Arun Nanditha
About
Arun Nanditha is a scholar working on Endocrinology, Diabetes and Metabolism, General Health Professions and Cardiology and Cardiovascular Medicine.
According to data from OpenAlex, Arun Nanditha has authored 38 papers receiving a total of 1.3k indexed citations (citations by other indexed papers that have themselves been cited), including 30 papers in Endocrinology, Diabetes and Metabolism, 8 papers in General Health Professions and 7 papers in Cardiology and Cardiovascular Medicine. Recurrent topics in Arun Nanditha's work include Diabetes, Cardiovascular Risks, and Lipoproteins (18 papers), Diabetes Management and Research (16 papers) and Diabetes Management and Education (10 papers). Arun Nanditha is often cited by papers focused on Diabetes, Cardiovascular Risks, and Lipoproteins (18 papers), Diabetes Management and Research (16 papers) and Diabetes Management and Education (10 papers). Arun Nanditha collaborates with scholars based in India, United Kingdom and United States. Arun Nanditha's co-authors include Ambady Ramachandran, Chamukuttan Snehalatha, Ananth Samith Shetty, Juliana C.N. Chan, Jonathan E. Shaw, Ronald C.W., Paul Zimmet, Priscilla Susairaj, Kee Seng Chia and Sundaram Selvam and has published in prestigious journals such as SHILAP Revista de lepidopterología, Diabetes Care and Scientific Reports.
In The Last Decade
Arun Nanditha
38 papers receiving 1.3k citations
Hit Papers
Peers — A (Enhanced Table)
Peers by citation overlap · career bar shows stage (early→late) cites · hero ref
| Name | h | Career | Trend | Papers | Cites | |||||
|---|---|---|---|---|---|---|---|---|---|---|
| Arun Nanditha India | 16 | 659 | 350 | 207 | 206 | 198 | 38 | 1.3k | ||
| Karla I. Galavíz United States | 16 | 449 0.7× | 309 0.9× | 157 0.8× | 286 1.4× | 290 1.5× | 46 | 1.2k | ||
| Ram Jagannathan United States | 19 | 770 1.2× | 219 0.6× | 217 1.0× | 174 0.8× | 224 1.1× | 73 | 1.6k | ||
| Vera Sagalova Germany | 7 | 676 1.0× | 176 0.5× | 263 1.3× | 133 0.6× | 175 0.9× | 9 | 1.4k | ||
| Esther Heesemann Germany | 2 | 676 1.0× | 155 0.4× | 260 1.3× | 127 0.6× | 175 0.9× | 4 | 1.3k | ||
| Puhong Zhang China | 22 | 289 0.4× | 287 0.8× | 269 1.3× | 376 1.8× | 185 0.9× | 108 | 1.6k | ||
| M M Engelgau United States | 8 | 833 1.3× | 282 0.8× | 327 1.6× | 232 1.1× | 213 1.1× | 8 | 1.5k | ||
| Till Seuring Luxembourg | 8 | 493 0.7× | 151 0.4× | 216 1.0× | 113 0.5× | 117 0.6× | 19 | 985 | ||
| Jamaiyah Haniff Malaysia | 22 | 472 0.7× | 173 0.5× | 252 1.2× | 239 1.2× | 117 0.6× | 58 | 1.4k | ||
| Simon J. Griffin United Kingdom | 13 | 543 0.8× | 130 0.4× | 169 0.8× | 252 1.2× | 188 0.9× | 19 | 1.1k |
Countries citing papers authored by Arun Nanditha
Since
Specialization
Citations
This map shows the geographic impact of Arun Nanditha'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 Arun Nanditha with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Arun Nanditha more than expected).
Fields of papers citing papers by Arun Nanditha
Since
Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences
This network shows the impact of papers produced by Arun Nanditha. 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 Arun Nanditha. The network helps show where Arun Nanditha may publish in the future.
Co-authorship network of co-authors of Arun Nanditha
This figure shows the co-authorship network connecting the top 25 collaborators of Arun Nanditha. A scholar is included among the top collaborators of Arun Nanditha 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 Arun Nanditha. Arun Nanditha is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
1.
Raghavan, Arun, et al.. (2022). Improvement in glycaemic control in patients with type 2 diabetes with treatment using an interactive mobile application – A pilot study from India. Primary care diabetes. 16(6). 844–848.
2.
Vinitha, Ramachandran, Chamukuttan Snehalatha, Priscilla Susairaj, et al.. (2022). Serum and salivary adipokines in type 2 diabetes – Results of a pilot study in India. Diabetes & Metabolic Syndrome Clinical Research & Reviews. 16(7). 102536–102536.
3.
Nanditha, Arun, Priscilla Susairaj, Arun Raghavan, et al.. (2022). Concordance in incidence of diabetes among persons with prediabetes detected using either oral glucose tolerance test or glycated haemoglobin. Primary care diabetes. 16(3). 440–444.
4.
Nanditha, Arun, Priscilla Susairaj, Arun Raghavan, et al.. (2021). Secular trends in cardiovascular risk factors among urban and rural populations in Tamil Nadu, India – An ancillary analysis of the STRiDE-I study. Diabetes Research and Clinical Practice. 178. 108930–108930.
5.
Susairaj, Priscilla, Chamukuttan Snehalatha, Arun Nanditha, et al.. (2021). Analysis of an Indian diabetes prevention programme on association of adipokines and a hepatokine with incident diabetes. Scientific Reports. 11(1). 20327–20327.
6.
Raghavan, Arun, Arun Nanditha, Priscilla Susairaj, et al.. (2021). Profile and prognosis of patients hospitalized for COVID-19 virus infection with and without diabetes – An observational study from South India. Diabetes & Metabolic Syndrome Clinical Research & Reviews. 15(4). 102143–102143.
7.
Raghavan, Arun, Arun Nanditha, Priscilla Susairaj, et al.. (2020). The Profile of Clinically Diagnosed New Type 2 Diabetes among Asian Indians. 4(3).
8.
Raghavan, Arun, Arun Nanditha, Ramachandran Vinitha, et al.. (2020). Trend in the clinical profile of type 2 diabetes in India - Study from a diabetes care centre in South India. Diabetes & Metabolic Syndrome Clinical Research & Reviews. 14(6). 1851–1857.
9.
Vinitha, Ramachandran, Arun Nanditha, Chamukuttan Snehalatha, et al.. (2019). Effectiveness of mobile phone text messaging in improving glycaemic control among persons with newly detected type 2 diabetes. Diabetes Research and Clinical Practice. 158. 107919–107919.
10.
Susairaj, Priscilla, Chamukuttan Snehalatha, Arun Raghavan, et al.. (2019). Cut-off Value of Random Blood Glucose among Asian Indians for Preliminary Screening of Persons with Prediabetes and Undetected Type 2 Diabetes Defined by the Glycosylated Haemoglobin Criteria. PubMed. 1(2). 53–58.
11.
Nanditha, Arun, Chamukuttan Snehalatha, Priscilla Susairaj, et al.. (2019). Secular TRends in DiabEtes in India (STRiDE–I): Change in Prevalence in 10 Years Among Urban and Rural Populations in Tamil Nadu. Diabetes Care. 42(3). 476–485.
12.
Nanditha, Arun, Chamukuttan Snehalatha, Arun Raghavan, et al.. (2018). The post-trial analysis of the Indian SMS diabetes prevention study shows persistent beneficial effects of lifestyle intervention. Diabetes Research and Clinical Practice. 142. 213–221.
13.
Thomson, Hazel, Nick Oliver, Ian F. Godsland, et al.. (2018). Protocol for a clinical trial of text messaging in addition to standard care versus standard care alone in prevention of type 2 diabetes through lifestyle modification in India and the UK. BMC Endocrine Disorders. 18(1). 63–63.
14.
Selvam, Sundaram, N. Murugesan, Chamukuttan Snehalatha, et al.. (2017). Health education on diabetes and other non-communicable diseases imparted to teachers shows a cascading effect. A study from Southern India. Diabetes Research and Clinical Practice. 125. 20–28.
15.
Jayashree, Muralidharan, et al.. (2016). Evaluation of efficacy of amniotic membrane in preventing failures in external dacryocystorhinostomy. Indian Journal of Clinical and Experimental Ophthalmology. 2(4). 312–317.
16.
Vinitha, Ramachandran, Ram Jagannathan, Chamukuttan Snehalatha, et al.. (2015). Adiponectin, leptin, interleukin-6 and HbA1c in the prediction of incident type 2 diabetes: A nested case–control study in Asian Indian men with impaired glucose tolerance. Diabetes Research and Clinical Practice. 109(2). 340–346.
17.
Jagannathan, Ram, Sundaram Selvam, Chamukuttan Snehalatha, et al.. (2014). Improvement in diet habits, independent of physical activity helps to reduce incident diabetes among prediabetic Asian Indian men. Diabetes Research and Clinical Practice. 106(3). 491–495.
18.
Ramachandran, Ambady, Chamukuttan Snehalatha, Ram Jagannathan, et al.. (2013). Effectiveness of mobile phone messaging in prevention of type 2 diabetes by lifestyle modification in men in India: a prospective, parallel-group, randomised controlled trial. The Lancet Diabetes & Endocrinology. 1(3). 191–198.
19.
Ramachandran, Ambady, et al.. (2012). Obesity in Asia – is it different from rest of the world. Diabetes/Metabolism Research and Reviews. 28(s2). 47–51.
20.
Ramachandran, Ambady, Arun Nanditha, Ananth Samith Shetty, & Chamukuttan Snehalatha. (2010). Efficacy of Primary Prevention Interventions When Fasting and Postglucose Dysglycemia Coexist. Diabetes Care. 33(10). 2164–2168.
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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