Jay Sheth

950 total citations
27 papers, 441 citations indexed

About

Jay Sheth is a scholar working on Infectious Diseases, Modeling and Simulation and Pediatrics, Perinatology and Child Health. According to data from OpenAlex, Jay Sheth has authored 27 papers receiving a total of 441 indexed citations (citations by other indexed papers that have themselves been cited), including 13 papers in Infectious Diseases, 7 papers in Modeling and Simulation and 6 papers in Pediatrics, Perinatology and Child Health. Recurrent topics in Jay Sheth's work include SARS-CoV-2 and COVID-19 Research (11 papers), COVID-19 Clinical Research Studies (9 papers) and COVID-19 epidemiological studies (7 papers). Jay Sheth is often cited by papers focused on SARS-CoV-2 and COVID-19 Research (11 papers), COVID-19 Clinical Research Studies (9 papers) and COVID-19 epidemiological studies (7 papers). Jay Sheth collaborates with scholars based in India, Canada and United States. Jay Sheth's co-authors include Prabhat Jha, Marvin Hsiao, JS Thakur, Vidya A. Arankalle, Rahul Kulkarni, Anuradha S. Tripathy, Akhilesh Chandra Mishra, A. B. Sudeep, Babasaheb V. Tandale and R S Wadia and has published in prestigious journals such as The Lancet, SHILAP Revista de lepidopterología and Health Affairs.

In The Last Decade

Jay Sheth

22 papers receiving 425 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Jay Sheth India	8	241	181	54	52	51	27	441
S. Adè Benin	12	69 0.3×	293 1.6×	32 0.6×	19 0.4×	27 0.5×	63	517
Xanthi Dedoukou Greece	11	110 0.5×	131 0.7×	11 0.2×	42 0.8×	31 0.6×	17	447
Sally-Ann Ohene Ghana	12	60 0.2×	194 1.1×	39 0.7×	7 0.1×	16 0.3×	36	401
Rita Isaac India	11	57 0.2×	123 0.7×	30 0.6×	6 0.1×	57 1.1×	24	392
Enid J García-Rivera Puerto Rico	13	371 1.5×	276 1.5×	22 0.4×	3 0.1×	11 0.2×	37	660
Renzo Calderón-Anyosa United States	10	56 0.2×	48 0.3×	7 0.1×	16 0.3×	12 0.2×	25	469
Nuwadatta Subedi Nepal	9	36 0.1×	44 0.2×	15 0.3×	6 0.1×	34 0.7×	60	350
P D’Argenio Italy	11	48 0.2×	87 0.5×	8 0.1×	9 0.2×	11 0.2×	33	537
Gail Stennies United States	6	239 1.0×	33 0.2×	33 0.6×	12 0.2×	105 2.1×	9	480
Habip Almış Türkiye	9	49 0.2×	72 0.4×	59 1.1×	3 0.1×	14 0.3×	54	318

Countries citing papers authored by Jay Sheth

Since Specialization

Citations

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

Fields of papers citing papers by Jay Sheth

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Jay Sheth

This figure shows the co-authorship network connecting the top 25 collaborators of Jay Sheth. A scholar is included among the top collaborators of Jay Sheth 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 Jay Sheth. Jay Sheth 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

Prakash, Om, et al.. (2022). Immunoglobulin-G Antibodies against Severe Acute Respiratory Syndrome – Coronavirus-2 among Health-Care Workers. International Journal of Applied and Basic Medical Research. 12(1). 18–23. 1 indexed citations

Prakash, Om, et al.. (2022). COVID-Kavach-Based Seropositivity in the General Population of Ahmedabad: Just Before the Start of the Vaccination for the Elderly in India. Cureus. 14(3). e22759–e22759. 1 indexed citations

Prakash, Om, et al.. (2021). Assessing seropositivity for IgG antibodies against SARS-CoV-2 in Ahmedabad city of India: a cross-sectional study. BMJ Open. 11(1). e044101–e044101. 14 indexed citations

Prakash, Om, et al.. (2021). Population-based seropositivity for IgG antibodies against SARS-CoV-2 in Ahmedabad city. Journal of Family Medicine and Primary Care. 10(6). 2363–2368. 5 indexed citations

Prakash, Om, et al.. (2021). SARS-CoV2 IgG antibody: Seroprevalence among health care workers. Clinical Epidemiology and Global Health. 11. 100766–100766. 7 indexed citations

Prakash, Om, et al.. (2021). Seroprevalence of Immunoglobulin-G Antibody Among Confirm Cases of COVID-19. Cureus. 13(9). e17956–e17956. 1 indexed citations

Sheth, Jay, et al.. (2018). Students’ Feedback on the Process of Their Health Projects (PSBH Projects) under the Community Medicine Department. 8(1). 42–42.

Begum, Rehana, Prabha Sati, Rajesh Dikshit, et al.. (2017). Nationwide Mortality Studies To Quantify Causes Of Death: Relevant Lessons From India’s Million Death Study. Health Affairs. 36(11). 1887–1895. 42 indexed citations

Limaye, Dnyanesh, et al.. (2016). Prevalence of musculoskeletal disorders among dentists from Mumbai, India. Current Therapeutic Research. 78. S11–S11. 1 indexed citations

10.

Sheth, Jay, et al.. (2015). Evaluation of Temperature Monitoring System of Cold Chain at all Urban Health Centres (UHCs) of Ahmedabad Municipal Corporation (AMC) area.. 6(1). 41–45. 4 indexed citations

11.

Dare, Anna, Joshua S Ng-Kamstra, Jayadeep Patra, et al.. (2015). Deaths from acute abdominal conditions and geographical access to surgical care in India: a nationally representative spatial analysis. The Lancet Global Health. 3(10). e646–e653. 46 indexed citations

12.

Ng-Kamstra, Joshua S, Anna Dare, Jayadeep Patra, et al.. (2015). Deaths from acute abdominal conditions and geographic access to surgical care in India: a nationally representative population-based spatial analysis. The Lancet. 385. S32–S32. 9 indexed citations

13.

Aleksandrowicz, Lukasz, Varun Malhotra, Rajesh Dikshit, et al.. (2014). Performance criteria for verbal autopsy-based systems to estimate national causes of death: development and application to the Indian Million Death Study. BMC Medicine. 12(1). 21–21. 45 indexed citations

14.

Sheth, Jay, et al.. (2013). A study of knowledge, attitude & practice towards contraception among married women of reproductive age group having ≤2 Children residing in Vasna ward, Ahmedabad, Gujarat, India.. 4(2). 8–12. 4 indexed citations

15.

Patel, Vimal, et al.. (2013). Utilization Of Antenatal Care Services in The Gandhinagar (Rural) District, Gujarat. SHILAP Revista de lepidopterología. 1 indexed citations

16.

Sheth, Jay, et al.. (2013). Immunization status of 12-23 months children in rural Ahmedabad.. 4(1). 38–42. 4 indexed citations

17.

Sheth, Jay, et al.. (2013). UTILIZATION ASSESSMENT OF BASIC MATERNITY HEALTH SERVICES THROUGH MAMTA CARD IN RURAL AHMEDABAD. SHILAP Revista de lepidopterología. 4(1). 40–43.

18.

Hsiao, Marvin, Ajai K. Malhotra, JS Thakur, et al.. (2013). Road traffic injury mortality and its mechanisms in India: nationally representative mortality survey of 1.1 million homes. BMJ Open. 3(8). e002621–e002621. 83 indexed citations

19.

Tandale, Babasaheb V., Padmakar S. Sathe, Vidya A. Arankalle, et al.. (2009). Systemic involvements and fatalities during Chikungunya epidemic in India, 2006. Journal of Clinical Virology. 46(2). 145–149. 154 indexed citations

20.

Sheth, Jay. (2001). Message of WHO – 2001: Mental Health - Stop exclusion, Dare to care. 3(1). 3 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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