Manuel Ventura

425 total citations
9 papers, 317 citations indexed

About

Manuel Ventura is a scholar working on Spectroscopy, Molecular Biology and Biomedical Engineering. According to data from OpenAlex, Manuel Ventura has authored 9 papers receiving a total of 317 indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Spectroscopy, 5 papers in Molecular Biology and 5 papers in Biomedical Engineering. Recurrent topics in Manuel Ventura's work include Analytical Chemistry and Chromatography (8 papers), Mass Spectrometry Techniques and Applications (6 papers) and Metabolomics and Mass Spectrometry Studies (3 papers). Manuel Ventura is often cited by papers focused on Analytical Chemistry and Chromatography (8 papers), Mass Spectrometry Techniques and Applications (6 papers) and Metabolomics and Mass Spectrometry Studies (3 papers). Manuel Ventura collaborates with scholars based in United States and France. Manuel Ventura's co-authors include Michael J. Greig, William Farrell, Wolfgang Goetzinger, Brent Murphy, Ben Bolaños, Phương Thu Trần, Terri Quenzer, Haitao Li, Zhouxin Shen and Eden P. Go and has published in prestigious journals such as Analytical Chemistry, Analytical Biochemistry and Journal of Chromatography A.

In The Last Decade

Manuel Ventura

9 papers receiving 297 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Manuel Ventura United States 8 274 156 128 109 12 9 317
C. Ortiz‐Bolsico Spain 13 312 1.1× 214 1.4× 157 1.2× 99 0.9× 10 0.8× 19 352
Dennis Åsberg Sweden 13 283 1.0× 164 1.1× 181 1.4× 149 1.4× 10 0.8× 19 356
Mengling Wong France 6 213 0.8× 191 1.2× 107 0.8× 59 0.5× 24 2.0× 7 341
Adam P. Schellinger United States 12 376 1.4× 193 1.2× 236 1.8× 186 1.7× 20 1.7× 15 499
James J. Conboy United States 9 361 1.3× 71 0.5× 113 0.9× 177 1.6× 27 2.3× 12 509
Zaiyou Liu United States 10 423 1.5× 208 1.3× 374 2.9× 75 0.7× 8 0.7× 15 519
Patrick J. Slonecker United States 10 377 1.4× 236 1.5× 236 1.8× 116 1.1× 6 0.5× 11 412
Róbert Kormány Hungary 11 218 0.8× 146 0.9× 88 0.7× 152 1.4× 12 1.0× 25 322
Liling Fang United States 9 258 0.9× 45 0.3× 159 1.2× 106 1.0× 36 3.0× 12 340
Jiří Vozka Czechia 12 356 1.3× 173 1.1× 188 1.5× 81 0.7× 25 2.1× 13 392

Countries citing papers authored by Manuel Ventura

Since Specialization
Citations

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

Fields of papers citing papers by Manuel Ventura

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Manuel Ventura

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

All Works

9 of 9 papers shown
1.
Ventura, Manuel. (2020). Advantageous use of SFC for separation of crude therapeutic peptides and peptide libraries. Journal of Pharmaceutical and Biomedical Analysis. 185. 113227–113227. 31 indexed citations
2.
Ventura, Manuel, Brent Murphy, & Wolfgang Goetzinger. (2011). Ammonia as a preferred additive in chiral and achiral applications of supercritical fluid chromatography for small, drug-like molecules. Journal of Chromatography A. 1220. 147–155. 35 indexed citations
3.
Lo, Mei-Chu, Kang Dai, Cong Li, et al.. (2011). Development of a time-resolved fluorescence resonance energy transfer assay for cyclin-dependent kinase 4 and identification of its ATP-noncompetitive inhibitors. Analytical Biochemistry. 421(2). 368–377. 5 indexed citations
4.
Shen, Zhouxin, Eden P. Go, Alejandra Gámez, et al.. (2004). A Mass Spectrometry Plate Reader: Monitoring Enzyme Activity and Inhibition with a Desorption/Ionization on Silicon (DIOS) Platform. ChemBioChem. 5(7). 921–927. 48 indexed citations
5.
Ventura, Manuel, William Farrell, Michael J. Greig, et al.. (2004). High-throughput preparative process utilizing three complementary chromatographic purification technologies. Journal of Chromatography A. 1036(1). 7–13. 36 indexed citations
6.
Bolaños, Ben, Michael J. Greig, Manuel Ventura, et al.. (2004). SFC/MS in drug discovery at Pfizer, La Jolla. International Journal of Mass Spectrometry. 238(2). 85–97. 64 indexed citations
7.
Bolaños, Ben, Manuel Ventura, & Michael J. Greig. (2003). Preserving the Chromatographic Integrity of High-Speed Supercritical Fluid Chromatography Separations Using Time-of-Flight Mass Spectrometry. Journal of Combinatorial Chemistry. 5(4). 451–455. 15 indexed citations
8.
Ventura, Manuel, et al.. (1999). Packed Column Supercritical Fluid Chromatography/Mass Spectrometry for High-Throughput Analysis. Part 2. Analytical Chemistry. 71(19). 4223–4231. 47 indexed citations
9.
Ventura, Manuel, et al.. (1999). Packed Column Supercritical Fluid Chromatography/Mass Spectrometry for High-Throughput Analysis. Analytical Chemistry. 71(13). 2410–2416. 36 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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