Gary J. Jenkins

1.3k total citations
41 papers, 825 citations indexed

About

Gary J. Jenkins is a scholar working on Molecular Biology, Oncology and Spectroscopy. According to data from OpenAlex, Gary J. Jenkins has authored 41 papers receiving a total of 825 indexed citations (citations by other indexed papers that have themselves been cited), including 18 papers in Molecular Biology, 11 papers in Oncology and 8 papers in Spectroscopy. Recurrent topics in Gary J. Jenkins's work include Drug Transport and Resistance Mechanisms (6 papers), Nitric Oxide and Endothelin Effects (5 papers) and Pharmacogenetics and Drug Metabolism (5 papers). Gary J. Jenkins is often cited by papers focused on Drug Transport and Resistance Mechanisms (6 papers), Nitric Oxide and Endothelin Effects (5 papers) and Pharmacogenetics and Drug Metabolism (5 papers). Gary J. Jenkins collaborates with scholars based in United States, China and Thailand. Gary J. Jenkins's co-authors include DeAnne Stolarik, Yoichi Osawa, Lynne S. Taylor, Geoff G. Z. Zhang, Donald J. Osterling, Xiaochun Lou, Ezra R. Lowe, Yoshihiro Morishima, Wenqing Gao and William B. Pratt and has published in prestigious journals such as Journal of Biological Chemistry, Scientific Reports and Journal of Controlled Release.

In The Last Decade

Gary J. Jenkins

40 papers receiving 791 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Gary J. Jenkins United States 15 342 189 130 114 75 41 825
DeAnne Stolarik United States 14 250 0.7× 218 1.2× 106 0.8× 213 1.9× 27 0.4× 20 730
Vikas Tyagi India 28 709 2.1× 135 0.7× 70 0.5× 101 0.9× 51 0.7× 94 2.6k
Veli‐Pekka Ranta Finland 23 650 1.9× 455 2.4× 51 0.4× 142 1.2× 57 0.8× 64 1.8k
Robert A. Carr United States 19 193 0.6× 338 1.8× 156 1.2× 191 1.7× 41 0.5× 41 986
Charlotte Vermehren Denmark 17 371 1.1× 277 1.5× 68 0.5× 58 0.5× 34 0.5× 56 978
Helgi Jung–Cook Mexico 19 118 0.3× 48 0.3× 93 0.7× 93 0.8× 20 0.3× 56 922
Richard Svensson Sweden 18 491 1.4× 35 0.2× 46 0.4× 184 1.6× 52 0.7× 42 1.1k
Tomomi Hatanaka Japan 17 172 0.5× 485 2.6× 21 0.2× 103 0.9× 32 0.4× 62 1.0k
Frits Moolenaar Netherlands 21 425 1.2× 172 0.9× 45 0.3× 194 1.7× 83 1.1× 68 1.3k
Anders Buur Denmark 19 286 0.8× 257 1.4× 56 0.4× 224 2.0× 23 0.3× 36 829

Countries citing papers authored by Gary J. Jenkins

Since Specialization
Citations

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

Fields of papers citing papers by Gary J. Jenkins

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Gary J. Jenkins. 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 Gary J. Jenkins. The network helps show where Gary J. Jenkins may publish in the future.

Co-authorship network of co-authors of Gary J. Jenkins

This figure shows the co-authorship network connecting the top 25 collaborators of Gary J. Jenkins. A scholar is included among the top collaborators of Gary J. Jenkins 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 Gary J. Jenkins. Gary J. Jenkins 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.
Li, Yihan, Heather Jackson, Yuting Wang, et al.. (2025). A novel in vitro serum stability assay for antibody therapeutics incorporating internal standards. mAbs. 17(1). 2479529–2479529. 1 indexed citations
2.
Savaryn, John P., et al.. (2024). High throughput bioanalysis of serum 7a-hydroxy-4-cholesten-3-one (C4) using LC-MS/MS: Devising an end-to-end single vial solution for a sample limited application. Journal of Pharmaceutical and Biomedical Analysis. 255. 116581–116581.
3.
Lynch, Thomas L., Violeta L. Marin, Ryan A. McClure, et al.. (2024). Quantitative Measurement of Rate of Targeted Protein Degradation. ACS Chemical Biology. 19(7). 1604–1615. 5 indexed citations
4.
Price, Edward, Mei Feng, Stella Z. Doktor, et al.. (2024). High-Throughput SFC-MS/MS Method to Measure EPSA and Predict Human Permeability. Journal of Medicinal Chemistry. 67(16). 13765–13777. 6 indexed citations
5.
Savaryn, John P., R. Kikuchi, Yuli Qian, et al.. (2024). Endogenous plasma riboflavin is not a viable BCRP biomarker in human. Clinical and Translational Science. 17(12). e70109–e70109. 2 indexed citations
6.
Freiberger, Elyse C., Michael P. Thompson, Xiaomei Zhang, et al.. (2024). Utility of Common In Vitro Systems for Predicting Circulating Metabolites. Drug Metabolism and Disposition. 52(12). 1373–1378. 3 indexed citations
7.
Li, Yihan, et al.. (2024). Intact quantitation of cysteine‐conjugated antibody‐drug conjugates using native mass spectrometry. Rapid Communications in Mass Spectrometry. 38(15). e9774–e9774. 5 indexed citations
8.
9.
Savaryn, John P., Jun Sun, Junli Ma, Gary J. Jenkins, & David M. Stresser. (2021). Broad Application of CYP3A4 Liquid Chromatography-Mass Spectrometry Protein Quantification in Hepatocyte Cytochrome P450 Induction Assays Identifies Nonuniformity in mRNA and Protein Induction Responses. Drug Metabolism and Disposition. 50(2). 105–113. 14 indexed citations
10.
Kikuchi, Ryota, William J. Chiou, Kenneth R. Durbin, et al.. (2021). Quantitation of Plasma Membrane Drug Transporters in Kidney Tissue and Cell Lines Using a Novel Proteomic Approach Enabled a Prospective Prediction of Metformin Disposition. Drug Metabolism and Disposition. 49(10). 938–946. 7 indexed citations
11.
12.
13.
Purohit, Hitesh S., Niraj S. Trasi, Donald J. Osterling, et al.. (2019). Assessing the Impact of Endogenously Derived Crystalline Drug on the in Vivo Performance of Amorphous Formulations. Molecular Pharmaceutics. 16(8). 3617–3625. 27 indexed citations
14.
15.
Peterkin, Vincent, et al.. (2015). A High Throughput, 384-Well, Semi-Automated, Hepatocyte Intrinsic Clearance Assay for Screening New Molecular Entities in Drug Discovery. Combinatorial Chemistry & High Throughput Screening. 18(5). 442–452. 9 indexed citations
16.
Nunamaker, Elizabeth A., et al.. (2014). Clinical efficacy of sustained-release buprenorphine with meloxicam for postoperative analgesia in beagle dogs undergoing ovariohysterectomy.. PubMed. 53(5). 494–501. 34 indexed citations
17.
García, Kelly, et al.. (2014). Pharmacokinetics of sustained-release and transdermal buprenorphine in Göttingen minipigs (Sus scrofa domestica).. PubMed. 53(6). 692–9. 27 indexed citations
18.
Choo, Edna F., Jason Boggs, Joseph W. Lubach, et al.. (2013). The Role of Lymphatic Transport on the Systemic Bioavailability of the Bcl-2 Protein Family Inhibitors Navitoclax (ABT-263) and ABT-199. Drug Metabolism and Disposition. 42(2). 207–212. 50 indexed citations
19.
Peng, Hwei‐Ming, Gary J. Jenkins, Michael Ford, et al.. (2012). Ubiquitination of Neuronal Nitric-oxide Synthase in the Calmodulin-binding Site Triggers Proteasomal Degradation of the Protein. Journal of Biological Chemistry. 287(51). 42601–42610. 10 indexed citations
20.
Kamada, Yasuhiko, et al.. (2004). Ubiquitination and Degradation of Neuronal Nitric-Oxide Synthase in Vitro: Dimer Stabilization Protects the Enzyme from Proteolysis. Molecular Pharmacology. 66(4). 964–969. 39 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.

Explore authors with similar magnitude of impact

Breakdown of academic impact, for papers by DeAnne Stolarik Breakdown of academic impact, for papers by Vikas Tyagi Breakdown of academic impact, for papers by Veli‐Pekka Ranta Breakdown of academic impact, for papers by Robert A. Carr Breakdown of academic impact, for papers by Charlotte Vermehren Breakdown of academic impact, for papers by Helgi Jung–Cook Breakdown of academic impact, for papers by Richard Svensson Breakdown of academic impact, for papers by Tomomi Hatanaka Breakdown of academic impact, for papers by Frits Moolenaar Breakdown of academic impact, for papers by Anders Buur
Rankless by CCL
2026