Varsha Shukla
- Molecular Biology
- Physiology top 10%
- Physiology top 1%
- Cellular and Molecular Neuroscience top 10%
- Genetics top 10%
- Co-authors
- Harish C. PantSantosh K. MishraSusan SkuntzNiranjana D. AminPhilip GrantHerbert ZimmermannNorbert BraunSashi Kesavapany
- Topics
- Genetics and Neurodevelopmental Disorders (10 papers)Alzheimer's disease research and treatments (7 papers)Cancer-related Molecular Pathways (5 papers)
- Partner nations
- United StatesIndiaChina
In The Last Decade
Varsha Shukla
31 papers receiving 1.1k citations
Peers
Comparison fields: 5 of 106
- Molecular Biology 418
- Physiology 299
- Physiology 224
- Cellular and Molecular Neuroscience 206
- Genetics 203
Countries citing papers authored by Varsha Shukla
This map shows the geographic impact of Varsha Shukla'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 Varsha Shukla with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Varsha Shukla more than expected).
Fields of papers citing papers by Varsha Shukla
This network shows the impact of papers produced by Varsha Shukla. 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 Varsha Shukla. The network helps show where Varsha Shukla may publish in the future.
Co-authorship network of co-authors of Varsha Shukla
This figure shows the co-authorship network connecting the top 25 collaborators of Varsha Shukla. A scholar is included among the top collaborators of Varsha Shukla 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 Varsha Shukla. Varsha Shukla is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 22 | |
| 2 | 2 | |
| 3 | 1 | |
| 4 | 9 | |
| 5 | 11 | |
| 6 | 6 | |
| 7 | 31 | |
| 8 | 13 | |
| 9 | 35 | |
| 10 | 14 | |
| 11 | 13 | |
| 12 | 154 | |
| 13 | 103 | |
| 14 | 223 | |
| 15 | Pharmacognostical evaluation of stem of Cissus repanda Vahl, a folk medicine. | 4 |
| 16 | 26 | |
| 17 | Molecular characterization and antibiogram analysis of bacterial community from River Narmada, India. | 1 |
| 18 | Ecto-nucleotidases, molecular properties and functional impact | 28 |
| 19 | 182 | |
| 20 | 78 |
About Varsha Shukla
Varsha Shukla is a scholar working on Developmental Neuroscience, Physiology and Genetics, having authored 31 papers that have together received 1.1k indexed citations. Recurring topics across this work include Genetics and Neurodevelopmental Disorders (10 papers), Alzheimer's disease research and treatments (7 papers) and Cancer-related Molecular Pathways (5 papers). The work is most often cited by research in Physiology (224 citations), Developmental Neuroscience (109 citations) and Biological Psychiatry (52 citations). Varsha Shukla has collaborated with scholars based in United States, India and China. Frequent co-authors include Harish C. Pant, Santosh K. Mishra, Susan Skuntz, Niranjana D. Amin, Philip Grant, Herbert Zimmermann, Norbert Braun, Sashi Kesavapany, Simon C. Robson and Jean Sévigny. Their work appears in journals such as Journal of Biological Chemistry, PLoS ONE and Development.
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.