Arvind Parmar
Impact in
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- Neuroinflammation and Neurodegeneration Mechanisms
Papers in
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- Antifungal resistance and susceptibility 7
- Co-authors
- Jayesh B. Majithiya (4 shared papers)David W. Denning (7 shared papers)Joanne Sharp (7 shared papers)Peter Warn (3 shared papers)Richard B. Banati (2 shared papers)Ryan J. Middleton (2 shared papers)Manuel B. Graeber (2 shared papers)R Balaraman (6 shared papers)
- Journals
- International Journal of Antimicrobial Agents (2 papers)Nature Communications (1 paper)Quaternary International (1 paper)Diabetologia (1 paper)Theranostics (1 paper)
- Partner nations
- AustraliaIndiaUnited States
In The Last Decade
Arvind Parmar
32 papers receiving 780 citations
Peers
Comparison fields: 5 of 142
- Biological Psychiatry 21
- Neurology 58
- Infectious Diseases 127
- Epidemiology 125
- Clinical Biochemistry 24
Countries citing papers authored by Arvind Parmar
This map shows the geographic impact of Arvind Parmar'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 Arvind Parmar with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Arvind Parmar more than expected).
Fields of papers citing papers by Arvind Parmar
This network shows the impact of papers produced by Arvind Parmar. 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 Arvind Parmar. The network helps show where Arvind Parmar may publish in the future.
Co-authors
The 25 scholars most cited alongside Arvind Parmar, 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 33 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2014 | 197 | |
| 2 | 2020 | 170 | |
| 3 | 2009 | 76 | |
| 4 | 2008 | 56 | |
| 5 | 2006 | 30 | |
| 6 | 2016 | 30 | |
| 7 | 2018 | 27 | |
| 8 | 2005 | 26 | |
| 9 | 2007 | 26 | |
| 10 | 2018 | 25 | |
| 11 | 2006 | 23 | |
| 12 | 2019 | 23 | |
| 13 | 2013 | 18 | |
| 14 | 2010 | 12 | |
| 15 | 2017 | 10 | |
| 16 | 2017 | 9 | |
| 17 | Effect of curcumin on triton WR 1339 induced hypercholesterolemia in mice | 2004 | 8 |
| 18 | 2022 | 5 | |
| 19 | 2007 | 5 | |
| 20 | 2019 | 3 |
About Arvind Parmar
Arvind Parmar is a scholar working on Molecular Biology, Infectious Diseases, Radiology, Nuclear Medicine and Imaging, Organic Chemistry and Pharmacology, having authored 33 papers that have together received 796 indexed citations. Recurring topics across this work include Antifungal resistance and susceptibility (7 papers), Medical Imaging Techniques and Applications (5 papers), Fungal Infections and Studies (4 papers), Synthesis and biological activity (4 papers), Radiopharmaceutical Chemistry and Applications (3 papers), Neuroscience and Neuropharmacology Research (2 papers), Neutropenia and Cancer Infections (2 papers) and Inflammatory mediators and NSAID effects (2 papers). The work is most often cited by research in Biological Psychiatry (21 citations), Neurology (58 citations), Infectious Diseases (127 citations), Epidemiology (125 citations) and Clinical Biochemistry (24 citations). Arvind Parmar has collaborated with scholars based in Australia, India and United States. Frequent co-authors include Jayesh B. Majithiya, David W. Denning, Joanne Sharp, Peter Warn, Richard B. Banati, Ryan J. Middleton, Manuel B. Graeber, R Balaraman, Arnaud Charil and Sandra Fok. Their work appears in journals such as International Journal of Antimicrobial Agents, Nature Communications, Quaternary International, Diabetologia and Theranostics.
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.