Devika Tayal
Impact in
- Clinical Biochemistry top 5%
- Paraoxonase enzyme and polymorphisms
Papers in
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- Tuberculosis Research and Epidemiology 8
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- Pneumonia and Respiratory Infections 3
- Pneumocystis jirovecii pneumonia detection and treatment 2
- Co-authors
- V. Mallika (9 shared papers)Binita Goswami (9 shared papers)Nikhil Gupta (2 shared papers)Ranjna Chawla (4 shared papers)Vinod Kumar Gupta (4 shared papers)Sarika Arora (2 shared papers)Prerna Jain (5 shared papers)Rohit Sarin (4 shared papers)
In The Last Decade
Devika Tayal
21 papers receiving 300 citations
Peers
Comparison fields: 5 of 76
- Clinical Biochemistry 100
- Medical Laboratory Technology 8
- Statistics, Probability and Uncertainty 32
- Endocrinology, Diabetes and Metabolism 62
- Physiology 78
Countries citing papers authored by Devika Tayal
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
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.
All Works
Showing the 20 most-cited of 25 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2009 | 114 | |
| 2 | 2010 | 57 | |
| 3 | 2009 | 34 | |
| 4 | 2009 | 19 | |
| 5 | 2020 | 18 | |
| 6 | Role of homocysteine and lipoprotein (A) in atherosclerosis: An update | 2011 | 11 |
| 7 | 2018 | 11 | |
| 8 | 2013 | 10 | |
| 9 | 2011 | 7 | |
| 10 | 2024 | 6 | |
| 11 | Assessment of insulin resistance, dyslipidemia and inflammatory response in North Indian male patients with angiographically proven coronary artery disease. | 2011 | 6 |
| 12 | 2012 | 4 | |
| 13 | 2023 | 4 | |
| 14 | 2013 | 4 | |
| 15 | Evaluation of lipid profile in hypothyroid patients-our experience | 2008 | 3 |
| 16 | 2018 | 3 | |
| 17 | 2015 | 1 | |
| 18 | 2017 | 1 | |
| 19 | 2020 | 1 | |
| 20 | 2022 | 1 |
About Devika Tayal
Devika Tayal is a scholar working on Infectious Diseases, Epidemiology, Pulmonary and Respiratory Medicine, Immunology and Surgery, having authored 25 papers that have together received 316 indexed citations. Recurring topics across this work include Tuberculosis Research and Epidemiology (8 papers), Chronic Obstructive Pulmonary Disease (COPD) Research (4 papers), Thyroid Disorders and Treatments (3 papers), Pneumonia and Respiratory Infections (3 papers), Pneumocystis jirovecii pneumonia detection and treatment (2 papers), Clinical Laboratory Practices and Quality Control (2 papers), Renal function and acid-base balance (2 papers) and Thyroid Cancer Diagnosis and Treatment (2 papers). The work is most often cited by research in Clinical Biochemistry (100 citations), Medical Laboratory Technology (8 citations), Statistics, Probability and Uncertainty (32 citations), Endocrinology, Diabetes and Metabolism (62 citations) and Physiology (78 citations). Devika Tayal has collaborated with scholars based in India, Spain and Italy. Frequent co-authors include V. Mallika, Binita Goswami, Nikhil Gupta, Ranjna Chawla, Vinod Kumar Gupta, Sarika Arora, Prerna Jain, Rohit Sarin, Sanjay Tyagi and Yogesh Jain. Their work appears in journals such as Diabetes & Metabolic Syndrome Clinical Research & Reviews, International Journal of Microbiology Research, Pulmonology, Hormone Molecular Biology and Clinical Investigation 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.