Dipika Tuteja
- Cardiology and Cardiovascular Medicine top 2%
- Molecular Biology top 10%
- Cellular and Molecular Neuroscience top 5%
- Biochemistry top 2%
- Endocrinology, Diabetes and Metabolism top 10%
- Co-authors
- Nipavan ChiamvimonvatValeriy TimofeyevYanfang XuZhao ZhangDanyan XuLing LüKathryn A. GlatterJ. Nilas Young
- Topics
- Ion channel regulation and function (12 papers)Cardiac electrophysiology and arrhythmias (11 papers)Cardiomyopathy and Myosin Studies (3 papers)
- Partner nations
- United StatesChinaIndia
In The Last Decade
Dipika Tuteja
21 papers receiving 1.5k citations
Peers
Comparison fields: 5 of 95
- Cardiology and Cardiovascular Medicine 965
- Molecular Biology 925
- Cellular and Molecular Neuroscience 285
- Biochemistry 270
- Endocrinology, Diabetes and Metabolism 187
Countries citing papers authored by Dipika Tuteja
This map shows the geographic impact of Dipika Tuteja'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 Dipika Tuteja with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Dipika Tuteja more than expected).
Fields of papers citing papers by Dipika Tuteja
This network shows the impact of papers produced by Dipika Tuteja. 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 Dipika Tuteja. The network helps show where Dipika Tuteja may publish in the future.
Co-authorship network of co-authors of Dipika Tuteja
This figure shows the co-authorship network connecting the top 25 collaborators of Dipika Tuteja. A scholar is included among the top collaborators of Dipika Tuteja 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 Dipika Tuteja. Dipika Tuteja is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 42 | |
| 2 | 84 | |
| 3 | 11 | |
| 4 | 79 | |
| 5 | 24 | |
| 6 | 170 | |
| 7 | 36 | |
| 8 | 203 | |
| 9 | 15 | |
| 10 | 190 | |
| 11 | 24 | |
| 12 | 6 | |
| 13 | 111 | |
| 14 | Differential isoform expression of small conductance Ca 2+ -activated K + channels, SK1, SK2 and SK3 channels in mouse atrial and ventricular myocytes | 2 |
| 15 | 34 | |
| 16 | 228 | |
| 17 | 29 | |
| 18 | 20 | |
| 19 | 50 | |
| 20 | 33 |
About Dipika Tuteja
Dipika Tuteja is a scholar working on Cardiology and Cardiovascular Medicine, Sensory Systems and Biochemistry, having authored 21 papers that have together received 1.6k indexed citations. Recurring topics across this work include Ion channel regulation and function (12 papers), Cardiac electrophysiology and arrhythmias (11 papers) and Cardiomyopathy and Myosin Studies (3 papers). The work is most often cited by research in Cardiology and Cardiovascular Medicine (965 citations), Biochemistry (270 citations) and Cellular and Molecular Neuroscience (285 citations). Dipika Tuteja has collaborated with scholars based in United States, China and India. Frequent co-authors include Nipavan Chiamvimonvat, Valeriy Timofeyev, Yanfang Xu, Zhao Zhang, Danyan Xu, Ling Lü, Kathryn A. Glatter, J. Nilas Young, Liping Nie and Jennifer Rodriguez. Their work appears in journals such as Proceedings of the National Academy of Sciences, The Lancet and Journal of Biological Chemistry.
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.