Steve E. Unger

1.8k total citations
50 papers, 1.2k citations indexed

About

Steve E. Unger is a scholar working on Spectroscopy, Molecular Biology and Analytical Chemistry. According to data from OpenAlex, Steve E. Unger has authored 50 papers receiving a total of 1.2k indexed citations (citations by other indexed papers that have themselves been cited), including 19 papers in Spectroscopy, 10 papers in Molecular Biology and 8 papers in Analytical Chemistry. Recurrent topics in Steve E. Unger's work include Analytical Chemistry and Chromatography (14 papers), Mass Spectrometry Techniques and Applications (13 papers) and HIV/AIDS drug development and treatment (6 papers). Steve E. Unger is often cited by papers focused on Analytical Chemistry and Chromatography (14 papers), Mass Spectrometry Techniques and Applications (13 papers) and HIV/AIDS drug development and treatment (6 papers). Steve E. Unger collaborates with scholars based in United States, Germany and Malaysia. Steve E. Unger's co-authors include Jing‐Tao Wu, Hang Zeng, Yuzhong Deng, John C. Lindon, Jeremy K. Nicholson, John P. Shockcor, Adrienne A. Tymiak, Raymond Cooper, Ian D. Wilson and W. Griffith Humphreys and has published in prestigious journals such as Analytical Chemistry, The FASEB Journal and Inorganic Chemistry.

In The Last Decade

Steve E. Unger

48 papers receiving 1.2k citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Steve E. Unger United States	22	562	478	225	195	150	50	1.2k
John Ayrton United Kingdom	23	535 1.0×	396 0.8×	164 0.7×	145 0.7×	146 1.0×	35	1.5k
Shrikant V. Dighe United States	11	317 0.6×	402 0.8×	372 1.7×	171 0.9×	83 0.6×	20	1.7k
Anthony J. DeStefano United States	11	381 0.7×	578 1.2×	322 1.4×	285 1.5×	132 0.9×	24	1.9k
Chin‐Chung Lin United States	23	292 0.5×	449 0.9×	149 0.7×	113 0.6×	105 0.7×	78	1.5k
Jim X Shen United States	18	469 0.8×	282 0.6×	238 1.1×	213 1.1×	136 0.9×	51	1.1k
Mike S. Lee United States	21	687 1.2×	509 1.1×	167 0.7×	127 0.7×	316 2.1×	32	1.4k
Olivier Heudi Switzerland	22	391 0.7×	569 1.2×	214 1.0×	93 0.5×	125 0.8×	48	1.6k
Jianing Zeng United States	21	339 0.6×	639 1.3×	92 0.4×	125 0.6×	109 0.7×	66	1.3k
Anne‐Françoise Aubry United States	25	530 0.9×	814 1.7×	199 0.9×	179 0.9×	200 1.3×	70	1.8k
Sophie Martel Switzerland	21	382 0.7×	578 1.2×	118 0.5×	64 0.3×	139 0.9×	48	1.4k

Countries citing papers authored by Steve E. Unger

Since Specialization

Citations

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

Fields of papers citing papers by Steve E. Unger

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Steve E. Unger

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

All Works

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20 of 20 papers shown

Woodyer, Ryan D., et al.. (2014). A single‐dose, microtracer study to determine the mass balance of orally administered, ¹⁴ C‐labeled sweetener in healthy adult men (LB450). The FASEB Journal. 28(S1).

Furlong, Michael, et al.. (2011). A validated LC–MS/MS assay for the simultaneous determination of the anti-leukemic agent dasatinib and two pharmacologically active metabolites in human plasma: Application to a clinical pharmacokinetic study. Journal of Pharmaceutical and Biomedical Analysis. 58. 130–135. 31 indexed citations

Zhang, Wei, et al.. (2011). The impact of decreased bead count to determine concentrations of amyloid beta1‐42, total‐tau, and phosphorylated‐tau181 in human cerebrospinal fluid using xMAP technology. Journal of Pharmaceutical Sciences. 100(11). 4655–4663. 4 indexed citations

Ji, Ping, et al.. (2008). Pharmacokinetic Interaction Between Efavirenz and Carbamazepine After Multiple‐Dose Administration in Healthy Subjects. The Journal of Clinical Pharmacology. 48(8). 948–956. 32 indexed citations

Zhang, Donglu, Nirmala Raghavan, Theodore J. Chando, et al.. (2007). LC-MS/MS-Based Approach for Obtaining Exposure Estimates of Metabolites in Early Clinical Trials Using Radioactive Metabolites as Reference Standards. Drug Metabolism Letters. 1(4). 293–298. 27 indexed citations

Arnold, Mark E., et al.. (2007). Quantitative determination of BMS‐378806 in human plasma and urine by high‐performance liquid chromatography/tandem mass spectrometry. Journal of Separation Science. 30(9). 1267–1275. 18 indexed citations

Zeng, Jianing, David Onthank, Paul D. Crane, et al.. (2007). Simultaneous determination of a selective adenosine 2A agonist, BMS-068645, and its acid metabolite in human plasma by liquid chromatography-tandem mass spectrometry—Evaluation of the esterase inhibitor, diisopropyl fluorophosphate, in the stabilization of a labile ester-containing drug. Journal of Chromatography B. 852(1-2). 77–84. 25 indexed citations

Gu, Huidong, Steve E. Unger, & Yuzhong Deng. (2006). Automated Tecan Programming for Bioanalytical Sample Preparation with EZTecan. Assay and Drug Development Technologies. 4(6). 721–733. 12 indexed citations

Liu, Jane, et al.. (2006). A simplified protein precipitation/mixed‐mode cation‐exchange solid‐phase extraction, followed by high‐speed liquid chromatography/mass spectrometry, for the determination of a basic drug in human plasma. Rapid Communications in Mass Spectrometry. 20(18). 2660–2668. 25 indexed citations

10.

Chaimbault, Patrick, et al.. (2006). Analysis and validation of the phosphorylated metabolites of two anti‐human immunodeficiency virus nucleotides (stavudine and didanosine) by pressure‐assisted CE‐ESI‐MS/MS in cell extracts: Sensitivity enhancement by the use of perfluorinated acids and alcohols as coaxial sheath‐liquid make‐up constituents. Electrophoresis. 27(12). 2464–2476. 16 indexed citations

11.

Turner, K. C., et al.. (2003). Quantitative determination of pioglitazone in human serum by direct-injection high-performance liquid chromatography mass spectrometry and its application to a bioequivalence study. Journal of Chromatography B. 795(2). 215–226. 64 indexed citations

12.

Deng, Yuzhong, et al.. (2002). High‐speed gradient parallel liquid chromatography/tandem mass spectrometry with fully automated sample preparation for bioanalysis: 30 seconds per sample from plasma. Rapid Communications in Mass Spectrometry. 16(11). 1116–1123. 60 indexed citations

13.

Shi, Guoen, Jingtao Wu, Li Yu, et al.. (2002). Novel direct detection method for quantitative determination of intracellular nucleoside triphosphates using weak anion exchange liquid chromatography/tandem mass spectrometry. Rapid Communications in Mass Spectrometry. 16(11). 1092–1099. 56 indexed citations

14.

Zheng, Joanna J., Eric D. Lynch, & Steve E. Unger. (2002). Comparison of SPE and fast LC to eliminate mass spectrometric matrix effects from microsomal incubation products. Journal of Pharmaceutical and Biomedical Analysis. 28(2). 279–285. 21 indexed citations

15.

Zeng, Hang, Jing‐Tao Wu, & Steve E. Unger. (2002). The investigation and the use of high flow column-switching LC/MS/MS as a high-throughput approach for direct plasma sample analysis of single and multiple components in pharmacokinetic studies. Journal of Pharmaceutical and Biomedical Analysis. 27(6). 967–982. 33 indexed citations

16.

Deng, Yuzhong, Hang Zeng, Steve E. Unger, & Jing‐Tao Wu. (2001). Multiple‐sprayer tandem mass spectrometry with parallel high flow extraction and parallel separation for high‐throughput quantitation in biological fluids. Rapid Communications in Mass Spectrometry. 15(17). 1634–1640. 12 indexed citations

17.

Wu, Jing‐Tao, Hang Zeng, Yuzhong Deng, & Steve E. Unger. (2001). High‐speed liquid chromatography/tandem mass spectrometry using a monolithic column for high‐throughput bioanalysis. Rapid Communications in Mass Spectrometry. 15(13). 1113–1119. 61 indexed citations

18.

Shockcor, John P., Steve E. Unger, Paul Savina, Jeremy K. Nicholson, & John C. Lindon. (2000). Application of directly coupled LC–NMR–MS to the structural elucidation of metabolites of the HIV-1 reverse-transcriptase inhibitor BW935U83. Journal of Chromatography B Biomedical Sciences and Applications. 748(1). 269–279. 28 indexed citations

19.

Nicholls, Andrew W., R. Duncan Farrant, John P. Shockcor, et al.. (1997). NMR and HPLC-NMR spectroscopic studies of futile deacetylation in paracetamol metabolites in rat and man. Journal of Pharmaceutical and Biomedical Analysis. 15(7). 901–910. 19 indexed citations

20.

Bisacchi, Gregory S., et al.. (1987). Xylocandin: A new complex of antifungal peptides. II. Structural studies and chemical modifications.. The Journal of Antibiotics. 40(11). 1520–1529. 23 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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