Denise D. Belsham

8.2k total citations
162 papers, 6.3k citations indexed

About

Denise D. Belsham is a scholar working on Endocrine and Autonomic Systems, Reproductive Medicine and Molecular Biology. According to data from OpenAlex, Denise D. Belsham has authored 162 papers receiving a total of 6.3k indexed citations (citations by other indexed papers that have themselves been cited), including 88 papers in Endocrine and Autonomic Systems, 43 papers in Reproductive Medicine and 41 papers in Molecular Biology. Recurrent topics in Denise D. Belsham's work include Regulation of Appetite and Obesity (74 papers), Hypothalamic control of reproductive hormones (43 papers) and Circadian rhythm and melatonin (26 papers). Denise D. Belsham is often cited by papers focused on Regulation of Appetite and Obesity (74 papers), Hypothalamic control of reproductive hormones (43 papers) and Circadian rhythm and melatonin (26 papers). Denise D. Belsham collaborates with scholars based in Canada, United States and Brazil. Denise D. Belsham's co-authors include Christopher Mayer, Deboleena Roy, Fang Cai, Jennifer A. Chalmers, Prasad S. Dalvi, Leigh Wellhauser, Pamela L. Mellon, Hong Cui, Sandeep Dhillon and Neruja Loganathan and has published in prestigious journals such as Journal of Biological Chemistry, Nature Medicine and Journal of Neuroscience.

In The Last Decade

Denise D. Belsham

161 papers receiving 6.2k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Denise D. Belsham Canada 45 2.6k 1.8k 1.5k 1.2k 919 162 6.3k
Vincent Prévot France 55 3.5k 1.3× 2.2k 1.2× 1.6k 1.1× 3.2k 2.8× 1.3k 1.5× 197 9.7k
José Donato Brazil 43 2.6k 1.0× 1.1k 0.6× 1.8k 1.2× 1.0k 0.9× 439 0.5× 191 5.7k
Julie A. Chowen Spain 54 3.2k 1.2× 1.5k 0.8× 2.3k 1.5× 873 0.8× 1.7k 1.8× 220 9.2k
Charles V. Mobbs United States 44 3.7k 1.4× 1.7k 1.0× 3.0k 1.9× 1.1k 1.0× 1.1k 1.2× 146 8.4k
Sébastien G. Bouret United States 46 4.0k 1.5× 925 0.5× 2.6k 1.7× 754 0.7× 703 0.8× 97 7.3k
Csaba Fekete Hungary 48 3.2k 1.2× 981 0.5× 1.6k 1.1× 655 0.6× 1.2k 1.3× 139 6.7k
Zsolt Liposits Hungary 57 3.0k 1.2× 1.8k 1.0× 1.2k 0.8× 2.7k 2.3× 2.1k 2.3× 185 9.0k
Martin J. Kelly United States 56 2.7k 1.0× 2.6k 1.4× 1.0k 0.7× 3.5k 3.0× 2.1k 2.3× 170 8.9k
Ludwik K. Malendowicz Italy 35 1.5k 0.6× 1.2k 0.6× 980 0.6× 344 0.3× 1.2k 1.3× 222 4.4k
James L. Roberts United States 56 2.6k 1.0× 3.3k 1.8× 1.6k 1.1× 2.3k 2.0× 2.6k 2.8× 188 10.8k

Countries citing papers authored by Denise D. Belsham

Since Specialization
Citations

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

Fields of papers citing papers by Denise D. Belsham

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Denise D. Belsham. 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 Denise D. Belsham. The network helps show where Denise D. Belsham may publish in the future.

Co-authorship network of co-authors of Denise D. Belsham

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

All Works

20 of 20 papers shown
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Loganathan, Neruja, et al.. (2024). Phoenixin knockout mice show no impairment in fertility or differences in metabolic response to a high‐fat diet, but exhibit behavioral differences in an open field test. Journal of Neuroendocrinology. 36(10). e13398–e13398. 4 indexed citations
3.
Loganathan, Neruja, et al.. (2023). Phenylbutyric acid robustly increases Npy mRNA expression in hypothalamic neurons by increasing H3K9/14 acetylation at the Npy promoter. Biochemical and Biophysical Research Communications. 658. 18–26. 3 indexed citations
4.
Belsham, Denise D., et al.. (2023). Palmitate alters miR‐2137 and miR‐503‐5p to induce orexigenic Npy in hypothalamic neuronal cell models: Rescue by oleate and docosahexaenoic acid. Journal of Neuroendocrinology. 35(5). e13271–e13271. 6 indexed citations
5.
Griñán‐Ferré, Christian, María del Mar Romero, David Sebastián, et al.. (2023). Cpt1a silencing in AgRP neurons improves cognitive and physical capacity and promotes healthy aging in male mice. Aging Cell. 23(2). e14047–e14047. 3 indexed citations
6.
Belsham, Denise D., et al.. (2021). Spexin: Its role, regulation, and therapeutic potential in the hypothalamus. Pharmacology & Therapeutics. 233. 108033–108033. 23 indexed citations
7.
Belsham, Denise D., et al.. (2021). The Regulation of Phoenixin: A Fascinating Multidimensional Peptide. Journal of the Endocrine Society. 6(2). bvab192–bvab192. 15 indexed citations
8.
Loganathan, Neruja, et al.. (2021). Mechanisms Driving Palmitate-Mediated Neuronal Dysregulation in the Hypothalamus. Cells. 10(11). 3120–3120. 7 indexed citations
9.
Heras, Violeta, Susana Sangiao‐Alvarellos, María Manfredi-Lozano, et al.. (2019). Hypothalamic miR-30 regulates puberty onset via repression of the puberty-suppressing factor, Mkrn3. PLoS Biology. 17(11). e3000532–e3000532. 58 indexed citations
10.
Belsham, Denise D., et al.. (2018). Phoenixin: uncovering its receptor, signaling and functions. Acta Pharmacologica Sinica. 39(5). 774–778. 40 indexed citations
11.
Chandrasekharan, Bindu, Denise D. Belsham, Shanthi V. Sitaraman, et al.. (2013). Tumor Necrosis Factor–Neuropeptide Y Cross Talk Regulates Inflammation, Epithelial Barrier Functions, and Colonic Motility. Inflammatory Bowel Diseases. 19(12). 2535–2546. 58 indexed citations
12.
Nazarians-Armavil, Anaies, et al.. (2013). Cellular insulin resistance disrupts hypothalamic mHypoA-POMC/GFP neuronal signaling pathways. Journal of Endocrinology. 220(1). 13–24. 37 indexed citations
13.
Wang, Xiaomei, Jennifer A. Chalmers, David R. Thompson, et al.. (2011). Generation of Immortal Cell Lines from the Adult Pituitary: Role of cAMP on Differentiation of SOX2-Expressing Progenitor Cells to Mature Gonadotropes. PLoS ONE. 6(11). e27799–e27799. 13 indexed citations
14.
Dhillon, Sandeep, et al.. (2010). Neuroendocrine Gene Regulation in Hypothalamic Cell Lines. 3(1). 1 indexed citations
15.
Labrie, Viviane, Ryutaro Fukumura, Laura J. Fick, et al.. (2009). Serine racemase is associated with schizophrenia susceptibility in humans and in a mouse model. Human Molecular Genetics. 18(17). 3227–3243. 140 indexed citations
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Cai, Fang, Armen V. Gyulkhandanyan, Michael B. Wheeler, & Denise D. Belsham. (2007). Glucose regulates AMP-activated protein kinase activity and gene expression in clonal, hypothalamic neurons expressing proopiomelanocortin: additive effects of leptin or insulin. Journal of Endocrinology. 192(3). 605–614. 63 indexed citations
18.
Brown, Russell E., et al.. (2007). Adipokine Gene Expression in a Novel Hypothalamic Neuronal Cell Line: Resistin-Dependent Regulation of Fasting-Induced Adipose Factor and SOCS-3. Neuroendocrinology. 85(4). 232–241. 24 indexed citations
19.
Roy, Deboleena, et al.. (2001). Cyclical Regulation of GnRH Gene Expression in GT1–7 GnRH-Secreting Neurons by Melatonin. Endocrinology. 142(11). 4711–4720. 88 indexed citations
20.

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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