Suresh Chandran

1.2k total citations
62 papers, 676 citations indexed

About

Suresh Chandran is a scholar working on Endocrinology, Diabetes and Metabolism, Surgery and Epidemiology. According to data from OpenAlex, Suresh Chandran has authored 62 papers receiving a total of 676 indexed citations (citations by other indexed papers that have themselves been cited), including 21 papers in Endocrinology, Diabetes and Metabolism, 17 papers in Surgery and 12 papers in Epidemiology. Recurrent topics in Suresh Chandran's work include Diabetes Management and Research (17 papers), Chronic Disease Management Strategies (8 papers) and Diabetes and associated disorders (8 papers). Suresh Chandran is often cited by papers focused on Diabetes Management and Research (17 papers), Chronic Disease Management Strategies (8 papers) and Diabetes and associated disorders (8 papers). Suresh Chandran collaborates with scholars based in United Kingdom, Singapore and United States. Suresh Chandran's co-authors include Hardeep Uppal, Rahul Potluri, D. Gordon, Peter Timms, Benjamin Pei Zhi Cherng, Daphne Gardner, Lee‐Ling Lim, Jeyakantha Ratnasingam, Weng Kit Lye and Alexander Tan and has published in prestigious journals such as PLoS ONE, Diabetes and Scientific Reports.

In The Last Decade

Suresh Chandran

54 papers receiving 657 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Suresh Chandran United Kingdom 12 247 151 140 110 82 62 676
Ahmed Altibi United States 19 229 0.9× 169 1.1× 192 1.4× 71 0.6× 112 1.4× 58 1.2k
Ian Louis Ross South Africa 17 335 1.4× 177 1.2× 65 0.5× 70 0.6× 126 1.5× 51 790
Audra Boscoe United States 14 95 0.4× 213 1.4× 154 1.1× 45 0.4× 122 1.5× 29 955
C Cave United Kingdom 11 195 0.8× 83 0.5× 53 0.4× 51 0.5× 236 2.9× 14 792
Michelle Schmiegelow Denmark 17 136 0.6× 158 1.0× 391 2.8× 23 0.2× 95 1.2× 34 810
Tatiana Helena Rech Brazil 15 86 0.3× 201 1.3× 42 0.3× 55 0.5× 117 1.4× 42 642
Miguel Sampedro‐Núñez Spain 13 239 1.0× 88 0.6× 20 0.1× 111 1.0× 121 1.5× 50 699
Alpesh Goyal India 13 285 1.2× 204 1.4× 30 0.2× 105 1.0× 92 1.1× 85 688
Kenan Köse Türkiye 16 103 0.4× 174 1.2× 60 0.4× 43 0.4× 125 1.5× 44 687
Gi Hyeon Seo South Korea 18 313 1.3× 228 1.5× 39 0.3× 84 0.8× 140 1.7× 59 859

Countries citing papers authored by Suresh Chandran

Since Specialization
Citations

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

Fields of papers citing papers by Suresh Chandran

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Suresh Chandran

This figure shows the co-authorship network connecting the top 25 collaborators of Suresh Chandran. A scholar is included among the top collaborators of Suresh Chandran 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 Suresh Chandran. Suresh Chandran 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.
Cheng, Ching‐Yu, et al.. (2025). Obesity negatively impacts corneal nerves in patients with diabetes mellitus. Eye and Vision. 12(1). 17–17. 1 indexed citations
2.
Chandran, Suresh, et al.. (2024). Case report: A novel HNF1A variant linked to gestational diabetes, congenital hyperinsulinism, and diazoxide hypersensitivity. Frontiers in Endocrinology. 15. 1471596–1471596.
3.
Chandran, Suresh, et al.. (2024). Fulminant type 1 diabetes, an underrecognized and unique subtype of type 1 diabetes: A case series from Singapore. Journal of Diabetes Investigation. 15(6). 786–789.
4.
Gardner, Daphne, et al.. (2024). The Cost-Effectiveness of an Advanced Hybrid Closed-Loop System Compared to Standard Management of Type 1 Diabetes in a Singapore Setting. Diabetes Technology & Therapeutics. 26(5). 324–334. 7 indexed citations
5.
Yoon, Sungwon, Hendra Goh, Phong Ching Lee, et al.. (2024). Assessing the Utility, Impact, and Adoption Challenges of an Artificial Intelligence–Enabled Prescription Advisory Tool for Type 2 Diabetes Management: Qualitative Study. JMIR Human Factors. 11. e50939–e50939. 4 indexed citations
6.
7.
Chandran, Suresh, Peter Jacob, & Pratik Choudhary. (2020). Baseline Glucose Variability and Interweek Variability Affects the Time to Stability of Continuous Glucose Monitoring-Derived Glycemic Indices. Diabetes Technology & Therapeutics. 22(12). 937–942. 8 indexed citations
8.
Mann, Jake P., Paul Carter, Matthew J. Armstrong, et al.. (2020). Hospital admission with non-alcoholic fatty liver disease is associated with increased all-cause mortality independent of cardiovascular risk factors. PLoS ONE. 15(10). e0241357–e0241357. 8 indexed citations
9.
Chandran, Suresh, et al.. (2020). Subacute thyroiditis associated with COVID-19. BMJ Case Reports. 13(8). e237336–e237336. 93 indexed citations
10.
Chandran, Suresh, et al.. (2019). Urolithiasis and mineral profile in Gir calves and its control measure. International Journal of Chemical Studies. 7(4). 1787–1790.
11.
Chandran, Suresh, Robert A. Vigersky, Andreas Thomas, et al.. (2019). Role of Composite Glycemic Indices: A Comparison of the Comprehensive Glucose Pentagon Across Diabetes Types and HbA1c Levels. Diabetes Technology & Therapeutics. 22(2). 103–111. 9 indexed citations
12.
Ziff, Oliver J., Paul R. Carter, Hardeep Uppal, et al.. (2017). The interplay between atrial fibrillation and heart failure on long-term mortality and length of stay: Insights from the, United Kingdom ACALM registry. International Journal of Cardiology. 252. 117–121. 34 indexed citations
13.
Loudon, Brodie, et al.. (2016). Impact of cardiovascular risk factors and disease on length of stay and mortality in patients with acute coronary syndromes. International Journal of Cardiology. 220. 745–749. 14 indexed citations
14.
Carter, Paul, Andrew Carter, Jennifer Reynolds, et al.. (2016). 5 The Impact of Psychiatric Comorbidities on the Length of Hospital Stay in Patients with Heart Failure. A4–A5. 1 indexed citations
15.
16.
Schoepf, Dieter, Hardeep Uppal, Rahul Potluri, Suresh Chandran, & Reinhard Heun. (2014). Comorbidity and its relevance on general hospital based mortality in major depressive disorder: A naturalistic 12-year follow-up in general hospital admissions. Journal of Psychiatric Research. 52. 28–35. 24 indexed citations
17.
Uppal, Hardeep, et al.. (2014). 90 Predictors of Mortality in Patients with Hypertrophic Cardiomyopathy- A Hospital Admissions Study: 2000-2013. Heart. 100(Suppl 3). A52.1–A52. 1 indexed citations
18.
Chandran, Suresh, et al.. (2011). Thyrotoxic periodic paralysis. Indian Journal of Endocrinology and Metabolism. 15(6). 147–147. 7 indexed citations
19.
Timms, Peter, et al.. (2001). Peripheral blood level alterations of TIMP‐1, MMP‐2 and MMP‐9 in patients with Type 1 diabetes. Diabetic Medicine. 18(10). 777–780. 100 indexed citations
20.
Chandran, Suresh. (1998). A trial of baby check scoring system to identify high-risk infants in a polyclinic in Oman. Journal of Tropical Pediatrics. 44(4). 218–221. 1 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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