Antonio Convit

17.3k total citations · 4 hit papers
140 papers, 12.8k citations indexed

About

Antonio Convit is a scholar working on Physiology, Psychiatry and Mental health and Cognitive Neuroscience. According to data from OpenAlex, Antonio Convit has authored 140 papers receiving a total of 12.8k indexed citations (citations by other indexed papers that have themselves been cited), including 43 papers in Physiology, 35 papers in Psychiatry and Mental health and 29 papers in Cognitive Neuroscience. Recurrent topics in Antonio Convit's work include Dementia and Cognitive Impairment Research (24 papers), Alzheimer's disease research and treatments (22 papers) and Regulation of Appetite and Obesity (18 papers). Antonio Convit is often cited by papers focused on Dementia and Cognitive Impairment Research (24 papers), Alzheimer's disease research and treatments (22 papers) and Regulation of Appetite and Obesity (18 papers). Antonio Convit collaborates with scholars based in United States, Germany and France. Antonio Convit's co-authors include Mony J. de Leon, Oliver T. Wolf, Susan De Santi, Chaim Tarshish, Henry Rusinek, Victoria Sweat, Isabel Dziobek, Kimberley Rogers, Po Lai Yau and Hannah Bruehl and has published in prestigious journals such as Proceedings of the National Academy of Sciences, SHILAP Revista de lepidopterología and Nature Neuroscience.

In The Last Decade

Antonio Convit

136 papers receiving 12.4k citations

Hit Papers

align trajectories

What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

Cortisol levels during human aging predict hippocampal atrophy and memory deficits

1998 1.3k citations Sonia Lupien, Mony J. de Leon et al. Nature Neuroscience profile →
Dissociation of Cognitive and Emotional Empathy in Adults with Asperger Syndrome Using the Multifaceted Empathy Test (MET)

2007 628 citations Isabel Dziobek, Oliver T. Wolf et al. profile →
Introducing MASC: A Movie for the Assessment of Social Cognition

2006 618 citations Isabel Dziobek, Oliver T. Wolf et al. profile →
Prediction of cognitive decline in normal elderly subjects with 2-[ ¹⁸ F]fluoro-2-deoxy- d -glucose/positron-emission tomography (FDG/PET)

2001 522 citations Mony J. de Leon, Antonio Convit et al. profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Antonio Convit United States	57	4.0k	3.9k	3.5k	1.9k	1.8k	140	12.8k
Murray A. Raskind United States	88	5.1k 1.3×	6.7k 1.7×	2.9k 0.8×	2.4k 1.3×	2.7k 1.5×	277	22.6k
Shih‐Jen Tsai Taiwan	63	4.5k 1.1×	1.7k 0.4×	4.1k 1.2×	2.1k 1.1×	1.2k 0.7×	689	16.9k
Wagner F. Gattaz Brazil	64	6.1k 1.5×	2.7k 0.7×	2.3k 0.7×	1.6k 0.9×	699 0.4×	387	14.5k
Bernhard T. Baune Australia	72	3.5k 0.9×	2.2k 0.6×	2.6k 0.7×	2.0k 1.1×	2.9k 1.6×	408	16.9k
Isabella Heuser Germany	62	3.6k 0.9×	1.3k 0.3×	2.5k 0.7×	2.0k 1.1×	2.8k 1.6×	296	12.6k
Glenda MacQueen Canada	70	6.8k 1.7×	1.4k 0.4×	4.3k 1.2×	3.2k 1.7×	2.5k 1.4×	270	19.4k
Yvette I. Sheline United States	59	5.5k 1.4×	3.3k 0.9×	10.0k 2.8×	1.6k 0.9×	2.8k 1.6×	153	21.2k
Undine E. Lang Switzerland	54	2.2k 0.6×	2.2k 0.6×	2.6k 0.7×	2.6k 1.4×	2.6k 1.5×	377	17.4k
Shigenobu Kanba Japan	64	3.4k 0.8×	1.7k 0.4×	2.6k 0.7×	2.7k 1.4×	1.5k 0.9×	324	14.1k
Meryl A. Butters United States	62	5.6k 1.4×	1.6k 0.4×	3.9k 1.1×	1.8k 0.9×	830 0.5×	257	13.0k

Countries citing papers authored by Antonio Convit

Since Specialization

Citations

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

Fields of papers citing papers by Antonio Convit

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Antonio Convit

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

All Works

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20 of 20 papers shown

Sadler, Jennifer R., Gita Thapaliya, Liuyi Chen, et al.. (2023). Paediatric obesity and metabolic syndrome associations with cognition and the brain in youth: Current evidence and future directions. Pediatric Obesity. 18(8). e13042–e13042. 8 indexed citations

Parasoglou, Prodromos, Ricardo S. Osorio, Oleksandr Khegai, et al.. (2022). Phosphorus metabolism in the brain of cognitively normal midlife individuals at risk for Alzheimer's disease. SHILAP Revista de lepidopterología. 2(4). 100121–100121. 8 indexed citations

Brown, Ryan, Azadeh Sharafi, Jill M. Slade, et al.. (2021). Lower extremity MRI following 10-week supervised exercise intervention in patients with diabetic peripheral neuropathy. BMJ Open Diabetes Research & Care. 9(1). e002312–e002312. 7 indexed citations

London, Stephanie J., Karen E. Yates, & Antonio Convit. (2018). Differential Effects of Insulin Resistance on Frontal Lobe Related Cognitive Function in Adolescents and Adults. 6(4). 108. 1 indexed citations

Sweat, Victoria, et al.. (2017). Obese Adolescents Show Reduced Cognitive Processing Speed Compared with Healthy Weight Peers. Childhood Obesity. 13(3). 190–196. 36 indexed citations

Yau, Po Lai, et al.. (2017). Insulin Sensitivity and Inflammation Mediate the Impact of Fitness on Cerebrovascular Health in Adolescents. Childhood Obesity. 13(3). 205–212. 5 indexed citations

Varga, Andrew W., Akifumi Kishi, Esther Fischer, et al.. (2016). Effects of aging on slow-wave sleep dynamics and human spatial navigational memory consolidation. Neurobiology of Aging. 42. 142–149. 76 indexed citations

Zhang, Jianping, Jeffrey J. Weiss, Lawrence Maayan, et al.. (2012). Effectiveness of a Cognitive Behavioral Weight Management Intervention in Obese Patients With Psychotic Disorders Compared to Patients With Nonpsychotic Disorders or No Psychiatric Disorders. Journal of Clinical Psychopharmacology. 32(4). 458–464. 10 indexed citations

Sweat, Victoria, et al.. (2012). Obesity, Metabolic Syndrome, and Insulin Resistance in Urban High School Students of Minority Race/Ethnicity. Archives of Pediatrics and Adolescent Medicine. 166(11). 1030–1030. 37 indexed citations

10.

Cohen, Jessica I., Karen E. Yates, Michelle Duong, & Antonio Convit. (2011). Obesity, orbitofrontal structure and function are associated with food choice: a cross-sectional study. BMJ Open. 1(2). e000175–e000175. 61 indexed citations

11.

Bruehl, Hannah, Victoria Sweat, Aziz Tirsi, Bina Shah, & Antonio Convit. (2011). Obese Adolescents with Type 2 Diabetes Mellitus Have Hippocampal and Frontal Lobe Volume Reductions. Neuroscience & Medicine. 2(1). 34–42. 70 indexed citations

12.

Abramson, Charles I., et al.. (2010). The application of the first order system transfer function for fitting The California Verbal Learning Test Learning Curve. Journal of the International Neuropsychological Society. 16(3). 443–452. 9 indexed citations

13.

Yau, Po Lai, Wai Tsui, Victoria Sweat, et al.. (2009). Emotional and neutral declarative memory impairments and associated white matter microstructural abnormalities in adults with type 2 diabetes. Psychiatry Research Neuroimaging. 174(3). 223–230. 69 indexed citations

14.

Bruehl, Hannah, Oliver T. Wolf, Victoria Sweat, et al.. (2009). Modifiers of cognitive function and brain structure in middle-aged and elderly individuals with type 2 diabetes mellitus. Brain Research. 1280. 186–194. 189 indexed citations

15.

Wolf, Oliver T., Isabel Dziobek, Pauline McHugh, et al.. (2005). Subjective memory complaints in aging are associated with elevated cortisol levels. Neurobiology of Aging. 26(10). 1357–1363. 50 indexed citations

16.

Lupien, Sonia, Mony J. de Leon, Susan De Santi, et al.. (1998). Cortisol levels during human aging predict hippocampal atrophy and memory deficits. Nature Neuroscience. 1(1). 69–73. 1269 indexed citations breakdown →

17.

Leon, Mony J. de, Antonio Convit, Susan DeSanti, et al.. (1995). THE HIPPOCAMPUS IN AGING AND ALZHEIMER'S DISEASE. Neuroimaging Clinics of North America. 5(1). 1–17. 11 indexed citations

18.

Convit, Antonio, et al.. (1994). Involuntary medication of patients who are incompetent to stand trial: a review of empirical studies.. PubMed. 22(4). 519–32. 6 indexed citations

19.

Convit, Antonio, et al.. (1993). Competency, Civil Commitment, and the Dangerousness of the Mentally III. Journal of Forensic Sciences. 38(6). 1460–1466. 6 indexed citations

20.

Convit, Antonio, et al.. (1993). Involuntary medication of patients who are incompetent to stand trial: a descriptive study of the New York experience with judicial review.. PubMed. 21(4). 529–45.

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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