Jesline T. Alexander

1.5k total citations
16 papers, 1.2k citations indexed

About

Jesline T. Alexander is a scholar working on Endocrine and Autonomic Systems, Cellular and Molecular Neuroscience and Physiology. According to data from OpenAlex, Jesline T. Alexander has authored 16 papers receiving a total of 1.2k indexed citations (citations by other indexed papers that have themselves been cited), including 14 papers in Endocrine and Autonomic Systems, 7 papers in Cellular and Molecular Neuroscience and 6 papers in Physiology. Recurrent topics in Jesline T. Alexander's work include Regulation of Appetite and Obesity (14 papers), Neuropeptides and Animal Physiology (7 papers) and Hypothalamic control of reproductive hormones (6 papers). Jesline T. Alexander is often cited by papers focused on Regulation of Appetite and Obesity (14 papers), Neuropeptides and Animal Physiology (7 papers) and Hypothalamic control of reproductive hormones (6 papers). Jesline T. Alexander collaborates with scholars based in United States and Japan. Jesline T. Alexander's co-authors include Sarah F. Leibowitz, Akira Akabayashi, Jordan Dourmashkin, Claes Wahlestedt, Guo Chang, Jian Wang, Sarah F. Leibowitz, Gail F. Weiss, Nathan W. Levin and Ximena Páez and has published in prestigious journals such as Biological Psychiatry, Brain Research and Endocrinology.

In The Last Decade

Jesline T. Alexander

16 papers receiving 1.2k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Jesline T. Alexander United States 13 742 457 346 284 212 16 1.2k
Nina Pronchuk Ukraine 10 611 0.8× 458 1.0× 396 1.1× 366 1.3× 338 1.6× 14 1.3k
L. David McKay United States 7 874 1.2× 346 0.8× 583 1.7× 317 1.1× 249 1.2× 9 1.3k
Stavroula E. Kyrkouli United States 7 1.0k 1.4× 855 1.9× 244 0.7× 312 1.1× 284 1.3× 8 1.4k
Lucy Pickavance United Kingdom 25 949 1.3× 332 0.7× 730 2.1× 365 1.3× 458 2.2× 42 1.9k
Paul J. Currie United States 22 843 1.1× 373 0.8× 455 1.3× 495 1.7× 118 0.6× 56 1.2k
A. Sahu United States 12 745 1.0× 417 0.9× 229 0.7× 298 1.0× 121 0.6× 23 979
Donna L. Tempel United States 15 714 1.0× 507 1.1× 261 0.8× 160 0.6× 132 0.6× 17 1.2k
SuJean Choi United States 20 567 0.8× 347 0.8× 369 1.1× 205 0.7× 165 0.8× 36 1.2k
Richard E. Keesey United States 22 703 0.9× 253 0.6× 627 1.8× 253 0.9× 129 0.6× 42 1.7k
Paul J. Kulkosky United States 21 542 0.7× 794 1.7× 276 0.8× 245 0.9× 358 1.7× 61 1.6k

Countries citing papers authored by Jesline T. Alexander

Since Specialization
Citations

This map shows the geographic impact of Jesline T. Alexander'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 Jesline T. Alexander with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jesline T. Alexander more than expected).

Fields of papers citing papers by Jesline T. Alexander

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Jesline T. Alexander. 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 Jesline T. Alexander. The network helps show where Jesline T. Alexander may publish in the future.

Co-authorship network of co-authors of Jesline T. Alexander

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

All Works

16 of 16 papers shown
1.
Leibowitz, Sarah F., Akira Akabayashi, Jesline T. Alexander, Olga Karatayev, & Guo Chang. (2009). Puberty Onset in Female Rats: Relationship With Fat Intake, Ovarian Steroids and the Peptides, Galanin and Enkephalin, in the Paraventricular and Medial Preoptic Nuclei. Journal of Neuroendocrinology. 21(6). 538–549. 30 indexed citations
2.
Leibowitz, Sarah F., Akira Akabayashi, Olga Karatayev, et al.. (2005). Function of neuropeptide Y and agouti-related protein at weaning: relation to corticosterone, dietary carbohydrate and body weight. Brain Research. 1036(1-2). 180–191. 15 indexed citations
3.
Alexander, Jesline T., Guo Chang, Jordan Dourmashkin, & Sarah F. Leibowitz. (2005). Distinct phenotypes of obesity-prone AKR/J, DBA2J and C57BL/6J mice compared to control strains. International Journal of Obesity. 30(1). 50–59. 91 indexed citations
4.
Leibowitz, Sarah F., Jesline T. Alexander, Jordan Dourmashkin, et al.. (2005). Phenotypic profile of SWR/J and A/J mice compared to control strains: Possible mechanisms underlying resistance to obesity on a high-fat diet. Brain Research. 1047(2). 137–147. 34 indexed citations
5.
Wang, Jian, Akira Akabayashi, Jordan Dourmashkin, et al.. (1998). Hypothalamic galanin: control by signals of fat metabolism. Brain Research. 804(1). 7–20. 52 indexed citations
6.
Leibowitz, Sarah F. & Jesline T. Alexander. (1998). Hypothalamic serotonin in control of eating behavior, meal size, and body weight. Biological Psychiatry. 44(9). 851–864. 404 indexed citations
7.
Wang, Jian, et al.. (1998). Neuropeptide Y in relation to carbohydrate intake, corticosterone and dietary obesity. Brain Research. 802(1-2). 75–88. 53 indexed citations
8.
Leibowitz, Sarah F., Akira Akabayashi, Jesline T. Alexander, & Jian Wang. (1998). Gonadal Steroids and Hypothalamic Galanin and Neuropeptide Y: Role in Eating Behavior and Body Weight Control in Female Rats1. Endocrinology. 139(4). 1771–1780. 58 indexed citations
9.
Wang, Jian, et al.. (1998). Behavioral and endocrine traits of obesity-prone and obesity-resistant rats on macronutrient diets. American Journal of Physiology-Endocrinology and Metabolism. 274(6). E1057–E1066. 43 indexed citations
10.
Akabayashi, Akira, Claes Wahlestedt, Jesline T. Alexander, & Sarah F. Leibowitz. (1994). Specific inhibition of endogenous neuropeptide Y synthesis in arcuate nucleus by antisense oligonucleotides suppresses feeding behavior and insulin secretion. Molecular Brain Research. 21(1-2). 55–61. 155 indexed citations
11.
Akabayashi, Akira, Nathan W. Levin, Ximena Páez, Jesline T. Alexander, & Sarah F. Leibowitz. (1994). Hypothalamic Neuropeptide Y and Its Gene Expression: Relation to Light/Dark Cycle and Circulating Corticosterone. Molecular and Cellular Neuroscience. 5(3). 210–218. 77 indexed citations
12.
Leibowitz, Sarah F., et al.. (1993). Effects of serotonin and the serotonin blocker metergoline on meal patterns and macronutrient selection. Pharmacology Biochemistry and Behavior. 45(1). 185–194. 59 indexed citations
13.
Alexander, Jesline T., et al.. (1993). Meal patterns and macronutrient intake after peripheral and PVN injections of the α2-receptor antagonist idazoxan. Physiology & Behavior. 53(4). 623–630. 11 indexed citations
14.
Leibowitz, Sarah F., et al.. (1993). Meal Pattern Analysis of Macronutrient Intake Aafter PVN Norepinephrine and Peripheral Clonidine Administration. Obesity Research. 1(1). 29–39. 7 indexed citations
15.
Leibowitz, Sarah F. & Jesline T. Alexander. (1991). Analysis of neuropeptide Y-induced feeding: Dissociation of Y1 and Y2 receptor effects on natural meal patterns. Peptides. 12(6). 1251–1260. 128 indexed citations
16.
Petering, Harold G., et al.. (1974). A metabolic and nutritional evaluation of burn neutrophil function.. PubMed. 70(6). 81–91. 2 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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