Michelle Puchowicz

1.5k total citations
17 papers, 1.1k citations indexed

About

Michelle Puchowicz is a scholar working on Molecular Biology, Physiology and Biochemistry. According to data from OpenAlex, Michelle Puchowicz has authored 17 papers receiving a total of 1.1k indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Molecular Biology, 7 papers in Physiology and 4 papers in Biochemistry. Recurrent topics in Michelle Puchowicz's work include Adipose Tissue and Metabolism (7 papers), Cancer, Hypoxia, and Metabolism (3 papers) and Lipid metabolism and biosynthesis (3 papers). Michelle Puchowicz is often cited by papers focused on Adipose Tissue and Metabolism (7 papers), Cancer, Hypoxia, and Metabolism (3 papers) and Lipid metabolism and biosynthesis (3 papers). Michelle Puchowicz collaborates with scholars based in United States, Austria and Australia. Michelle Puchowicz's co-authors include Scott M. Welford, Charles L. Hoppel, János Kerner, Weinan Du, Brittany Aguila, Brian I. Rini, Laura Herrero, Steven C. Campbell, Dolors Serra and Adina Brett-Morris and has published in prestigious journals such as Nature Communications, PLoS ONE and American Journal of Clinical Nutrition.

In The Last Decade

Michelle Puchowicz

17 papers receiving 1.1k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Michelle Puchowicz United States 13 454 358 306 189 132 17 1.1k
Dean J. Kleinhenz United States 14 458 1.0× 68 0.2× 376 1.2× 272 1.4× 90 0.7× 15 1.0k
Toshio Ohtsubo Japan 19 970 2.1× 210 0.6× 254 0.8× 60 0.3× 31 0.2× 43 1.7k
Deepesh Pandey United States 20 462 1.0× 85 0.2× 428 1.4× 66 0.3× 89 0.7× 31 1.2k
Ali Mahdi Sweden 17 222 0.5× 85 0.2× 365 1.2× 113 0.6× 33 0.3× 47 854
Pimonrat Ketsawatsomkron United States 19 404 0.9× 66 0.2× 209 0.7× 67 0.4× 48 0.4× 28 827
Nancy J. Hong United States 24 682 1.5× 62 0.2× 705 2.3× 147 0.8× 94 0.7× 42 1.5k
Naomi Hosogai Japan 8 344 0.8× 150 0.4× 690 2.3× 62 0.3× 96 0.7× 11 1.2k
Mingjun Gu China 17 607 1.3× 278 0.8× 152 0.5× 73 0.4× 20 0.2× 40 1.1k
Yinli Xu China 15 488 1.1× 109 0.3× 200 0.7× 57 0.3× 109 0.8× 34 953
Chunlin Gao China 18 485 1.1× 175 0.5× 322 1.1× 141 0.7× 24 0.2× 71 1.1k

Countries citing papers authored by Michelle Puchowicz

Since Specialization
Citations

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

Fields of papers citing papers by Michelle Puchowicz

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Michelle Puchowicz

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

All Works

17 of 17 papers shown
1.
O’Hare, James, et al.. (2023). Brain insulin signaling suppresses lipolysis in the absence of peripheral insulin receptors and requires the MAPK pathway. Molecular Metabolism. 73. 101723–101723. 4 indexed citations
2.
3.
Tan, Sze Kiat, Iqbal Mahmud, Flavia Fontanesi, et al.. (2021). Obesity-Dependent Adipokine Chemerin Suppresses Fatty Acid Oxidation to Confer Ferroptosis Resistance. Cancer Discovery. 11(8). 2072–2093. 78 indexed citations
4.
Willis, Kent A., Charles Gomes, Dejan Micić, et al.. (2020). TGR5 signaling mitigates parenteral nutrition-associated liver disease. American Journal of Physiology-Gastrointestinal and Liver Physiology. 318(2). G322–G335. 12 indexed citations
5.
Zhao, Yiqing, Xuan Zhao, Ying Feng, et al.. (2019). Colorectal cancers utilize glutamine as an anaplerotic substrate of the TCA cycle in vivo. Scientific Reports. 9(1). 19180–19180. 41 indexed citations
6.
McDonald, Tanya S., Mark P. Hodson, Ilya Bederman, Michelle Puchowicz, & Karin Borges. (2019). Triheptanoin alters [U-13C6]-glucose incorporation into glycolytic intermediates and increases TCA cycling by normalizing the activities of pyruvate dehydrogenase and oxoglutarate dehydrogenase in a chronic epilepsy mouse model. Journal of Cerebral Blood Flow & Metabolism. 40(3). 678–691. 20 indexed citations
7.
Rutkowsky, Jennifer M., Michelle Puchowicz, Mari S. Golub, et al.. (2018). Reduced cognitive function, increased blood-brain-barrier transport and inflammatory responses, and altered brain metabolites in LDLr -/-and C57BL/6 mice fed a western diet. PLoS ONE. 13(2). e0191909–e0191909. 48 indexed citations
8.
Calabuig-Navarro, Virtu, et al.. (2018). Maternal obesity is not associated with placental lipid accumulation in women with high omega-3 fatty acid levels. Placenta. 69. 96–101. 14 indexed citations
9.
Bederman, Ilya, Michelle Puchowicz, Aura Perez, et al.. (2018). Absence of leptin signaling allows fat accretion in cystic fibrosis mice. American Journal of Physiology-Gastrointestinal and Liver Physiology. 315(5). G685–G698. 9 indexed citations
10.
Du, Weinan, Adina Brett-Morris, Brittany Aguila, et al.. (2017). HIF drives lipid deposition and cancer in ccRCC via repression of fatty acid metabolism. Nature Communications. 8(1). 1769–1769. 355 indexed citations
11.
Calabuig-Navarro, Virtu, Michelle Puchowicz, Patricia A. Glazebrook, et al.. (2016). Effect of ω-3 supplementation on placental lipid metabolism in overweight and obese women. American Journal of Clinical Nutrition. 103(4). 1064–1072. 51 indexed citations
12.
Tan, Kah Ni, Catalina Carrasco‐Pozo, Tanya S. McDonald, Michelle Puchowicz, & Karin Borges. (2016). Tridecanoin is anticonvulsant, antioxidant, and improves mitochondrial function. Journal of Cerebral Blood Flow & Metabolism. 37(6). 2035–2048. 48 indexed citations
13.
Li, Lei, Li Che, Chunmei Wang, et al.. (2015). [11C]acetate PET Imaging is not Always Associated with Increased Lipogenesis in Hepatocellular Carcinoma in Mice. Molecular Imaging and Biology. 18(3). 360–367. 9 indexed citations
14.
Lindtner, Claudia, Thomas Scherer, Elizabeth Zieliński, et al.. (2013). Binge Drinking Induces Whole-Body Insulin Resistance by Impairing Hypothalamic Insulin Action. Science Translational Medicine. 5(170). 89 indexed citations
15.
Scherer, Thomas, James O’Hare, Kelly A. Diggs‐Andrews, et al.. (2011). Brain Insulin Controls Adipose Tissue Lipolysis and Lipogenesis. Cell Metabolism. 13(2). 183–194. 200 indexed citations
16.
Huang, Charles Y., Ilya Bederman, Jianqi Yang, et al.. (2011). Function of phosphoenolpyruvate carboxykinase in mammary gland epithelial cells. Journal of Lipid Research. 52(7). 1352–1362. 14 indexed citations
17.
Millward, Carrie A., David DeSantis, Jason D. Heaney, et al.. (2010). Phosphoenolpyruvate carboxykinase (Pck1) helps regulate the triglyceride/fatty acid cycle and development of insulin resistance in mice. Journal of Lipid Research. 51(6). 1452–1463. 79 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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