Anna L. Guarnieri

654 total citations
9 papers, 469 citations indexed

About

Anna L. Guarnieri is a scholar working on Oncology, Molecular Biology and Cancer Research. According to data from OpenAlex, Anna L. Guarnieri has authored 9 papers receiving a total of 469 indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Oncology, 5 papers in Molecular Biology and 4 papers in Cancer Research. Recurrent topics in Anna L. Guarnieri's work include Cancer-related Molecular Pathways (4 papers), Epigenetics and DNA Methylation (3 papers) and Mast cells and histamine (2 papers). Anna L. Guarnieri is often cited by papers focused on Cancer-related Molecular Pathways (4 papers), Epigenetics and DNA Methylation (3 papers) and Mast cells and histamine (2 papers). Anna L. Guarnieri collaborates with scholars based in United States, Australia and Italy. Anna L. Guarnieri's co-authors include Joaquı́n M. Espinosa, Zdeněk Andrysík, Kelly D. Sullivan, Matthew D. Galbraith, Ahwan Pandey, Xin Luo, Mary A. Allen, Robin D. Dowell, W. Lee Kraus and Hestia Mellert and has published in prestigious journals such as Nature Communications, Blood and Cancer Research.

In The Last Decade

Anna L. Guarnieri

9 papers receiving 464 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Anna L. Guarnieri United States 6 401 193 173 35 26 9 469
Seong-Jun Cho United States 9 327 0.8× 121 0.6× 111 0.6× 46 1.3× 15 0.6× 9 387
Jude Alsarraj United States 6 356 0.9× 141 0.7× 115 0.7× 22 0.6× 18 0.7× 6 469
Renèe B. Schulz Australia 7 291 0.7× 158 0.8× 147 0.8× 30 0.9× 30 1.2× 7 402
Aya Uchiyama Japan 8 248 0.6× 254 1.3× 110 0.6× 61 1.7× 15 0.6× 10 373
Joël P. Charles Germany 7 262 0.7× 175 0.9× 62 0.4× 24 0.7× 19 0.7× 8 347
Hugh Gannon United States 9 370 0.9× 163 0.8× 92 0.5× 79 2.3× 28 1.1× 14 474
Jutta Moehlenbrink Germany 7 484 1.2× 158 0.8× 83 0.5× 32 0.9× 14 0.5× 7 538
Gabriela Koifman Israel 11 342 0.9× 261 1.4× 150 0.9× 37 1.1× 48 1.8× 12 486
Dhruba Deb United States 8 310 0.8× 171 0.9× 155 0.9× 30 0.9× 29 1.1× 11 454
Tristan Gicquel France 4 244 0.6× 216 1.1× 238 1.4× 49 1.4× 18 0.7× 7 442

Countries citing papers authored by Anna L. Guarnieri

Since Specialization
Citations

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

Fields of papers citing papers by Anna L. Guarnieri

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Anna L. Guarnieri. 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 Anna L. Guarnieri. The network helps show where Anna L. Guarnieri may publish in the future.

Co-authorship network of co-authors of Anna L. Guarnieri

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

All Works

9 of 9 papers shown
1.
Szwarc, Maria M., Anna L. Guarnieri, Molishree Joshi, et al.. (2023). FAM193A is a positive regulator of p53 activity. Cell Reports. 42(3). 112230–112230. 5 indexed citations
3.
Guarnieri, Anna L., Mark J. Chicarelli, Karyn Bouhana, et al.. (2021). Preclinical Data with KIT D816V Inhibitor Bezuclastinib (CGT9486) Demonstrates High Selectivity and Minimal Brain Penetrance. Blood. 138(Supplement 1). 4595–4595. 8 indexed citations
4.
Guarnieri, Anna L., Mark J. Chicarelli, Francis Sullivan, et al.. (2021). Abstract P257: Preclinical data identifies bezuclastinib as a differentiated KIT inhibitor with unique selectivity to KIT D816V and minimal evidence of brain penetration. Molecular Cancer Therapeutics. 20(12_Supplement). P257–P257. 1 indexed citations
5.
Guarnieri, Anna L., Christina G. Towers, David Drasin, et al.. (2018). The miR-106b-25 cluster mediates breast tumor initiation through activation of NOTCH1 via direct repression of NEDD4L. Oncogene. 37(28). 3879–3893. 51 indexed citations
6.
Andrysík, Zdeněk, Matthew D. Galbraith, Anna L. Guarnieri, et al.. (2017). Identification of a core TP53 transcriptional program with highly distributed tumor suppressive activity. Genome Research. 27(10). 1645–1657. 108 indexed citations
7.
Drasin, David, Anna L. Guarnieri, Deepika Neelakantan, et al.. (2015). TWIST1-Induced miR-424 Reversibly Drives Mesenchymal Programming while Inhibiting Tumor Initiation. Cancer Research. 75(9). 1908–1921. 49 indexed citations
8.
Towers, Christina G., Anna L. Guarnieri, Douglas S. Micalizzi, et al.. (2015). The Six1 oncoprotein downregulates p53 via concomitant regulation of RPL26 and microRNA-27a-3p. Nature Communications. 6(1). 10077–10077. 50 indexed citations
9.
Allen, Mary A., Zdeněk Andrysík, Hestia Mellert, et al.. (2014). Global analysis of p53-regulated transcription identifies its direct targets and unexpected regulatory mechanisms. eLife. 3. e02200–e02200. 194 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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