Shashi Kant Singh
- Molecular Biology top 10%
- Plant Science top 10%
- Cellular and Molecular Neuroscience top 5%
- Developmental Neuroscience top 2%
- Physiology
- Co-authors
- Lichuan YangNeeta S. RoySteven A. GoldmanCarine ClérenM. Flint BealK. ManojPooja AsthanaLingaraj Sahoo
- Topics
- Plant tissue culture and regeneration (6 papers)Asthma and respiratory diseases (4 papers)Transgenic Plants and Applications (3 papers)
- Partner nations
- IndiaTaiwanUnited States
In The Last Decade
Shashi Kant Singh
17 papers receiving 1.2k citations
Hit Papers
Peers
Comparison fields: 5 of 109
- Molecular Biology 879
- Plant Science 316
- Cellular and Molecular Neuroscience 306
- Developmental Neuroscience 216
- Physiology 107
Countries citing papers authored by Shashi Kant Singh
This map shows the geographic impact of Shashi Kant 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 Shashi Kant Singh with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Shashi Kant Singh more than expected).
Fields of papers citing papers by Shashi Kant Singh
This network shows the impact of papers produced by Shashi Kant 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 Shashi Kant Singh. The network helps show where Shashi Kant Singh may publish in the future.
Co-authorship network of co-authors of Shashi Kant Singh
This figure shows the co-authorship network connecting the top 25 collaborators of Shashi Kant Singh. A scholar is included among the top collaborators of Shashi Kant 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 Shashi Kant Singh. Shashi Kant 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 | 2 | |
| 2 | 0 | |
| 3 | 0 | |
| 4 | 7 | |
| 5 | 27 | |
| 6 | 52 | |
| 7 | 5 | |
| 8 | 19 | |
| 9 | 54 | |
| 10 | 140 | |
| 11 | 39 | |
| 12 | 21 | |
| 13 | 23 | |
| 14 | 20 | |
| 15 | 62 | |
| 16 | 79 | |
| 17 | 31 | |
| 18 | Functional engraftment of human ES cell–derived dopaminergic neurons enriched by coculture with telomerase-immortalized midbrain astrocytesbreakdown → | 629 |
| 19 | 1 |
About Shashi Kant Singh
Shashi Kant Singh is a scholar working on Complementary and alternative medicine, Biotechnology and Immunology and Allergy, having authored 19 papers that have together received 1.2k indexed citations. Recurring topics across this work include Plant tissue culture and regeneration (6 papers), Asthma and respiratory diseases (4 papers) and Transgenic Plants and Applications (3 papers). The work is most often cited by research in Developmental Neuroscience (216 citations), Cellular and Molecular Neuroscience (306 citations) and Molecular Biology (879 citations). Shashi Kant Singh has collaborated with scholars based in India, Taiwan and United States. Frequent co-authors include Lichuan Yang, Neeta S. Roy, Steven A. Goldman, Carine Cléren, M. Flint Beal, K. Manoj, Pooja Asthana, Lingaraj Sahoo, Garima Yadav and V. S. Jaiswal. Their work appears in journals such as Nature Medicine, Journal of Applied Physiology and Science Advances.
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.