Shajith Anoop

1.2k total citations
30 papers, 754 citations indexed

About

Shajith Anoop is a scholar working on Endocrinology, Diabetes and Metabolism, Epidemiology and Physiology. According to data from OpenAlex, Shajith Anoop has authored 30 papers receiving a total of 754 indexed citations (citations by other indexed papers that have themselves been cited), including 17 papers in Endocrinology, Diabetes and Metabolism, 10 papers in Epidemiology and 10 papers in Physiology. Recurrent topics in Shajith Anoop's work include Diabetes, Cardiovascular Risks, and Lipoproteins (9 papers), Diabetes Management and Research (8 papers) and Liver Disease Diagnosis and Treatment (7 papers). Shajith Anoop is often cited by papers focused on Diabetes, Cardiovascular Risks, and Lipoproteins (9 papers), Diabetes Management and Research (8 papers) and Liver Disease Diagnosis and Treatment (7 papers). Shajith Anoop collaborates with scholars based in India, United States and Singapore. Shajith Anoop's co-authors include Anoop Misra, Amerta Ghosh, Ritesh Gupta, Ranil Jayawardena, Seema Gulati, Surya Prakash Bhatt, Nihal Thomas, Ravindra Mohan Pandey, Abhishek Vishnu and Rajendra Pradeepa and has published in prestigious journals such as PLoS ONE, Scientific Reports and Magnetic Resonance Imaging.

In The Last Decade

Shajith Anoop

28 papers receiving 736 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Shajith Anoop India 15 238 177 149 115 110 30 754
Gabriela Heiden Teló Brazil 15 357 1.5× 133 0.8× 96 0.6× 103 0.9× 109 1.0× 61 895
Mohammed E. Al‐Sofiani Saudi Arabia 12 172 0.7× 161 0.9× 75 0.5× 77 0.7× 88 0.8× 40 664
Neftalí Eduardo Antonio-Villa Mexico 16 206 0.9× 113 0.6× 206 1.4× 97 0.8× 60 0.5× 65 1.0k
Miyang Luo China 15 201 0.8× 123 0.7× 334 2.2× 68 0.6× 179 1.6× 45 896
Abdullah M. Alguwaihes Saudi Arabia 12 261 1.1× 65 0.4× 66 0.4× 64 0.6× 53 0.5× 31 612
Silvia Bettini Italy 15 92 0.4× 321 1.8× 132 0.9× 57 0.5× 62 0.6× 40 786
Noel Somasundaram Sri Lanka 14 241 1.0× 111 0.6× 112 0.8× 20 0.2× 93 0.8× 70 724
Rokhsareh Aghili Iran 17 287 1.2× 156 0.9× 117 0.8× 27 0.2× 134 1.2× 55 822
Abdullah Bennakhi Kuwait 16 197 0.8× 131 0.7× 270 1.8× 25 0.2× 75 0.7× 24 744

Countries citing papers authored by Shajith Anoop

Since Specialization
Citations

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

Fields of papers citing papers by Shajith Anoop

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Shajith Anoop

This figure shows the co-authorship network connecting the top 25 collaborators of Shajith Anoop. A scholar is included among the top collaborators of Shajith Anoop 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 Shajith Anoop. Shajith Anoop 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.
Anoop, Shajith, D. Banerjee, Felix Jebasingh, et al.. (2025). Follow-up of phenotype and metabolic changes in adult males living with HIV on combination antiretroviral therapy (CART) for a decade. Scientific Reports. 15(1). 25373–25373.
3.
Dietrich, Johannes W., Riddhi Dasgupta, Shajith Anoop, et al.. (2024). A novel simple disposition index (SPINA‐DI) from fasting insulin and glucose concentration as a robust measure of carbohydrate homeostasis. Journal of Diabetes. 16(9). e13525–e13525. 2 indexed citations
4.
Dietrich, Johannes W., Riddhi Dasgupta, Shajith Anoop, et al.. (2022). SPINA Carb: a simple mathematical model supporting fast in-vivo estimation of insulin sensitivity and beta cell function. Scientific Reports. 12(1). 17659–17659. 5 indexed citations
6.
Anoop, Shajith, et al.. (2021). Exocrine pancreatic insufficiency related fat malabsorption and its association with autonomic neuropathy in Asian Indians with type 2 diabetes mellitus. Diabetes & Metabolic Syndrome Clinical Research & Reviews. 15(5). 102273–102273. 6 indexed citations
7.
Ghosh, Amerta, et al.. (2021). High prevalence of post COVID-19 fatigue in patients with type 2 diabetes: A case-control study. Diabetes & Metabolic Syndrome Clinical Research & Reviews. 15(6). 102302–102302. 42 indexed citations
8.
Gupta, Ritesh, et al.. (2020). About 1/3rd of north Indian patients less than 50 years of age with type 2 diabetes have high pulse wave velocity indicating high risk of atherosclerosis. Diabetes & Metabolic Syndrome Clinical Research & Reviews. 14(6). 2205–2210. 4 indexed citations
9.
Ghosh, Amerta, et al.. (2020). Effects of nationwide lockdown during COVID-19 epidemic on lifestyle and other medical issues of patients with type 2 diabetes in north India. Diabetes & Metabolic Syndrome Clinical Research & Reviews. 14(5). 917–920. 195 indexed citations
10.
Anoop, Shajith, et al.. (2020). The triglyceride/glucose ratio is a reliable index of fasting insulin resistance: Observations from hyperinsulinaemic-euglycaemic clamp studies in young, normoglycaemic males from southern India. Diabetes & Metabolic Syndrome Clinical Research & Reviews. 14(6). 1719–1723. 8 indexed citations
11.
12.
Dasgupta, Riddhi, et al.. (2018). Bioimpedance analysis with a novel predictive equation - A reliable technique to estimate fat free mass in birth weight based cohorts of Asian Indian males. Diabetes & Metabolic Syndrome Clinical Research & Reviews. 13(1). 738–742. 5 indexed citations
13.
Anoop, Shajith, Anoop Misra, Surya Prakash Bhatt, Seema Gulati, & Harsh Mahajan. (2018). High fasting C-peptide levels and insulin resistance in non-lean & non-obese (BMI >19 to < 25 kg/m2) Asian Indians with type 2 diabetes are independently associated with high intra-abdominal fat and liver span. Diabetes & Metabolic Syndrome Clinical Research & Reviews. 13(1). 708–715. 16 indexed citations
15.
Thomas, Nihal, et al.. (2017). Indirect calorimetry: From bench to bedside. Indian Journal of Endocrinology and Metabolism. 21(4). 594–594. 56 indexed citations
16.
17.
Joseph, Mini, et al.. (2017). How Adequate are Macro- and Micronutrient Intake in Pregnant Women with Diabetes Mellitus? A Study from South India. The Journal of Obstetrics and Gynecology of India. 68(5). 400–407. 3 indexed citations
18.
Bhardwaj, Swati, Anoop Misra, Seema Gulati, et al.. (2017). A randomized controlled trial to evaluate the effects of high P rotein C omplete (l A cto) VE geta R ian (PACER) diet in non-diabetic obese Asian Indians in North India. Heliyon. 3(12). e00472–e00472. 15 indexed citations
19.
Misra, Anoop, Shajith Anoop, Seema Gulati, et al.. (2015). Body Fat Patterning, Hepatic Fat and Pancreatic Volume of Non-Obese Asian Indians with Type 2 Diabetes in North India: A Case-Control Study. PLoS ONE. 10(10). e0140447–e0140447. 53 indexed citations
20.
Anoop, Shajith, Anoop Misra, Swati Bhardwaj, & Seema Gulati. (2014). High body fat and low muscle mass are associated with increased arterial stiffness in Asian Indians in North India. Journal of Diabetes and its Complications. 29(1). 38–43. 25 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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