Michelle Jamnongjit

1.0k total citations
10 papers, 840 citations indexed

About

Michelle Jamnongjit is a scholar working on Public Health, Environmental and Occupational Health, Reproductive Medicine and Endocrinology, Diabetes and Metabolism. According to data from OpenAlex, Michelle Jamnongjit has authored 10 papers receiving a total of 840 indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Public Health, Environmental and Occupational Health, 7 papers in Reproductive Medicine and 3 papers in Endocrinology, Diabetes and Metabolism. Recurrent topics in Michelle Jamnongjit's work include Reproductive Biology and Fertility (8 papers), Ovarian function and disorders (6 papers) and Hormonal and reproductive studies (3 papers). Michelle Jamnongjit is often cited by papers focused on Reproductive Biology and Fertility (8 papers), Ovarian function and disorders (6 papers) and Hormonal and reproductive studies (3 papers). Michelle Jamnongjit collaborates with scholars based in United States. Michelle Jamnongjit's co-authors include Stephen R. Hammes, Wei‐Hsiung Yang, Bala Bhagavath, Robert M. Blanton, Mark T. Nelson, Wendy Baur, Richard H. Karas, Yan Zhu, Mark Aronovitz and Michael E. Mendelsohn and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Molecular Endocrinology and Neuropharmacology.

In The Last Decade

Michelle Jamnongjit

10 papers receiving 820 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 Jamnongjit United States 10 389 354 254 202 119 10 840
Sheng Wu United States 20 329 0.8× 648 1.8× 190 0.7× 175 0.9× 284 2.4× 41 1.1k
Ghislaine Garrel France 18 183 0.5× 430 1.2× 230 0.9× 182 0.9× 128 1.1× 31 768
Judith L. Turgeon United States 18 129 0.3× 326 0.9× 242 1.0× 444 2.2× 418 3.5× 35 1.0k
J. Lino Barañao Argentina 20 514 1.3× 368 1.0× 437 1.7× 255 1.3× 357 3.0× 41 1.3k
David E. Lennard United States 8 193 0.5× 279 0.8× 134 0.5× 163 0.8× 100 0.8× 9 645
Natalia Danilovich Canada 17 379 1.0× 433 1.2× 244 1.0× 386 1.9× 285 2.4× 22 1.0k
Britta A. Mattson United States 12 348 0.9× 150 0.4× 316 1.2× 94 0.5× 68 0.6× 17 815
Ruey-Sheng Wang Taiwan 5 160 0.4× 203 0.6× 201 0.8× 199 1.0× 181 1.5× 8 643
Dante A. Paz Argentina 20 108 0.3× 234 0.7× 149 0.6× 138 0.7× 72 0.6× 54 913
Takao Mori Japan 20 100 0.3× 415 1.2× 254 1.0× 379 1.9× 214 1.8× 79 1.4k

Countries citing papers authored by Michelle Jamnongjit

Since Specialization
Citations

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

Fields of papers citing papers by Michelle Jamnongjit

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Michelle Jamnongjit

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

All Works

10 of 10 papers shown
1.
Jamnongjit, Michelle, et al.. (2008). Nongenomic steroid-triggered oocyte maturation: Of mice and frogs. Steroids. 74(7). 595–601. 22 indexed citations
2.
Surks, Howard K., Yuepeng Wang, Yan Zhu, et al.. (2008). High blood pressure arising from a defect in vascular function. Proceedings of the National Academy of Sciences. 105(18). 6702–6707. 112 indexed citations
3.
VanLandingham, Jacob W., Sarah M. Cutler, Stuart W. Hoffman, et al.. (2006). The enantiomer of progesterone acts as a molecular neuroprotectant after traumatic brain injury. Neuropharmacology. 51(6). 1078–1085. 67 indexed citations
4.
Jamnongjit, Michelle & Stephen R. Hammes. (2006). Ovarian Steroids: The Good, the Bad, and the Signals that Raise Them. Cell Cycle. 5(11). 1178–1183. 117 indexed citations
6.
White, Stephen D., et al.. (2005). Specific modulation of nongenomic androgen signaling in the ovary. Steroids. 70(5-7). 352–360. 27 indexed citations
7.
Jamnongjit, Michelle & Stephen R. Hammes. (2005). Oocyte Maturation: The Coming of Age of a Germ Cell. Seminars in Reproductive Medicine. 23(3). 234–241. 85 indexed citations
8.
Jamnongjit, Michelle, et al.. (2005). Epidermal growth factor receptor signaling is required for normal ovarian steroidogenesis and oocyte maturation. Proceedings of the National Academy of Sciences. 102(45). 16257–16262. 167 indexed citations
9.
Jamnongjit, Michelle, et al.. (2003). Selective Modulation of Genomic and Nongenomic Androgen Responses by Androgen Receptor Ligands. Molecular Endocrinology. 17(6). 1106–1116. 96 indexed citations
10.
Jamnongjit, Michelle, et al.. (2003). Androgens Promote Maturation and Signaling in Mouse Oocytes Independent of Transcription: A Release of Inhibition Model for Mammalian Oocyte Meiosis. Molecular Endocrinology. 18(1). 97–104. 111 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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