Sangita Kulathinal

1.2k total citations
59 papers, 864 citations indexed

About

Sangita Kulathinal is a scholar working on Statistics and Probability, Genetics and General Health Professions. According to data from OpenAlex, Sangita Kulathinal has authored 59 papers receiving a total of 864 indexed citations (citations by other indexed papers that have themselves been cited), including 19 papers in Statistics and Probability, 8 papers in Genetics and 7 papers in General Health Professions. Recurrent topics in Sangita Kulathinal's work include Statistical Methods and Bayesian Inference (12 papers), Statistical Distribution Estimation and Applications (11 papers) and Genetic Associations and Epidemiology (7 papers). Sangita Kulathinal is often cited by papers focused on Statistical Methods and Bayesian Inference (12 papers), Statistical Distribution Estimation and Applications (11 papers) and Genetic Associations and Epidemiology (7 papers). Sangita Kulathinal collaborates with scholars based in Finland, India and United States. Sangita Kulathinal's co-authors include Kari Kuulasmaa, Olli Saarela, Juha Karvanen, Dario Gasbarra, Annette J. Dobson, Hanna Tolonen, Kari Auranen, Elja Arjas, Ulrike Baum and Veikko Salomaa and has published in prestigious journals such as SHILAP Revista de lepidopterología, PLoS ONE and Clinical Infectious Diseases.

In The Last Decade

Sangita Kulathinal

55 papers receiving 825 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Sangita Kulathinal Finland 14 187 155 109 97 94 59 864
Barbra A. Dickerman United States 20 144 0.8× 115 0.7× 72 0.7× 44 0.5× 195 2.1× 46 1.4k
Pascale Tubert‐Bitter France 22 206 1.1× 251 1.6× 102 0.9× 35 0.4× 120 1.3× 70 1.8k
Jon Michael Gran Norway 17 117 0.6× 125 0.8× 165 1.5× 58 0.6× 141 1.5× 68 930
Edwin P. Martens Netherlands 12 249 1.3× 112 0.7× 184 1.7× 121 1.2× 53 0.6× 18 1.2k
David Todem United States 16 179 1.0× 119 0.8× 50 0.5× 49 0.5× 149 1.6× 60 1.5k
Wendy Visscher United States 12 67 0.4× 172 1.1× 216 2.0× 72 0.7× 112 1.2× 17 1.1k
Beate Wieseler Germany 20 125 0.7× 83 0.5× 44 0.4× 61 0.6× 284 3.0× 36 1.5k
Airlane Pereira Alencar Brazil 19 75 0.4× 424 2.7× 141 1.3× 38 0.4× 133 1.4× 79 1.1k
Luisa Zuccolo United Kingdom 21 75 0.4× 321 2.1× 48 0.4× 229 2.4× 279 3.0× 69 1.8k
Claire Keeble United Kingdom 12 88 0.5× 69 0.4× 83 0.8× 18 0.2× 103 1.1× 29 945

Countries citing papers authored by Sangita Kulathinal

Since Specialization
Citations

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

Fields of papers citing papers by Sangita Kulathinal

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Sangita Kulathinal

This figure shows the co-authorship network connecting the top 25 collaborators of Sangita Kulathinal. A scholar is included among the top collaborators of Sangita Kulathinal 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 Sangita Kulathinal. Sangita Kulathinal 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.
Rotkirch, Anna, et al.. (2025). Stable Marital Histories Predict Happiness and Health Across Educational Groups. European Journal of Population / Revue européenne de Démographie. 41(1). 12–12. 1 indexed citations
2.
Palmu, Arto A., Sangita Kulathinal, Kari Auranen, et al.. (2024). Development of Real-Time Surveillance for Serious Adverse Events in a Pragmatic Clinical Trial Using National Registers in Finland. Clinical Epidemiology. Volume 16. 901–915.
3.
Kulathinal, Sangita. (2023). Discussion of specifying prior distributions in reliability applications. Applied Stochastic Models in Business and Industry. 40(1). 66–68. 1 indexed citations
4.
Auranen, Kari, Sangita Kulathinal, Tommi Härkänen, et al.. (2023). Underreporting of SARS-CoV-2 infections during the first wave of the 2020 COVID-19 epidemic in Finland—Bayesian inference based on a series of serological surveys. PLoS ONE. 18(6). e0282094–e0282094. 2 indexed citations
5.
Kulathinal, Sangita, et al.. (2022). Analysing Subgroups and Treatment Discontinuation in a Finnish Cohort of Patients with Neovascular AMD. Ophthalmologica. 245(4). 358–367. 2 indexed citations
6.
Kulathinal, Sangita, et al.. (2022). Effects of technology-based interventions on dietary intake or anthropometrics among adolescents and adults in South Asia – A systematic review of intervention studies. Obesity Research & Clinical Practice. 16(3). 181–196. 2 indexed citations
7.
Baum, Ulrike, Sangita Kulathinal, Kari Auranen, & Hanna Nohynek. (2020). Effectiveness of 2 Influenza Vaccines in Nationwide Cohorts of Finnish 2-Year-Old Children in the Seasons 2015–2016 Through 2017–2018. Clinical Infectious Diseases. 71(8). e255–e261. 16 indexed citations
8.
Kulathinal, Sangita, et al.. (2019). Predicting utilization of healthcare services from individual disease trajectories using RNNs with multi-headed attention. Työväentutkimus Vuosikirja. 93–111. 2 indexed citations
9.
Kulathinal, Sangita, Bijoy Joseph, & Minna Säävälä. (2019). Mobile Helpline and Reversible Contraception: Lessons From a Controlled Before-and-After Study in Rural India. JMIR mhealth and uhealth. 7(8). e12672–e12672. 7 indexed citations
10.
Kulathinal, Sangita, et al.. (2015). Age at menarche and diet among adolescents in slums of Nashik, India. International Journal of Adolescent Medicine and Health. 27(4). 451–456. 10 indexed citations
11.
Saarela, Olli, Sangita Kulathinal, & Juha Karvanen. (2012). Secondary Analysis under Cohort Sampling Designs Using Conditional Likelihood. SHILAP Revista de lepidopterología. 2012. 1–37. 8 indexed citations
12.
Kulathinal, Sangita, et al.. (2011). Asymmetric type II compound Laplace distribution and its application to microarray gene expression. Computational Statistics & Data Analysis. 56(6). 1396–1404. 3 indexed citations
13.
Silander, Kaisa, Mervi Alanne, Kati Kristiansson, et al.. (2008). Gender Differences in Genetic Risk Profiles for Cardiovascular Disease. PLoS ONE. 3(10). e3615–e3615. 105 indexed citations
14.
Gupta, Rashi, Elja Arjas, Sangita Kulathinal, Andrew C. Thomas, & Petri Auvinen. (2008). Bayesian Hierarchical Model for Estimating Gene Expression Intensity Using Multiple Scanned Microarrays. PubMed. 2008. 1–11. 2 indexed citations
15.
Saarela, Olli & Sangita Kulathinal. (2007). Conditional Likelihood Inference in a Case-Cohort Design: An Application to Haplotype Analysis. The International Journal of Biostatistics. 3(1). Article 1–Article 1. 3 indexed citations
16.
Kulathinal, Sangita, et al.. (2007). Case-cohort design in practice – experiences from the MORGAM Project. PubMed. 4(1). 15–15. 95 indexed citations
17.
Dewan, Isha & Sangita Kulathinal. (2007). On Testing Dependence between Time to Failure and Cause of Failure when Causes of Failure Are Missing. PLoS ONE. 2(12). e1255–e1255. 7 indexed citations
18.
Tolonen, Hanna, et al.. (2006). Assessing the quality of risk factor survey data: lessons from the WHO MONICA Project. European Journal of Cardiovascular Prevention & Rehabilitation. 13(1). 104–114. 9 indexed citations
19.
Alanne, Mervi, Kirsi Auro, Riika Kilpikari, et al.. (2005). Risk Alleles of USF1 -Gene Predict Cardiovascular Disease of Women in Two Prospective Studies. PLoS Genetics. preprint(2006). e69–e69. 2 indexed citations
20.
Kulathinal, Sangita & Dario Gasbarra. (2002). Testing equality of cause-specific hazard rates corresponding to m competing risks among K groups. Lifetime Data Analysis. 8(2). 147–161. 18 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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