Indrani Datta
Impact in
- Genetics top 5%
- Mesenchymal stem cell research
- Developmental Neuroscience top 5%
- Neurogenesis and neuroplasticity mechanisms
Papers in
-
- Pluripotent Stem Cells Research 9
- Physiology 15
- Sarcoidosis and Beryllium Toxicity Research 8
- Co-authors
- Ramesh Bhonde (5 shared papers)Albert M. Levin (16 shared papers)Benjamin A. Rybicki (13 shared papers)Ramesh Bhonde (7 shared papers)Shailendra Giri (8 shared papers)Laila Poisson (10 shared papers)Indra Adrianto (10 shared papers)Courtney G. Montgomery (9 shared papers)
- Journals
- Stem Cell Research (4 papers)PLoS ONE (4 papers)Cytotherapy (4 papers)Molecular Neurobiology (3 papers)Genetic Epidemiology (3 papers)
- Partner nations
- United StatesIndiaUnited Kingdom
In The Last Decade
Indrani Datta
83 papers receiving 1.4k citations
Peers
Comparison fields: 5 of 101
- Genetics 220
- Developmental Neuroscience 73
- Physiology 326
- Cancer Research 144
- Neurology 106
Countries citing papers authored by Indrani Datta
This map shows the geographic impact of Indrani Datta'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 Indrani Datta with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Indrani Datta more than expected).
Fields of papers citing papers by Indrani Datta
This network shows the impact of papers produced by Indrani Datta. 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 Indrani Datta. The network helps show where Indrani Datta may publish in the future.
Co-authors
The 25 scholars most cited alongside Indrani Datta, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 87 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2012 | 100 | |
| 2 | 2015 | 83 | |
| 3 | 2015 | 63 | |
| 4 | 2011 | 59 | |
| 5 | 2017 | 55 | |
| 6 | 2012 | 55 | |
| 7 | 2014 | 54 | |
| 8 | 2021 | 48 | |
| 9 | 2014 | 47 | |
| 10 | 2022 | 44 | |
| 11 | 2016 | 42 | |
| 12 | 2002 | 40 | |
| 13 | 2017 | 36 | |
| 14 | 2010 | 33 | |
| 15 | 2015 | 33 | |
| 16 | 2019 | 31 | |
| 17 | 2016 | 30 | |
| 18 | 2014 | 28 | |
| 19 | 2017 | 27 | |
| 20 | 2020 | 27 |
About Indrani Datta
Indrani Datta is a scholar working on Molecular Biology, Physiology, Genetics, Cellular and Molecular Neuroscience and Neurology, having authored 87 papers that have together received 1.5k indexed citations. Recurring topics across this work include Mesenchymal stem cell research (12 papers), Neurogenesis and neuroplasticity mechanisms (9 papers), Nerve injury and regeneration (9 papers), Pluripotent Stem Cells Research (9 papers), Parkinson's Disease Mechanisms and Treatments (9 papers), Sarcoidosis and Beryllium Toxicity Research (8 papers), Multiple Sclerosis Research Studies (5 papers) and Interstitial Lung Diseases and Idiopathic Pulmonary Fibrosis (5 papers). The work is most often cited by research in Genetics (220 citations), Developmental Neuroscience (73 citations), Physiology (326 citations), Cancer Research (144 citations) and Neurology (106 citations). Indrani Datta has collaborated with scholars based in United States, India and United Kingdom. Frequent co-authors include Ramesh Bhonde, Albert M. Levin, Benjamin A. Rybicki, Ramesh Bhonde, Shailendra Giri, Laila Poisson, Indra Adrianto, Courtney G. Montgomery, Michael C. Iannuzzi and Mohammad Mahboob Kanafi. Their work appears in journals such as Stem Cell Research, PLoS ONE, Cytotherapy, Molecular Neurobiology and Genetic Epidemiology.
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.