Shivananda Nayak

698 total citations
42 papers, 534 citations indexed

About

Shivananda Nayak is a scholar working on Endocrinology, Diabetes and Metabolism, Epidemiology and Cardiology and Cardiovascular Medicine. According to data from OpenAlex, Shivananda Nayak has authored 42 papers receiving a total of 534 indexed citations (citations by other indexed papers that have themselves been cited), including 13 papers in Endocrinology, Diabetes and Metabolism, 11 papers in Epidemiology and 9 papers in Cardiology and Cardiovascular Medicine. Recurrent topics in Shivananda Nayak's work include Diabetes, Cardiovascular Risks, and Lipoproteins (8 papers), Adipokines, Inflammation, and Metabolic Diseases (7 papers) and Lipoproteins and Cardiovascular Health (4 papers). Shivananda Nayak is often cited by papers focused on Diabetes, Cardiovascular Risks, and Lipoproteins (8 papers), Adipokines, Inflammation, and Metabolic Diseases (7 papers) and Lipoproteins and Cardiovascular Health (4 papers). Shivananda Nayak collaborates with scholars based in Trinidad and Tobago, India and Jamaica. Shivananda Nayak's co-authors include Vinutha Bhat, S. L. Udupa, Andrew Adogwa, Pradeep Kumar Sahu, Senthilkumar Sivanesan, Sandeep Maharaj, Shreemathi S Mayya, Manjunath Hande, Arun G. Maiya and Jonas I. Addae and has published in prestigious journals such as SHILAP Revista de lepidopterología, BMJ Open and Epilepsy Research.

In The Last Decade

Shivananda Nayak

38 papers receiving 490 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Shivananda Nayak Trinidad and Tobago 12 108 99 85 67 67 42 534
H D Khanna India 12 150 1.4× 88 0.9× 87 1.0× 46 0.7× 51 0.8× 21 562
Mazen M. Ghaith Saudi Arabia 13 127 1.2× 154 1.6× 94 1.1× 24 0.4× 36 0.5× 33 663
Mohammad Mazani Iran 16 175 1.6× 118 1.2× 107 1.3× 16 0.2× 44 0.7× 58 676
H. Salman Iraq 17 153 1.4× 58 0.6× 47 0.6× 33 0.5× 31 0.5× 43 726
Farida Hussan Malaysia 12 132 1.2× 39 0.4× 82 1.0× 18 0.3× 36 0.5× 28 489
Demet Yılmazer Türkiye 14 123 1.1× 30 0.3× 214 2.5× 149 2.2× 142 2.1× 37 756
Yang Luo China 17 269 2.5× 39 0.4× 55 0.6× 43 0.6× 65 1.0× 47 917
Kishori Apte India 10 90 0.8× 30 0.3× 88 1.0× 40 0.6× 52 0.8× 32 391
Ayman El-Meghawry El-Kenawy Egypt 15 226 2.1× 81 0.8× 79 0.9× 11 0.2× 57 0.9× 61 711
Abubaker M. Hamad Saudi Arabia 15 118 1.1× 29 0.3× 71 0.8× 51 0.8× 55 0.8× 30 436

Countries citing papers authored by Shivananda Nayak

Since Specialization
Citations

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

Fields of papers citing papers by Shivananda Nayak

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Shivananda Nayak

This figure shows the co-authorship network connecting the top 25 collaborators of Shivananda Nayak. A scholar is included among the top collaborators of Shivananda Nayak 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 Shivananda Nayak. Shivananda Nayak 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.
Nayak, Shivananda, et al.. (2023). Evaluation of Clinical, Demographic, and Biochemical Profiles of Trinidadian Patients Undergoing Coronary Angiography. SHILAP Revista de lepidopterología. 59. 90–96. 1 indexed citations
2.
Nayak, Shivananda, et al.. (2023). Changes in Diabetes Management during the COVID-19 Pandemic in Trinidad: A Retrospecting Qualitative Study. SHILAP Revista de lepidopterología. 1(1). 37–40. 2 indexed citations
3.
4.
Sivanesan, Senthilkumar, et al.. (2019). Purine metabolites can indicate diabetes progression. Archives of Physiology and Biochemistry. 128(1). 87–91. 39 indexed citations
5.
Sahu, Pradeep Kumar, et al.. (2018). Medical students' perceptions of small group teaching effectiveness in hybrid curriculum. Journal of Education and Health Promotion. 7(1). 30–30. 32 indexed citations
6.
Addae, Jonas I., et al.. (2017). Effects of Jasminum multiflorum leaf extract on rodent models of epilepsy, motor coordination and anxiety. Epilepsy Research. 131. 58–63. 11 indexed citations
7.
Nayak, Shivananda, et al.. (2017). A case of spuriously high CK-MB: Contemplate beyond cardiac. Australasian Medical Journal. 10(10).
8.
Nayak, Shivananda. (2016). Prevalence of Diabetes, Obesity and Dyslipidaemia in Persons within High and Low Income Groups Living in North and South Trinidad. JOURNAL OF CLINICAL AND DIAGNOSTIC RESEARCH. 10(5). IC08–IC13. 8 indexed citations
9.
Nayak, Shivananda, et al.. (2015). Assessment of biomarkers in type 2 diabetic subjects without any complications. Diabetes & Metabolic Syndrome Clinical Research & Reviews. 10(1). 1–3. 1 indexed citations
10.
Nayak, Shivananda, et al.. (2014). Association between altered lipid profile, body mass index, low plasma adiponectin and varied blood pressure in Trinidadian type 2 diabetic and non-diabetic subjects.. PubMed. 66(9-10). 214–21. 1 indexed citations
11.
Nayak, Shivananda, et al.. (2013). Wound Healing Activity of the Fruit Skin of Punica granatum. Journal of Medicinal Food. 16(9). 857–861. 30 indexed citations
12.
13.
Seemungal, Terence, et al.. (2011). Inflammation In Diabetes Is Related Directly To Glycaemic Control And Inversely To FEV1. A1326–A1326. 1 indexed citations
14.
Nayak, Shivananda, et al.. (2009). Relationship between adiponectin, inflammatory markers and obesity in Type 2 diabetic and non-diabetic Trinidadians. Archives of Physiology and Biochemistry. 115(1). 28–33. 14 indexed citations
15.
Pereira, Lexley M Pinto, et al.. (2009). Do current standards of primary care of diabetes meet with guideline recommendations in Trinidad, West Indies?. Primary care diabetes. 3(2). 91–96. 4 indexed citations
16.
Nayak, Shivananda, et al.. (2009). Association of troponin T and altered lipid profile in patients admitted with acute myocardial infarction. Archives of Physiology and Biochemistry. 116(1). 21–27. 12 indexed citations
17.
Nayak, Shivananda, et al.. (2006). Evaluation of wound healing activity of Allamanda cathartica. L. and Laurus nobilis. L. extracts on rats. BMC Complementary and Alternative Medicine. 6(1). 12–12. 122 indexed citations
18.
Nayak, Shivananda. (2006). Influence of Ethanol Extract of Vinca rosea on Wound Healing in Diabetic Rats. OnLine Journal of Biological Sciences. 6(2). 51–55. 29 indexed citations
19.
Nayak, Shivananda, Arun G. Maiya, & Manjunath Hande. (2005). Influence of aerobic treadmill exercise on blood glucose homeostasis in noninsulin dependent diabetes mellitus patients. Indian Journal of Clinical Biochemistry. 20(1). 47–51. 18 indexed citations
20.
Nayak, Shivananda, Laxminarayana A Udupa, & S. L. Udupa. (2003). Altered antioxidant enzyme profile in wound healing. Indian Journal of Clinical Biochemistry. 18(1). 75–79. 7 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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