David M. Horn

7.1k total citations · 1 hit paper
49 papers, 5.3k citations indexed

About

David M. Horn is a scholar working on Spectroscopy, Molecular Biology and Computational Mechanics. According to data from OpenAlex, David M. Horn has authored 49 papers receiving a total of 5.3k indexed citations (citations by other indexed papers that have themselves been cited), including 35 papers in Spectroscopy, 17 papers in Molecular Biology and 8 papers in Computational Mechanics. Recurrent topics in David M. Horn's work include Mass Spectrometry Techniques and Applications (33 papers), Advanced Proteomics Techniques and Applications (19 papers) and Analytical Chemistry and Chromatography (18 papers). David M. Horn is often cited by papers focused on Mass Spectrometry Techniques and Applications (33 papers), Advanced Proteomics Techniques and Applications (19 papers) and Analytical Chemistry and Chromatography (18 papers). David M. Horn collaborates with scholars based in United States, Denmark and Germany. David M. Horn's co-authors include Fred W. McLafferty, Roman A. Zubarev, Mark A. Lewis, Barry K. Carpenter, Einar K. Fridriksson, Kathrin Breuker, Blas A. Cerda, Ying Ge, Neil L. Kelleher and Henrik Molina and has published in prestigious journals such as Science, Proceedings of the National Academy of Sciences and Journal of the American Chemical Society.

In The Last Decade

David M. Horn

46 papers receiving 5.2k citations

Hit Papers

Electron Capture Dissociation for Structural Characteriza... 2000 2026 2008 2017 2000 250 500 750

Peers

David M. Horn
Paul D. Schnier United States
Yury O. Tsybin Switzerland
Michael C. Fitzgerald United States
Philip D. Compton United States
Sven G. Hyberts United States
Leland Mayne United States
John Milne United Kingdom
Daniel Nietlispach United Kingdom
Paul D. Schnier United States
David M. Horn
Citations per year, relative to David M. Horn David M. Horn (= 1×) peers Paul D. Schnier

Countries citing papers authored by David M. Horn

Since Specialization
Citations

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

Fields of papers citing papers by David M. Horn

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by David M. Horn. 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 David M. Horn. The network helps show where David M. Horn may publish in the future.

Co-authorship network of co-authors of David M. Horn

This figure shows the co-authorship network connecting the top 25 collaborators of David M. Horn. A scholar is included among the top collaborators of David M. Horn 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 David M. Horn. David M. Horn 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.
Belford, Michael W., Romain Huguet, Ryan T. Fellers, et al.. (2023). Orbitrap Mass Spectrometry and High-Field Asymmetric Waveform Ion Mobility Spectrometry (FAIMS) Enable the in-Depth Analysis of Human Serum Proteoforms. Journal of Proteome Research. 22(11). 3418–3426. 19 indexed citations
2.
Vanneschi, Leonardo, David M. Horn, Mauro Castelli, & Aleš Popovič. (2018). An artificial intelligence system for predicting customer default in e-commerce. Expert Systems with Applications. 104. 1–21. 53 indexed citations
3.
Viner, Rosa, et al.. (2017). Analysis of Proteins, Protein Complexes, and Organellar Proteomes Using Sheathless Capillary Zone Electrophoresis - Native Mass Spectrometry. Journal of the American Society for Mass Spectrometry. 28(12). 2614–2634. 71 indexed citations
4.
Singeç, Ilyas, Andrew Crain, Junjie Hou, et al.. (2016). Quantitative Analysis of Human Pluripotency and Neural Specification by In-Depth (Phospho)Proteomic Profiling. Stem Cell Reports. 7(3). 527–542. 26 indexed citations
5.
Mitchel, Jules T., et al.. (2011). Evaluation of Data Entry Errors and Data Changes to an Electronic Data Capture Clinical Trial Database. Drug Information Journal. 45(4). 421–430. 36 indexed citations
6.
Zhao, Peng, Rosa Viner, Chin Fen Teo, et al.. (2011). Combining High-Energy C-Trap Dissociation and Electron Transfer Dissociation for Protein O-GlcNAc Modification Site Assignment. Journal of Proteome Research. 10(9). 4088–4104. 131 indexed citations
7.
Orchard, Sandra, Rolf Apweiler, Robert Barkovich, et al.. (2006). Proteomics and Beyond A report on the 3rd Annual Spring Workshop of the HUPO‐PSI 21–23 April 2006, San Francisco, CA, USA. PROTEOMICS. 6(16). 4439–4443. 7 indexed citations
8.
Horn, David M., et al.. (2004). Improved protein identification using automated high mass measurement accuracy MALDI FT-ICR MS peptide mass fingerprinting. International Journal of Mass Spectrometry. 238(2). 189–196. 13 indexed citations
9.
Brock, Ansgar, David M. Horn, Eric C. Peters, et al.. (2003). An Automated Matrix-Assisted Laser Desorption/Ionization Quadrupole Fourier Transform Ion Cyclotron Resonance Mass Spectrometer for “Bottom-Up” Proteomics. Analytical Chemistry. 75(14). 3419–3428. 32 indexed citations
10.
Salomon, Arthur R., Scott B. Ficarro, Laurence M. Brill, et al.. (2003). Profiling of tyrosine phosphorylation pathways in human cells using mass spectrometry. Proceedings of the National Academy of Sciences. 100(2). 443–448. 235 indexed citations
11.
Peters, Eric C., David M. Horn, David C. Tully, & Ansgar Brock. (2001). A novel multifunctional labeling reagent for enhanced protein characterization with mass spectrometry. Rapid Communications in Mass Spectrometry. 15(24). 2387–2392. 97 indexed citations
12.
Ivanova, Pavlina T., et al.. (2001). Electrospray ionization mass spectrometry analysis of changes in phospholipids in RBL-2H3 mastocytoma cells during degranulation. Proceedings of the National Academy of Sciences. 98(13). 7152–7157. 83 indexed citations
13.
Shi, Stone D.‐H., et al.. (2000). Phosphopeptide/Phosphoprotein Mapping by Electron Capture Dissociation Mass Spectrometry. Analytical Chemistry. 73(1). 19–22. 254 indexed citations
14.
Horn, David M., Ying Ge, & Fred W. McLafferty. (2000). Activated Ion Electron Capture Dissociation for Mass Spectral Sequencing of Larger (42 kDa) Proteins. Analytical Chemistry. 72(20). 4778–4784. 274 indexed citations
15.
McLafferty, Fred W., Neil L. Kelleher, Tadhg P. Begley, et al.. (1998). Two-dimensional mass spectrometry of biomolecules at the subfemtomole level. Current Opinion in Chemical Biology. 2(5). 571–578. 31 indexed citations
17.
Benner, W. Henry, et al.. (1995). Identification of denatured double‐stranded DNA by matrix‐assisted laser desorption/ionization time‐of‐flight mass spectrometry. Rapid Communications in Mass Spectrometry. 9(6). 537–540. 10 indexed citations
18.
Horn, David M., et al.. (1986). Some Techniques for Mechanical Excavation in Salvage Archaeology. Journal of Field Archaeology. 13(2). 239–244. 4 indexed citations
19.
Jacobsen, T. W. & David M. Horn. (1974). The Franchthi Cave Flint Survey: Some Preliminary Results (1974). Journal of Field Archaeology. 1(3-4). 305–308. 3 indexed citations
20.
Horn, David M., et al.. (1974). The Franchthi Cave Flint Survey: Some Preliminary Results (1974). Journal of Field Archaeology. 1(3/4). 305–305. 1 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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