Merrie Mosedale

3.2k total citations · 1 hit paper
30 papers, 2.5k citations indexed

About

Merrie Mosedale is a scholar working on Pharmacology, Oncology and Hepatology. According to data from OpenAlex, Merrie Mosedale has authored 30 papers receiving a total of 2.5k indexed citations (citations by other indexed papers that have themselves been cited), including 15 papers in Pharmacology, 7 papers in Oncology and 7 papers in Hepatology. Recurrent topics in Merrie Mosedale's work include Drug-Induced Hepatotoxicity and Protection (13 papers), Drug Transport and Resistance Mechanisms (6 papers) and Pharmacogenetics and Drug Metabolism (6 papers). Merrie Mosedale is often cited by papers focused on Drug-Induced Hepatotoxicity and Protection (13 papers), Drug Transport and Resistance Mechanisms (6 papers) and Pharmacogenetics and Drug Metabolism (6 papers). Merrie Mosedale collaborates with scholars based in United States, United Kingdom and Saudi Arabia. Merrie Mosedale's co-authors include Deborah M. Muoio, Timothy R. Koves, James R. Bain, John R. Ussher, Olga Ilkayeva, Robert C. Noland, Christopher B. Newgard, Dorothy H. Slentz, Gary D. Lopaschuk and Robert D. Stevens and has published in prestigious journals such as Journal of Biological Chemistry, PLoS ONE and Cell Metabolism.

In The Last Decade

Merrie Mosedale

29 papers receiving 2.5k citations

Hit Papers

Mitochondrial Overload and Incomplete Fatty Acid Oxidatio... 2008 2026 2014 2020 2008 500 1000 1.5k

Peers

Merrie Mosedale
Ming‐Zhi Zhang United States
Ahmed Bettaieb United States
Yeonsoo Joe South Korea
Kerry A. Pierce United States
Takhar Kasumov United States
Merrie Mosedale
Citations per year, relative to Merrie Mosedale Merrie Mosedale (= 1×) peers Julie Massart

Countries citing papers authored by Merrie Mosedale

Since Specialization
Citations

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

Fields of papers citing papers by Merrie Mosedale

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Merrie Mosedale

This figure shows the co-authorship network connecting the top 25 collaborators of Merrie Mosedale. A scholar is included among the top collaborators of Merrie Mosedale 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 Merrie Mosedale. Merrie Mosedale 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.
Meng, Xiaoli, Jane Barber, Merrie Mosedale, et al.. (2024). Tolvaptan safety in autosomal-dominant polycystic kidney disease; a focus on idiosyncratic drug-induced liver injury liabilities. Toxicological Sciences. 203(1). 11–27.
2.
Meng, Xiaoli, et al.. (2022). Activation of tolvaptan-responsive T-cell clones with the structurally-related mozavaptan. Toxicology Letters. 373. 148–151. 2 indexed citations
3.
Mosedale, Merrie, J. Scott Eaddy, Patrick Kirby, et al.. (2021). Human-relevant mechanisms and risk factors for TAK-875-Induced liver injury identified via a gene pathway-based approach in Collaborative Cross mice. Toxicology. 461. 152902–152902. 10 indexed citations
4.
Nautiyal, Manisha, Caroline Bauch, Paul Walker, Paul B. Watkins, & Merrie Mosedale. (2020). Fit-For-Purpose Hepatocyte Models Enable the Identification of Early Events Contributing to Idelalisib-Induced Liver Injury. 6(4). 110–119. 1 indexed citations
5.
Nautiyal, Manisha, John K. Fallon, Kristina Wolf, et al.. (2020). Characterization of primary mouse hepatocyte spheroids as a model system to support investigations of drug-induced liver injury. Toxicology in Vitro. 70. 105010–105010. 9 indexed citations
7.
Khatri, Raju, John K. Fallon, Craig Sykes, et al.. (2020). Pregnancy-Related Hormones Increase Nifedipine Metabolism in Human Hepatocytes by Inducing CYP3A4 Expression. Journal of Pharmaceutical Sciences. 110(1). 412–421. 19 indexed citations
8.
Nguyen, Deborah G., et al.. (2019). Bioprinted liver provides early insight into the role of Kupffer cells in TGF-β1 and methotrexate-induced fibrogenesis. PLoS ONE. 14(1). e0208958–e0208958. 65 indexed citations
9.
Mosedale, Merrie. (2018). Mouse Population-Based Approaches to Investigate Adverse Drug Reactions. Drug Metabolism and Disposition. 46(11). 1787–1795. 12 indexed citations
10.
Mosedale, Merrie, J. Scott Eaddy, O. Joseph Trask, et al.. (2017). miR-122 Release in Exosomes Precedes Overt Tolvaptan-Induced Necrosis in a Primary Human Hepatocyte Micropatterned Coculture Model. Toxicological Sciences. 161(1). 149–158. 40 indexed citations
11.
Mosedale, Merrie, Donald Button, Jonathan P. Jackson, et al.. (2017). Transient Changes in Hepatic Physiology That Alter Bilirubin and Bile Acid Transport May Explain Elevations in Liver Chemistries Observed in Clinical Trials of GGF2 (Cimaglermin Alfa). Toxicological Sciences. 161(2). 401–411. 14 indexed citations
12.
Woodhead, Jeffrey L., William J. Brock, Sharin E. Roth, et al.. (2016). Application of a Mechanistic Model to Evaluate Putative Mechanisms of Tolvaptan Drug-Induced Liver Injury and Identify Patient Susceptibility Factors. Toxicological Sciences. 155(1). 61–74. 71 indexed citations
13.
Mosedale, Merrie, Yunjung Kim, William J. Brock, et al.. (2016). Candidate Risk Factors and Mechanisms for Tolvaptan-Induced Liver Injury Are Identified Using a Collaborative Cross Approach. Toxicological Sciences. 156(2). kfw269–kfw269. 38 indexed citations
14.
Mosedale, Merrie, et al.. (2016). Subtoxic Alterations in Hepatocyte-Derived Exosomes: An Early Step in Drug-Induced Liver Injury?. Toxicological Sciences. 151(2). 365–375. 57 indexed citations
15.
Church, Rachel J., Hong Wu, Merrie Mosedale, et al.. (2014). A Systems Biology Approach Utilizing a Mouse Diversity Panel Identifies Genetic Differences Influencing Isoniazid-Induced Microvesicular Steatosis. Toxicological Sciences. 140(2). 481–492. 42 indexed citations
16.
Church, Rachel J., Daniel M. Gatti, Thomas Urban, et al.. (2014). Sensitivity to hepatotoxicity due to epigallocatechin gallate is affected by genetic background in diversity outbred mice. Food and Chemical Toxicology. 76. 19–26. 69 indexed citations
17.
Mosedale, Merrie, et al.. (2014). Dysregulation of protein degradation pathways may mediate the liver injury and phospholipidosis associated with a cationic amphiphilic antibiotic drug. Toxicology and Applied Pharmacology. 280(1). 21–29. 11 indexed citations
18.
Koves, Timothy R., Lauren M. Sparks, Jean‐Paul Kovalik, et al.. (2012). PPARγ coactivator-1α contributes to exercise-induced regulation of intramuscular lipid droplet programming in mice and humans. Journal of Lipid Research. 54(2). 522–534. 82 indexed citations
19.
Mosedale, Merrie, et al.. (2012). Neurexin-1α Contributes to Insulin-containing Secretory Granule Docking. Journal of Biological Chemistry. 287(9). 6350–6361. 28 indexed citations
20.
Koves, Timothy R., John R. Ussher, Robert C. Noland, et al.. (2008). Mitochondrial Overload and Incomplete Fatty Acid Oxidation Contribute to Skeletal Muscle Insulin Resistance. Cell Metabolism. 7(1). 45–56. 1551 indexed citations breakdown →

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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