Shahrad Taheri

15.5k total citations · 5 hit papers
144 papers, 10.6k citations indexed

About

Shahrad Taheri is a scholar working on Physiology, Experimental and Cognitive Psychology and Cognitive Neuroscience. According to data from OpenAlex, Shahrad Taheri has authored 144 papers receiving a total of 10.6k indexed citations (citations by other indexed papers that have themselves been cited), including 47 papers in Physiology, 40 papers in Experimental and Cognitive Psychology and 38 papers in Cognitive Neuroscience. Recurrent topics in Shahrad Taheri's work include Sleep and related disorders (40 papers), Sleep and Wakefulness Research (37 papers) and Diet and metabolism studies (20 papers). Shahrad Taheri is often cited by papers focused on Sleep and related disorders (40 papers), Sleep and Wakefulness Research (37 papers) and Diet and metabolism studies (20 papers). Shahrad Taheri collaborates with scholars based in United Kingdom, Qatar and United States. Shahrad Taheri's co-authors include Terry Young, Emmanuel Mignot, Ling Lin, Diane Austin, Teresa Arora, Stephen R. Bloom, Mohammad A. Ghatei, Alison Wren, Paul E. Peppard and G. Neil Thomas and has published in prestigious journals such as SHILAP Revista de lepidopterología, Nature Neuroscience and PLoS ONE.

In The Last Decade

Shahrad Taheri

137 papers receiving 10.3k citations

Hit Papers

Short Sleep Duration Is Associated with Reduced Leptin, E... 2000 2026 2008 2017 2004 2000 2001 2005 2020 500 1000 1.5k

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Shahrad Taheri United Kingdom 46 4.8k 3.8k 3.6k 3.0k 1.7k 144 10.6k
Christian Benedict Sweden 52 2.6k 0.5× 2.3k 0.6× 3.0k 0.8× 1.9k 0.6× 898 0.5× 178 9.1k
Sérgio Tufik Brazil 55 3.9k 0.8× 2.6k 0.7× 5.4k 1.5× 3.0k 1.0× 238 0.1× 517 12.1k
Rachel Leproult United States 45 5.1k 1.1× 7.6k 2.0× 3.6k 1.0× 5.0k 1.7× 235 0.1× 102 13.6k
Mônica L. Andersen Brazil 52 2.4k 0.5× 2.9k 0.8× 2.3k 0.6× 3.3k 1.1× 286 0.2× 488 10.3k
Marta Garaulet Spain 55 4.2k 0.9× 2.0k 0.5× 5.2k 1.4× 637 0.2× 519 0.3× 184 9.1k
Chol Shin South Korea 49 1.6k 0.3× 1.7k 0.4× 3.0k 0.8× 1.2k 0.4× 429 0.3× 361 8.7k
Sérgio Tufik Brazil 50 2.5k 0.5× 3.9k 1.0× 2.0k 0.6× 3.6k 1.2× 254 0.1× 404 9.6k
Alexandros N. Vgontzas United States 72 8.6k 1.8× 11.4k 3.0× 8.9k 2.4× 8.1k 2.7× 277 0.2× 299 22.1k
Michael H. Smolensky United States 49 3.6k 0.8× 2.6k 0.7× 2.5k 0.7× 1.1k 0.4× 349 0.2× 217 9.4k
Richard Ross United Kingdom 59 1.9k 0.4× 1.1k 0.3× 1.4k 0.4× 1.6k 0.6× 743 0.4× 313 12.0k

Countries citing papers authored by Shahrad Taheri

Since Specialization
Citations

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

Fields of papers citing papers by Shahrad Taheri

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Shahrad Taheri

This figure shows the co-authorship network connecting the top 25 collaborators of Shahrad Taheri. A scholar is included among the top collaborators of Shahrad Taheri 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 Shahrad Taheri. Shahrad Taheri 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.
Wilkinson, Thomas J., Dimitris Papamargaritis, James A. King, et al.. (2024). Preservation of healthy lean body mass and function during weight loss. Clinical Obesity. 14(4). e12683–e12683.
2.
Mir, Fayaz Ahmad, Houari Abdesselem, Farhan Cyprian, et al.. (2023). Inflammatory protein signatures in individuals with obesity and metabolic syndrome. Scientific Reports. 13(1). 22185–22185. 13 indexed citations
3.
Dobbie, Laurence J., James P. Crane, Abdel Douiri, et al.. (2023). Laparoscopic adjustable gastric banding with liraglutide in adults with obesity and type 2 diabetes (GLIDE): a pilot randomised placebo controlled trial. International Journal of Obesity. 47(11). 1132–1142. 9 indexed citations
4.
Sattar, Naveed, Shahrad Taheri, David P. Astling, et al.. (2023). Prediction of Cardiometabolic Health Through Changes in Plasma Proteins With Intentional Weight Loss in the DiRECT and DIADEM-I Randomized Clinical Trials of Type 2 Diabetes Remission. Diabetes Care. 46(11). 1949–1957. 7 indexed citations
5.
Al‐Thani, Mohammed, et al.. (2023). Setting the agenda for diabetes research in the state of Qatar. SHILAP Revista de lepidopterología. 2(4). e117–e117. 2 indexed citations
6.
Ali, Gowher, Ahmed K. Elsayed, Mohammed Bashir, et al.. (2020). Keratinocytes Derived from Patient-Specific Induced Pluripotent Stem Cells Recapitulate the Genetic Signature of Psoriasis Disease. Stem Cells and Development. 29(7). 383–400. 31 indexed citations
7.
Zaghloul, Hadeel, Odette Chagoury, Salma Ahmed, et al.. (2020). Clinical and metabolic characteristics of the Diabetes Intervention Accentuating Diet and Enhancing Metabolism (DIADEM-I) randomised clinical trial cohort. BMJ Open. 10(12). e041386–e041386. 5 indexed citations
10.
Arora, Teresa & Shahrad Taheri. (2016). Is sleep education an effective tool for sleep improvement and minimizing metabolic disturbance and obesity in adolescents?. Sleep Medicine Reviews. 36. 3–12. 17 indexed citations
11.
Sathyanarayana, Aarti, Shafiq Joty, Luis Fernández-Luque, et al.. (2016). Sleep Quality Prediction From Wearable Data Using Deep Learning. JMIR mhealth and uhealth. 4(4). e125–e125. 166 indexed citations
12.
Leong, Wen B., et al.. (2016). Tackling diabesity: Weight management issues for people with type 2 diabetes. ResearchOnline at James Cook University (James Cook University). 18(5). 174–182.
13.
Arora, Teresa, Omar M. Omar, & Shahrad Taheri. (2016). Assessment for the possibility of a first night effect for wrist actigraphy in adolescents. BMJ Open. 6(10). e012172–e012172. 6 indexed citations
15.
Arora, Teresa & Shahrad Taheri. (2014). Associations among late chronotype, body mass index and dietary behaviors in young adolescents. International Journal of Obesity. 39(1). 39–44. 205 indexed citations
16.
Choudhury, Sopna, et al.. (2013). The Impact of a Diabetes Local Enhanced Service on Quality Outcome Framework Diabetes Outcomes. PLoS ONE. 8(12). e83738–e83738. 8 indexed citations
17.
Chen, Yen‐Fu, et al.. (2012). The Effects of Dietary Intervention on HIV Dyslipidaemia: A Systematic Review and Meta-Analysis. PLoS ONE. 7(6). e38121–e38121. 29 indexed citations
18.
Tomlinson, Brian, et al.. (2008). Rimonabant for the Treatment of Obesity. Recent Advances in Cardiovascular Drug Discovery (Formerly Recent Patents on Cardiovascular Drug Discovery). 3(3). 187–193. 42 indexed citations
19.
Ghatei, Mohammad A., Robert A. Goodlad, Shahrad Taheri, et al.. (2001). Proglucagon-Derived Peptides in Intestinal Epithelial Proliferation. Digestive Diseases and Sciences. 46(6). 1255–1263. 55 indexed citations
20.
Seal, Leighton, C Small, S Stanley, et al.. (2000). Prolactin Releasing Peptide (PrRP) Stimulates Luteinizing Hormone (LH) and Follicle Stimulating Hormone (FSH) via a Hypothalamic Mechanism in Male Rats. Endocrinology. 141(5). 1909–1912. 78 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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