Neena Singh
Impact in
- Neurology top 0.5%
- Neurological diseases and metabolism
- Parkinson's Disease Mechanisms and Treatments
- Nutrition and Dietetics top 0.5%
- Trace Elements in Health
Papers in
-
- Prion Diseases and Protein Misfolding 45
- Glycosylation and Glycoproteins Research 6
- RNA regulation and disease 5
- Neurology 30
- Neurological diseases and metabolism 30
- Co-authors
- Yaping Gu (12 shared papers)Ajay Singh (10 shared papers)Alan M. Tartakoff (9 shared papers)Ravi Shankar Mishra (6 shared papers)Henk F. Tabak (1 shared paper)Ronald J. A. Wanders (1 shared paper)Ype Elgersma (1 shared paper)C W van Roermund (1 shared paper)
- Journals
- Journal of Biological Chemistry (9 papers)Molecular and Cellular Biology (6 papers)Journal of Alzheimer s Disease (6 papers)Experimental Eye Research (5 papers)PLoS ONE (5 papers)
- Partner nations
- United StatesIndiaAustria
In The Last Decade
Neena Singh
76 papers receiving 3.0k citations
Peers
Comparison fields: 5 of 127
- Neurology 868
- Nutrition and Dietetics 881
- Molecular Biology 2.0k
- Neurology 317
- Hematology 222
Countries citing papers authored by Neena Singh
This map shows the geographic impact of Neena 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 Neena Singh with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Neena Singh more than expected).
Fields of papers citing papers by Neena Singh
This network shows the impact of papers produced by Neena 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 Neena Singh. The network helps show where Neena Singh may publish in the future.
Co-authors
The 25 scholars most cited alongside Neena Singh, 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 76 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 1995 | 273 | |
| 2 | 2013 | 167 | |
| 3 | 2000 | 144 | |
| 4 | 1999 | 142 | |
| 5 | 2021 | 123 | |
| 6 | 2020 | 118 | |
| 7 | 2002 | 85 | |
| 8 | 2009 | 85 | |
| 9 | 2009 | 83 | |
| 10 | 2009 | 82 | |
| 11 | 2004 | 81 | |
| 12 | 1997 | 78 | |
| 13 | 2013 | 69 | |
| 14 | 2015 | 65 | |
| 15 | 2003 | 61 | |
| 16 | 2003 | 58 | |
| 17 | 2009 | 56 | |
| 18 | 2007 | 56 | |
| 19 | 2009 | 52 | |
| 20 | 2016 | 51 |
About Neena Singh
Neena Singh is a scholar working on Molecular Biology, Neurology, Nutrition and Dietetics, Physiology and Epidemiology, having authored 76 papers that have together received 3.0k indexed citations. Recurring topics across this work include Prion Diseases and Protein Misfolding (45 papers), Neurological diseases and metabolism (30 papers), Trace Elements in Health (30 papers), Iron Metabolism and Disorders (7 papers), Glycosylation and Glycoproteins Research (6 papers), RNA regulation and disease (5 papers), Alzheimer's disease research and treatments (4 papers) and Glaucoma and retinal disorders (4 papers). The work is most often cited by research in Neurology (868 citations), Nutrition and Dietetics (881 citations), Molecular Biology (2.0k citations), Neurology (317 citations) and Hematology (222 citations). Neena Singh has collaborated with scholars based in United States, India and Austria. Frequent co-authors include Yaping Gu, Ajay Singh, Alan M. Tartakoff, Ravi Shankar Mishra, Henk F. Tabak, Ronald J. A. Wanders, Ype Elgersma, C W van Roermund, Pierluigi Gambetti and Xiu Luo. Their work appears in journals such as Journal of Biological Chemistry, Molecular and Cellular Biology, Journal of Alzheimer s Disease, Experimental Eye Research and PLoS ONE.
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.