Nanda Gamad
Impact in
-
- Traditional Chinese Medicine Analysis
- Mangiferin and Mango Extracts
- Pathology and Forensic Medicine top 10%
- Chemotherapy-induced organ toxicity mitigation
- Cardiac Ischemia and Reperfusion
Papers in
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- Chemotherapy-induced organ toxicity mitigation 3
- Biomedical Research and Pathophysiology 2
- Cardiac Ischemia and Reperfusion 2
- Co-authors
- Jagriti Bhatia (8 shared papers)Salma Malik (8 shared papers)Kapil Suchal (8 shared papers)Dharamvir Singh Arya (6 shared papers)Amit Kumar Dinda (3 shared papers)Rajiv Malhotra (4 shared papers)Sameer N. Goyal (4 shared papers)Shreesh Ojha (3 shared papers)
- Journals
- European Journal of Pharmacology (2 papers)Experimental and Toxicologic Pathology (1 paper)Phytomedicine (1 paper)Antibiotics (1 paper)Biomedicine & Pharmacotherapy (1 paper)
- Partner nations
- IndiaUnited Arab EmiratesJordan
In The Last Decade
Nanda Gamad
13 papers receiving 513 citations
Peers
Comparison fields: 5 of 82
- Complementary and alternative medicine 122
- Pathology and Forensic Medicine 162
- Biochemistry 41
- Pharmacology 57
- Nephrology 34
Countries citing papers authored by Nanda Gamad
This map shows the geographic impact of Nanda Gamad'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 Nanda Gamad with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Nanda Gamad more than expected).
Fields of papers citing papers by Nanda Gamad
This network shows the impact of papers produced by Nanda Gamad. 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 Nanda Gamad. The network helps show where Nanda Gamad may publish in the future.
Co-authors
The 25 scholars most cited alongside Nanda Gamad, 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 | 2014 | 103 | |
| 2 | 2016 | 93 | |
| 3 | 2015 | 73 | |
| 4 | 2016 | 72 | |
| 5 | 2017 | 61 | |
| 6 | 2016 | 46 | |
| 7 | 2016 | 32 | |
| 8 | 2016 | 19 | |
| 9 | 2021 | 7 | |
| 10 | 2022 | 5 | |
| 11 | 2021 | 4 | |
| 12 | 2023 | 2 | |
| 13 | 2022 | 2 | |
| 14 | 2022 | 0 | |
| 15 | 2020 | 0 |
About Nanda Gamad
Nanda Gamad is a scholar working on Pathology and Forensic Medicine, Complementary and alternative medicine, Surgery, Nephrology and Plant Science, having authored 15 papers that have together received 519 indexed citations. Recurring topics across this work include Chemotherapy-induced organ toxicity mitigation (3 papers), Biomedical Research and Pathophysiology (2 papers), Cardiac Ischemia and Reperfusion (2 papers), Pancreatic function and diabetes (1 paper), Long-Term Effects of COVID-19 (1 paper), Interstitial Lung Diseases and Idiopathic Pulmonary Fibrosis (1 paper), Chronic Kidney Disease and Diabetes (1 paper) and Pharmaceutical Practices and Patient Outcomes (1 paper). The work is most often cited by research in Complementary and alternative medicine (122 citations), Pathology and Forensic Medicine (162 citations), Biochemistry (41 citations), Pharmacology (57 citations) and Nephrology (34 citations). Nanda Gamad has collaborated with scholars based in India, United Arab Emirates and Jordan. Frequent co-authors include Jagriti Bhatia, Salma Malik, Kapil Suchal, Dharamvir Singh Arya, Amit Kumar Dinda, Rajiv Malhotra, Sameer N. Goyal, Shreesh Ojha, Uma Chaudhary and Sudheer Arava. Their work appears in journals such as European Journal of Pharmacology, Experimental and Toxicologic Pathology, Phytomedicine, Antibiotics and Biomedicine & Pharmacotherapy.
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.