Puja Garg
Impact in
- Molecular Medicine top 5%
- Curcumin's Biomedical Applications
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- Neuroinflammation and Neurodegeneration Mechanisms
- Neurological Disease Mechanisms and Treatments
Papers in
- Surgery 8
- Peripheral Artery Disease Management 3
- Lipoproteins and Cardiovascular Health 2
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- Alcohol Consumption and Health Effects 2
- Co-authors
- Preeti Dohare (5 shared papers)Madhur Ray (5 shared papers)Peter Koulen (4 shared papers)R. Scott Duncan (2 shared papers)N. R. Jagannathan (1 shared paper)Vikas Jain (1 shared paper)Simon Kaja (2 shared papers)Chandishwar Nath (1 shared paper)
- Journals
- Journal of Endovascular Therapy (2 papers)Scientific Reports (1 paper)Neuroscience (1 paper)Diagnostic Microbiology and Infectious Disease (1 paper)Annals of the Rheumatic Diseases (1 paper)
- Partner nations
- United StatesIndiaFrance
In The Last Decade
Puja Garg
19 papers receiving 375 citations
Peers
Comparison fields: 5 of 71
- Molecular Medicine 77
- Neurology 53
- Developmental Neuroscience 16
- Pharmacology 64
- Toxicology 10
Countries citing papers authored by Puja Garg
This map shows the geographic impact of Puja Garg'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 Puja Garg with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Puja Garg more than expected).
Fields of papers citing papers by Puja Garg
This network shows the impact of papers produced by Puja Garg. 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 Puja Garg. The network helps show where Puja Garg may publish in the future.
Co-authors
The 25 scholars most cited alongside Puja Garg, 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 22 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2008 | 71 | |
| 2 | 2008 | 70 | |
| 3 | 2015 | 52 | |
| 4 | 2009 | 44 | |
| 5 | 2006 | 40 | |
| 6 | 2011 | 20 | |
| 7 | 2008 | 18 | |
| 8 | 2011 | 15 | |
| 9 | 2014 | 14 | |
| 10 | 2014 | 12 | |
| 11 | 2013 | 9 | |
| 12 | 2014 | 5 | |
| 13 | 2017 | 4 | |
| 14 | 2024 | 3 | |
| 15 | 2008 | 3 | |
| 16 | 2024 | 2 | |
| 17 | 2015 | 1 | |
| 18 | 2023 | 1 | |
| 19 | 2017 | 1 | |
| 20 | 2025 | 0 |
About Puja Garg
Puja Garg is a scholar working on Surgery, Pathology and Forensic Medicine, Endocrinology, Diabetes and Metabolism, Pharmacology and Cellular and Molecular Neuroscience, having authored 22 papers that have together received 385 indexed citations. Recurring topics across this work include Cannabis and Cannabinoid Research (3 papers), Peripheral Artery Disease Management (3 papers), Chemical Reaction Mechanisms (2 papers), Toxoplasma gondii Research Studies (2 papers), Amoebic Infections and Treatments (2 papers), Synthesis and pharmacology of benzodiazepine derivatives (2 papers), Alcohol Consumption and Health Effects (2 papers) and Lipoproteins and Cardiovascular Health (2 papers). The work is most often cited by research in Molecular Medicine (77 citations), Neurology (53 citations), Developmental Neuroscience (16 citations), Pharmacology (64 citations) and Toxicology (10 citations). Puja Garg has collaborated with scholars based in United States, India and France. Frequent co-authors include Preeti Dohare, Madhur Ray, Peter Koulen, R. Scott Duncan, N. R. Jagannathan, Vikas Jain, Simon Kaja, Chandishwar Nath, Uma Sharma and Gautam Panda. Their work appears in journals such as Journal of Endovascular Therapy, Scientific Reports, Neuroscience, Diagnostic Microbiology and Infectious Disease and Annals of the Rheumatic Diseases.
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.