Sunil Kumar Nanda

536 total citations
32 papers, 363 citations indexed

About

Sunil Kumar Nanda is a scholar working on Surgery, Nephrology and Endocrinology, Diabetes and Metabolism. According to data from OpenAlex, Sunil Kumar Nanda has authored 32 papers receiving a total of 363 indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Surgery, 6 papers in Nephrology and 6 papers in Endocrinology, Diabetes and Metabolism. Recurrent topics in Sunil Kumar Nanda's work include Renal function and acid-base balance (4 papers), Diabetes, Cardiovascular Risks, and Lipoproteins (4 papers) and Clinical Laboratory Practices and Quality Control (4 papers). Sunil Kumar Nanda is often cited by papers focused on Renal function and acid-base balance (4 papers), Diabetes, Cardiovascular Risks, and Lipoproteins (4 papers) and Clinical Laboratory Practices and Quality Control (4 papers). Sunil Kumar Nanda collaborates with scholars based in India, United States and United Kingdom. Sunil Kumar Nanda's co-authors include Lopamudra Ray, K. Ravichandran, Satyaki Ganguly, Rajlaxmi Sarangi, Anirban Chatterjee, Mary Daniel, Amanjot Kaur, Simmi Kharb, K. Ravichandran and Ariarathinam Newtonraj and has published in prestigious journals such as SHILAP Revista de lepidopterología, Metabolic Syndrome and Related Disorders and Journal of obstetrics and gynaecology research.

In The Last Decade

Sunil Kumar Nanda

28 papers receiving 336 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Sunil Kumar Nanda India 11 116 93 83 69 38 32 363
Hangkai Huang China 12 246 2.1× 150 1.6× 77 0.9× 69 1.0× 55 1.4× 33 425
Le Sun China 12 147 1.3× 74 0.8× 92 1.1× 88 1.3× 97 2.6× 35 505
Yi-Tong Ma China 11 74 0.6× 81 0.9× 40 0.5× 114 1.7× 104 2.7× 33 363
Rong Luo China 11 83 0.7× 93 1.0× 30 0.4× 72 1.0× 68 1.8× 24 458
Sachiko Tamba Japan 9 186 1.6× 77 0.8× 90 1.1× 38 0.6× 83 2.2× 21 345
Cuma Bülent Gul Türkiye 13 152 1.3× 87 0.9× 42 0.5× 93 1.3× 57 1.5× 51 479
Özgür Mehmet Yis Türkiye 11 61 0.5× 41 0.4× 58 0.7× 62 0.9× 34 0.9× 26 425
Sabaheta Hasić Bosnia and Herzegovina 9 58 0.5× 53 0.6× 46 0.6× 39 0.6× 63 1.7× 43 321
Vivian Tan Canada 11 172 1.5× 44 0.5× 38 0.5× 112 1.6× 20 0.5× 33 440

Countries citing papers authored by Sunil Kumar Nanda

Since Specialization
Citations

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

Fields of papers citing papers by Sunil Kumar Nanda

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Sunil Kumar Nanda. 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 Sunil Kumar Nanda. The network helps show where Sunil Kumar Nanda may publish in the future.

Co-authorship network of co-authors of Sunil Kumar Nanda

This figure shows the co-authorship network connecting the top 25 collaborators of Sunil Kumar Nanda. A scholar is included among the top collaborators of Sunil Kumar Nanda 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 Sunil Kumar Nanda. Sunil Kumar Nanda 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.
Srinivasan, R., et al.. (2024). SHBG and Insulin Resistance - Nexus revisited. Bioinformation. 20(8). 816–821. 1 indexed citations
2.
Nanda, Sunil Kumar, et al.. (2023). Effect of Statins on the Inflammatory Markers in Patients with Coronary Artery Disease. SHILAP Revista de lepidopterología. 15(4). 498–502. 4 indexed citations
3.
Nanda, Sunil Kumar, et al.. (2022). Nell1 as Target Antigen for Mercury Related Membranous Nephropathy: A Case Report. Indian Journal of Nephrology. 32(5). 502–502. 5 indexed citations
4.
5.
Daniel, Mary, et al.. (2020). Role of vitamin D‐calcium supplementation on metabolic profile and oxidative stress in gestational diabetes mellitus: A randomized controlled trial. Journal of obstetrics and gynaecology research. 47(3). 1016–1022. 21 indexed citations
6.
Newtonraj, Ariarathinam, et al.. (2020). Cardiovascular risk using WHO-ISH chart among Diabetes and Hypertensive patients in a remote rural area of South India. SHILAP Revista de lepidopterología. 9(8). 4145–4145. 1 indexed citations
7.
Ray, Lopamudra, K. Ravichandran, & Sunil Kumar Nanda. (2018). Comparison of Lipid Accumulation Product Index with Body Mass Index and Waist Circumference as a Predictor of Metabolic Syndrome in Indian Population. Metabolic Syndrome and Related Disorders. 16(5). 240–245. 64 indexed citations
8.
Ganguly, Satyaki, et al.. (2018). Lipid accumulation product index as visceral obesity indicator in psoriasis: A Case–control Study. Indian Journal of Dermatology. 63(2). 136–136. 16 indexed citations
9.
Nanda, Sunil Kumar, et al.. (2017). Correlation of Friedewald′s calculated low-density lipoprotein cholesterol levels with direct low-density lipoprotein cholesterol levels in a tertiary care hospital. International Journal of Applied and Basic Medical Research. 7(1). 57–57. 11 indexed citations
10.
Nanda, Sunil Kumar, et al.. (2017). Evaluation of leptin as a marker of insulin resistance in type 2 diabetes mellitus. International Journal of Applied and Basic Medical Research. 7(3). 176–176. 46 indexed citations
11.
Nanda, Sunil Kumar. (2016). Is dilution important: Factitious Total Creatine Kinase in case of Rhabdomyolysis?. JOURNAL OF CLINICAL AND DIAGNOSTIC RESEARCH. 10(10). BD01–BD02. 4 indexed citations
12.
Ray, Lopamudra, et al.. (2016). High atherogenic index of plasma in subclinical hypothyroidism: Implications in assessment of cardiovascular disease risk. Indian Journal of Endocrinology and Metabolism. 20(5). 656–656. 17 indexed citations
13.
Ray, Lopamudra, Sunil Kumar Nanda, Anirban Chatterjee, Rajlaxmi Sarangi, & Satyaki Ganguly. (2015). A comparative study of serum aminotransferases in chronic kidney disease with and without end-stage renal disease: Need for new reference ranges. International Journal of Applied and Basic Medical Research. 5(1). 31–31. 66 indexed citations
14.
Nanda, Sunil Kumar. (2015). Agreement of Arterial Sodium and Arterial Potassium Levels with Venous Sodium and Venous Potassium in Patients Admitted to Intensive Care Unit. JOURNAL OF CLINICAL AND DIAGNOSTIC RESEARCH. 9(2). BC28–30. 10 indexed citations
15.
Nanda, Sunil Kumar. (2014). Validation of Method Performance of pH, PCO2 , PO2 , Na+, K+ of Cobas b121 ABG Analyser. JOURNAL OF CLINICAL AND DIAGNOSTIC RESEARCH. 8(6). CC05–7. 1 indexed citations
16.
Nanda, Sunil Kumar. (2013). Factitious Biochemical Reports which are Caused Due to Paraproteinaemia in Multiple Myeloma – A Case Report. SHILAP Revista de lepidopterología. 7(2). 350–2. 3 indexed citations
17.
Nanda, Sunil Kumar. (2013). Quantitative Application of Sigma Metrics in Medical Biochemistry. SHILAP Revista de lepidopterología. 7(12). 2689–91. 39 indexed citations
18.
Nanda, Sunil Kumar, et al.. (2011). Comparison of biochemical and pathological markers in neonates with sepsis and neonates without sepsis. 2 indexed citations
19.
Kharb, Simmi, Amanjot Kaur, & Sunil Kumar Nanda. (2010). Comparison of Cord Blood Atherogenic Index in Males and Females. 4(1). 35–38. 3 indexed citations
20.
Nanda, Sunil Kumar, et al.. (2009). Plasma lactate as prognostic marker of septic shock with acute respiratory distress syndrome. Indian Journal of Clinical Biochemistry. 24(4). 433–435. 8 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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