Jorge de la Rosa

1.5k total citations
9 papers, 526 citations indexed

About

Jorge de la Rosa is a scholar working on Molecular Biology, Cancer Research and Genetics. According to data from OpenAlex, Jorge de la Rosa has authored 9 papers receiving a total of 526 indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Molecular Biology, 4 papers in Cancer Research and 2 papers in Genetics. Recurrent topics in Jorge de la Rosa's work include RNA Research and Splicing (3 papers), CRISPR and Genetic Engineering (2 papers) and RNA Interference and Gene Delivery (2 papers). Jorge de la Rosa is often cited by papers focused on RNA Research and Splicing (3 papers), CRISPR and Genetic Engineering (2 papers) and RNA Interference and Gene Delivery (2 papers). Jorge de la Rosa collaborates with scholars based in Spain, United Kingdom and Germany. Jorge de la Rosa's co-authors include Juan Cadiñanos, José M.P. Freije, Alejandro P. Ugalde, Carlos López-Otı́n, Imran Noorani, Andrew Ramsay, Ignacio Varela, Guillermo Mariño, Jun Lü and Allan Bradley and has published in prestigious journals such as Science, Nature Communications and The EMBO Journal.

In The Last Decade

Jorge de la Rosa

9 papers receiving 516 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Jorge de la Rosa Spain	7	422	181	59	56	39	9	526
Mina Kojima United States	8	398 0.9×	114 0.6×	59 1.0×	36 0.6×	24 0.6×	10	534
Shane R. Horman United States	10	268 0.6×	129 0.7×	113 1.9×	69 1.2×	34 0.9×	19	477
Acong Yang China	16	759 1.8×	318 1.8×	66 1.1×	107 1.9×	29 0.7×	26	896
Svitlana Melnik Germany	13	397 0.9×	81 0.4×	51 0.9×	37 0.7×	13 0.3×	20	499
Michiyo Koyanagi‐Aoi Japan	11	476 1.1×	64 0.4×	105 1.8×	88 1.6×	35 0.9×	24	628
Ingegerd Elvers Sweden	11	578 1.4×	126 0.7×	115 1.9×	132 2.4×	26 0.7×	14	710
Cátia Igreja Germany	20	943 2.2×	105 0.6×	47 0.8×	69 1.2×	19 0.5×	29	1.0k
Rebecca A. Keough Australia	12	393 0.9×	66 0.4×	57 1.0×	83 1.5×	24 0.6×	16	518
Arven Saunders United States	8	624 1.5×	53 0.3×	71 1.2×	59 1.1×	19 0.5×	9	711
Rocio Enriquez-Gasca United Kingdom	7	478 1.1×	62 0.3×	43 0.7×	49 0.9×	23 0.6×	7	627

Countries citing papers authored by Jorge de la Rosa

Since Specialization

Citations

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

Fields of papers citing papers by Jorge de la Rosa

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Jorge de la Rosa. 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 Jorge de la Rosa. The network helps show where Jorge de la Rosa may publish in the future.

Co-authorship network of co-authors of Jorge de la Rosa

This figure shows the co-authorship network connecting the top 25 collaborators of Jorge de la Rosa. A scholar is included among the top collaborators of Jorge de la Rosa 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 Jorge de la Rosa. Jorge de la Rosa 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.

Noorani, Imran & Jorge de la Rosa. (2023). Breaking barriers for glioblastoma with a path to enhanced drug delivery. Nature Communications. 14(1). 5909–5909. 39 indexed citations

2.

Noorani, Imran, Allan Bradley, & Jorge de la Rosa. (2020). CRISPR and transposon in vivo screens for cancer drivers and therapeutic targets. Genome biology. 21(1). 204–204. 16 indexed citations

3.

Rosa, Jorge de la, Julia Weber, Roland Rad, Allan Bradley, & Juan Cadiñanos. (2017). Disentangling PTEN-cooperating tumor suppressor gene networks in cancer. Molecular & Cellular Oncology. 4(4). e1325550–e1325550. 5 indexed citations

4.

Rosa, Jorge de la, José M.P. Freije, Rubén Cabanillas, et al.. (2013). Prelamin A causes progeria through cell-extrinsic mechanisms and prevents cancer invasion. Nature Communications. 4(1). 2268–2268. 57 indexed citations

5.

Osorio, Fernando G., Jorge de la Rosa, & José M.P. Freije. (2013). Luminescence-based in vivo monitoring of NF-κB activity through a gene delivery approach. Cell Communication and Signaling. 11(1). 19–19. 8 indexed citations

6.

Cabanillas, Rubén, et al.. (2011). Novel germline CDKN2A mutation associated with head and neck squamous cell carcinomas and melanomas. Head & Neck. 35(3). E80–4. 18 indexed citations

7.

Ugalde, Alejandro P., Andrew Ramsay, Jorge de la Rosa, et al.. (2011). Aging and chronic DNA damage response activate a regulatory pathway involving miR‐29 and p53. The EMBO Journal. 30(11). 2219–2232. 198 indexed citations

8.

Cadiñanos, Juan, et al.. (2010). Novel germline SDHD deletion associated with an unusual sympathetic head and neck paraganglioma. Head & Neck. 33(8). 1233–1240. 3 indexed citations

9.

Rad, Roland, Lena Rad, Wei Wang, et al.. (2010). PiggyBac Transposon Mutagenesis: A Tool for Cancer Gene Discovery in Mice. Science. 330(6007). 1104–1107. 182 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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