Geeta Ravindran
Impact in
- Developmental Neuroscience top 10%
- Neurogenesis and neuroplasticity mechanisms
- Genetics top 10%
- Mesenchymal stem cell research
Papers in
-
- Pluripotent Stem Cells Research 7
- CRISPR and Genetic Engineering 3
- Surgery 6
- Tissue Engineering and Regenerative Medicine 5
- Co-authors
- Rajarshi Pal (3 shared papers)Chandra Viswanathan (5 shared papers)Aparna Khanna (2 shared papers)Subhadra Dravida (1 shared paper)Firdos Alam Khan (1 shared paper)Rajendra P. Pangeni (1 shared paper)Kristina Aenlle (1 shared paper)Alison C. Bested (1 shared paper)
- Journals
- Biochemical and Biophysical Research Communications (1 paper)Cell Proliferation (1 paper)Cell Biology International (1 paper)Cancer Biotherapy and Radiopharmaceuticals (1 paper)Stem Cells and Development (1 paper)
- Partner nations
- IndiaUnited StatesSweden
In The Last Decade
Geeta Ravindran
12 papers receiving 313 citations
Geeta Ravindran's Hit Papers
Peers
Comparison fields: 5 of 62
- Developmental Neuroscience 37
- Genetics 73
- Cellular and Molecular Neuroscience 60
- Neurology 21
- Biological Psychiatry 6
Countries citing papers authored by Geeta Ravindran
This map shows the geographic impact of Geeta Ravindran'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 Geeta Ravindran with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Geeta Ravindran more than expected).
Fields of papers citing papers by Geeta Ravindran
This network shows the impact of papers produced by Geeta Ravindran. 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 Geeta Ravindran. The network helps show where Geeta Ravindran may publish in the future.
Co-authors
The 25 scholars most cited alongside Geeta Ravindran, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | Recent Research Trends in Neuroinflammatory and Neurodegenerative Disorders Hit paper breakdown → | 2024 | 59 |
| 2 | 2005 | 49 | |
| 3 | 2009 | 38 | |
| 4 | 2006 | 32 | |
| 5 | 2008 | 32 | |
| 6 | 2006 | 30 | |
| 7 | 2020 | 27 | |
| 8 | 2012 | 27 | |
| 9 | 2012 | 11 | |
| 10 | 2006 | 9 | |
| 11 | 2011 | 5 | |
| 12 | 2012 | 2 |
About Geeta Ravindran
Geeta Ravindran is a scholar working on Molecular Biology, Surgery, Genetics, Developmental Neuroscience and Hepatology, having authored 12 papers that have together received 321 indexed citations. Recurring topics across this work include Pluripotent Stem Cells Research (7 papers), Tissue Engineering and Regenerative Medicine (5 papers), Mesenchymal stem cell research (4 papers), CRISPR and Genetic Engineering (3 papers), Neurogenesis and neuroplasticity mechanisms (2 papers), Liver physiology and pathology (2 papers), Autism Spectrum Disorder Research (1 paper) and Amyotrophic Lateral Sclerosis Research (1 paper). The work is most often cited by research in Developmental Neuroscience (37 citations), Genetics (73 citations), Cellular and Molecular Neuroscience (60 citations), Neurology (21 citations) and Biological Psychiatry (6 citations). Geeta Ravindran has collaborated with scholars based in India, United States and Sweden. Frequent co-authors include Rajarshi Pal, Chandra Viswanathan, Aparna Khanna, Subhadra Dravida, Firdos Alam Khan, Rajendra P. Pangeni, Kristina Aenlle, Alison C. Bested, Theoharis C. Theoharides and Jessica R. Cohen. Their work appears in journals such as Biochemical and Biophysical Research Communications, Cell Proliferation, Cell Biology International, Cancer Biotherapy and Radiopharmaceuticals and Stem Cells 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.