Priya Singhal
Impact in
- Biological Psychiatry top 10%
- Tryptophan and brain disorders
- Physiology top 10%
- Alzheimer's disease research and treatments
Papers in
-
- Advanced Power Amplifier Design 2
- PAPR reduction in OFDM 2
- Radio Frequency Integrated Circuit Design 2
- Co-authors
- Karen Smirnakis (5 shared papers)Samantha Budd Haeberlein (2 shared papers)Stephen Salloway (2 shared papers)Ying Tian (2 shared papers)Spyros Chalkias (3 shared papers)Patrick Burkett (1 shared paper)Guanfang Wang (1 shared paper)Fiona Forrestal (1 shared paper)
- Journals
- JAMA Neurology (1 paper)JAMA Dermatology (1 paper)Clinical Science (1 paper)Neurology (1 paper)Respiratory Medicine (1 paper)
- Partner nations
- IndiaUnited StatesSwitzerland
In The Last Decade
Priya Singhal
16 papers receiving 604 citations
Priya Singhal's Hit Papers
Peers
Comparison fields: 5 of 84
- Biological Psychiatry 35
- Physiology 273
- Neurology 76
- Pharmacology 118
- Psychiatry and Mental health 82
Countries citing papers authored by Priya Singhal
This map shows the geographic impact of Priya Singhal'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 Priya Singhal with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Priya Singhal more than expected).
Fields of papers citing papers by Priya Singhal
This network shows the impact of papers produced by Priya Singhal. 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 Priya Singhal. The network helps show where Priya Singhal may publish in the future.
Co-authors
The 25 scholars most cited alongside Priya Singhal, 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 | Amyloid-Related Imaging Abnormalities in 2 Phase 3 Studies Evaluating Aducanumab in Patients With Early Alzheimer Disease Hit paper breakdown → | 2021 | 437 |
| 2 | 2015 | 53 | |
| 3 | 2012 | 43 | |
| 4 | 2007 | 16 | |
| 5 | 2024 | 16 | |
| 6 | 2022 | 9 | |
| 7 | 2015 | 9 | |
| 8 | 2019 | 7 | |
| 9 | 2023 | 6 | |
| 10 | 2015 | 6 | |
| 11 | 2014 | 4 | |
| 12 | Dentinogenesis Imperfecta Type II–A Case Report with Review of Literature | 2015 | 3 |
| 13 | 2018 | 2 | |
| 14 | 2007 | 2 | |
| 15 | 2014 | 1 | |
| 16 | Fibro-epithelial Polyp - Report of Two Cases with Literature Review | 2015 | 1 |
| 17 | 2023 | 0 | |
| 18 | 2014 | 0 |
About Priya Singhal
Priya Singhal is a scholar working on Pharmacology, Electrical and Electronic Engineering, Organic Chemistry, Oncology and Epidemiology, having authored 18 papers that have together received 615 indexed citations. Recurring topics across this work include Polyomavirus and related diseases (2 papers), Advanced Power Amplifier Design (2 papers), Multicomponent Synthesis of Heterocycles (2 papers), PAPR reduction in OFDM (2 papers), Radio Frequency Integrated Circuit Design (2 papers), Online and Blended Learning (1 paper), Bone and Dental Protein Studies (1 paper) and Innovative Teaching Methods (1 paper). The work is most often cited by research in Biological Psychiatry (35 citations), Physiology (273 citations), Neurology (76 citations), Pharmacology (118 citations) and Psychiatry and Mental health (82 citations). Priya Singhal has collaborated with scholars based in India, United States and Switzerland. Frequent co-authors include Karen Smirnakis, Samantha Budd Haeberlein, Stephen Salloway, Ying Tian, Spyros Chalkias, Patrick Burkett, Guanfang Wang, Fiona Forrestal, Derk D. Purcell and Joyce Suhy. Their work appears in journals such as JAMA Neurology, JAMA Dermatology, Clinical Science, Neurology and Respiratory Medicine.
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.