Carla P. Concepcion

2.2k total citations · 1 hit paper
8 papers, 1.4k citations indexed

About

Carla P. Concepcion is a scholar working on Cancer Research, Molecular Biology and Behavioral Neuroscience. According to data from OpenAlex, Carla P. Concepcion has authored 8 papers receiving a total of 1.4k indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Cancer Research, 7 papers in Molecular Biology and 1 paper in Behavioral Neuroscience. Recurrent topics in Carla P. Concepcion's work include MicroRNA in disease regulation (7 papers), RNA Research and Splicing (3 papers) and Circular RNAs in diseases (3 papers). Carla P. Concepcion is often cited by papers focused on MicroRNA in disease regulation (7 papers), RNA Research and Splicing (3 papers) and Circular RNAs in diseases (3 papers). Carla P. Concepcion collaborates with scholars based in United States, Italy and France. Carla P. Concepcion's co-authors include Andrea Ventura, Ciro Bonetti, Paul Ogrodowski, Joana A. Vidigal, Scott W. Lowe, Danilo Maddalo, Eusebio Manchado, Elisa de Stanchina, Alessandra Crippa and Natasha Rekhtman and has published in prestigious journals such as Nature, Proceedings of the National Academy of Sciences and Nature Genetics.

In The Last Decade

Carla P. Concepcion

8 papers receiving 1.4k citations

Hit Papers

In vivo engineering of on... 2014 2026 2018 2022 2014 100 200 300 400

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Carla P. Concepcion United States 8 1.1k 722 173 171 86 8 1.4k
Ciro Bonetti Italy 9 944 0.8× 406 0.6× 189 1.1× 139 0.8× 68 0.8× 10 1.2k
Tamar Tenne Israel 11 618 0.6× 303 0.4× 227 1.3× 123 0.7× 77 0.9× 19 1.1k
Anne Harrington United States 13 1.1k 1.0× 112 0.2× 289 1.7× 74 0.4× 95 1.1× 20 1.5k
P. Dane Witmer United States 11 747 0.7× 598 0.8× 119 0.7× 90 0.5× 82 1.0× 14 1.1k
Victoria L. Hall United States 8 353 0.3× 204 0.3× 154 0.9× 245 1.4× 22 0.3× 10 739
Francesco Chemello Italy 18 1.2k 1.0× 227 0.3× 214 1.2× 31 0.2× 64 0.7× 34 1.4k
Helene Kretzmer Germany 14 1.2k 1.0× 149 0.2× 184 1.1× 75 0.4× 46 0.5× 29 1.3k
Martin A. Newman United States 12 2.6k 2.3× 2.0k 2.8× 182 1.1× 93 0.5× 90 1.0× 16 2.9k
Annalisa Di Ruscio Italy 19 1.1k 1.0× 307 0.4× 102 0.6× 167 1.0× 112 1.3× 36 1.5k
Eugene Khandros United States 18 726 0.7× 165 0.2× 81 0.5× 53 0.3× 75 0.9× 42 1.2k

Countries citing papers authored by Carla P. Concepcion

Since Specialization
Citations

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

Fields of papers citing papers by Carla P. Concepcion

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Carla P. Concepcion. 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 Carla P. Concepcion. The network helps show where Carla P. Concepcion may publish in the future.

Co-authorship network of co-authors of Carla P. Concepcion

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

All Works

8 of 8 papers shown
1.
Li, Xiaoyi, Yuri Pritykin, Carla P. Concepcion, et al.. (2020). High-Resolution In Vivo Identification of miRNA Targets by Halo-Enhanced Ago2 Pull-Down. Molecular Cell. 79(1). 167–179.e11. 29 indexed citations
2.
Andolina, Diego, Matteo Di Segni, Elisa Bisicchia, et al.. (2016). Effects of lack of microRNA-34 on the neural circuitry underlying the stress response and anxiety. Neuropharmacology. 107. 305–316. 57 indexed citations
3.
Vidigal, Joana A., Ping Mu, Evelyn Yao, et al.. (2015). An allelic series of miR-17∼92–mutant mice uncovers functional specialization and cooperation among members of a microRNA polycistron. Nature Genetics. 47(7). 766–775. 88 indexed citations
4.
Maddalo, Danilo, Eusebio Manchado, Carla P. Concepcion, et al.. (2014). In vivo engineering of oncogenic chromosomal rearrangements with the CRISPR/Cas9 system. Nature. 516(7531). 423–427. 468 indexed citations breakdown →
5.
Concepcion, Carla P., Ciro Bonetti, & Andrea Ventura. (2012). The MicroRNA-17-92 Family of MicroRNA Clusters in Development and Disease. The Cancer Journal. 18(3). 262–267. 220 indexed citations
6.
Concepcion, Carla P., Ping Mu, Ciro Bonetti, et al.. (2012). Intact p53-Dependent Responses in miR-34–Deficient Mice. PLoS Genetics. 8(7). e1002797–e1002797. 164 indexed citations
7.
Agostini, Massimiliano, Paola Tucci, Joern R. Steinert, et al.. (2011). microRNA-34a regulates neurite outgrowth, spinal morphology, and function. Proceedings of the National Academy of Sciences. 108(52). 21099–21104. 161 indexed citations
8.
Lal, Ashish, Marshall P. Thomas, Gabriel Altschuler, et al.. (2011). Capture of MicroRNA–Bound mRNAs Identifies the Tumor Suppressor miR-34a as a Regulator of Growth Factor Signaling. PLoS Genetics. 7(11). e1002363–e1002363. 199 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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