Nandini Chatterjee Singh
- Cognitive Neuroscience top 2%
- Developmental and Educational Psychology top 5%
- Developmental Biology top 1%
- Experimental and Cognitive Psychology top 5%
- Ecology, Evolution, Behavior and Systematics top 10%
- Co-authors
- Frédéric E. TheunissenMegha ShardaNoopur AminPrakash PadakannayaAvantika MathurLatika SinghK.R. PughJeffrey M. Valla
- Topics
- Reading and Literacy Development (16 papers)Neurobiology of Language and Bilingualism (13 papers)Neuroscience and Music Perception (11 papers)
- Journals
- SHILAP Revista de lepidopterologíaPLoS ONENeuroImage
- Partner nations
- IndiaUnited StatesUnited Kingdom
In The Last Decade
Nandini Chatterjee Singh
54 papers receiving 1.2k citations
Peers
Comparison fields: 5 of 98
- Cognitive Neuroscience 857
- Developmental and Educational Psychology 322
- Developmental Biology 236
- Experimental and Cognitive Psychology 181
- Ecology, Evolution, Behavior and Systematics 125
Countries citing papers authored by Nandini Chatterjee Singh
This map shows the geographic impact of Nandini Chatterjee Singh'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 Nandini Chatterjee Singh with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Nandini Chatterjee Singh more than expected).
Fields of papers citing papers by Nandini Chatterjee Singh
This network shows the impact of papers produced by Nandini Chatterjee Singh. 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 Nandini Chatterjee Singh. The network helps show where Nandini Chatterjee Singh may publish in the future.
Co-authorship network of co-authors of Nandini Chatterjee Singh
This figure shows the co-authorship network connecting the top 25 collaborators of Nandini Chatterjee Singh. A scholar is included among the top collaborators of Nandini Chatterjee Singh 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 Nandini Chatterjee Singh. Nandini Chatterjee Singh 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 | 0 | |
| 4 | 0 | |
| 5 | 8 | |
| 6 | 1 | |
| 7 | 2 | |
| 8 | 12 | |
| 9 | 17 | |
| 10 | 3 | |
| 11 | 12 | |
| 12 | 26 | |
| 13 | 29 | |
| 14 | 15 | |
| 15 | 1 | |
| 16 | 42 | |
| 17 | 13 | |
| 18 | 38 | |
| 19 | Neural representation of an alphasyllabary - the story of Devanagari | 12 |
| 20 | 19 |
About Nandini Chatterjee Singh
Nandini Chatterjee Singh is a scholar working on Developmental Biology, Developmental and Educational Psychology and Cognitive Neuroscience, having authored 60 papers that have together received 1.3k indexed citations. Recurring topics across this work include Reading and Literacy Development (16 papers), Neurobiology of Language and Bilingualism (13 papers) and Neuroscience and Music Perception (11 papers). The work is most often cited by research in Developmental Biology (236 citations), Cognitive Neuroscience (857 citations) and Developmental and Educational Psychology (322 citations). Nandini Chatterjee Singh has collaborated with scholars based in India, United States and United Kingdom. Frequent co-authors include Frédéric E. Theunissen, Megha Sharda, Noopur Amin, Prakash Padakannaya, Avantika Mathur, Latika Singh, K.R. Pugh, Jeffrey M. Valla, Alan C. Evans and Budhachandra Khundrakpam. Their work appears in journals such as SHILAP Revista de lepidopterología, PLoS ONE and NeuroImage.
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.