Devika Tayal

22 papers receiving 312 citations

Peers

Devika Tayal
Comparison fields: 5 of 69
  • Clinical Biochemistry 96
  • Medical Laboratory Technology 6
  • Endocrinology, Diabetes and Metabolism 59
  • Physiology 71
  • Statistics, Probability and Uncertainty 20
Replace Vibhasha Chand with:
Vibhasha Chand Australia
Dimitra Kalimanovska‐Oštrić Serbia
Dace Hartmane Latvia
Sura Al Zoubi Jordan
J.P. Charmes France
Gerard Baiges‐Gayà Spain
Yuanhao Wu China
Jorge Andrade‐Sierra Mexico
Rajesh Kakkar India
Dhara Patel India
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Citations per year

Countries citing papers authored by Devika Tayal

Since Specialization
Citations

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

Fields of papers citing papers by Devika Tayal

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 24 scholars most cited alongside Devika Tayal, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Devika Tayal Line = papers co-authored together Devika Tayal links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 25 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2009117
2 201058
3 200934
4 200920
5 202019
6 201812
7
Role of homocysteine and lipoprotein (A) in atherosclerosis: An update
201111
8 201310
9 20249
10 20117
11
Assessment of insulin resistance, dyslipidemia and inflammatory response in North Indian male patients with angiographically proven coronary artery disease.
20116
12 20125
13 20234
14 20134
15
Evaluation of lipid profile in hypothyroid patients-our experience
20083
16 20183
17 20171
18 20221
19 20231
20 20151

About Devika Tayal

Devika Tayal is a scholar working on Infectious Diseases, Pulmonary and Respiratory Medicine, Epidemiology, Immunology and Endocrinology, Diabetes and Metabolism, having authored 25 papers that have together received 328 indexed citations. Recurring topics across this work include Tuberculosis Research and Epidemiology (7 papers), Thyroid Disorders and Treatments (3 papers), Chronic Obstructive Pulmonary Disease (COPD) Research (3 papers), Pneumonia and Respiratory Infections (2 papers), Thyroid Cancer Diagnosis and Treatment (2 papers), Clinical Laboratory Practices and Quality Control (2 papers), Renal function and acid-base balance (2 papers) and Folate and B Vitamins Research (1 paper). The work is most often cited by research in Clinical Biochemistry (96 citations), Medical Laboratory Technology (6 citations), Endocrinology, Diabetes and Metabolism (59 citations), Physiology (71 citations) and Statistics, Probability and Uncertainty (20 citations). Devika Tayal has collaborated with scholars based in India, Italy and United Kingdom. Frequent co-authors include V. Mallika, Binita Goswami, Nikhil Gupta, Ranjna Chawla, Vinod Kumar Gupta, Sarika Arora, Prerna Jain, Rohit Sarin, Sanjay Tyagi and Giovanni Battista Migliori. Their work appears in journals such as Hormone Molecular Biology and Clinical Investigation, Pulmonology, International Journal of Microbiology Research, Diabetes & Metabolic Syndrome Clinical Research & Reviews and Clinica Chimica Acta.

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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