Shikha Mishra
- Molecular Biology top 10%
- Cardiology and Cardiovascular Medicine top 5%
- Physiology
- Epidemiology
- Oncology
- Co-authors
- Joan Heller BrownDonald M. BersRonglih LiaoRodney H. FalkJian GuanCalum A. MacRaeElizabeth MurphyJeffery D. Molkentin
- Topics
- Cardiac electrophysiology and arrhythmias (6 papers)Protein Kinase Regulation and GTPase Signaling (5 papers)Cardiomyopathy and Myosin Studies (5 papers)
- Journals
- Journal of Biological ChemistryJournal of Clinical InvestigationSHILAP Revista de lepidopterología
- Partner nations
- United StatesIndiaItaly
In The Last Decade
Shikha Mishra
39 papers receiving 1.4k citations
Peers
Comparison fields: 5 of 103
- Molecular Biology 1.0k
- Cardiology and Cardiovascular Medicine 424
- Physiology 169
- Epidemiology 143
- Oncology 127
Countries citing papers authored by Shikha Mishra
This map shows the geographic impact of Shikha Mishra'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 Shikha Mishra with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Shikha Mishra more than expected).
Fields of papers citing papers by Shikha Mishra
This network shows the impact of papers produced by Shikha Mishra. 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 Shikha Mishra. The network helps show where Shikha Mishra may publish in the future.
Co-authorship network of co-authors of Shikha Mishra
This figure shows the co-authorship network connecting the top 25 collaborators of Shikha Mishra. A scholar is included among the top collaborators of Shikha Mishra 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 Shikha Mishra. Shikha Mishra is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 0 | |
| 2 | 0 | |
| 3 | 1 | |
| 4 | 1 | |
| 5 | 2 | |
| 6 | 0 | |
| 7 | 10 | |
| 8 | 55 | |
| 9 | 24 | |
| 10 | 16 | |
| 11 | 10 | |
| 12 | Review Paper of Image Compression | 3 |
| 13 | 103 | |
| 14 | 26 | |
| 15 | 55 | |
| 16 | 27 | |
| 17 | 48 | |
| 18 | 22 | |
| 19 | 308 | |
| 20 | 166 |
About Shikha Mishra
Shikha Mishra is a scholar working on Pharmaceutical Science, Filtration and Separation and Cardiology and Cardiovascular Medicine, having authored 45 papers that have together received 1.4k indexed citations. Recurring topics across this work include Cardiac electrophysiology and arrhythmias (6 papers), Protein Kinase Regulation and GTPase Signaling (5 papers) and Cardiomyopathy and Myosin Studies (5 papers). The work is most often cited by research in Cardiology and Cardiovascular Medicine (424 citations), Molecular Biology (1.0k citations) and Nephrology (83 citations). Shikha Mishra has collaborated with scholars based in United States, India and Italy. Frequent co-authors include Joan Heller Brown, Donald M. Bers, Ronglih Liao, Rodney H. Falk, Jian Guan, Calum A. MacRae, Elizabeth Murphy, Jeffery D. Molkentin, John L. Farber and Sanjeewa A. Goonasekera. Their work appears in journals such as Journal of Biological Chemistry, Journal of Clinical Investigation and SHILAP Revista de lepidopterología.
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.