Genna M. Luciani

776 total citations
9 papers, 150 citations indexed

About

Genna M. Luciani is a scholar working on Molecular Biology, Hematology and Small Animals. According to data from OpenAlex, Genna M. Luciani has authored 9 papers receiving a total of 150 indexed citations (citations by other indexed papers that have themselves been cited), including 5 papers in Molecular Biology, 2 papers in Hematology and 1 paper in Small Animals. Recurrent topics in Genna M. Luciani's work include Epigenetics and DNA Methylation (3 papers), Acute Myeloid Leukemia Research (2 papers) and Cancer-related gene regulation (2 papers). Genna M. Luciani is often cited by papers focused on Epigenetics and DNA Methylation (3 papers), Acute Myeloid Leukemia Research (2 papers) and Cancer-related gene regulation (2 papers). Genna M. Luciani collaborates with scholars based in Canada, United States and Italy. Genna M. Luciani's co-authors include Peter J. Roy, Andrew R. Burns, Malene L. Urbanus, Carolyn L. Cummins, Guri Giaever, Corey Nislow, Iain M. Wallace, Dalia Baršytė-Lovejoy, Mathieu Lupien and Alex Murison and has published in prestigious journals such as Nature Communications, Nature Chemical Biology and Biochemical Pharmacology.

In The Last Decade

Genna M. Luciani

9 papers receiving 150 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Genna M. Luciani Canada	6	85	25	22	14	9	9	150
Ludovic Enkler France	10	211 2.5×	28 1.1×	7 0.3×	6 0.4×	10 1.1×	11	286
Chintan Joshi United States	10	256 3.0×	12 0.5×	27 1.2×	17 1.2×	17 1.9×	13	316
Imad Baaklini Canada	7	255 3.0×	18 0.7×	8 0.4×	6 0.4×	10 1.1×	7	300
Adhish S. Walvekar India	9	181 2.1×	26 1.0×	11 0.5×	14 1.0×	15 1.7×	16	230
Alex A. Javanpour United States	7	295 3.5×	25 1.0×	5 0.2×	4 0.3×	4 0.4×	7	320
Shaohuan Wu China	10	222 2.6×	65 2.6×	17 0.8×	21 1.5×	5 0.6×	12	307
Christine R. Zheng United States	3	261 3.1×	28 1.1×	14 0.6×	5 0.4×	6 0.7×	5	280
Nighat Noureen Pakistan	9	206 2.4×	41 1.6×	3 0.1×	26 1.9×	18 2.0×	23	278
Youjin Teo Switzerland	9	189 2.2×	6 0.2×	33 1.5×	19 1.4×	16 1.8×	9	322
Giulia I. Corsi Denmark	6	114 1.3×	16 0.6×	14 0.6×	13 0.9×	11 1.2×	9	144

Countries citing papers authored by Genna M. Luciani

Since Specialization

Citations

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

Fields of papers citing papers by Genna M. Luciani

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Genna M. Luciani. 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 Genna M. Luciani. The network helps show where Genna M. Luciani may publish in the future.

Co-authorship network of co-authors of Genna M. Luciani

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

All Works

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9 of 9 papers shown

1.

Luciani, Genna M., Victoria Vu, Raquel A. C. Machado, et al.. (2023). Epigenetic vulnerabilities of leukemia harboring inactivating EZH2 mutations. Experimental Hematology. 130. 104135–104135. 3 indexed citations

2.

Szewczyk, Magdalena M., Genna M. Luciani, Victoria Vu, et al.. (2022). PRMT5 regulates ATF4 transcript splicing and oxidative stress response. Redox Biology. 51. 102282–102282. 22 indexed citations

3.

Lima‐Fernandes, Evelyne, Alex Murison, Tiago da Silva Medina, et al.. (2019). Targeting bivalency de-represses Indian Hedgehog and inhibits self-renewal of colorectal cancer-initiating cells. Nature Communications. 10(1). 1436–1436. 29 indexed citations

4.

Fong, Jia Yi, Diana Low, Luca Pignata, et al.. (2019). Abstract 4731: Therapeutic targeting of RNA splicing through inhibition of protein arginine methylation. 4731–4731. 2 indexed citations

5.

Luciani, Genna M., Lihua Xie, David Dilworth, et al.. (2018). Characterization of inv(3) cell line OCI-AML-20 with stroma-dependent CD34 expression. Experimental Hematology. 69. 27–36. 3 indexed citations

6.

Burns, Andrew R., et al.. (2017). The novel nematicide wact-86 interacts with aldicarb to kill nematodes. PLoS neglected tropical diseases. 11(4). e0005502–e0005502. 23 indexed citations

7.

Khare, Vineeta, Alex Lyakhovich, Kyle Dammann, et al.. (2013). Mesalamine modulates intercellular adhesion intercellularadhesion through inhibition of p-21 activated kinase-1. Biochemical Pharmacology. 85(2). 6 indexed citations

8.

Wallace, Iain M., Malene L. Urbanus, Genna M. Luciani, et al.. (2011). Compound Prioritization Methods Increase Rates of Chemical Probe Discovery in Model Organisms. Chemistry & Biology. 18(10). 1273–1283. 38 indexed citations

9.

Luciani, Genna M., Lilia Magomedova, Malene L. Urbanus, et al.. (2011). Dafadine inhibits DAF-9 to promote dauer formation and longevity of Caenorhabditis elegans. Nature Chemical Biology. 7(12). 891–893. 24 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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