Blythe D. Shepard

1.0k total citations
33 papers, 731 citations indexed

About

Blythe D. Shepard is a scholar working on Surgery, Molecular Biology and Endocrinology, Diabetes and Metabolism. According to data from OpenAlex, Blythe D. Shepard has authored 33 papers receiving a total of 731 indexed citations (citations by other indexed papers that have themselves been cited), including 13 papers in Surgery, 12 papers in Molecular Biology and 11 papers in Endocrinology, Diabetes and Metabolism. Recurrent topics in Blythe D. Shepard's work include Pancreatic function and diabetes (13 papers), Diabetes Treatment and Management (9 papers) and Biochemical Analysis and Sensing Techniques (8 papers). Blythe D. Shepard is often cited by papers focused on Pancreatic function and diabetes (13 papers), Diabetes Treatment and Management (9 papers) and Biochemical Analysis and Sensing Techniques (8 papers). Blythe D. Shepard collaborates with scholars based in United States, Austria and Italy. Blythe D. Shepard's co-authors include Jennifer L. Pluznick, Pamela L. Tuma, Dean J. Tuma, Thomas N. Seyfried, Hermann Koepsell, Niranjana Natarajan, Ryan J. Protzko, George T. Kannarkat, Ryan Kurtz and Alain Doucet and has published in prestigious journals such as PLoS ONE, Hepatology and Scientific Reports.

In The Last Decade

Blythe D. Shepard

32 papers receiving 725 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Blythe D. Shepard United States 15 218 143 142 129 119 33 731
Kwangseok Hong United States 15 290 1.3× 131 0.9× 58 0.4× 52 0.4× 136 1.1× 36 796
Sílvia Lacchini Brazil 19 204 0.9× 44 0.3× 112 0.8× 66 0.5× 135 1.1× 40 975
Nóra Erdei Hungary 11 149 0.7× 90 0.6× 51 0.4× 57 0.4× 71 0.6× 15 745
Enikő T. Pásztor Hungary 11 157 0.7× 170 1.2× 67 0.5× 31 0.2× 44 0.4× 16 658
Kuniaki Iwasawa Japan 17 360 1.7× 72 0.5× 99 0.7× 26 0.2× 39 0.3× 37 696
Jun‐Qiang Si China 19 464 2.1× 62 0.4× 43 0.3× 52 0.4× 38 0.3× 85 967
Takuji Machida Japan 17 280 1.3× 20 0.1× 100 0.7× 61 0.5× 38 0.3× 49 760
Michael Obst Germany 14 363 1.7× 322 2.3× 146 1.0× 26 0.2× 105 0.9× 16 936
Karen Sooy United Kingdom 13 192 0.9× 19 0.1× 91 0.6× 38 0.3× 189 1.6× 19 608
Jinning Song China 16 315 1.4× 42 0.3× 28 0.2× 100 0.8× 19 0.2× 43 802

Countries citing papers authored by Blythe D. Shepard

Since Specialization
Citations

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

Fields of papers citing papers by Blythe D. Shepard

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Blythe D. Shepard. 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 Blythe D. Shepard. The network helps show where Blythe D. Shepard may publish in the future.

Co-authorship network of co-authors of Blythe D. Shepard

This figure shows the co-authorship network connecting the top 25 collaborators of Blythe D. Shepard. A scholar is included among the top collaborators of Blythe D. Shepard 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 Blythe D. Shepard. Blythe D. Shepard 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.
Lee, Yi‐Chien, Blythe D. Shepard, Carolyn Ecelbarger, et al.. (2025). Multimodal Diagnostic Imaging of Metabolic Dysfunction–Associated Steatotic Liver Disease. American Journal Of Pathology. 195(5). 875–890. 1 indexed citations
2.
Xu, Jiaojiao, Blythe D. Shepard, & Jennifer L. Pluznick. (2025). Roles of sensory receptors in non-sensory organs: the kidney and beyond. Nature Reviews Nephrology. 21(4). 253–263. 2 indexed citations
3.
Kurtz, Ryan, et al.. (2024). Signaling of GPR17 in Hepatic and Renal Tissues. Physiology. 39(S1). 1 indexed citations
4.
Shepard, Blythe D., Ryan Kurtz, Avi Z. Rosenberg, et al.. (2024). Nascent shifts in renal cellular metabolism, structure, and function due to chronic empagliflozin in prediabetic mice. American Journal of Physiology-Cell Physiology. 326(4). C1272–C1290. 2 indexed citations
5.
Ecelbarger, Carolyn, et al.. (2024). SGLT2 inhibition leads to a restoration of hepatic and circulating metabolites involved in the folate cycle and pyrimidine biosynthesis. American Journal of Physiology-Gastrointestinal and Liver Physiology. 327(2). G235–G253. 3 indexed citations
6.
Nangia, Sushma, et al.. (2024). Handling the sugar rush: the role of the renal proximal tubule. American Journal of Physiology-Renal Physiology. 327(6). F1013–F1025. 1 indexed citations
7.
Shepard, Blythe D., et al.. (2022). Renal Metabolome in Obese Mice Treated with Empagliflozin Suggests a Reduction in Cellular Respiration. Biomolecules. 12(9). 1176–1176. 7 indexed citations
8.
Kurtz, Ryan, Andrew E. Libby, Bryce A. Jones, et al.. (2022). Empagliflozin Treatment Attenuates Hepatic Steatosis by Promoting White Adipose Expansion in Obese TallyHo Mice. International Journal of Molecular Sciences. 23(10). 5675–5675. 10 indexed citations
9.
Shepard, Blythe D. & Carolyn Ecelbarger. (2021). Sodium Glucose Transporter, Type 2 (SGLT2) Inhibitors (SGLT2i) and Glucagon-Like Peptide 1-Receptor Agonists: Newer Therapies in Whole-Body Glucose Stabilization. Seminars in Nephrology. 41(4). 331–348. 5 indexed citations
10.
Shepard, Blythe D., et al.. (2020). Acid Loading Unmasks Glucose Homeostatic Instability in Proximal-Tubule-Targeted Insulin/Insulin-Like-Growth-Factor-1 Receptor Dual Knockout Mice. Cellular Physiology and Biochemistry. 54(4). 682–695. 9 indexed citations
11.
Kurtz, Ryan, et al.. (2020). The Sensing Liver: Localization and Ligands for Hepatic Murine Olfactory and Taste Receptors. Frontiers in Physiology. 11. 574082–574082. 16 indexed citations
12.
Shepard, Blythe D., et al.. (2018). Renal tubule insulin receptor modestly promotes elevated blood pressure and markedly stimulates glucose reabsorption. JCI Insight. 3(16). 22 indexed citations
13.
Shepard, Blythe D., Lydie Cheval, Zita Peterlin, et al.. (2016). A Renal Olfactory Receptor Aids in Kidney Glucose Handling. Scientific Reports. 6(1). 35215–35215. 52 indexed citations
14.
Shepard, Blythe D. & Jennifer L. Pluznick. (2015). How does your kidney smell? Emerging roles for olfactory receptors in renal function. Pediatric Nephrology. 31(5). 715–723. 27 indexed citations
15.
Shepard, Blythe D., et al.. (2013). A Cleavable N-Terminal Signal Peptide Promotes Widespread Olfactory Receptor Surface Expression in HEK293T Cells. PLoS ONE. 8(7). e68758–e68758. 66 indexed citations
16.
Shepard, Blythe D., et al.. (2009). Alcohol consumption impairs hepatic protein trafficking: mechanisms and consequences. Genes & Nutrition. 5(2). 129–140. 21 indexed citations
17.
Shepard, Blythe D., Dean J. Tuma, & Pamela L. Tuma. (2009). Chronic Ethanol Consumption Induces Global Hepatic Protein Hyperacetylation. Alcoholism Clinical and Experimental Research. 34(2). 280–291. 55 indexed citations
18.
Shepard, Blythe D.. (2009). Alcohol-induced protein hyperacetylation: Mechanisms and consequences. World Journal of Gastroenterology. 15(10). 1219–1219. 61 indexed citations
19.
Shepard, Blythe D., et al.. (2007). Microtubule acetylation and stability may explain alcohol-induced alterations in hepatic protein trafficking. Hepatology. 47(5). 1745–1753. 35 indexed citations
20.
Shepard, Blythe D., et al.. (2004). Oxygenation Prevents Sudden Death in Seizure‐prone Mice. Epilepsia. 45(8). 993–996. 82 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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