k
Linda Karlsson Sweden 21 2.8k 1.5× 558 0.7× 601 1.2× 250 0.5× 920 2.3× 46 4.9k
Francisco Martı́n Spain 30 1.7k 0.9× 284 0.4× 554 1.1× 382 0.8× 204 0.5× 119 3.0k
Melody Baddoo United States 28 1.4k 0.8× 649 0.8× 838 1.7× 1.2k 2.4× 731 1.9× 72 3.5k
Shirley M. Taylor United States 26 3.8k 2.1× 622 0.8× 844 1.7× 295 0.6× 571 1.4× 43 5.6k
Sarah Netzel–Arnett United States 23 1.0k 0.6× 755 1.0× 530 1.0× 170 0.4× 369 0.9× 26 2.8k

Countries citing papers authored by Michelle Lacey

Since Specialization
Citations

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

Fields of papers citing papers by Michelle Lacey

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Michelle Lacey

This figure shows the co-authorship network connecting the top 25 collaborators of Michelle Lacey. A scholar is included among the top collaborators of Michelle Lacey 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 Lacey. Michelle Lacey 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.
Mock, Nancy B., et al.. (2023). Multivariate analysis of food consumption profiles in crisis settings. PLoS ONE. 18(3). e0283627–e0283627. 1 indexed citations
2.
Simkin, Jennifer, et al.. (2021). Age-Dependent Changes in Bone Architecture, Patterning, and Biomechanics During Skeletal Regeneration. Frontiers in Cell and Developmental Biology. 9. 749055–749055. 5 indexed citations
3.
Lacey, Michelle, Carl Baribault, Kenneth C. Ehrlich, & Melanie Ehrlich. (2019). Data showing atherosclerosis-associated differentially methylated regions are often at enhancers. SHILAP Revista de lepidopterología. 23. 103812–103812. 8 indexed citations
4.
Wang, Mei, Andrew B. Sholl, David B. Tulman, et al.. (2015). High-Resolution Rapid Diagnostic Imaging of Whole Prostate Biopsies Using Video-Rate Fluorescence Structured Illumination Microscopy. Cancer Research. 75(19). 4032–4041. 52 indexed citations
5.
Azimi, Mohammad S., Leann Myers, Michelle Lacey, et al.. (2015). An Ex Vivo Model for Anti-Angiogenic Drug Testing on Intact Microvascular Networks. PLoS ONE. 10(3). e0119227–e0119227. 21 indexed citations
6.
Chandra, Sruti, Jolyon Terragni, Guoqiang Zhang, et al.. (2015). Tissue-specific epigenetics in gene neighborhoods: myogenic transcription factor genes. Human Molecular Genetics. 24(16). 4660–4673. 18 indexed citations
7.
Yang, Guo‐Yuan, Michelle Lacey, Jeffrey I. Gordon, et al.. (2014). Education. Modern Pathology. 27. 145–150. 5 indexed citations
8.
Yang, Guan‐Jun, Michelle Lacey, Qi Zhang, et al.. (2014). Education. Laboratory Investigation. 94. 145–150. 1 indexed citations
9.
Terragni, Jolyon, Guoqiang Zhang, Zhiyi Sun, et al.. (2014). Notch signaling genes. Epigenetics. 9(6). 842–850. 40 indexed citations
10.
Strong, Michael J., Guorong Xu, Joseph Coco, et al.. (2013). Differences in Gastric Carcinoma Microenvironment Stratify According to EBV Infection Intensity: Implications for Possible Immune Adjuvant Therapy. PLoS Pathogens. 9(5). e1003341–e1003341. 128 indexed citations
11.
Wang, Guangdi, Peng Ma, Qiang Zhang, et al.. (2012). Endocrine disrupting chemicals in New Orleans surface waters and Mississippi Sound sediments. Journal of Environmental Monitoring. 14(5). 1353–1353. 38 indexed citations
12.
Ehrlich, Melanie & Michelle Lacey. (2012). Deciphering transcription dysregulation in FSH muscular dystrophy. Journal of Human Genetics. 57(8). 477–484. 5 indexed citations
13.
Tsumagari, Koji, Michelle Lacey, Carl Baribault, et al.. (2011). Gene expression during normal and FSHD myogenesis. BMC Medical Genomics. 4(1). 67–67. 81 indexed citations
14.
Xu, Guorong, Claire Fewell, Christopher M. Taylor, et al.. (2010). Transcriptome and targetome analysis in MIR155 expressing cells using RNA-seq. RNA. 16(8). 1610–1622. 52 indexed citations
15.
Lacey, Michelle & Melanie Ehrlich. (2009). Modeling Dependence in Methylation Patterns with Application to Ovarian Carcinomas. Statistical Applications in Genetics and Molecular Biology. 8(1). Article 40–Article 40. 11 indexed citations
16.
Pardo, Rafael I. & Michelle Lacey. (2008). The Real Student-Loan Scandal: Undue Hardship Discharge Litigation. SSRN Electronic Journal. 6 indexed citations
17.
Lacey, Michelle & Joseph T. Chang. (2006). A signal-to-noise analysis of phylogeny estimation by neighbor-joining: Insufficiency of polynomial length sequences. Mathematical Biosciences. 199(2). 188–215. 10 indexed citations
18.
Pardo, Rafael I. & Michelle Lacey. (2005). UNDUE HARDSHIP IN THE BANKRUPTCY COURTS: AN EMPIRICAL ASSESSMENT OF THE DISCHARGE OF EDUCATIONAL DEBT. University of Cincinnati law review. 74(2). 3. 7 indexed citations
19.
Leamon, John H., Tanja Pejović, Stefan Hamann, et al.. (2003). Whole Genome Analysis of Genetic Alterations in Small DNA Samples Using Hyperbranched Strand Displacement Amplification and Array–CGH. Genome Research. 13(2). 294–307. 212 indexed citations
20.
Lacey, Michelle. (1978). Studies of pulmonary innervation in the rat using horseradish peroxidase as a neuronal marker [proceedings].. Munich Personal RePEc Archive (Ludwig Maximilian University of Munich). 277. 16P–18P. 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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