Peter F. Gavin

538 total citations
11 papers, 464 citations indexed

About

Peter F. Gavin is a scholar working on Biomedical Engineering, Spectroscopy and Electrochemistry. According to data from OpenAlex, Peter F. Gavin has authored 11 papers receiving a total of 464 indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Biomedical Engineering, 3 papers in Spectroscopy and 3 papers in Electrochemistry. Recurrent topics in Peter F. Gavin's work include Microfluidic and Capillary Electrophoresis Applications (9 papers), Microfluidic and Bio-sensing Technologies (4 papers) and Nanopore and Nanochannel Transport Studies (3 papers). Peter F. Gavin is often cited by papers focused on Microfluidic and Capillary Electrophoresis Applications (9 papers), Microfluidic and Bio-sensing Technologies (4 papers) and Nanopore and Nanochannel Transport Studies (3 papers). Peter F. Gavin collaborates with scholars based in United States. Peter F. Gavin's co-authors include Andrew G. Ewing, Bernard A. Olsen, Paul K. Owens, Kurt Lorenz, David D. Wirth, Herbert Moskowitz, Kemal Altınkemer, Bret E. Huff, Okan K. Ersoy and Franklin D. Swanek and has published in prestigious journals such as Journal of the American Chemical Society, Nature Medicine and Analytical Chemistry.

In The Last Decade

Peter F. Gavin

11 papers receiving 436 citations

Peers

Peter F. Gavin
Beverly Nickerson United States
T.-I. Lin Taiwan
Maojun Gong United States
Adam M. Fermier United States
Sui Ching Phung Australia
X. Xu Netherlands
Beverly Nickerson United States
Peter F. Gavin
Citations per year, relative to Peter F. Gavin Peter F. Gavin (= 1×) peers Beverly Nickerson

Countries citing papers authored by Peter F. Gavin

Since Specialization
Citations

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

Fields of papers citing papers by Peter F. Gavin

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Peter F. Gavin. 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 Peter F. Gavin. The network helps show where Peter F. Gavin may publish in the future.

Co-authorship network of co-authors of Peter F. Gavin

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

All Works

11 of 11 papers shown
1.
Moskowitz, Herbert, Okan K. Ersoy, Kemal Altınkemer, et al.. (2009). Machine learning and genetic algorithms in pharmaceutical development and manufacturing processes. Decision Support Systems. 48(1). 69–80. 18 indexed citations
2.
Gavin, Peter F. & Bernard A. Olsen. (2007). A quality by design approach to impurity method development for atomoxetine hydrochloride (LY139603). Journal of Pharmaceutical and Biomedical Analysis. 46(3). 431–441. 58 indexed citations
3.
Olsen, Bernard A., et al.. (2006). Determination of the enantiomer and positional isomer impurities in atomoxetine hydrochloride with liquid chromatography using polysaccharide chiral stationary phases. Journal of Pharmaceutical and Biomedical Analysis. 41(4). 1088–1094. 25 indexed citations
4.
Gavin, Peter F., Bernard A. Olsen, David D. Wirth, & Kurt Lorenz. (2006). A quality evaluation strategy for multi-sourced active pharmaceutical ingredient (API) starting materials. Journal of Pharmaceutical and Biomedical Analysis. 41(4). 1251–1259. 17 indexed citations
5.
Swanek, Franklin D., et al.. (2003). Analysis of chemical processes at single bovine adrenergic chromaffin cells with micellar electrokinetic capillary chromatography and electrochemical detection. Journal of Separation Science. 26(1-2). 61–68. 3 indexed citations
6.
Gavin, Peter F., et al.. (1998). Electrophoretic separation schemes in ultrathin channels with capillary sample introduction. TrAC Trends in Analytical Chemistry. 17(7). 401–410. 4 indexed citations
7.
Gavin, Peter F. & Andrew G. Ewing. (1998). Characterization of lateral dispersion in microfabricated electrophoresis-electrochemical array detection. Journal of Microcolumn Separations. 10(4). 357–364. 14 indexed citations
8.
Ewing, Andrew G., et al.. (1997). Continuous separations in microfabricated channels for monitoring ultrasmall biological environments. Nature Medicine. 3(1). 97–99. 20 indexed citations
9.
Gavin, Peter F. & Andrew G. Ewing. (1997). Characterization of Electrochemical Array Detection for Continuous Channel Electrophoretic Separations in Micrometer and Submicrometer Channels. Analytical Chemistry. 69(18). 3838–3845. 81 indexed citations
10.
Gavin, Peter F. & Andrew G. Ewing. (1996). Continuous Separations with Microfabricated Electrophoresis−Electrochemical Array Detection. Journal of the American Chemical Society. 118(37). 8932–8936. 79 indexed citations
11.
Ewing, Andrew G., et al.. (1994). Electrochemical detection in microcolumn separations. Analytical Chemistry. 66(9). 527A–537A. 145 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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