Michaela C. Stanton

727 total citations
7 papers, 471 citations indexed

About

Michaela C. Stanton is a scholar working on Urology, Endocrinology, Diabetes and Metabolism and Physiology. According to data from OpenAlex, Michaela C. Stanton has authored 7 papers receiving a total of 471 indexed citations (citations by other indexed papers that have themselves been cited), including 4 papers in Urology, 4 papers in Endocrinology, Diabetes and Metabolism and 3 papers in Physiology. Recurrent topics in Michaela C. Stanton's work include Urinary Bladder and Prostate Research (4 papers), Hormonal and reproductive studies (3 papers) and Adipokines, Inflammation, and Metabolic Diseases (1 paper). Michaela C. Stanton is often cited by papers focused on Urinary Bladder and Prostate Research (4 papers), Hormonal and reproductive studies (3 papers) and Adipokines, Inflammation, and Metabolic Diseases (1 paper). Michaela C. Stanton collaborates with scholars based in United States and Japan. Michaela C. Stanton's co-authors include Alberto Rojas-Triana, Loretta A. Bober, Chung‐Her Jenh, Mary Ann Cox, Suke Wang, Galya Vassileva, Xiaoxin Yang, Maureen Laverty, Jianjun Liu and Feng Zhu and has published in prestigious journals such as The Journal of Urology, World Journal of Gastroenterology and American Journal of Physiology-Renal Physiology.

In The Last Decade

Michaela C. Stanton

7 papers receiving 464 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Michaela C. Stanton United States 6 260 146 111 61 60 7 471
Mitsuyuki Shirai Japan 15 154 0.6× 147 1.0× 77 0.7× 37 0.6× 51 0.8× 59 594
Jiyeon Kim South Korea 8 326 1.3× 149 1.0× 50 0.5× 59 1.0× 55 0.9× 18 437
Huiqiao Zhou China 10 188 0.7× 280 1.9× 119 1.1× 24 0.4× 42 0.7× 18 573
Kazushi Yamamoto Japan 16 274 1.1× 257 1.8× 55 0.5× 32 0.5× 45 0.8× 46 663
Constanze C. Maresch Germany 7 98 0.4× 46 0.3× 59 0.5× 56 0.9× 100 1.7× 8 483
Yi‐Chih Chang Taiwan 11 331 1.3× 90 0.6× 58 0.5× 96 1.6× 14 0.2× 21 642
Adrian Cătinean Romania 11 214 0.8× 69 0.5× 46 0.4× 51 0.8× 25 0.4× 24 459
Janneke Ruinemans‐Koerts Netherlands 15 158 0.6× 121 0.8× 20 0.2× 84 1.4× 245 4.1× 30 876
T Kinouchi Japan 10 166 0.6× 36 0.2× 47 0.4× 73 1.2× 104 1.7× 22 548
Heetae Lee South Korea 8 324 1.2× 151 1.0× 51 0.5× 58 1.0× 46 0.8× 15 431

Countries citing papers authored by Michaela C. Stanton

Since Specialization
Citations

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

Fields of papers citing papers by Michaela C. Stanton

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Michaela C. Stanton. 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 Michaela C. Stanton. The network helps show where Michaela C. Stanton may publish in the future.

Co-authorship network of co-authors of Michaela C. Stanton

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

All Works

7 of 7 papers shown
1.
Stanton, Michaela C., Shu‐Cheng Chen, James V. Jackson, et al.. (2011). Inflammatory Signals shift from adipose to liver during high fat feeding and influence the development of steatohepatitis in mice. Journal of Inflammation. 8(1). 8–8. 113 indexed citations
2.
Engstrom, Laura, Loretta A. Bober, Shu‐Cheng Chen, et al.. (2010). Kinetic Assessment and Therapeutic Modulation of Metabolic and Inflammatory Profiles in Mice on a High-Fat and Cholesterol Diet. PPAR Research. 2010. 1–13. 4 indexed citations
3.
Cox, Mary Ann, Michaela C. Stanton, Alberto Rojas-Triana, et al.. (2009). Short-chain fatty acids act as antiinflammatory mediatorsby regulating prostaglandin E2 and cytokines. World Journal of Gastroenterology. 15(44). 5549–5549. 291 indexed citations
4.
Stanton, Michaela C., J. Christopher Austin, James O. Marx, et al.. (2006). Partial Bladder Outlet Obstruction Selectively Abolishes Protein Kinase C Induced Contraction of Rabbit Detrusor Smooth Muscle. The Journal of Urology. 176(6). 2716–2721. 9 indexed citations
5.
Stanton, Michaela C., et al.. (2004). Partial bladder outlet obstruction abolishes the receptor- and G protein-dependent increase in calcium sensitivity in rabbit bladder smooth muscle. American Journal of Physiology-Renal Physiology. 287(4). F682–F689. 12 indexed citations
6.
Stanton, Michaela C., et al.. (2003). Partial bladder outlet obstruction alters Ca2+sensitivity of force, but not of MLC phosphorylation, in bladder smooth muscle. American Journal of Physiology-Renal Physiology. 285(4). F703–F710. 11 indexed citations
7.
Su, Xiaoling, et al.. (2003). Effect of partial outlet obstruction on rabbit urinary bladder smooth muscle function. American Journal of Physiology-Renal Physiology. 284(4). F644–F652. 31 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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