Anuj Maheshwari

1.7k total citations
42 papers, 474 citations indexed

About

Anuj Maheshwari is a scholar working on Endocrinology, Diabetes and Metabolism, Cardiology and Cardiovascular Medicine and Public Health, Environmental and Occupational Health. According to data from OpenAlex, Anuj Maheshwari has authored 42 papers receiving a total of 474 indexed citations (citations by other indexed papers that have themselves been cited), including 23 papers in Endocrinology, Diabetes and Metabolism, 11 papers in Cardiology and Cardiovascular Medicine and 10 papers in Public Health, Environmental and Occupational Health. Recurrent topics in Anuj Maheshwari's work include Diabetes Management and Research (9 papers), Diabetes, Cardiovascular Risks, and Lipoproteins (9 papers) and Blood Pressure and Hypertension Studies (8 papers). Anuj Maheshwari is often cited by papers focused on Diabetes Management and Research (9 papers), Diabetes, Cardiovascular Risks, and Lipoproteins (9 papers) and Blood Pressure and Hypertension Studies (8 papers). Anuj Maheshwari collaborates with scholars based in India, United States and United Kingdom. Anuj Maheshwari's co-authors include Rajeev Gupta, Arvind Gupta, Banshi Saboo, Prakash Deedwania, Vijay Achari, Krishna Kumar Sharma, Jitendra Kumar Singh, Sunil Gupta, Arthur Asirvatham and Soneil Guptha and has published in prestigious journals such as SHILAP Revista de lepidopterología, PLoS ONE and Diabetes.

In The Last Decade

Anuj Maheshwari

32 papers receiving 444 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Anuj Maheshwari India 10 206 166 110 74 71 42 474
Navin R. Bindraban Netherlands 12 119 0.6× 247 1.5× 128 1.2× 59 0.8× 61 0.9× 16 547
Rasaaq Adebayo Nigeria 13 103 0.5× 224 1.3× 122 1.1× 72 1.0× 55 0.8× 41 510
Vijay Achari India 7 146 0.7× 113 0.7× 137 1.2× 34 0.5× 63 0.9× 15 377
Mukesh Sarna India 8 291 1.4× 173 1.0× 141 1.3× 47 0.6× 107 1.5× 13 573
Esayas Haregot Hilawe Japan 9 175 0.8× 90 0.5× 172 1.6× 35 0.5× 53 0.7× 17 518
Ramfis Nieto‐Martínez United States 12 209 1.0× 117 0.7× 208 1.9× 62 0.8× 106 1.5× 57 637
Suraya Abdul-Razak Malaysia 12 140 0.7× 90 0.5× 60 0.5× 88 1.2× 20 0.3× 41 394
Jacqueline Ponzo Uruguay 11 79 0.4× 100 0.6× 133 1.2× 26 0.4× 66 0.9× 25 390
Martín Rosas-Peralta Mexico 9 107 0.5× 107 0.6× 229 2.1× 41 0.6× 43 0.6× 52 507
Michael O. Balogun Nigeria 11 103 0.5× 248 1.5× 119 1.1× 23 0.3× 51 0.7× 48 501

Countries citing papers authored by Anuj Maheshwari

Since Specialization
Citations

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

Fields of papers citing papers by Anuj Maheshwari

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Anuj Maheshwari

This figure shows the co-authorship network connecting the top 25 collaborators of Anuj Maheshwari. A scholar is included among the top collaborators of Anuj Maheshwari 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 Anuj Maheshwari. Anuj Maheshwari 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.
Maheshwari, Anuj, Amit Gupta, Amrit Kaur, et al.. (2025). May Measurement Month 2022: an analysis of blood pressure screening results from India. European Heart Journal Supplements. 27(Supplement_7). vii37–vii40.
2.
Tewari, Jay, et al.. (2025). Artificial intelligence for diabetes management – a review. 12(1). 24–32.
3.
Maheshwari, Anuj, et al.. (2025). A Call for a Modern Satyagraha Against Metabolic Syndrome. Clinical Diabetology. 14(1). 50–55.
4.
5.
Chawla, Manoj, Sunil Jain, AG Unnikrishnan, et al.. (2025). Research Society for the Study of Diabetes in India (RSSDI) multidisciplinary expert consensus recommendations on role of oral fluid, electrolytes, and energy management in persons with diabetes. International Journal of Diabetes in Developing Countries. 45(4). 803–814.
6.
Kapoor, Nitin, et al.. (2025). Digital foundations for health equity: Rethinking primary care through the Ayushman Bharat digital mission. Journal of Family Medicine and Primary Care. 14(7). 2605–2607.
7.
Tewari, Jay, et al.. (2025). Association between antihypertensive drug use and the risk of depression: a systematic review and network meta-analysis. Journal of Human Hypertension. 39(4). 246–253.
8.
Maheshwari, Anuj, Shalini Jaggi, Manoj Chawla, et al.. (2024). Expert consensus recommendations on the evaluation and management of hypoglycemia in diabetes: DGENius Group Diabetes India. SHILAP Revista de lepidopterología. 15(1). 38–62.
9.
Tewari, Jay, et al.. (2024). Safety and Efficacy of Remogliflozin in People With Type 2 Diabetes Mellitus: A Systematic Review and Meta-Analysis. Cureus. 16(8). e66145–e66145. 3 indexed citations
10.
Maheshwari, Anuj, et al.. (2024). Decoding the Genetic Blueprint: Advancing Personalized Medicine in Type 2 Diabetes through Pharmacogenomics. SHILAP Revista de lepidopterología. 13(6). 386–396. 2 indexed citations
11.
Singh, Ram B., et al.. (2023). The twelve fundamental dimensions of a high quality Indo-Mediterranean diet. Scripta Medica. 54(1). 1–7. 2 indexed citations
12.
Maheshwari, Anuj. (2023). Insights on C-peptide in diabetes. 6(2). 63–65. 1 indexed citations
13.
14.
Patil, Mansi, Arun Pulikkottil Jose, Arun More, et al.. (2021). May Measurement Month 2019: an analysis of blood pressure screening results from India. European Heart Journal Supplements. 23(Supplement_B). B73–B76. 3 indexed citations
15.
Sadikot, S.M., Ashok Kumar Das, John Wilding, et al.. (2017). Consensus recommendations on exploring effective solutions for the rising cost of diabetes. Diabetes & Metabolic Syndrome Clinical Research & Reviews. 11(2). 141–147. 7 indexed citations
16.
Gupta, Rajeev, Krishna Kumar Sharma, Arvind Gupta, et al.. (2015). Geographic epidemiology of cardiometabolic risk factors in middle class urban residents in India: cross–sectional study. Journal of Global Health. 5(1). 10411–10411. 17 indexed citations
17.
Deedwania, Prakash, Rajeev Gupta, Krishna Kumar Sharma, et al.. (2014). High prevalence of metabolic syndrome among urban subjects in India: A multisite study. Diabetes & Metabolic Syndrome Clinical Research & Reviews. 8(3). 156–161. 41 indexed citations
18.
Guptha, Soneil, Rajeev Gupta, Prakash Deedwania, et al.. (2014). Cholesterol lipoproteins and prevalence of dyslipidemias in urban Asian Indians: A cross sectional study. Indian Heart Journal. 66(3). 280–288. 39 indexed citations
19.
Maheshwari, Anuj, et al.. (2013). Periodontal disease and type 1 diabetes mellitus: Associations with glycemic control and complications: An Indian perspective. Diabetes & Metabolic Syndrome Clinical Research & Reviews. 7(2). 61–63. 17 indexed citations
20.
Gupta, Rajeev, Rajeev Gupta, Prakash Deedwania, et al.. (2012). Association of Educational, Occupational and Socioeconomic Status with Cardiovascular Risk Factors in Asian Indians: A Cross-Sectional Study. PLoS ONE. 7(8). e44098–e44098. 103 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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