David S. Umbaugh

856 total citations
34 papers, 564 citations indexed

About

David S. Umbaugh is a scholar working on Pharmacology, Hepatology and Molecular Biology. According to data from OpenAlex, David S. Umbaugh has authored 34 papers receiving a total of 564 indexed citations (citations by other indexed papers that have themselves been cited), including 16 papers in Pharmacology, 11 papers in Hepatology and 10 papers in Molecular Biology. Recurrent topics in David S. Umbaugh's work include Drug-Induced Hepatotoxicity and Protection (15 papers), Liver Disease Diagnosis and Treatment (9 papers) and Liver physiology and pathology (8 papers). David S. Umbaugh is often cited by papers focused on Drug-Induced Hepatotoxicity and Protection (15 papers), Liver Disease Diagnosis and Treatment (9 papers) and Liver physiology and pathology (8 papers). David S. Umbaugh collaborates with scholars based in United States and United Kingdom. David S. Umbaugh's co-authors include Hartmut Jaeschke, Anup Ramachandran, Jephte Y. Akakpo, Nga Nguyen, Wen‐Xing Ding, Kuo Du, K. Witt, Karin E. Sandoval, A. Michael Crider and Joshua S. Wooten and has published in prestigious journals such as Nature Communications, SHILAP Revista de lepidopterología and Nature Cell Biology.

In The Last Decade

David S. Umbaugh

30 papers receiving 558 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
David S. Umbaugh United States 12 327 204 146 144 81 34 564
Midhun C. Korrapati United States 13 144 0.4× 88 0.4× 78 0.5× 152 1.1× 40 0.5× 14 445
Gregory M. Adamson United States 10 155 0.5× 105 0.5× 85 0.6× 110 0.8× 56 0.7× 16 434
Catherine Ribault France 14 86 0.3× 99 0.5× 94 0.6× 262 1.8× 48 0.6× 21 565
Simon Bucher France 13 98 0.3× 59 0.3× 144 1.0× 138 1.0× 63 0.8× 19 407
Catherine Viollon‐Abadie France 12 225 0.7× 207 1.0× 55 0.4× 214 1.5× 151 1.9× 14 688
Tingying Jiao China 11 75 0.2× 59 0.3× 131 0.9× 230 1.6× 110 1.4× 15 467
Frederic Moulin United States 8 133 0.4× 61 0.3× 39 0.3× 94 0.7× 37 0.5× 13 362
Xiulong Song United States 18 218 0.7× 56 0.3× 131 0.9× 259 1.8× 407 5.0× 25 865
Susana Núñez Spain 9 65 0.2× 60 0.3× 209 1.4× 188 1.3× 43 0.5× 17 481

Countries citing papers authored by David S. Umbaugh

Since Specialization
Citations

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

Fields of papers citing papers by David S. Umbaugh

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by David S. Umbaugh. 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 David S. Umbaugh. The network helps show where David S. Umbaugh may publish in the future.

Co-authorship network of co-authors of David S. Umbaugh

This figure shows the co-authorship network connecting the top 25 collaborators of David S. Umbaugh. A scholar is included among the top collaborators of David S. Umbaugh 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 David S. Umbaugh. David S. Umbaugh 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.
Du, Kuo, David S. Umbaugh, Nanqi Ren, & Anna Mae Diehl. (2025). Cellular senescence in liver diseases: From molecular drivers to therapeutic targeting. Journal of Hepatology. 84(1). 194–212. 1 indexed citations
2.
Umbaugh, David S., Anna Mae Diehl, & Kuo Du. (2025). Redefining senescence through hepatocyte fate changes in liver diseases. Trends in Endocrinology and Metabolism. 2 indexed citations
3.
Deng, Yu, Jianfeng Chen, David S. Umbaugh, et al.. (2025). cGAS Inhibits ALDH2 to Suppress Lipid Droplet Function and Regulate MASLD Progression. Advanced Science. 12(46). e08576–e08576.
4.
Du, Kuo, David S. Umbaugh, Liuyang Wang, et al.. (2025). Targeting senescent hepatocytes for treatment of metabolic dysfunction-associated steatotic liver disease and multi-organ dysfunction. Nature Communications. 16(1). 3038–3038. 11 indexed citations
5.
6.
Du, Kuo, David S. Umbaugh, Rajesh Kumar Dutta, & Anna Mae Diehl. (2024). A systemic effect for liver senescence. Nature Cell Biology. 26(12). 2016–2017. 2 indexed citations
7.
Umbaugh, David S., et al.. (2023). Hepatocyte Senescence is Initiated through a Klf6-p21 Mechanism which mediates the Production of Cxcl14, a Novel Prognostic Biomarker of Acute Liver Failure. Journal of Pharmacology and Experimental Therapeutics. 385. 226–226. 2 indexed citations
8.
Umbaugh, David S., Steven C. Curry, Jody A. Rule, et al.. (2023). The chemokine CXCL14 is a novel early prognostic biomarker for poor outcome in acetaminophen-induced acute liver failure. Hepatology. 79(6). 1352–1364. 9 indexed citations
9.
Nguyen, Nga, et al.. (2023). Dose-dependent pleiotropic role of neutrophils during acetaminophen-induced liver injury in male and female mice. Archives of Toxicology. 97(5). 1397–1412. 25 indexed citations
10.
Nguyen, Nga, et al.. (2022). Recovered Hepatocytes Promote Macrophage Apoptosis Through CXCR4 After Acetaminophen-Induced Liver Injury in Mice. Toxicological Sciences. 188(2). 248–260. 8 indexed citations
11.
Umbaugh, David S., Rupal P. Soder, Nga Nguyen, et al.. (2022). Human Wharton's Jelly-derived mesenchymal stem cells prevent acetaminophen-induced liver injury in a mouse model unlike human dermal fibroblasts. Archives of Toxicology. 96(12). 3315–3329. 8 indexed citations
12.
Umbaugh, David S., et al.. (2022). Neuronal Inflammation is Associated with Changes in Epidermal Innervation in High Fat Fed Mice. Frontiers in Physiology. 13. 891550–891550. 5 indexed citations
13.
Wooten, Joshua S., et al.. (2022). The effects of voluntary wheel running during weight-loss on biomarkers of hepatic lipid metabolism and inflammation in C57Bl/6J mice. SHILAP Revista de lepidopterología. 5. 63–72. 4 indexed citations
14.
McGreal, Steven R., David S. Umbaugh, Norman Lee, et al.. (2022). Regulation of Liver Regeneration by Hepatocyte O-GlcNAcylation in Mice. Cellular and Molecular Gastroenterology and Hepatology. 13(5). 1510–1529. 20 indexed citations
15.
Jaeschke, Hartmut, Jephte Y. Akakpo, Nga Nguyen, et al.. (2021). Recommendations for the use of the acetaminophen hepatotoxicity model for mechanistic studies and how to avoid common pitfalls. Acta Pharmaceutica Sinica B. 11(12). 3740–3755. 94 indexed citations
16.
Nguyen, Nga, et al.. (2021). Kupffer cells regulate liver recovery through induction of chemokine receptor CXCR2 on hepatocytes after acetaminophen overdose in mice. Archives of Toxicology. 96(1). 305–320. 35 indexed citations
17.
Jaeschke, Hartmut, Jephte Y. Akakpo, David S. Umbaugh, & Anup Ramachandran. (2020). Novel Therapeutic Approaches Against Acetaminophen-induced Liver Injury and Acute Liver Failure. Toxicological Sciences. 174(2). 159–167. 127 indexed citations
18.
Umbaugh, David S. & Hartmut Jaeschke. (2020). Extracellular vesicles: Roles and applications in drug-induced liver injury. Advances in clinical chemistry. 102. 63–125. 11 indexed citations
19.
20.
Sandoval, Karin E., et al.. (2018). Mfsd2a and Glut1 Brain Nutrient Transporters Expression Increase with 32-Week Low and High Lard Compared with Fish-Oil Dietary Treatment in C57Bl/6 Mice. Current Developments in Nutrition. 2(10). nzy065–nzy065. 8 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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