Steven C. Sutton

2.5k total citations · 1 hit paper
35 papers, 1.9k citations indexed

About

Steven C. Sutton is a scholar working on Pharmaceutical Science, Molecular Biology and Pharmacology. According to data from OpenAlex, Steven C. Sutton has authored 35 papers receiving a total of 1.9k indexed citations (citations by other indexed papers that have themselves been cited), including 16 papers in Pharmaceutical Science, 7 papers in Molecular Biology and 7 papers in Pharmacology. Recurrent topics in Steven C. Sutton's work include Drug Solubulity and Delivery Systems (15 papers), Advanced Drug Delivery Systems (7 papers) and Antibiotics Pharmacokinetics and Efficacy (6 papers). Steven C. Sutton is often cited by papers focused on Drug Solubulity and Delivery Systems (15 papers), Advanced Drug Delivery Systems (7 papers) and Antibiotics Pharmacokinetics and Efficacy (6 papers). Steven C. Sutton collaborates with scholars based in United States, Japan and Canada. Steven C. Sutton's co-authors include Ronald D. Hills, Cody A. Black, Benjamin Pontefract, Cory R. Theberge, Edward L. LeCluyse, Gaylen M. Zentner, Karen Engle, A. Kamiya, H L Fung and Kazuko Sagawa and has published in prestigious journals such as Advanced Drug Delivery Reviews, Journal of Controlled Release and Journal of Pharmacology and Experimental Therapeutics.

In The Last Decade

Steven C. Sutton

35 papers receiving 1.8k citations

Hit Papers

Gut Microbiome: Profound Implications for Diet and Disease 2019 2026 2021 2023 2019 250 500 750

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Steven C. Sutton United States 20 681 580 405 253 156 35 1.9k
W. A. Ritschel United States 28 365 0.5× 777 1.3× 165 0.4× 180 0.7× 75 0.5× 146 2.5k
Pavel Gershkovich United Kingdom 28 523 0.8× 571 1.0× 117 0.3× 259 1.0× 37 0.2× 96 2.4k
James W. Ayres United States 25 450 0.7× 591 1.0× 121 0.3× 76 0.3× 99 0.6× 91 1.9k
Mirko Koziolek Germany 25 328 0.5× 1.3k 2.2× 171 0.4× 180 0.7× 618 4.0× 59 2.2k
Geoffrey Warhurst United Kingdom 22 413 0.6× 103 0.2× 104 0.3× 274 1.1× 76 0.5× 34 1.4k
Nobuhito Shibata Japan 27 411 0.6× 757 1.3× 36 0.1× 377 1.5× 61 0.4× 96 2.2k
G. E. Sladen United Kingdom 31 311 0.5× 119 0.2× 419 1.0× 200 0.8× 469 3.0× 67 2.1k
Eva Benfeldt Denmark 23 352 0.5× 487 0.8× 227 0.6× 25 0.1× 55 0.4× 40 1.9k
David Banji India 22 401 0.6× 386 0.7× 144 0.4× 55 0.2× 17 0.1× 123 2.0k
M. Senft France 23 324 0.5× 163 0.3× 631 1.6× 81 0.3× 58 0.4× 46 2.3k

Countries citing papers authored by Steven C. Sutton

Since Specialization
Citations

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

Fields of papers citing papers by Steven C. Sutton

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Steven C. Sutton. 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 Steven C. Sutton. The network helps show where Steven C. Sutton may publish in the future.

Co-authorship network of co-authors of Steven C. Sutton

This figure shows the co-authorship network connecting the top 25 collaborators of Steven C. Sutton. A scholar is included among the top collaborators of Steven C. Sutton 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 Steven C. Sutton. Steven C. Sutton 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
2.
Cook, Jack, et al.. (2012). Estimating product bioequivalence for highly variable veterinary drugs. Journal of Veterinary Pharmacology and Therapeutics. 35(s1). 11–16. 6 indexed citations
3.
Thombre, Avinash G., W. Brett Caldwell, Dwayne T. Friesen, Scott B. McCray, & Steven C. Sutton. (2012). Solid Nanocrystalline Dispersions of Ziprasidone with Enhanced Bioavailability in the Fasted State. Molecular Pharmaceutics. 9(12). 3526–3534. 20 indexed citations
4.
Sutton, Steven C.. (2009). Role of Physiological Intestinal Water in Oral Absorption. The AAPS Journal. 11(2). 277–285. 63 indexed citations
5.
Sagawa, Kazuko, et al.. (2009). Fed and fasted gastric pH and gastric residence time in conscious beagle dogs. Journal of Pharmaceutical Sciences. 98(7). 2494–2500. 87 indexed citations
6.
Sutton, Steven C. & Mingxiu Hu. (2006). An automated process for building reliable and optimal in vitro/in vivo correlation models based on Monte Carlo simulations. The AAPS Journal. 8(2). E307–E313. 4 indexed citations
7.
Sutton, Steven C., et al.. (2006). Dog Colonoscopy Model for Predicting Human Colon Absorption. Pharmaceutical Research. 23(7). 1554–1563. 34 indexed citations
8.
Sutton, Steven C.. (2004). Companion animal physiology and dosage form performance. Advanced Drug Delivery Reviews. 56(10). 1383–1398. 65 indexed citations
9.
Waterman, Kenneth C. & Steven C. Sutton. (2003). A computational model for particle size influence on drug absorption during controlled-release colonic delivery. Journal of Controlled Release. 86(2-3). 293–304. 26 indexed citations
10.
Sutton, Steven C., et al.. (2002). A Statistical Method for the Determination of Absorption Rate Constant Estimated Using the Rat Single Pass Intestinal Perfusion Model and Multiple Linear Regression. Journal of Pharmaceutical Sciences. 91(4). 1046–1053. 19 indexed citations
12.
Gibbs, E. Michael, et al.. (1996). Predicting Injection Site Muscle Damage III: Evaluation of Intramuscular Formulations in the L6 Cell Model. Pharmaceutical Research. 13(10). 1585–1587. 4 indexed citations
13.
LeCluyse, Edward L., Steven C. Sutton, & Joseph A. Fix. (1993). In vitro effects of long-chain acylcarnitines on the permeability, transepithelial electrical resistance and morphology of rat colonic mucosa.. Journal of Pharmacology and Experimental Therapeutics. 265(2). 955–962. 30 indexed citations
14.
Sutton, Steven C., Edward L. LeCluyse, Karen Engle, J.D. Pipkin, & Joseph A. Fix. (1993). Enhanced Bioavailability of Cefoxitin Using Palmitoylcarnitine. II. Use of Directly Compressed Tablet Formulations in the Rat and Dog. Pharmaceutical Research. 10(10). 1516–1520. 14 indexed citations
15.
Sutton, Steven C., et al.. (1992). Enhanced bioavailability of cefoxitin using palmitoyl L-carnitine. I. Enhancer activity in different intestinal regions.. Pharmaceutical Research. 9(2). 191–194. 16 indexed citations
16.
LeCluyse, Edward L., et al.. (1991). Relationship Between Drug Absorption Enhancing Activity and Membrane Perturbing Effects of Acylcarnitines. Pharmaceutical Research. 8(1). 84–87. 54 indexed citations
17.
Sutton, Steven C., et al.. (1991). The Solubility-Modulated Osmotic Pump: In Vitro/in Vivo Release of Diltiazem Hydrochloride. Pharmaceutical Research. 8(1). 88–92. 75 indexed citations
18.
Sutton, Steven C., et al.. (1990). Performance of Diltiazem Tablet and Multiparticulate Osmotic Formulations in the Dog. Pharmaceutical Research. 7(8). 874–878. 5 indexed citations
19.
Morris, Marilyn E., et al.. (1987). Absorption of Magnesium from Orally Administered Magnesium Sulfate in Man. Journal of Toxicology Clinical Toxicology. 25(5). 371–382. 22 indexed citations
20.
Fung, H L, Steven C. Sutton, & A. Kamiya. (1984). Blood vessel uptake and metabolism of organic nitrates in the rat.. Journal of Pharmacology and Experimental Therapeutics. 228(2). 334–341. 79 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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