Joseph A. Seggio

554 total citations
31 papers, 433 citations indexed

About

Joseph A. Seggio is a scholar working on Endocrine and Autonomic Systems, Physiology and Cellular and Molecular Neuroscience. According to data from OpenAlex, Joseph A. Seggio has authored 31 papers receiving a total of 433 indexed citations (citations by other indexed papers that have themselves been cited), including 24 papers in Endocrine and Autonomic Systems, 14 papers in Physiology and 11 papers in Cellular and Molecular Neuroscience. Recurrent topics in Joseph A. Seggio's work include Circadian rhythm and melatonin (22 papers), Adipose Tissue and Metabolism (8 papers) and Dietary Effects on Health (6 papers). Joseph A. Seggio is often cited by papers focused on Circadian rhythm and melatonin (22 papers), Adipose Tissue and Metabolism (8 papers) and Dietary Effects on Health (6 papers). Joseph A. Seggio collaborates with scholars based in United States. Joseph A. Seggio's co-authors include Ryan W. Logan, Alan M. Rosenwasser, Nicole L. Arruda, S. Tariq Ahmad, Bernard Possidente, Kenneth W. Adams, Chelsea M. Stillman, Jennifer Liao, Katherine W. Muto and Karyn E. O'Connell and has published in prestigious journals such as PLoS ONE, Behavioural Brain Research and Physiology & Behavior.

In The Last Decade

Joseph A. Seggio

29 papers receiving 429 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Joseph A. Seggio United States 13 285 184 101 91 48 31 433
Danny Truong United States 10 371 1.3× 174 0.9× 180 1.8× 166 1.8× 31 0.6× 11 619
Natalia Machado United States 11 219 0.8× 115 0.6× 76 0.8× 120 1.3× 40 0.8× 16 416
Andrew M. Vosko United States 7 348 1.2× 112 0.6× 204 2.0× 101 1.1× 26 0.5× 10 478
Daniel E. Kolker United States 7 360 1.3× 182 1.0× 115 1.1× 158 1.7× 66 1.4× 8 491
Penny C. Molyneux United States 11 463 1.6× 242 1.3× 153 1.5× 109 1.2× 26 0.5× 15 529
Michael Verwey Canada 13 470 1.6× 186 1.0× 154 1.5× 315 3.5× 22 0.5× 17 609
Yuval Weigl Israel 7 276 1.0× 109 0.6× 93 0.9× 134 1.5× 20 0.4× 11 373
Maaike M.H. van Swieten Netherlands 7 173 0.6× 72 0.4× 192 1.9× 176 1.9× 52 1.1× 12 473
Susan Losee Olson United States 7 333 1.2× 128 0.7× 82 0.8× 54 0.6× 105 2.2× 8 534
Luis Leon‐Mercado United States 8 269 0.9× 147 0.8× 65 0.6× 78 0.9× 23 0.5× 13 352

Countries citing papers authored by Joseph A. Seggio

Since Specialization
Citations

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

Fields of papers citing papers by Joseph A. Seggio

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Joseph A. Seggio. 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 Joseph A. Seggio. The network helps show where Joseph A. Seggio may publish in the future.

Co-authorship network of co-authors of Joseph A. Seggio

This figure shows the co-authorship network connecting the top 25 collaborators of Joseph A. Seggio. A scholar is included among the top collaborators of Joseph A. Seggio 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 Joseph A. Seggio. Joseph A. Seggio 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
1.
Shelton, Micah A., Xiangning Xue, Darrell Eacret, et al.. (2025). Sex-Specific Concordance of Striatal Transcriptional Signatures of Opioid Addiction in Human and Rodent Brains. Biological Psychiatry Global Open Science. 5(3). 100476–100476.
3.
Seggio, Joseph A., et al.. (2024). Turn off that night light! Light-at-night as a stressor for adolescents. Frontiers in Neuroscience. 18. 2 indexed citations
4.
Price, John C., et al.. (2024). Obesity alters circadian and behavioral responses to constant light in male mice. Physiology & Behavior. 287. 114711–114711. 2 indexed citations
5.
Seggio, Joseph A., et al.. (2021). Strain specific behavioral and physiological responses to constant light in male CBA/J and CBA/CaJ mice. Sleep Science. 14(S 02). 167–173. 2 indexed citations
6.
Arruda, Nicole L., et al.. (2020). Substrain specific behavioral responses in male C57BL/6N and C57BL/6J mice to a shortened 21-hour day and high-fat diet. Chronobiology International. 37(6). 809–823. 13 indexed citations
7.
Seggio, Joseph A., et al.. (2020). The timing of fasting leads to different levels of food consumption and PYY3–36 in nocturnal mice. HORMONES. 19(4). 549–558. 5 indexed citations
8.
Logan, Ryan W., et al.. (2019). Male C57BL6/N and C57BL6/J Mice Respond Differently to Constant Light and Running-Wheel Access. Frontiers in Behavioral Neuroscience. 13. 268–268. 24 indexed citations
9.
Arruda, Nicole L., et al.. (2017). Removal of a high-fat diet, but not voluntary exercise, reverses obesity and diabetic-like symptoms in male C57BL/6J mice. HORMONES. 16(1). 62–74. 8 indexed citations
10.
Arruda, Nicole L., et al.. (2017). The behavioral and physiological effects of high‐fat diet and alcohol consumption: Sex differences in C57BL6/J mice. Brain and Behavior. 7(6). e00708–e00708. 53 indexed citations
11.
Morgan, Stefanie L., et al.. (2016). The Phenotypic Effects of Royal Jelly on Wild-Type D. melanogaster Are Strain-Specific. PLoS ONE. 11(8). e0159456–e0159456. 3 indexed citations
12.
Liao, Jennifer, Joseph A. Seggio, & S. Tariq Ahmad. (2016). Mutations in the circadian gene period alter behavioral and biochemical responses to ethanol in Drosophila. Behavioural Brain Research. 302. 213–219. 6 indexed citations
13.
Arruda, Nicole L., et al.. (2016). Increased size due to larval royal jelly exposure does not affect circadian locomotor activity or climbing ability in adult femaleDrosophila melanogaster. Biological Rhythm Research. 48(3). 437–447. 1 indexed citations
14.
Seggio, Joseph A., et al.. (2015). 6-h advances alter circadian activity patterns, fasting glucose, and insulin levels in C57BL6/J mice. Biological Rhythm Research. 47(1). 133–143. 11 indexed citations
15.
Logan, Ryan W., et al.. (2015). Alcohol and lithium have opposing effects on the period and phase of the behavioral free-running activity rhythm. Alcohol. 49(4). 367–376. 10 indexed citations
16.
Muto, Katherine W., et al.. (2011). Spearmint ( l -Carvone) Oil and Wintergreen (Methyl Salicylate) Oil Emulsion Is an Effective Immersion Anesthetic of Fishes. Journal of Fish and Wildlife Management. 2(2). 146–155. 12 indexed citations
17.
Logan, Ryan W., et al.. (2011). Effects of Withdrawal from Chronic Intermittent Ethanol Vapor on the Level and Circadian Periodicity of Running‐Wheel Activity in C57BL/6J and C3H/HeJ Mice. Alcoholism Clinical and Experimental Research. 36(3). 467–476. 24 indexed citations
18.
Logan, Ryan W., et al.. (2010). Circadian wheel-running activity during withdrawal from chronic intermittent ethanol exposure in mice. Alcohol. 44(3). 239–244. 16 indexed citations
19.
Seggio, Joseph A., Ryan W. Logan, & Alan M. Rosenwasser. (2007). Chronic ethanol intake modulates photic and non-photic circadian phase responses in the Syrian hamster. Pharmacology Biochemistry and Behavior. 87(3). 297–305. 35 indexed citations
20.
Rosenwasser, Alan M., et al.. (2005). Circadian activity rhythms in selectively bred ethanol-preferring and nonpreferring rats. Alcohol. 36(2). 69–81. 36 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.

Explore authors with similar magnitude of impact

Rankless by CCL
2026