Balpreet Matharu
Impact in
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- Cholinesterase and Neurodegenerative Diseases
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- Alzheimer's disease research and treatments
Papers in
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- Alzheimer's disease research and treatments 4
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- Cholinesterase and Neurodegenerative Diseases 2
- Co-authors
- Brian Austen (5 shared papers)Richard B. Parsons (2 shared papers)Susan A. Moore (1 shared paper)Leanne J. Cooper (1 shared paper)David Allsop (1 shared paper)Thomas N. Huckerby (1 shared paper)Jeffrey P. Baker (1 shared paper)Pedro A. Piedra (1 shared paper)
- Journals
- Peptides (1 paper)Neurobiology of Aging (1 paper)The journal of nutrition health & aging (1 paper)Neuropeptides (1 paper)The Pediatric Infectious Disease Journal (1 paper)
- Partner nations
- United KingdomSwitzerlandUnited States
In The Last Decade
Balpreet Matharu
6 papers receiving 203 citations
Peers
Comparison fields: 5 of 56
- Pharmacology 63
- Physiology 74
- Epidemiology 62
- Computational Theory and Mathematics 32
- Complementary and alternative medicine 14
Countries citing papers authored by Balpreet Matharu
This map shows the geographic impact of Balpreet Matharu'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 Balpreet Matharu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Balpreet Matharu more than expected).
Fields of papers citing papers by Balpreet Matharu
This network shows the impact of papers produced by Balpreet Matharu. 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 Balpreet Matharu. The network helps show where Balpreet Matharu may publish in the future.
Co-authors
The 14 scholars most cited alongside Balpreet Matharu, 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 | 2009 | 81 | |
| 2 | 2020 | 65 | |
| 3 | 2010 | 35 | |
| 4 | 2009 | 12 | |
| 5 | 2015 | 10 | |
| 6 | 2004 | 3 |
About Balpreet Matharu
Balpreet Matharu is a scholar working on Physiology, Pharmacology, Computational Theory and Mathematics, Infectious Diseases and Surgery, having authored 6 papers that have together received 206 indexed citations. Recurring topics across this work include Alzheimer's disease research and treatments (4 papers), Computational Drug Discovery Methods (2 papers), Cholinesterase and Neurodegenerative Diseases (2 papers), Viral gastroenteritis research and epidemiology (1 paper), Lipoproteins and Cardiovascular Health (1 paper), Influenza Virus Research Studies (1 paper), Amino Acid Enzymes and Metabolism (1 paper) and Lanthanide and Transition Metal Complexes (1 paper). The work is most often cited by research in Pharmacology (63 citations), Physiology (74 citations), Epidemiology (62 citations), Computational Theory and Mathematics (32 citations) and Complementary and alternative medicine (14 citations). Balpreet Matharu has collaborated with scholars based in United Kingdom, Switzerland and United States. Frequent co-authors include Brian Austen, Richard B. Parsons, Susan A. Moore, Leanne J. Cooper, David Allsop, Thomas N. Huckerby, Jeffrey P. Baker, Pedro A. Piedra, Sophie Dimonaco and Steffen Wildum. Their work appears in journals such as Peptides, Neurobiology of Aging, The journal of nutrition health & aging, Neuropeptides and The Pediatric Infectious Disease Journal.
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.