Heidi M. Rivera

980 total citations
18 papers, 718 citations indexed

About

Heidi M. Rivera is a scholar working on Endocrine and Autonomic Systems, Genetics and Physiology. According to data from OpenAlex, Heidi M. Rivera has authored 18 papers receiving a total of 718 indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Endocrine and Autonomic Systems, 6 papers in Genetics and 5 papers in Physiology. Recurrent topics in Heidi M. Rivera's work include Regulation of Appetite and Obesity (8 papers), Genetic and phenotypic traits in livestock (4 papers) and Reproductive Physiology in Livestock (4 papers). Heidi M. Rivera is often cited by papers focused on Regulation of Appetite and Obesity (8 papers), Genetic and phenotypic traits in livestock (4 papers) and Reproductive Physiology in Livestock (4 papers). Heidi M. Rivera collaborates with scholars based in United States, Brazil and France. Heidi M. Rivera's co-authors include Elinor L. Sullivan, Lisa A. Eckel, P.M. Fricke, H. López, Todd L. Stincic, Lothar Eckel, Cynthia L. Bethea, Martin J. Kelly, Oline K. Rønnekleiv and Jian Qiu and has published in prestigious journals such as Brain Research, Endocrinology and Neuroscience.

In The Last Decade

Heidi M. Rivera

16 papers receiving 707 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Heidi M. Rivera United States 15 182 181 164 133 132 18 718
J. A. F. Tresguerres Spain 17 179 1.0× 89 0.5× 115 0.7× 76 0.6× 120 0.9× 50 851
C. Wayne Simpson United States 15 99 0.5× 75 0.4× 72 0.4× 183 1.4× 319 2.4× 40 833
R Soldani Italy 16 334 1.8× 73 0.4× 198 1.2× 118 0.9× 184 1.4× 29 895
M.L. Forcelledo Chile 13 298 1.6× 246 1.4× 40 0.2× 317 2.4× 155 1.2× 26 751
Marion Léonhardt France 9 83 0.5× 522 2.9× 46 0.3× 91 0.7× 36 0.3× 9 772
Aneta Stefanidis Australia 17 413 2.3× 104 0.6× 50 0.3× 34 0.3× 267 2.0× 29 1.0k
Mario G. Oyola United States 9 84 0.5× 61 0.3× 143 0.9× 77 0.6× 126 1.0× 13 774
Belinda A. Henry Australia 23 777 4.3× 56 0.3× 162 1.0× 87 0.7× 375 2.8× 47 1.6k
Nancy J. Kenney United States 13 269 1.5× 91 0.5× 33 0.2× 131 1.0× 161 1.2× 22 814
Shoji Nagatani Japan 16 829 4.6× 51 0.3× 136 0.8× 72 0.5× 586 4.4× 21 1.3k

Countries citing papers authored by Heidi M. Rivera

Since Specialization
Citations

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

Fields of papers citing papers by Heidi M. Rivera

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Heidi M. Rivera. 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 Heidi M. Rivera. The network helps show where Heidi M. Rivera may publish in the future.

Co-authorship network of co-authors of Heidi M. Rivera

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

All Works

18 of 18 papers shown
1.
Qiu, Jian, Heidi M. Rivera, Martha A. Bosch, et al.. (2018). Estrogenic-dependent glutamatergic neurotransmission from kisspeptin neurons governs feeding circuits in females. eLife. 7. 74 indexed citations
2.
Rivera, Heidi M. & Todd L. Stincic. (2017). Estradiol and the control of feeding behavior. Steroids. 133. 44–52. 35 indexed citations
3.
Sullivan, Elinor L., Heidi M. Rivera, Cadence True, et al.. (2017). Maternal and postnatal high-fat diet consumption programs energy balance and hypothalamic melanocortin signaling in nonhuman primate offspring. American Journal of Physiology-Regulatory, Integrative and Comparative Physiology. 313(2). R169–R179. 37 indexed citations
4.
Batista, E. O. S., Leandro M. Vieira, M.F. Sá Filho, et al.. (2016). Short communication: Field fertility in Holstein bulls: Can type of breeding strategy (artificial insemination following estrus versus timed artificial insemination) alter service sire fertility?. Journal of Dairy Science. 99(3). 2010–2015. 9 indexed citations
5.
Rivera, Heidi M., et al.. (2015). The role of maternal obesity in the risk of neuropsychiatric disorders. Frontiers in Neuroscience. 9. 194–194. 214 indexed citations
6.
Rivera, Heidi M., Paul Kievit, Melissa A. Kirigiti, et al.. (2015). Maternal high-fat diet and obesity impact palatable food intake and dopamine signaling in nonhuman primate offspring. Obesity. 23(11). 2157–2164. 71 indexed citations
7.
Rivera, Heidi M. & Cynthia L. Bethea. (2013). Ovarian steroids increase PSD-95 expression and dendritic spines in the dorsal raphe of ovariectomized macaques. Synapse. 67(12). 897–908. 14 indexed citations
8.
Rivera, Heidi M. & Cynthia L. Bethea. (2012). Ovarian steroids increase spinogenetic proteins in the macaque dorsal raphe. Neuroscience. 208. 27–40. 14 indexed citations
9.
Rivera, Heidi M., Jessica Santollo, Larissa Nikonova, & Lisa A. Eckel. (2011). Estradiol increases the anorexia associated with increased 5-HT2C receptor activation in ovariectomized rats. Physiology & Behavior. 105(2). 188–194. 24 indexed citations
10.
Rivera, Heidi M. & Lisa A. Eckel. (2010). Activation of Central, But Not Peripheral, Estrogen Receptors Is Necessary for Estradiol’s Anorexigenic Effect in Ovariectomized Rats. Endocrinology. 151(12). 5680–5688. 24 indexed citations
11.
Rivera, Heidi M., et al.. (2009). Estradiol increases Pet-1 and serotonin transporter mRNA in the midbrain raphe nuclei of ovariectomized rats. Brain Research. 1259. 51–58. 27 indexed citations
12.
Rivera, Heidi M., Thomas A. Houpt, & Lisa A. Eckel. (2008). Estradiol's influence on tryptophan-hydroxylase 2 gene expression in raphe nuclei. Appetite. 51(2). 394–394.
13.
14.
Rivera, Heidi M., R.A. Sterry, & P.M. Fricke. (2006). Presynchronization with Gonadotropin-Releasing Hormone Does Not Improve Fertility in Holstein Heifers. Journal of Dairy Science. 89(10). 3810–3816. 17 indexed citations
15.
Eckel, Lisa A., et al.. (2005). The anorectic effect of fenfluramine is influenced by sex and stage of the estrous cycle in rats. American Journal of Physiology-Regulatory, Integrative and Comparative Physiology. 288(6). R1486–R1491. 36 indexed citations
16.
Rivera, Heidi M. & Lothar Eckel. (2005). The anorectic effect of fenfluramine is increased by estradiol treatment in ovariectomized rats. Physiology & Behavior. 86(3). 331–337. 37 indexed citations
17.
Rivera, Heidi M., H. López, & P.M. Fricke. (2005). Use of Intravaginal Progesterone-Releasing Inserts in a Synchronization Protocol before Timed AI and for Synchronizing Return to Estrus in Holstein Heifers. Journal of Dairy Science. 88(3). 957–968. 51 indexed citations
18.
Rivera, Heidi M., H. López, & P.M. Fricke. (2004). Fertility of Holstein Dairy Heifers after Synchronization of Ovulation and Timed AI or AI after Removed Tail Chalk. Journal of Dairy Science. 87(7). 2051–2061. 34 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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