Michelle Choi

2.0k total citations · 1 hit paper
8 papers, 1.6k citations indexed

About

Michelle Choi is a scholar working on Endocrine and Autonomic Systems, Nutrition and Dietetics and Molecular Biology. According to data from OpenAlex, Michelle Choi has authored 8 papers receiving a total of 1.6k indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Endocrine and Autonomic Systems, 4 papers in Nutrition and Dietetics and 3 papers in Molecular Biology. Recurrent topics in Michelle Choi's work include Regulation of Appetite and Obesity (6 papers), Biochemical Analysis and Sensing Techniques (4 papers) and Adipokines, Inflammation, and Metabolic Diseases (2 papers). Michelle Choi is often cited by papers focused on Regulation of Appetite and Obesity (6 papers), Biochemical Analysis and Sensing Techniques (4 papers) and Adipokines, Inflammation, and Metabolic Diseases (2 papers). Michelle Choi collaborates with scholars based in United States, United Kingdom and Germany. Michelle Choi's co-authors include Joel K. Elmquist, Charlotte E. Lee, Bradford B. Lowell, Michael M. Scott, Kevin W. Williams, Danielle Lauzon, Eric D. Berglund, David P. Olson, Jeffrey M. Zigman and Carol F. Elias and has published in prestigious journals such as Neuron, Journal of Neuroscience and Blood.

In The Last Decade

Michelle Choi

8 papers receiving 1.6k citations

Hit Papers

Melanocortin-4 Receptors Expressed by Cholinergic Neurons... 2011 2026 2016 2021 2011 100 200 300 400

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Michelle Choi United States 8 1.0k 563 481 296 255 8 1.6k
Danielle Lauzon United States 8 864 0.9× 482 0.9× 429 0.9× 225 0.8× 204 0.8× 8 1.3k
Justin C. Jones United States 16 1.2k 1.2× 630 1.1× 600 1.2× 172 0.6× 161 0.6× 18 1.5k
Katherine E. Wortley United States 14 1.2k 1.2× 796 1.4× 798 1.7× 285 1.0× 170 0.7× 14 1.7k
Aaron G. Roseberry United States 16 1.3k 1.3× 612 1.1× 770 1.6× 382 1.3× 370 1.5× 24 1.8k
Fumiko Takenoya Japan 23 832 0.8× 388 0.7× 349 0.7× 297 1.0× 560 2.2× 69 1.4k
Jason Mastaitis United States 20 828 0.8× 637 1.1× 521 1.1× 622 2.1× 148 0.6× 32 1.7k
Simon Heß Germany 16 640 0.6× 507 0.9× 261 0.5× 650 2.2× 207 0.8× 25 1.7k
Raffaella Spinazzi Italy 20 596 0.6× 285 0.5× 180 0.4× 262 0.9× 274 1.1× 41 1.3k
Rebecca L. Leshan United States 20 1.8k 1.8× 970 1.7× 947 2.0× 509 1.7× 228 0.9× 24 2.6k
Xue-Jun Yang United States 9 570 0.6× 362 0.6× 144 0.3× 216 0.7× 83 0.3× 10 1.1k

Countries citing papers authored by Michelle Choi

Since Specialization
Citations

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

Fields of papers citing papers by Michelle Choi

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Michelle Choi

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

All Works

8 of 8 papers shown
1.
Fleischhacker, Angela S., Ajay Sharma, Michelle Choi, et al.. (2015). The C-Terminal Heme Regulatory Motifs of Heme Oxygenase-2 Are Redox-Regulated Heme Binding Sites. Biochemistry. 54(17). 2709–2718. 28 indexed citations
2.
Rossi, Jari, Nina Balthasar, David P. Olson, et al.. (2011). Melanocortin-4 Receptors Expressed by Cholinergic Neurons Regulate Energy Balance and Glucose Homeostasis. Cell Metabolism. 13(2). 195–204. 481 indexed citations breakdown →
3.
Xu, Yong, Jennifer W. Hill, Makoto Fukuda, et al.. (2010). PI3K Signaling in the Ventromedial Hypothalamic Nucleus Is Required for Normal Energy Homeostasis. Cell Metabolism. 12(1). 88–95. 91 indexed citations
4.
Williams, Kevin W., Lisandra Oliveira Margatho, Charlotte E. Lee, et al.. (2010). Segregation of Acute Leptin and Insulin Effects in Distinct Populations of Arcuate Proopiomelanocortin Neurons. Journal of Neuroscience. 30(7). 2472–2479. 276 indexed citations
5.
Hill, Jennifer W., Carol F. Elias, Makoto Fukuda, et al.. (2010). Direct Insulin and Leptin Action on Pro-opiomelanocortin Neurons Is Required for Normal Glucose Homeostasis and Fertility. Cell Metabolism. 11(4). 286–297. 305 indexed citations
6.
Xu, Yong, Juli E. Jones, Daisuke Kohno, et al.. (2008). 5-HT2CRs Expressed by Pro-Opiomelanocortin Neurons Regulate Energy Homeostasis. Neuron. 60(4). 582–589. 268 indexed citations
7.
Fukuda, Makoto, Juli E. Jones, David P. Olson, et al.. (2008). Monitoring FoxO1 Localization in Chemically Identified Neurons. Journal of Neuroscience. 28(50). 13640–13648. 62 indexed citations
8.
Morra, Massimo, Olin Silander, Silvia Calpe, et al.. (2001). Alterations of the X-linked lymphoproliferative disease geneSH2D1A in common variable immunodeficiency syndrome. Blood. 98(5). 1321–1325. 94 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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