Nithiya Jesuthasan

665 total citations
16 papers, 371 citations indexed

About

Nithiya Jesuthasan is a scholar working on Infectious Diseases, Epidemiology and Health. According to data from OpenAlex, Nithiya Jesuthasan has authored 16 papers receiving a total of 371 indexed citations (citations by other indexed papers that have themselves been cited), including 4 papers in Infectious Diseases, 4 papers in Epidemiology and 3 papers in Health. Recurrent topics in Nithiya Jesuthasan's work include Respiratory viral infections research (4 papers), SARS-CoV-2 and COVID-19 Research (3 papers) and COVID-19 and Mental Health (3 papers). Nithiya Jesuthasan is often cited by papers focused on Respiratory viral infections research (4 papers), SARS-CoV-2 and COVID-19 Research (3 papers) and COVID-19 and Mental Health (3 papers). Nithiya Jesuthasan collaborates with scholars based in Italy, United States and United Kingdom. Nithiya Jesuthasan's co-authors include Federica Prinelli, Fulvio Adorni, Andrea Giacomelli, Stefania Maggi, Raffaele Antonelli Incalzi, Marianna Noale, Laura Uva, Marco de Curtis, Aleksandra Šojić and Davide Boido and has published in prestigious journals such as Cerebral Cortex, British Journal Of Nutrition and International Journal of Environmental Research and Public Health.

In The Last Decade

Nithiya Jesuthasan

15 papers receiving 365 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Nithiya Jesuthasan Italy 10 82 81 60 42 40 16 371
David Dai Hong Kong 14 131 1.6× 135 1.7× 78 1.3× 22 0.5× 30 0.8× 20 611
Zoltán Apa United States 7 156 1.9× 68 0.8× 44 0.7× 58 1.4× 12 0.3× 12 411
Khamis Abu‐Hasaballah United States 8 75 0.9× 48 0.6× 100 1.7× 46 1.1× 15 0.4× 12 387
Robert P. Fellows United States 11 170 2.1× 97 1.2× 42 0.7× 94 2.2× 11 0.3× 16 491
Ravi Prasad Varma India 11 114 1.4× 20 0.2× 51 0.8× 144 3.4× 42 1.1× 50 531
Garima Shukla India 11 90 1.1× 74 0.9× 66 1.1× 83 2.0× 17 0.4× 34 502
Yan Lan China 15 48 0.6× 42 0.5× 143 2.4× 29 0.7× 93 2.3× 41 546
Samuel Benveniste France 12 78 1.0× 64 0.8× 103 1.7× 68 1.6× 23 0.6× 17 470
Xi Han China 11 40 0.5× 22 0.3× 65 1.1× 46 1.1× 8 0.2× 24 444
Katarzyna Urbańska Poland 13 97 1.2× 24 0.3× 27 0.5× 17 0.4× 22 0.6× 18 315

Countries citing papers authored by Nithiya Jesuthasan

Since Specialization
Citations

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

Fields of papers citing papers by Nithiya Jesuthasan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Nithiya Jesuthasan

This figure shows the co-authorship network connecting the top 25 collaborators of Nithiya Jesuthasan. A scholar is included among the top collaborators of Nithiya Jesuthasan 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 Nithiya Jesuthasan. Nithiya Jesuthasan 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.
Bernini, Sara, Nithiya Jesuthasan, Alfredo Costa, et al.. (2024). Investigating the individual and joint effects of socioeconomic status and lifestyle factors on mild cognitive impairment in older Italians living independently in the community: results from the NutBrain study. The journal of nutrition health & aging. 28(3). 100040–100040. 6 indexed citations
2.
Bernini, Sara, et al.. (2024). Adherence to Mediterranean diet is inversely associated with depressive symptoms in older women: findings from the NutBrain Study. British Journal Of Nutrition. 131(11). 1892–1901. 3 indexed citations
3.
Ramusino, Matteo Cotta, Alfredo Costa, Sara Bernini, et al.. (2024). Polypharmacy, drug-drug interactions, anticholinergic burden and cognitive outcomes: a snapshot from a community-dwelling sample of older men and women in northern Italy. European Journal of Ageing. 21(1). 11–11. 8 indexed citations
4.
5.
Adorni, Fulvio, Nithiya Jesuthasan, Aleksandra Šojić, et al.. (2022). Epidemiology of SARS-CoV-2 Infection in Italy Using Real-World Data: Methodology and Cohort Description of the Second Phase of Web-Based EPICOVID19 Study. International Journal of Environmental Research and Public Health. 19(3). 1274–1274. 6 indexed citations
6.
Giacomelli, Andrea, Massimo Galli, Stefania Maggi, et al.. (2022). Influenza Vaccination Uptake in the General Italian Population during the 2020–2021 Flu Season: Data from the EPICOVID-19 Online Web-Based Survey. Vaccines. 10(2). 293–293. 18 indexed citations
7.
8.
Prinelli, Federica, Fabrizio Bianchi, Gaspare Drago, et al.. (2021). Association Between Smoking and SARS-CoV-2 Infection: Cross-sectional Study of the EPICOVID19 Internet-Based Survey. JMIR Public Health and Surveillance. 7(4). e27091–e27091. 22 indexed citations
9.
Prinelli, Federica, Caterina Trevisan, Marianna Noale, et al.. (2021). Sex- and gender-related differences linked to SARS-CoV-2 infection among the participants in the web-based EPICOVID19 survey: the hormonal hypothesis. Maturitas. 158. 61–69. 14 indexed citations
10.
Bastiani, Luca, Loredana Fortunato, Fabrizio Bianchi, et al.. (2020). Rapid COVID-19 Screening Based on Self-Reported Symptoms: Psychometric Assessment and Validation of the EPICOVID19 Short Diagnostic Scale. Journal of Medical Internet Research. 23(1). e23897–e23897. 28 indexed citations
11.
Noale, Marianna, Caterina Trevisan, Stefania Maggi, et al.. (2020). The Association between Influenza and Pneumococcal Vaccinations and SARS-Cov-2 Infection: Data from the EPICOVID19 Web-Based Survey. Vaccines. 8(3). 471–471. 58 indexed citations
12.
Prinelli, Federica, Nithiya Jesuthasan, Marco Severgnini, et al.. (2020). Exploring the relationship between Nutrition, gUT microbiota, and BRain AgINg in community-dwelling seniors: the Italian NutBrain population-based cohort study protocol. BMC Geriatrics. 20(1). 253–253. 11 indexed citations
13.
Battaglia, Cristina, Marco Venturin, Aleksandra Šojić, et al.. (2019). Candidate Genes and MiRNAs Linked to the Inverse Relationship Between Cancer and Alzheimer’s Disease: Insights From Data Mining and Enrichment Analysis. Frontiers in Genetics. 10. 846–846. 15 indexed citations
14.
Martin, Anne, Maurizio Caon, Fulvio Adorni, et al.. (2019). A Mobile Phone Intervention to Improve Obesity-Related Health Behaviors of Adolescents Across Europe: Iterative Co-Design and Feasibility Study. JMIR mhealth and uhealth. 8(3). e14118–e14118. 44 indexed citations
15.
Mrakic‐Sposta, Simona, Simona Gabriella Di Santo, Flaminia Franchini, et al.. (2018). Effects of Combined Physical and Cognitive Virtual Reality-Based Training on Cognitive Impairment and Oxidative Stress in MCI Patients: A Pilot Study. Frontiers in Aging Neuroscience. 10. 282–282. 101 indexed citations
16.
Boido, Davide, Nithiya Jesuthasan, Marco de Curtis, & Laura Uva. (2012). Network Dynamics During the Progression of Seizure-Like Events in the Hippocampal–Parahippocampal Regions. Cerebral Cortex. 24(1). 163–173. 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.

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