Twethida Oung

9 papers receiving 408 citations

Peers

Twethida Oung
Comparison fields: 5 of 67
  • Behavioral Neuroscience 93
  • Reproductive Medicine 153
  • Endocrine and Autonomic Systems 51
  • Endocrinology, Diabetes and Metabolism 90
  • Health, Toxicology and Mutagenesis 67
Replace Caroline Parmentier with:
Caroline Parmentier France
Jaime A. Moguilevsky Argentina
Sudha Krishnan United States
Linda Plapinger United States
Alice Farinetti Italy
Renata B. Fishman United States
Marietta Vértes Hungary
Markus Lauber Switzerland
Sarah Gingerich Canada
Angela S. Pechenino United States
Twethida Oung relative to Caroline Parmentier France Caroline Parmentier's profile →
Citations per field
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Citations per year

Countries citing papers authored by Twethida Oung

Since Specialization
Citations

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

Fields of papers citing papers by Twethida Oung

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Twethida Oung, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Twethida Oung Line = papers co-authored together Twethida Oung links everyone, so they are left out of the graph.

All Works

9 of 9 papers shown
#Work
1 200269
2 200063
3 200062
4 200254
5 200151
6 201032
7 200932
8
Novel localization of NMDA receptors within neuroendocrine gonadotropin-releasing hormone terminals.
200732
9 201022

About Twethida Oung

Twethida Oung is a scholar working on Reproductive Medicine, Behavioral Neuroscience, Molecular Biology, Social Psychology and Genetics, having authored 9 papers that have together received 417 indexed citations. Recurring topics across this work include Hypothalamic control of reproductive hormones (5 papers), Stress Responses and Cortisol (4 papers), Estrogen and related hormone effects (2 papers), Wnt/β-catenin signaling in development and cancer (2 papers), Neuroendocrine regulation and behavior (2 papers), Regulation of Appetite and Obesity (1 paper), Lipid metabolism and biosynthesis (1 paper) and Effects and risks of endocrine disrupting chemicals (1 paper). The work is most often cited by research in Behavioral Neuroscience (93 citations), Reproductive Medicine (153 citations), Endocrine and Autonomic Systems (51 citations), Endocrinology, Diabetes and Metabolism (90 citations) and Health, Toxicology and Mutagenesis (67 citations). Twethida Oung has collaborated with scholars based in United States and Spain. Frequent co-authors include Andrea C. Gore, Michael J. Woller, John H. Morrison, T. John Wu, J. H. Morrison, Michelle M. Adams, William G.M. Janssen, Greg R. Phillips, Mónica Fernández‐Monreal and John M. Mendenhall. Their work appears in journals such as Journal of Neuroendocrinology, Experimental Neurology, European Journal of Neuroscience, Molecular Neurodegeneration and Journal of Biological Chemistry.

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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