Shivani Ghaisas
- Molecular Biology top 10%
- Neurology top 2%
- Physiology top 5%
- Neurology top 2%
- Cellular and Molecular Neuroscience top 10%
- Co-authors
- Anumantha G. KanthasamyJoshua MaherVellareddy AnantharamHuajun JinArthi KanthasamyDilshan S. HarischandraDharmin RokadSouvarish Sarkar
- Topics
- Parkinson's Disease Mechanisms and Treatments (7 papers)Alzheimer's disease research and treatments (4 papers)Neuroinflammation and Neurodegeneration Mechanisms (4 papers)
- Cited by
- Biological PsychiatryNeurology
- Partner nations
- United States
In The Last Decade
Shivani Ghaisas
21 papers receiving 1.9k citations
Hit Papers
Peers
Comparison fields: 5 of 124
- Molecular Biology 936
- Neurology 443
- Physiology 377
- Neurology 356
- Cellular and Molecular Neuroscience 263
Countries citing papers authored by Shivani Ghaisas
This map shows the geographic impact of Shivani Ghaisas'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 Shivani Ghaisas with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Shivani Ghaisas more than expected).
Fields of papers citing papers by Shivani Ghaisas
This network shows the impact of papers produced by Shivani Ghaisas. 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 Shivani Ghaisas. The network helps show where Shivani Ghaisas may publish in the future.
Co-authorship network of co-authors of Shivani Ghaisas
This figure shows the co-authorship network connecting the top 25 collaborators of Shivani Ghaisas. A scholar is included among the top collaborators of Shivani Ghaisas 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 Shivani Ghaisas. Shivani Ghaisas is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 3 | |
| 2 | 54 | |
| 3 | 18 | |
| 4 | 17 | |
| 5 | 48 | |
| 6 | 133 | |
| 7 | 198 | |
| 8 | 38 | |
| 9 | 24 | |
| 10 | 41 | |
| 11 | 89 | |
| 12 | 223 | |
| 13 | 106 | |
| 14 | 25 | |
| 15 | 49 | |
| 16 | 86 | |
| 17 | 48 | |
| 18 | 73 | |
| 19 | Gut microbiome in health and disease: Linking the microbiome–gut–brain axis and environmental factors in the pathogenesis of systemic and neurodegenerative diseasesbreakdown → | 399 |
| 20 | 29 |
About Shivani Ghaisas
Shivani Ghaisas is a scholar working on Neurology, Neurology and Health, Toxicology and Mutagenesis, having authored 21 papers that have together received 1.9k indexed citations. Recurring topics across this work include Parkinson's Disease Mechanisms and Treatments (7 papers), Alzheimer's disease research and treatments (4 papers) and Neuroinflammation and Neurodegeneration Mechanisms (4 papers). The work is most often cited by research in Biological Psychiatry (137 citations), Neurology (356 citations) and Neurology (443 citations). Shivani Ghaisas has collaborated with scholars based in United States. Frequent co-authors include Anumantha G. Kanthasamy, Joshua Maher, Vellareddy Anantharam, Huajun Jin, Arthi Kanthasamy, Dilshan S. Harischandra, Dharmin Rokad, Souvarish Sarkar, Gary Zenitsky and Nikhil Panicker. Their work appears in journals such as Science, The Journal of Experimental Medicine and Environmental Health Perspectives.
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.