Jorge Fernández-de-Cossío

840 total citations
27 papers, 622 citations indexed

About

Jorge Fernández-de-Cossío is a scholar working on Molecular Biology, Spectroscopy and Ecology. According to data from OpenAlex, Jorge Fernández-de-Cossío has authored 27 papers receiving a total of 622 indexed citations (citations by other indexed papers that have themselves been cited), including 18 papers in Molecular Biology, 16 papers in Spectroscopy and 4 papers in Ecology. Recurrent topics in Jorge Fernández-de-Cossío's work include Mass Spectrometry Techniques and Applications (14 papers), Advanced Proteomics Techniques and Applications (12 papers) and Metabolomics and Mass Spectrometry Studies (4 papers). Jorge Fernández-de-Cossío is often cited by papers focused on Mass Spectrometry Techniques and Applications (14 papers), Advanced Proteomics Techniques and Applications (12 papers) and Metabolomics and Mass Spectrometry Studies (4 papers). Jorge Fernández-de-Cossío collaborates with scholars based in Cuba, Japan and Argentina. Jorge Fernández-de-Cossío's co-authors include Ricardo Bringas, Jamilet Miranda, María Elena Ochagavia, Alexander J. Martin, Vladimir Besada, Luis Javier González, Gabrìel Padrón, Lázaro Betancourt, Yasutsugu Shimonishi and Toshifumi Takao and has published in prestigious journals such as Nucleic Acids Research, SHILAP Revista de lepidopterología and Analytical Chemistry.

In The Last Decade

Jorge Fernández-de-Cossío

25 papers receiving 606 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Jorge Fernández-de-Cossío Cuba 13 433 218 53 43 38 27 622
Stephan Aiche Germany 8 758 1.8× 452 2.1× 89 1.7× 28 0.7× 20 0.5× 10 1.0k
Yulia Butscheid Switzerland 1 527 1.2× 365 1.7× 50 0.9× 11 0.3× 11 0.3× 2 755
Tobias Ehrenberger United States 6 771 1.8× 376 1.7× 99 1.9× 15 0.3× 12 0.3× 8 1.0k
Keun Na South Korea 14 356 0.8× 126 0.6× 88 1.7× 19 0.4× 8 0.2× 25 624
Lin‐Yang Cheng United States 5 800 1.8× 578 2.7× 86 1.6× 13 0.3× 14 0.4× 7 1.2k
Robert Lawrence United States 13 718 1.7× 376 1.7× 82 1.5× 21 0.5× 16 0.4× 19 1.0k
Yaroslav Lyutvinskiy Sweden 10 247 0.6× 156 0.7× 50 0.9× 14 0.3× 11 0.3× 12 430
Susan E. Abbatiello United States 16 883 2.0× 797 3.7× 72 1.4× 17 0.4× 22 0.6× 19 1.2k
Alexander Hogrebe United States 6 584 1.3× 455 2.1× 60 1.1× 24 0.6× 14 0.4× 10 747

Countries citing papers authored by Jorge Fernández-de-Cossío

Since Specialization
Citations

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

Fields of papers citing papers by Jorge Fernández-de-Cossío

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Jorge Fernández-de-Cossío

This figure shows the co-authorship network connecting the top 25 collaborators of Jorge Fernández-de-Cossío. A scholar is included among the top collaborators of Jorge Fernández-de-Cossío 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 Fernández-de-Cossío. Jorge Fernández-de-Cossío 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.
Fernández-de-Cossío, Jorge, et al.. (2023). Pigment Identification and Depth Profile in Pictorial Artworks by Non-Invasive Hybrid XRD-XRF Portable System. SHILAP Revista de lepidopterología. 44. e48506–e48506.
3.
Riera‐Romo, Mario, et al.. (2022). Synergic effect of anticancer peptide CIGB-552 and Cisplatin in lung cancer models. Molecular Biology Reports. 49(4). 3197–3212. 5 indexed citations
4.
Miranda, Jamilet, Ricardo Bringas, Jorge Fernández-de-Cossío, & Yasser Perera. (2021). Targeting CK2 mediated signaling to impair/tackle SARS-CoV-2 infection: a computational biology approach. Molecular Medicine. 27(1). 161–161. 10 indexed citations
5.
Gil, Jeovanis, Yassel Ramos, Alexis Musacchio, et al.. (2015). Proteomic Study to Survey the CIGB-552 Antitumor Effect. BioMed Research International. 2015. 1–18. 6 indexed citations
6.
7.
Perera, Yasser, et al.. (2014). Synergistic interactions of the anti-casein kinase 2 CIGB-300 peptide and chemotherapeutic agents in lung and cervical preclinical cancer models. Molecular and Clinical Oncology. 2(6). 935–944. 23 indexed citations
8.
Gil, Jeovanis, Luis Javier González, Yasset Pérez‐Riverol, et al.. (2012). Introducing an Asp-Pro Linker in the Synthesis of Random One-Bead-One-Compound Hexapeptide Libraries Compatible with ESI-MS Analysis. ACS Combinatorial Science. 14(3). 145–149. 5 indexed citations
9.
Betancourt, Lázaro, Aniel Sánchez, Yasset Pérez‐Riverol, et al.. (2011). Charge state-selective separation of peptides by reversible modification of amino groups and strong cation-exchange chromatography: Evaluation in proteomic studies using peptide-centric database searches. Journal of Proteomics. 74(10). 2210–2213. 4 indexed citations
10.
Ochagavia, María Elena, et al.. (2011). A METHODOLOGY BASED ON MOLECULAR INTERACTIONS AND PATHWAYS TO FIND CANDIDATE GENES ASSOCIATED TO DISEASES: ITS APPLICATION TO SCHIZOPHRENIA AND ALZHEIMER'S DISEASE. Journal of Bioinformatics and Computational Biology. 9(4). 541–557. 6 indexed citations
11.
Martin, Alexander J., et al.. (2010). BisoGenet: a new tool for gene network building, visualization and analysis. BMC Bioinformatics. 11(1). 91–91. 271 indexed citations
12.
Fernández-de-Cossío, Jorge. (2010). Computation of the Isotopic Distribution in Two Dimensions. Analytical Chemistry. 82(15). 6726–6729. 9 indexed citations
13.
Ramos, Yassel, Yoan Machado, Aniel Sánchez, et al.. (2008). Proteomics Based on Peptide Fractionation by SDS-Free PAGE. Journal of Proteome Research. 7(6). 2427–2434. 15 indexed citations
14.
Companioni, Osmel, et al.. (2007). HLA class I polymorphism in the Cuban population. Human Immunology. 68(11). 918–927. 8 indexed citations
15.
Sánchez, Aniel, Luis Javier González, Lázaro Betancourt, et al.. (2006). Selective isolation of multiple positively charged peptides for 2‐DE‐free quantitative proteomics. PROTEOMICS. 6(16). 4444–4455. 15 indexed citations
16.
Fernández-de-Cossío, Jorge, Luis Javier González, Yoshinori Satomi, et al.. (2004). Automated interpretation of mass spectra of complex mixtures by matching of isotope peak distributions. Rapid Communications in Mass Spectrometry. 18(20). 2465–2472. 27 indexed citations
17.
Fernández-de-Cossío, Jorge, Luis Javier González, Yoshinori Satomi, et al.. (2004). Isotopica: a tool for the calculation and viewing of complex isotopic envelopes. Nucleic Acids Research. 32(Web Server). W674–W678. 25 indexed citations
18.
Fernández-de-Cossío, Jorge, Luis Javier González, Yoshinori Satomi, et al.. (2000). Automated interpretation of low-energy collision-induced dissociation spectra by SeqMS, a software aid forde novo sequencing by tandem mass spectrometry. Electrophoresis. 21(9). 1694–1699. 55 indexed citations
19.
Fernández-de-Cossío, Jorge, Luis Javier González, Lázaro Betancourt, et al.. (1998). Automated interpretation of high-energy collision-induced dissociation spectra of singly protonated peptides by ‘seqms', a software aid forde novo sequencing by tandem mass spectrometry. Rapid Communications in Mass Spectrometry. 12(23). 1867–1878. 36 indexed citations
20.
Fernández-de-Cossío, Jorge, Luis Javier González, & Vladimir Besada. (1995). A computer program to aid the sequencing of peptides in collision-activated decomposition experiments. Computer applications in the biosciences. 11(4). 427–434. 17 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.

Explore authors with similar magnitude of impact

Breakdown of academic impact, for papers by Stephan Aiche Breakdown of academic impact, for papers by Yulia Butscheid Breakdown of academic impact, for papers by Tobias Ehrenberger Breakdown of academic impact, for papers by Keun Na Breakdown of academic impact, for papers by Lin‐Yang Cheng Breakdown of academic impact, for papers by Robert Lawrence Breakdown of academic impact, for papers by Yaroslav Lyutvinskiy Breakdown of academic impact, for papers by Susan E. Abbatiello Breakdown of academic impact, for papers by Alexander Hogrebe
Rankless by CCL
2026