Francisco Romero

3.0k total citations
70 papers, 2.5k citations indexed

About

Francisco Romero is a scholar working on Molecular Biology, Cell Biology and Oncology. According to data from OpenAlex, Francisco Romero has authored 70 papers receiving a total of 2.5k indexed citations (citations by other indexed papers that have themselves been cited), including 45 papers in Molecular Biology, 19 papers in Cell Biology and 15 papers in Oncology. Recurrent topics in Francisco Romero's work include Ubiquitin and proteasome pathways (16 papers), Microtubule and mitosis dynamics (15 papers) and Cancer-related Molecular Pathways (9 papers). Francisco Romero is often cited by papers focused on Ubiquitin and proteasome pathways (16 papers), Microtubule and mitosis dynamics (15 papers) and Cancer-related Molecular Pathways (9 papers). Francisco Romero collaborates with scholars based in Spain, France and United States. Francisco Romero's co-authors include Marı́a Tortolero, José A. Pintor‐Toro, Jacques Camonis, Francisco Ramos‐Morales, Miguel Á. Japón, Carmen Sáez, Siegmund Fischer, A Tavitian, Roland Berger and D. G. GRAVALOS and has published in prestigious journals such as Nucleic Acids Research, Journal of Biological Chemistry and Nature Genetics.

In The Last Decade

Francisco Romero

67 papers receiving 2.4k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Francisco Romero Spain 27 1.6k 544 473 364 353 70 2.5k
Eiman Aleem United States 20 1.1k 0.7× 417 0.8× 776 1.6× 89 0.2× 202 0.6× 39 1.8k
Véronique Baldin France 29 3.2k 2.0× 1.1k 2.0× 1.5k 3.1× 62 0.2× 430 1.2× 48 4.0k
Shigeru Sakiyama Japan 34 2.4k 1.6× 347 0.6× 935 2.0× 70 0.2× 709 2.0× 124 3.8k
M. Mareel Belgium 19 2.7k 1.7× 716 1.3× 898 1.9× 87 0.2× 323 0.9× 46 3.6k
Sing Rong United States 16 2.1k 1.4× 331 0.6× 798 1.7× 74 0.2× 369 1.0× 23 3.2k
Kunio Kitada Japan 20 1.6k 1.0× 290 0.5× 576 1.2× 56 0.2× 441 1.2× 39 2.3k
Xavier Graña United States 31 2.8k 1.8× 514 0.9× 2.1k 4.5× 55 0.2× 440 1.2× 63 4.0k
Åke P. Elhammer United States 24 1.3k 0.8× 213 0.4× 128 0.3× 99 0.3× 158 0.4× 47 1.8k
Danielle Derocq France 24 1.1k 0.7× 265 0.5× 529 1.1× 108 0.3× 651 1.8× 28 2.1k
Nina Dathan Italy 28 2.8k 1.8× 241 0.4× 436 0.9× 529 1.5× 186 0.5× 48 3.6k

Countries citing papers authored by Francisco Romero

Since Specialization
Citations

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

Fields of papers citing papers by Francisco Romero

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Francisco Romero

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

All Works

20 of 20 papers shown
1.
2.
Sáez, Carmen, et al.. (2022). Cisplatin-induced cell death increases the degradation of the MRE11-RAD50-NBS1 complex through the autophagy/lysosomal pathway. Cell Death and Differentiation. 30(2). 488–499. 7 indexed citations
3.
Bernal-Bayard, Joaquín, et al.. (2020). Tubulin Folding Cofactor TBCB is a Target of the Salmonella Effector Protein SseK1. International Journal of Molecular Sciences. 21(9). 3193–3193. 7 indexed citations
4.
Sáez, Carmen, et al.. (2020). p53 and FBXW7: Sometimes Two Guardians Are Worse than One. Cancers. 12(4). 985–985. 12 indexed citations
5.
Pérez‐Valderrama, Begoña, Cristina Tejera‐Parrado, R.A. Medina López, et al.. (2018). Obatoclax and Paclitaxel Synergistically Induce Apoptosis and Overcome Paclitaxel Resistance in Urothelial Cancer Cells. Cancers. 10(12). 490–490. 25 indexed citations
6.
Sáez, Carmen, et al.. (2017). Both p62/SQSTM1-HDAC6-dependent autophagy and the aggresome pathway mediate CDK1 degradation in human breast cancer. Scientific Reports. 7(1). 10078–10078. 35 indexed citations
7.
Castilla, Carolina, R.A. Medina López, Begoña Pérez‐Valderrama, et al.. (2016). Loss of PKCδ Induces Prostate Cancer Resistance to Paclitaxel through Activation of Wnt/β-Catenin Pathway and Mcl-1 Accumulation. Molecular Cancer Therapeutics. 15(7). 1713–1725. 19 indexed citations
8.
Castilla, Carolina, R.A. Medina López, Begoña Pérez‐Valderrama, et al.. (2014). Prostate Cancer Cell Response to Paclitaxel Is Affected by Abnormally Expressed Securin PTTG1. Molecular Cancer Therapeutics. 13(10). 2372–2383. 18 indexed citations
9.
Yang, Pengfei, et al.. (2010). Antibiotic sensitivity profile of bacterial isolates from buffalo uteri.. 21. 432–437. 1 indexed citations
10.
Menéndez‐Buxadera, A., et al.. (2008). Estimates of genetic parameters of milk yield and milk composition using random regression model in Payoya goat.. Universidad de Córdoba Insitutional Repository (Universidad de Córdoba). 104(2). 127–132. 2 indexed citations
11.
Romero, Francisco, et al.. (2004). In Vivo Immunomodulation by Mycoplasma fermentans Membrane Lipoprotein. Current Microbiology. 48(3). 237–239. 8 indexed citations
12.
Ruiz‐Bravo, Alfonso, et al.. (2003). Immunomodulation byYersinia enterocolitica: comparison of live and heat-killed bacteria. FEMS Immunology & Medical Microbiology. 39(3). 229–233. 4 indexed citations
13.
Romero, Francisco, et al.. (2003). IB-00208, a New Cytotoxic Polycyclic Xanthone Produced by a Marine-derived Actinomadura. I. Isolation of the Strain, Taxonomy and Biological Activites.. The Journal of Antibiotics. 56(3). 219–225. 48 indexed citations
14.
Cañedo, Librada M., et al.. (2000). IB-96212, a Novel Cytotoxic Macrolide Produced by a Marine Micromonospora. I. Taxonomy, Fermentation, Isolation and Biological Activities.. The Journal of Antibiotics. 53(5). 474–478. 28 indexed citations
15.
Romero, Francisco. (1999). Aiolos transcription factor controls cell death in Tcells by regulating Bcl-2 expression and its cellular localization. The EMBO Journal. 18(12). 3419–3430. 77 indexed citations
16.
Germani, Antonia, Francisco Romero, Martin Houlard, et al.. (1999). hSiah2 Is a New Vav Binding Protein Which Inhibits Vav-Mediated Signaling Pathways. Molecular and Cellular Biology. 19(5). 3798–3807. 37 indexed citations
17.
Cubo, Teresa, Francisco Romero, José‐María Vinardell, & José E. Ruiz‐Sainz. (1997). Expression of the Rhizobium leguminosarum biovar phaseoli melA Gene in Other Rhizobia Does Not Require the Presence of the nifA Gene. Australian Journal of Plant Physiology. 24(2). 195–203. 7 indexed citations
18.
Romero, Francisco, Catherine Dargemont, Westley H. Reeves, et al.. (1996). p95vavAssociates with the Nuclear Protein Ku-70. Molecular and Cellular Biology. 16(1). 37–44. 71 indexed citations
19.
Ramos‐Morales, Francisco, Francisco Romero, Fabien Schweighoffer, et al.. (1995). The proline-rich region of Vav binds to Grb2 and Grb3-3.. PubMed. 11(8). 1665–9. 42 indexed citations
20.
Romero, Francisco, et al.. (1989). Role of glutamine as a direct co-repressor of glutamine synthetase inRhodobacter capsulatusE1F1. FEMS Microbiology Letters. 58(1). 111–113. 2 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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