Scott A. Shippy

1.3k total citations
47 papers, 1.1k citations indexed

About

Scott A. Shippy is a scholar working on Cellular and Molecular Neuroscience, Molecular Biology and Biomedical Engineering. According to data from OpenAlex, Scott A. Shippy has authored 47 papers receiving a total of 1.1k indexed citations (citations by other indexed papers that have themselves been cited), including 20 papers in Cellular and Molecular Neuroscience, 19 papers in Molecular Biology and 14 papers in Biomedical Engineering. Recurrent topics in Scott A. Shippy's work include Microfluidic and Capillary Electrophoresis Applications (11 papers), Neurobiology and Insect Physiology Research (8 papers) and Neuroscience and Neuropharmacology Research (8 papers). Scott A. Shippy is often cited by papers focused on Microfluidic and Capillary Electrophoresis Applications (11 papers), Neurobiology and Insect Physiology Research (8 papers) and Neuroscience and Neuropharmacology Research (8 papers). Scott A. Shippy collaborates with scholars based in United States, France and Canada. Scott A. Shippy's co-authors include David E. Featherstone, Jonathan V. Sweedler, Sumith Kottegoda, José S. Pulido, Rebecca W. Garden, Tatiana P. Moroz, Xiaoyan Zhao, Leonid L. Moroz, Lingjun Li and David Wirtshafter and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Analytical Chemistry and Analytica Chimica Acta.

In The Last Decade

Scott A. Shippy

47 papers receiving 1.1k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Scott A. Shippy United States 19 379 355 329 252 89 47 1.1k
Christoph Bauer Switzerland 13 563 1.5× 302 0.9× 317 1.0× 99 0.4× 38 0.4× 15 1.8k
Dennis G. Drescher United States 27 869 2.3× 425 1.2× 88 0.3× 81 0.3× 21 0.2× 78 2.0k
Takaaki Miyamoto Japan 19 456 1.2× 170 0.5× 123 0.4× 95 0.4× 55 0.6× 52 1.1k
Ling Tong China 22 402 1.1× 94 0.3× 155 0.5× 92 0.4× 25 0.3× 79 1.5k
Willy Van Driessche Belgium 24 1.2k 3.1× 487 1.4× 103 0.3× 23 0.1× 32 0.4× 88 1.7k
Giorgio Rispoli Italy 17 675 1.8× 473 1.3× 120 0.4× 36 0.1× 94 1.1× 64 957
Thomas L. Williams United Kingdom 19 839 2.2× 135 0.4× 104 0.3× 61 0.2× 43 0.5× 58 1.6k
Miao Jing China 19 1.0k 2.7× 739 2.1× 433 1.3× 46 0.2× 63 0.7× 34 2.5k
Jae Kwak United States 21 812 2.1× 116 0.3× 379 1.2× 119 0.5× 68 0.8× 44 1.5k
J. L. Tedesco United States 19 660 1.7× 617 1.7× 156 0.5× 39 0.2× 381 4.3× 42 1.9k

Countries citing papers authored by Scott A. Shippy

Since Specialization
Citations

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

Fields of papers citing papers by Scott A. Shippy

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Scott A. Shippy. 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 Scott A. Shippy. The network helps show where Scott A. Shippy may publish in the future.

Co-authorship network of co-authors of Scott A. Shippy

This figure shows the co-authorship network connecting the top 25 collaborators of Scott A. Shippy. A scholar is included among the top collaborators of Scott A. Shippy 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 Scott A. Shippy. Scott A. Shippy 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.
Shippy, Scott A., et al.. (2020). Tear analysis as the next routine body fluid test. Eye. 34(10). 1731–1733. 40 indexed citations
2.
Shippy, Scott A., et al.. (2018). Thread-based assay for quantitative small molecule analysis of mice tear fluid by capillary electrophoresis. Analytical and Bioanalytical Chemistry. 411(2). 329–338. 7 indexed citations
3.
Zeng, Q., et al.. (2016). Prefractionation methods for individual adult fruit fly hemolymph proteomic analysis. Journal of Chromatography B. 1015-1016. 74–81. 4 indexed citations
4.
Zeng, Q., et al.. (2016). Threads for tear film collection and support in quantitative amino acid analysis. Analytical and Bioanalytical Chemistry. 408(19). 5309–5317. 20 indexed citations
5.
Augustin, Hrvoje, et al.. (2009). Hemolymph amino acid variations following behavioral and genetic changes in individual Drosophila larvae. Amino Acids. 38(3). 779–788. 13 indexed citations
7.
Wirtshafter, David, et al.. (2008). Feeding specific glutamate surge in the rat lateral hypothalamus revealed by low-flow push–pull perfusion. Pharmacology Biochemistry and Behavior. 89(4). 591–597. 23 indexed citations
8.
Shippy, Scott A., José S. Pulido, Haohua Qian, J. Daniel Nelson, & Miao Lu. (2007). Evidence for Corneal Glutamate Receptor Expression and Function. Investigative Ophthalmology & Visual Science. 48(13). 3472–3472. 4 indexed citations
9.
Pulido, José S., et al.. (2007). Sub-microlitre dialysis system to enable trace level peptide detection from volume-limited biological samples using MALDI-TOF-MS. The Analyst. 132(10). 1046–1046. 8 indexed citations
10.
Bula, Deisy V., et al.. (2007). Amino-acid levels in subretinal and vitreous fluid of patients with retinal detachment. Eye. 22(4). 582–589. 26 indexed citations
11.
Pulido, José S., et al.. (2007). Detection of Elevated Signaling Amino Acids in Human Diabetic Vitreous by Rapid Capillary Electrophoresis. Journal of Diabetes Research. 2007(1). 39765–39765. 22 indexed citations
12.
Shippy, Scott A., et al.. (2005). Hadamard transform CE‐UV detection for biological samples. Journal of Separation Science. 28(2). 128–136. 14 indexed citations
13.
Shippy, Scott A., et al.. (2005). Multiplexed detection of nitrate and nitrite for capillary electrophoresis with an automated device for high injection efficiency. The Analyst. 131(2). 222–228. 22 indexed citations
14.
Zhao, Xiaoyan, et al.. (2004). MALDI-TOF MS detection of dilute, volume-limited peptide samples with physiological salt levels. The Analyst. 129(9). 817–817. 18 indexed citations
15.
Kottegoda, Sumith, et al.. (2004). Determination of nitrate and nitrite in rat brain perfusates by capillary electrophoresis. Electrophoresis. 25(9). 1264–1269. 35 indexed citations
16.
Merali, Zul, Samir Khan, David S. Michaud, Scott A. Shippy, & H. Anisman. (2004). Does amygdaloid corticotropin‐releasing hormone (CRH) mediate anxiety‐like behaviors? Dissociation of anxiogenic effects and CRH release. European Journal of Neuroscience. 20(1). 229–239. 63 indexed citations
17.
Kottegoda, Sumith, et al.. (2004). Determination of amino acids in rat vitreous perfusates by capillary electrophoresis. Electrophoresis. 25(17). 2978–2984. 58 indexed citations
18.
Zhao, Xiaoyan, Sumith Kottegoda, & Scott A. Shippy. (2003). Solid-phase immunoassay detection of peptides from complex matrices without a separation. The Analyst. 128(4). 357–362. 7 indexed citations
19.
Kottegoda, Sumith, et al.. (2002). Demonstration of low flow push–pull perfusion. Journal of Neuroscience Methods. 121(1). 93–101. 79 indexed citations
20.
Garden, Rebecca W., Leonid L. Moroz, Tatiana P. Moroz, Scott A. Shippy, & Jonathan V. Sweedler. (1996). Excess Salt Removal with Matrix Rinsing: Direct Peptide Profiling of Neurons from Marine Invertebrates Using Matrix-assisted Laser Desorption/Ionization Time-of-flight Mass Spectrometry. Journal of Mass Spectrometry. 31(10). 1126–1130. 101 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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