Michela Coan

525 total citations · 1 hit paper
7 papers, 271 citations indexed

About

Michela Coan is a scholar working on Molecular Biology, Cancer Research and Public Health, Environmental and Occupational Health. According to data from OpenAlex, Michela Coan has authored 7 papers receiving a total of 271 indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Molecular Biology, 3 papers in Cancer Research and 2 papers in Public Health, Environmental and Occupational Health. Recurrent topics in Michela Coan's work include RNA modifications and cancer (3 papers), Cancer-related molecular mechanisms research (2 papers) and RNA Research and Splicing (2 papers). Michela Coan is often cited by papers focused on RNA modifications and cancer (3 papers), Cancer-related molecular mechanisms research (2 papers) and RNA Research and Splicing (2 papers). Michela Coan collaborates with scholars based in Italy, Switzerland and Ireland. Michela Coan's co-authors include Simon Haefliger, Rory Johnson, Samir Ounzain, Gustavo Baldassarre, Riccardo Spizzo, Gian Luca Rampioni Vinciguerra, Andrea Vecchione, Alexandra Kraut, Dan Cacsire Castillo‐Tong and Daniela Califano and has published in prestigious journals such as Nature Reviews Genetics, Oncogene and International Journal of Molecular Sciences.

In The Last Decade

Michela Coan

7 papers receiving 271 citations

Hit Papers

align trajectories

What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

Targeting and engineering long non-coding RNAs for cancer therapy

2024 98 citations Michela Coan, Simon Haefliger et al. Nature Reviews Genetics profile →

Peers

Michela Coan

MB

CR

ONCOL

RM

PRM

Jinxiao Liang China

Evgeny Chirshev United States

Jiangnan Qiu China

Jayne Maidens Australia

Irene Campoy Spain

A.M. Newtson United States

Simona Frezzini Italy

Hui-Zi Chen United States

Carolina Sánchez Spain

Adrien Briaux France

Jinxiao Liang China

Michela Coan

218 ×1.0

MB

100 ×0.8

CR

83 ×1.4

ONCOL

35 ×1.3

RM

26 ×1.0

PRM

Citations per year, relative to Michela Coan Michela Coan (= 1×) peers Jinxiao Liang

Countries citing papers authored by Michela Coan

Since Specialization

Citations

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

Fields of papers citing papers by Michela Coan

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Michela Coan

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

All Works

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7 of 7 papers shown

1.

Coan, Michela, Simon Haefliger, Samir Ounzain, & Rory Johnson. (2024). Targeting and engineering long non-coding RNAs for cancer therapy. Nature Reviews Genetics. 25(8). 578–595. 98 indexed citations breakdown →

2.

Coan, Michela, Laura Cesaratto, Antonella Zucchetto, et al.. (2023). LINC01605 Is a Novel Target of Mutant p53 in Breast and Ovarian Cancer Cell Lines. International Journal of Molecular Sciences. 24(18). 13736–13736. 3 indexed citations

3.

Pellarin, Ilenia, Maura Sonego, Alessandra Dall’Acqua, et al.. (2020). Serum- and glucocorticoid- inducible kinase 2, SGK2, is a novel autophagy regulator and modulates platinum drugs response in cancer cells. Oncogene. 39(40). 6370–6386. 11 indexed citations

4.

Dapas, Barbara, Gabriele Pozzato, Sonia Zorzet, et al.. (2019). Effects of eEF1A1 targeting by aptamer/siRNA in chronic lymphocytic leukaemia cells. International Journal of Pharmaceutics. 574. 118895–118895. 13 indexed citations

5.

Sonego, Maura, Ilenia Pellarin, Gian Luca Rampioni Vinciguerra, et al.. (2019). USP1 links platinum resistance to cancer cell dissemination by regulating Snail stability. Science Advances. 5(5). eaav3235–eaav3235. 95 indexed citations

6.

Coan, Michela, Gian Luca Rampioni Vinciguerra, Laura Cesaratto, et al.. (2018). Exploring the Role of Fallopian Ciliated Cells in the Pathogenesis of High-Grade Serous Ovarian Cancer. International Journal of Molecular Sciences. 19(9). 2512–2512. 35 indexed citations

7.

Cesaratto, Laura, Eleonora Grisard, Michela Coan, et al.. (2016). BNC2 is a putative tumor suppressor gene in high-grade serous ovarian carcinoma and impacts cell survival after oxidative stress. Cell Death and Disease. 7(9). e2374–e2374. 16 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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