Jayson Falkner

613 total citations
13 papers, 311 citations indexed

About

Jayson Falkner is a scholar working on Molecular Biology, Spectroscopy and Computer Networks and Communications. According to data from OpenAlex, Jayson Falkner has authored 13 papers receiving a total of 311 indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Molecular Biology, 7 papers in Spectroscopy and 2 papers in Computer Networks and Communications. Recurrent topics in Jayson Falkner's work include Advanced Proteomics Techniques and Applications (7 papers), Mass Spectrometry Techniques and Applications (5 papers) and Metabolomics and Mass Spectrometry Studies (4 papers). Jayson Falkner is often cited by papers focused on Advanced Proteomics Techniques and Applications (7 papers), Mass Spectrometry Techniques and Applications (5 papers) and Metabolomics and Mass Spectrometry Studies (4 papers). Jayson Falkner collaborates with scholars based in United States and Israel. Jayson Falkner's co-authors include Philip Andrews, Anastasia K. Yocum, Heather A. Carlson, Mark L. Benson, Richard D. Smith, Angela K. Walker, Hamid Mirzaei, Daniel B. Martin, Lik Wee Lee and Donna M. Veine and has published in prestigious journals such as Journal of Clinical Oncology, Bioinformatics and Journal of Proteome Research.

In The Last Decade

Jayson Falkner

12 papers receiving 302 citations

Peers

Jayson Falkner
Frédéric Nikitin Switzerland
Melanie Leveridge United Kingdom
Matthew The Germany
Ka Diam Go Singapore
Andrew N. Holding United Kingdom
Marcin J. Domagalski United States
Jennifer A. Siepen United Kingdom
Frédéric Nikitin Switzerland
Jayson Falkner
Citations per year, relative to Jayson Falkner Jayson Falkner (= 1×) peers Frédéric Nikitin

Countries citing papers authored by Jayson Falkner

Since Specialization
Citations

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

Fields of papers citing papers by Jayson Falkner

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Jayson Falkner

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

All Works

13 of 13 papers shown
1.
Tomlins, Scott A., Daniel H. Hovelson, Paul W. Harms, et al.. (2021). Development and Validation of StrataNGS, a Multiplex PCR, Semiconductor Sequencing-Based Comprehensive Genomic Profiling Test. Journal of Molecular Diagnostics. 23(11). 1515–1533. 14 indexed citations
2.
Hovelson, Daniel H., Jennifer M. Suga, Daniel M. Anderson, et al.. (2020). PCR-based comprehensive genomic profiling (PCR-CGP): Feasibility from >20,000 tumor tissue specimens (TTS) and predicted impact on actionable biomarker identification versus hybrid capture (H)-CGP and plasma (P)-CGP.. Journal of Clinical Oncology. 38(15_suppl). 3574–3574. 1 indexed citations
3.
Lee, Lik Wee, et al.. (2009). Rapid Optimization of MRM-MS Instrument Parameters by Subtle Alteration of Precursor and Product m/z Targets. Journal of Proteome Research. 8(7). 3746–3751. 55 indexed citations
4.
Falkner, Jayson, James A. Hill, & Philip Andrews. (2008). Proteomics FASTA Archive and Reference Resource. PROTEOMICS. 8(9). 1756–1757. 15 indexed citations
5.
Falkner, Jayson, et al.. (2008). A Spectral Clustering Approach to MS/MS Identification of Post-Translational Modifications. Journal of Proteome Research. 7(11). 4614–4622. 57 indexed citations
6.
Falkner, Jayson, Maureen Kachman, Donna M. Veine, et al.. (2007). Validated MALDI-TOF/TOF mass spectra for protein standards. Journal of the American Society for Mass Spectrometry. 18(5). 850–855. 47 indexed citations
7.
Falkner, Jayson & Christine L. Andrews. (2007). Tranche: decentralized data storage for the proteomics community. 11 indexed citations
8.
Falkner, Jayson, et al.. (2006). ProteomeCommons.org JAF: reference information and tools for proteomics. Bioinformatics. 22(5). 632–633. 11 indexed citations
9.
Falkner, Jayson, et al.. (2006). ProteomeCommons.org IO Framework: reading and writing multiple proteomics data formats. Bioinformatics. 23(2). 262–263. 31 indexed citations
10.
Smith, Richard D., et al.. (2005). Exploring protein–ligand recognition with Binding MOAD. Journal of Molecular Graphics and Modelling. 24(6). 414–425. 51 indexed citations
11.
Falkner, Jayson, et al.. (2002). Desarrollo Web con JSP. Dialnet (Universidad de la Rioja). 235. 1251–4.
12.
Brown, Simon, Bob Sullivan, Mark Nelson, et al.. (2001). Professional JSP. 1000–1000. 12 indexed citations
13.
Falkner, Jayson, et al.. (2001). Beginning JSP Web Development. Bulletin of Miscellaneous Information (Royal Gardens Kew). 6 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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