Elangovan Nirmal

3.8k total citations
7 papers, 348 citations indexed

About

Elangovan Nirmal is a scholar working on Endocrinology, Diabetes and Metabolism, Epidemiology and Health Information Management. According to data from OpenAlex, Elangovan Nirmal has authored 7 papers receiving a total of 348 indexed citations (citations by other indexed papers that have themselves been cited), including 5 papers in Endocrinology, Diabetes and Metabolism, 4 papers in Epidemiology and 2 papers in Health Information Management. Recurrent topics in Elangovan Nirmal's work include Diabetes, Cardiovascular Risks, and Lipoproteins (5 papers), Obesity, Physical Activity, Diet (2 papers) and Global Public Health Policies and Epidemiology (2 papers). Elangovan Nirmal is often cited by papers focused on Diabetes, Cardiovascular Risks, and Lipoproteins (5 papers), Obesity, Physical Activity, Diet (2 papers) and Global Public Health Policies and Epidemiology (2 papers). Elangovan Nirmal collaborates with scholars based in India and United States. Elangovan Nirmal's co-authors include Shashank Joshi, Mohan Deepa, Viswanathan Mohan, Rajendra Pradeepa, Ranjit Mohan Anjana, Deepak Shukla, Ashok Kumar Das, Radhakrishnan Subashini, Sri Venkata Madhu and Anil Bhansali and has published in prestigious journals such as PLoS ONE, The Lancet Diabetes & Endocrinology and Diabetes Technology & Therapeutics.

In The Last Decade

Elangovan Nirmal

6 papers receiving 328 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Elangovan Nirmal India	4	212	108	76	61	45	7	348
Enas A Enas United States	7	213 1.0×	145 1.3×	92 1.2×	112 1.8×	40 0.9×	8	421
Arthur Asirvatham India	9	247 1.2×	69 0.6×	49 0.6×	115 1.9×	52 1.2×	27	434
Mohamadreza Neishaboury Iran	7	153 0.7×	38 0.4×	107 1.4×	77 1.3×	25 0.6×	20	389
Robin Maskey Nepal	9	158 0.7×	26 0.2×	89 1.2×	67 1.1×	51 1.1×	48	390
Faria Afsana Bangladesh	7	159 0.8×	39 0.4×	79 1.0×	38 0.6×	20 0.4×	41	296
Pamela M Pelizzari United States	4	138 0.7×	98 0.9×	57 0.8×	167 2.7×	74 1.6×	5	469
Chidum E. Ezenwaka Trinidad and Tobago	14	296 1.4×	49 0.5×	141 1.9×	39 0.6×	22 0.5×	50	477
Hanan Jambi Saudi Arabia	9	143 0.7×	37 0.3×	83 1.1×	51 0.8×	13 0.3×	20	303
Gholamreza Yousefzadeh Iran	11	129 0.6×	68 0.6×	68 0.9×	56 0.9×	9 0.2×	24	356
Divya Nair Haridas India	6	177 0.8×	43 0.4×	69 0.9×	26 0.4×	11 0.2×	11	310

Countries citing papers authored by Elangovan Nirmal

Since Specialization

Citations

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

Fields of papers citing papers by Elangovan Nirmal

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Elangovan Nirmal

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

All Works

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7 of 7 papers shown

Verma, Madhur, Sanjay Kalra, Mohan Deepa, et al.. (2025). Understanding Epidemiology of Physical Activity and Sedentary Behaviour Among Adults in Haryana: Insights from the ICMR-INDIAB Study [ICMR-INDIAB-19]. Advances in Therapy. 42(7). 3265–3284.

Kalra, Sanjay, Ranjit Mohan Anjana, Madhur Verma, et al.. (2024). Urban–Rural Differences in the Prevalence of Diabetes Among Adults in Haryana, India: The ICMR-INDIAB Study (ICMR-INDIAB-18). Diabetes Therapy. 15(7). 1597–1613. 7 indexed citations

Anjana, Ranjit Mohan, Elangovan Nirmal, Rajendra Pradeepa, et al.. (2023). Challenges in implementing nationwide epidemiological studies on metabolic non-communicable diseases in low-income and middle-income countries. The Lancet Diabetes & Endocrinology. 11(12). 889–891. 2 indexed citations

Deepa, Mohan, Elangovan Nirmal, Ulagamathesan Venkatesan, et al.. (2023). Evaluation of Madras Diabetes Research Foundation-Indian Diabetes Risk Score in detecting undiagnosed diabetes in the Indian population: Results from the Indian Council of Medical Research-INdia DIABetes population-based study (INDIAB-15). International Journal of Microbiology Research. 157(4). 239–249. 4 indexed citations

Pradeepa, Rajendra, Radhakrishnan Subashini, Ulagamathesan Venkatesan, et al.. (2021). Effect of internal migration on diabetes and metabolic abnormalities in India - The ICMR-INDIAB study. Journal of Diabetes and its Complications. 35(12). 108051–108051. 2 indexed citations

Unnikrishnan, Ranjit, Ranjit Mohan Anjana, Mohan Deepa, et al.. (2014). Glycemic Control Among Individuals with Self-Reported Diabetes in India—The ICMR–INDIAB Study. Diabetes Technology & Therapeutics. 16(9). 596–603. 82 indexed citations

Joshi, Shashank, Ranjit Mohan Anjana, Mohan Deepa, et al.. (2014). Prevalence of Dyslipidemia in Urban and Rural India: The ICMR–INDIAB Study. PLoS ONE. 9(5). e96808–e96808. 251 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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