Karen Schneck

432 total citations
16 papers, 344 citations indexed

About

Karen Schneck is a scholar working on Endocrinology, Diabetes and Metabolism, Surgery and Molecular Biology. According to data from OpenAlex, Karen Schneck has authored 16 papers receiving a total of 344 indexed citations (citations by other indexed papers that have themselves been cited), including 10 papers in Endocrinology, Diabetes and Metabolism, 6 papers in Surgery and 3 papers in Molecular Biology. Recurrent topics in Karen Schneck's work include Diabetes Treatment and Management (9 papers), Diabetes Management and Research (8 papers) and Pancreatic function and diabetes (6 papers). Karen Schneck is often cited by papers focused on Diabetes Treatment and Management (9 papers), Diabetes Management and Research (8 papers) and Pancreatic function and diabetes (6 papers). Karen Schneck collaborates with scholars based in United States, Spain and Singapore. Karen Schneck's co-authors include Fabián Tibaldi, Peggy L. Barrington, Bernice Ellis, H. D. Hollis Showalter, Jenny Y. Chien, Shichao Cui, Todd A. Hardy, Y. Anne Pak, James A. Bacon and Richard B. Kim and has published in prestigious journals such as The Journal of Clinical Endocrinology & Metabolism, Clinical Cancer Research and Clinical Pharmacology & Therapeutics.

In The Last Decade

Karen Schneck

13 papers receiving 336 citations

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author						Papers	Cites
Karen Schneck	197	121	113	77	63	16	344
Anne Hickman	201 1.0×	132 1.1×	94 0.8×	60 0.8×	38 0.6×	32	360
Joanna Parkinson	85 0.4×	125 1.0×	98 0.9×	31 0.4×	24 0.4×	36	379
Shinji Kamei	191 1.0×	90 0.7×	105 0.9×	44 0.6×	32 0.5×	44	356
Komuraiah Myakala	272 1.4×	180 1.5×	185 1.6×	41 0.5×	56 0.9×	18	580
Elena V. Feofanova	140 0.7×	169 1.4×	115 1.0×	57 0.7×	23 0.4×	14	402
Danielle Armas	47 0.2×	74 0.6×	49 0.4×	52 0.7×	74 1.2×	18	312
Tianxiang Han	66 0.3×	132 1.1×	58 0.5×	175 2.3×	11 0.2×	9	302
Kanji Komatsu	90 0.5×	72 0.6×	76 0.7×	100 1.3×	54 0.9×	28	317
Moto Kajiwara	33 0.2×	171 1.4×	43 0.4×	132 1.7×	38 0.6×	11	397
Peggy Kostakou	157 0.8×	54 0.4×	167 1.5×	29 0.4×	27 0.4×	33	458

Countries citing papers authored by Karen Schneck

Since Specialization

Citations

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

Fields of papers citing papers by Karen Schneck

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Karen Schneck. 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 Karen Schneck. The network helps show where Karen Schneck may publish in the future.

Co-authorship network of co-authors of Karen Schneck

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

All Works

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16 of 16 papers shown

Chigutsa, Emmanuel, et al.. (2025). A Pharmacometric Method for Quantitative Determination of Improvement in Body Composition and Characterization of the Exposure–Response Relationship during Treatment of Obesity with Tirzepatide. Clinical Pharmacology & Therapeutics. 118(6). 1489–1498.

Posada, Maria M., Karen Schneck, Bridget L. Morse, et al.. (2025). A Combined Modeling Approach to Predict the Effect of Gastric Emptying Delay on the Pharmacokinetics of Small Molecules. CPT Pharmacometrics & Systems Pharmacology. 14(12). 2026–2039.

Martens, Thomas W., Jennal Johnson, Michelle L. Katz, et al.. (2025). Continuous glucose monitoring versus fasting blood glucose basal insulin titration: a retrospective analysis. Diabetes & Metabolic Syndrome Clinical Research & Reviews. 19(6). 103266–103266.

Urva, Shweta, et al.. (2024). Model-based simulation of glycaemic effect and body weight loss when switching from semaglutide or dulaglutide to once weekly tirzepatide. Current Medical Research and Opinion. 40(4). 567–574. 2 indexed citations

Schneck, Karen & Shweta Urva. (2024). Population pharmacokinetics of the GIP/GLP receptor agonist tirzepatide. CPT Pharmacometrics & Systems Pharmacology. 13(3). 494–503. 7 indexed citations

Mullins, Garrett R., Michael E. Hodsdon, Greg Anglin, et al.. (2023). Tirzepatide Immunogenicity on Pharmacokinetics, Efficacy, and Safety: Analysis of Data From Phase 3 Studies. The Journal of Clinical Endocrinology & Metabolism. 109(2). 361–369. 4 indexed citations

Schneck, Karen, et al.. (2018). Toward Better Understanding of Insulin Therapy by Translation of a PK‐PD Model to Visualize Insulin and Glucose Action Profiles. The Journal of Clinical Pharmacology. 59(2). 258–270. 4 indexed citations

Tham, Lai, et al.. (2017). Modeling Pharmacokinetic Profiles of Insulin Regimens to Enhance Understanding of Subcutaneous Insulin Regimens. The Journal of Clinical Pharmacology. 57(9). 1126–1137. 12 indexed citations

Posada, Maria M., James A. Bacon, Karen Schneck, et al.. (2014). Prediction of Renal Transporter Mediated Drug-Drug Interactions for Pemetrexed Using Physiologically Based Pharmacokinetic Modeling. Drug Metabolism and Disposition. 43(3). 325–334. 54 indexed citations

10.

Schneck, Karen, et al.. (2012). Assessment of glycemic response to an oral glucokinase activator in a proof of concept study: application of a semi-mechanistic, integrated glucose-insulin-glucagon model. Journal of Pharmacokinetics and Pharmacodynamics. 40(1). 67–80. 23 indexed citations

11.

Schneck, Karen, et al.. (2012). Dose selection using a semi-mechanistic integrated glucose-insulin-glucagon model: designing phase 2 trials for a novel oral glucokinase activator. Journal of Pharmacokinetics and Pharmacodynamics. 40(1). 53–65. 11 indexed citations

12.

Barrington, Peggy L., Jenny Y. Chien, Fabián Tibaldi, et al.. (2011). LY2189265, a long‐acting glucagon‐like peptide‐1 analogue, showed a dose‐dependent effect on insulin secretion in healthy subjects. Diabetes Obesity and Metabolism. 13(5). 434–438. 62 indexed citations

13.

Barrington, Peggy L., Jenny Y. Chien, H. D. Hollis Showalter, et al.. (2011). A 5‐week study of the pharmacokinetics and pharmacodynamics of LY2189265, a novel, long‐acting glucagon‐like peptide‐1 analogue, in patients with type 2 diabetes. Diabetes Obesity and Metabolism. 13(5). 426–433. 95 indexed citations

14.

Plunkett, William, Susan O’Brien, Francis J. Giles, et al.. (2010). A phase I study of pemetrexed in patients with relapsed or refractory acute leukemia. Investigational New Drugs. 29(2). 323–331. 8 indexed citations

15.

Dickgreber, Nicolas, Jens Benn Sørensen, Tine Schytte, et al.. (2010). Pemetrexed Safety and Pharmacokinetics in Patients with Third-Space Fluid. Clinical Cancer Research. 16(10). 2872–2880. 18 indexed citations

16.

Takimoto, Chris H., Jane E. Latz, Leonardo Forero, et al.. (2007). Phase I and Pharmacokinetic Study of Pemetrexed with High-Dose Folic Acid Supplementation or Multivitamin Supplementation in Patients with Locally Advanced or Metastatic Cancer. Clinical Cancer Research. 13(9). 2675–2683. 44 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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