Daniel López‐Ferrer

4.1k total citations · 2 hit papers
43 papers, 3.0k citations indexed

About

Daniel López‐Ferrer is a scholar working on Spectroscopy, Molecular Biology and Biomedical Engineering. According to data from OpenAlex, Daniel López‐Ferrer has authored 43 papers receiving a total of 3.0k indexed citations (citations by other indexed papers that have themselves been cited), including 31 papers in Spectroscopy, 30 papers in Molecular Biology and 5 papers in Biomedical Engineering. Recurrent topics in Daniel López‐Ferrer's work include Advanced Proteomics Techniques and Applications (31 papers), Mass Spectrometry Techniques and Applications (26 papers) and Metabolomics and Mass Spectrometry Studies (11 papers). Daniel López‐Ferrer is often cited by papers focused on Advanced Proteomics Techniques and Applications (31 papers), Mass Spectrometry Techniques and Applications (26 papers) and Metabolomics and Mass Spectrometry Studies (11 papers). Daniel López‐Ferrer collaborates with scholars based in United States, Spain and South Korea. Daniel López‐Ferrer's co-authors include Jesús Vázquez, Richard Smith, Kim Hixson, José Luís Capelo, David Camp, Benito Cañas, António Ramos-Fernández, Yufeng Shen, Ronald Moore and Karl Weitz and has published in prestigious journals such as Proceedings of the National Academy of Sciences, PLoS ONE and The Plant Cell.

In The Last Decade

Daniel López‐Ferrer

40 papers receiving 3.0k 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.

Omic data from evolved E. coli are consistent with computed optimal growth from genome‐scale models

2010 527 citations Nathan E. Lewis, Kim Hixson et al. Molecular Systems Biology profile →
Reversed‐phase chromatography with multiple fraction concatenation strategy for proteome profiling of human MCF10A cells

2011 454 citations Yuexi Wang, Feng Yang et al. PROTEOMICS profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Daniel López‐Ferrer United States	26	2.2k	1.2k	464	174	173	43	3.0k
Herbert Lindner Austria	31	1.7k 0.7×	567 0.5×	293 0.6×	108 0.6×	111 0.6×	72	2.6k
Robert Wildgruber Germany	17	1.3k 0.6×	768 0.6×	266 0.6×	247 1.4×	87 0.5×	26	2.3k
Josip Blonder United States	29	1.6k 0.7×	1.1k 0.9×	187 0.4×	134 0.8×	147 0.8×	63	2.4k
Bettina Sarg Austria	32	2.0k 0.9×	566 0.5×	284 0.6×	161 0.9×	191 1.1×	105	3.1k
Feng Yang United States	25	2.0k 0.9×	796 0.6×	179 0.4×	113 0.6×	230 1.3×	87	2.7k
Bryan R. Fonslow United States	20	1.6k 0.7×	1.1k 0.9×	789 1.7×	103 0.6×	123 0.7×	30	2.9k
Jun X. Yan Australia	19	2.1k 0.9×	1.3k 1.1×	158 0.3×	177 1.0×	127 0.7×	53	3.1k
Christian Obermaier Germany	10	1.3k 0.6×	910 0.7×	205 0.4×	120 0.7×	87 0.5×	16	2.1k
Jong Shin Yoo South Korea	36	2.5k 1.1×	1.1k 0.9×	216 0.5×	167 1.0×	402 2.3×	147	3.8k
Alexander S. Hebert United States	35	2.8k 1.3×	1.8k 1.5×	391 0.8×	426 2.4×	132 0.8×	67	4.0k

Countries citing papers authored by Daniel López‐Ferrer

Since Specialization

Citations

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

Fields of papers citing papers by Daniel López‐Ferrer

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Daniel López‐Ferrer. 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 Daniel López‐Ferrer. The network helps show where Daniel López‐Ferrer may publish in the future.

Co-authorship network of co-authors of Daniel López‐Ferrer

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

All Works

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20 of 20 papers shown

Bi, Yang, Ruben Shrestha, Zhenzhen Zhang, et al.. (2023). SPINDLY mediates O-fucosylation of hundreds of proteins and sugar-dependent growth in Arabidopsis. The Plant Cell. 35(5). 1318–1333. 19 indexed citations

Furtwängler, Benjamin, Nil Üresin, Romain Huguet, et al.. (2022). Ultra-high sensitivity proteomics for precision oncology. Molecular & Cellular Proteomics. 21(8). 100290–100290. 1 indexed citations

Furtwängler, Benjamin, Nil Üresin, Khatereh Motamedchaboki, et al.. (2022). Real-Time Search-Assisted Acquisition on a Tribrid Mass Spectrometer Improves Coverage in Multiplexed Single-Cell Proteomics. Molecular & Cellular Proteomics. 21(4). 100219–100219. 53 indexed citations

Stopfer, Lauren, et al.. (2021). High-Density, Targeted Monitoring of Tyrosine Phosphorylation Reveals Activated Signaling Networks in Human Tumors. Cancer Research. 81(9). 2495–2509. 46 indexed citations

Hope, Kevin A., et al.. (2020). Transcriptomic and proteomic profiling of glial versus neuronal Dube3a overexpression reveals common molecular changes in gliopathic epilepsies. Neurobiology of Disease. 141. 104879–104879. 3 indexed citations

Carrera, Mónica, Benito Cañas, & Daniel López‐Ferrer. (2017). Fast Global Phosphoproteome Profiling of Jurkat T Cells by HIFU-TiO₂-SCX-LC-MS/MS. Analytical Chemistry. 89(17). 8853–8862. 16 indexed citations

Wang, Yuexi, Feng Yang, Marina Gritsenko, et al.. (2011). Reversed‐phase chromatography with multiple fraction concatenation strategy for proteome profiling of human MCF10A cells. PROTEOMICS. 11(10). 2019–2026. 454 indexed citations breakdown →

Brown, Joseph N., Ryan D. Estep, Daniel López‐Ferrer, et al.. (2010). Characterization of Macaque Pulmonary Fluid Proteome during Monkeypox Infection. Molecular & Cellular Proteomics. 9(12). 2760–2771. 17 indexed citations

Kim, Byoung Chan, Seung‐Hyun Jun, Daniel López‐Ferrer, et al.. (2010). Robust trypsin coating on electrospun polymer nanofibers in rigorous conditions and its uses for protein digestion. Biotechnology and Bioengineering. 107(6). 917–923. 14 indexed citations

10.

Lewis, Nathan E., Kim Hixson, Tom M Conrad, et al.. (2010). Omic data from evolved E. coli are consistent with computed optimal growth from genome‐scale models. Molecular Systems Biology. 6(1). 390–390. 527 indexed citations breakdown →

11.

López‐Ferrer, Daniel, Konstantinos Pétritis, Errol Robinson, et al.. (2010). Pressurized Pepsin Digestion in Proteomics. Molecular & Cellular Proteomics. 10(2). S1–S11. 43 indexed citations

12.

López‐Ferrer, Daniel, Byoung Chan Kim, Hyon Bin Na, et al.. (2010). Rapid and efficient protein digestion using trypsin‐coated magnetic nanoparticles under pressure cycles. PROTEOMICS. 11(2). 309–318. 30 indexed citations

13.

Navarro, Pedro, Salvador Martínez‐Bartolomé, Daniel López‐Ferrer, et al.. (2009). Properties of average score distributions of sequest: the probability ratio method. LA Referencia (Red Federada de Repositorios Institucionales de Publicaciones Científicas). 13–13. 7 indexed citations

14.

Kim, Jungbae, Byoung Chan Kim, Daniel López‐Ferrer, Konstantinos Pétritis, & Richard Smith. (2009). Nanobiocatalysis for protein digestion in proteomic analysis. PROTEOMICS. 10(4). 687–699. 48 indexed citations

15.

Kim, Byoung Chan, Daniel López‐Ferrer, Sang Mok Lee, et al.. (2009). Highly stable trypsin‐aggregate coatings on polymer nanofibers for repeated protein digestion. PROTEOMICS. 9(7). 1893–1900. 53 indexed citations

16.

Martínez‐Bartolomé, Salvador, Pedro Navarro, Daniel López‐Ferrer, et al.. (2008). Properties of Average Score Distributions of SEQUEST. Molecular & Cellular Proteomics. 7(6). 1135–1145. 114 indexed citations

17.

Carreira, Renato S., R. Rial‐Otero, Daniel López‐Ferrer, Carlos Lodeiro, & José Luís Capelo. (2008). Ultrasonic energy as a new tool for fast isotopic 18O labeling of proteins for mass spectrometry-based techniques: Preliminary results. Talanta. 76(2). 400–406. 18 indexed citations

18.

Jorge, Inmaculada, Margarita Villar, Inmaculada Ortega‐Pérez, et al.. (2007). High‐sensitivity analysis of specific peptides in complex samples by selected MS/MS ion monitoring and linear ion trap mass spectrometry: Application to biological studies. Journal of Mass Spectrometry. 42(11). 1391–1403. 55 indexed citations

19.

López‐Ferrer, Daniel, et al.. (2006). Quantitative proteomics using 16O/18O labeling and linear ion trap mass spectrometry. PROTEOMICS. 6(S1). S4–S11. 53 indexed citations

20.

Martínez‐Ruiz, Antonio, Laura Villanueva, Daniel López‐Ferrer, et al.. (2005). S-nitrosylation of Hsp90 promotes the inhibition of its ATPase and endothelial nitric oxide synthase regulatory activities. Proceedings of the National Academy of Sciences. 102(24). 8525–8530. 260 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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