Craig E. Lunte

6.3k total citations
135 papers, 4.8k citations indexed

About

Craig E. Lunte is a scholar working on Biomedical Engineering, Pharmacology and Molecular Biology. According to data from OpenAlex, Craig E. Lunte has authored 135 papers receiving a total of 4.8k indexed citations (citations by other indexed papers that have themselves been cited), including 59 papers in Biomedical Engineering, 36 papers in Pharmacology and 33 papers in Molecular Biology. Recurrent topics in Craig E. Lunte's work include Microfluidic and Capillary Electrophoresis Applications (51 papers), Antibiotics Pharmacokinetics and Efficacy (34 papers) and Analytical Chemistry and Sensors (19 papers). Craig E. Lunte is often cited by papers focused on Microfluidic and Capillary Electrophoresis Applications (51 papers), Antibiotics Pharmacokinetics and Efficacy (34 papers) and Analytical Chemistry and Sensors (19 papers). Craig E. Lunte collaborates with scholars based in United States, Ireland and Türkiye. Craig E. Lunte's co-authors include Susan M. Lunte, Dennis O. Scott, David J. Weiss, Damon M. Osbourn, Peter T. Kissinger, Malonne I. Davies, Yeping Zhao, William R. Heineman, Martin Telting‐Diaz and Howard P. Hendrickson and has published in prestigious journals such as Chemical Society Reviews, Analytical Chemistry and Advanced Drug Delivery Reviews.

In The Last Decade

Craig E. Lunte

135 papers receiving 4.6k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Craig E. Lunte United States 40 2.3k 954 954 918 776 135 4.8k
Susan M. Lunte United States 50 4.2k 1.8× 391 0.4× 970 1.0× 1.3k 1.4× 1.3k 1.7× 158 6.9k
Kenichiro Nakashima Japan 36 794 0.3× 476 0.5× 1.4k 1.4× 967 1.1× 560 0.7× 277 4.9k
Roberto Mandrioli Italy 39 630 0.3× 784 0.8× 1.0k 1.1× 613 0.7× 334 0.4× 150 4.0k
Guoan Luo China 36 756 0.3× 320 0.3× 476 0.5× 1.4k 1.5× 1.3k 1.7× 155 4.0k
Masatoshi Yamaguchi Japan 35 596 0.3× 283 0.3× 1.5k 1.5× 2.0k 2.1× 583 0.8× 243 4.8k
Fathalla Belal Egypt 38 779 0.3× 1.9k 2.0× 2.2k 2.3× 1.2k 1.3× 1.2k 1.5× 451 6.7k
U.R. Tjaden Netherlands 40 2.1k 0.9× 302 0.3× 2.5k 2.6× 1.2k 1.3× 318 0.4× 177 4.6k
Neil W. Barnett Australia 40 1.6k 0.7× 400 0.4× 1.6k 1.6× 2.1k 2.2× 1.3k 1.6× 195 5.8k
Vanni Cavrini Italy 36 706 0.3× 1.3k 1.4× 1.2k 1.2× 995 1.1× 269 0.3× 157 4.2k
Jun Haginaka Japan 45 1.9k 0.8× 622 0.7× 3.8k 4.0× 1.3k 1.4× 311 0.4× 240 6.5k

Countries citing papers authored by Craig E. Lunte

Since Specialization
Citations

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

Fields of papers citing papers by Craig E. Lunte

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Craig E. Lunte. 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 Craig E. Lunte. The network helps show where Craig E. Lunte may publish in the future.

Co-authorship network of co-authors of Craig E. Lunte

This figure shows the co-authorship network connecting the top 25 collaborators of Craig E. Lunte. A scholar is included among the top collaborators of Craig E. Lunte 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 Craig E. Lunte. Craig E. Lunte 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.
Tchernychev, Boris, Pei Ge, Marco M. Kessler, et al.. (2015). MRP4 Modulation of the Guanylate Cyclase-C/cGMP Pathway: Effects on Linaclotide-Induced Electrolyte Secretion and cGMP Efflux. Journal of Pharmacology and Experimental Therapeutics. 355(1). 48–56. 22 indexed citations
2.
3.
Lunte, Craig E., et al.. (2010). Investigation of microdialysis sampling calibration approaches for lipophilic analytes: Doxorubicin. Journal of Pharmaceutical and Biomedical Analysis. 53(3). 490–496. 14 indexed citations
4.
Lunte, Craig E., et al.. (2008). The direct comparison of health and ulcerated stomach tissue: A multiple probe microdialysis sampling approach. Journal of Pharmaceutical and Biomedical Analysis. 48(1). 85–91. 3 indexed citations
5.
Anderson, Carter, et al.. (2007). Investigation of Drug Delivery by Iontophoresis in a Surgical Wound Utilizing Microdialysis. Pharmaceutical Research. 25(8). 1762–1770. 10 indexed citations
6.
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8.
Lunte, Craig E., et al.. (1998). [An improved method for microdialysis study of noradrenaline level in rat myocardium].. PubMed. 44(4). 405–11. 1 indexed citations
9.
Smyth, Malcolm R., et al.. (1998). Development of a capillary electrophoretic separation of an N-(substituted)-glycine-peptoid combinatorial mixture. Journal of Chromatography B Biomedical Sciences and Applications. 707(1-2). 247–255. 4 indexed citations
10.
Hadwiger, Michael E., et al.. (1997). Simultaneous determination of the elimination profiles of the individual enantiomers of racemic isoproterenol using capillary electrophoresis and microdialysis sampling. Journal of Pharmaceutical and Biomedical Analysis. 15(5). 621–629. 28 indexed citations
11.
Zhao, Yeping & Craig E. Lunte. (1997). Determination of caffeine and its metabolites by micellar electrokinetic capillary electrophoresis. Journal of Chromatography B Biomedical Sciences and Applications. 688(2). 265–274. 54 indexed citations
12.
Hadwiger, Michael E., et al.. (1996). Optimization of the separation and detection of the enantiomers of isoproterenol in microdialysis samples by cyclodextrin-modified capillary electrophoresis using electrochemical detection. Journal of Chromatography B Biomedical Sciences and Applications. 681(2). 241–249. 82 indexed citations
13.
Lunte, Craig E., et al.. (1995). Microdialysis sampling coupled to on-line microbore liquid chromatography for pharmacokinetic studies. Journal of Pharmaceutical and Biomedical Analysis. 13(2). 149–154. 28 indexed citations
14.
Davies, Malonne I., Craig E. Lunte, & Malcolm R. Smyth. (1995). Use of micellar electrokinetic capillary chromatography in the study of in vitro metabolism of phenol by human liver microsomes. Journal of Pharmaceutical and Biomedical Analysis. 13(7). 893–897. 6 indexed citations
15.
Lunte, Craig E., et al.. (1994). Microdialysis sampling in tumor and muscle: Study of the disposition of 3-amino-1,2,4-benzotriazine-1,4-di-N-oxide (SR 4233). Life Sciences. 55(10). 815–825. 43 indexed citations
16.
Telting‐Diaz, Martin, Dennis O. Scott, & Craig E. Lunte. (1992). Intravenous microdialysis sampling in awake, freely-moving rats. Analytical Chemistry. 64(7). 806–810. 95 indexed citations
17.
Lunte, Craig E., et al.. (1992). Microdialysis Sampling for the Investigation of Dermal Drug Transport. Pharmaceutical Research. 9(10). 1256–1261. 34 indexed citations
18.
Scott, Dennis O., et al.. (1991). In Vivo Microdialysis Sampling for Pharmacokinetic Investigations. Pharmaceutical Research. 8(3). 389–392. 51 indexed citations
19.
Scott, Dennis O., et al.. (1990). In vivo microdialysis sampling coupled to liquid chromatography for the study of acetaminophen metabolism. Journal of Chromatography A. 506. 461–469. 40 indexed citations
20.
Scott, Dennis O., et al.. (1989). Microdialysis-perfusion sampling for the investigation of phenol metabolism. Journal of Pharmaceutical and Biomedical Analysis. 7(11). 1249–1259. 18 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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