Ganesan Padmavathi
- Molecular Medicine top 0.5%
- Curcumin's Biomedical Applications 7
- Toxicology top 1%
- Pharmacology top 1%
- Pharmacology top 2%
- Cancer Research top 5%
- NF-κB Signaling Pathways 4
- Cancer, Hypoxia, and Metabolism 3
-
- Cell death mechanisms and regulation 6
- Genomics, phytochemicals, and oxidative stress 4
- Natural product bioactivities and synthesis 4
-
- interferon and immune responses 5
-
- Cancer Mechanisms and Therapy 4
- Co-authors
- Ajaikumar B. KunnumakkaraDevivasha BordoloiNand Kishor RoyJavadi MonishaKishore BanikBharat B. AggarwalSahdeo PrasadGautam Sethi
In The Last Decade
Ganesan Padmavathi
42 papers receiving 2.8k citations
Hit Papers
Peers
Comparison fields: 5 of 117
- Molecular Medicine 613
- Toxicology 160
- Pharmacology 377
- Pharmacology 495
- Cancer Research 387
Countries citing papers authored by Ganesan Padmavathi
This map shows the geographic impact of Ganesan Padmavathi'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 Ganesan Padmavathi with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Ganesan Padmavathi more than expected).
Fields of papers citing papers by Ganesan Padmavathi
This network shows the impact of papers produced by Ganesan Padmavathi. 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 Ganesan Padmavathi. The network helps show where Ganesan Padmavathi may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Ganesan Padmavathi, 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 | 2022 | 11 | |
| 2 | 2020 | 36 | |
| 3 | 2020 | 16 | |
| 4 | 2019 | 36 | |
| 5 | 2019 | 50 | |
| 6 | 2018 | 52 | |
| 7 | 2018 | 96 | |
| 8 | 2018 | 90 | |
| 9 | 2018 | 60 | |
| 10 | Curcumin, the golden nutraceutical: multitargeting for multiple chronic diseasesbreakdown → | 2016 | 795 |
| 11 | 2016 | 41 | |
| 12 | 2016 | 55 | |
| 13 | 2015 | 49 | |
| 14 | 2015 | 84 | |
| 15 | 2015 | 118 | |
| 16 | 2014 | 1 | |
| 17 | 2014 | 16 | |
| 18 | Research Article Knowledge and Factors Influencing on Gastritis among Distant Mode Learners of Various Universities at Selected Study Centers Around Bangalore City With a View of Providing a Pamphlet | 2013 | 1 |
| 19 | Identification of random amplified polymorphic DNA markers for resistance to green leafhopper (Nephotettix virescens Distant) in rice. | 2007 | 1 |
| 20 | Detection of protein markers for identification of rice genotypes resistant to green leafhopper | 1999 | 3 |
About Ganesan Padmavathi
Ganesan Padmavathi is a scholar working on Molecular Medicine, Toxicology and Cancer Research, having authored 43 papers that have together received 2.9k indexed citations. Recurring topics across this work include Curcumin's Biomedical Applications (7 papers), Cell death mechanisms and regulation (6 papers), interferon and immune responses (5 papers), Genomics, phytochemicals, and oxidative stress (4 papers), Natural product bioactivities and synthesis (4 papers), Cancer Mechanisms and Therapy (4 papers), NF-κB Signaling Pathways (4 papers) and Cancer, Hypoxia, and Metabolism (3 papers). The work is most often cited by research in Molecular Medicine (613 citations), Toxicology (160 citations) and Pharmacology (377 citations). Ganesan Padmavathi has collaborated with scholars based in India, Singapore and Australia. Frequent co-authors include Ajaikumar B. Kunnumakkara, Devivasha Bordoloi, Nand Kishor Roy, Javadi Monisha, Kishore Banik, Bharat B. Aggarwal, Sahdeo Prasad, Gautam Sethi, Lu Fan and Frank Arfuso. Their work appears in journals such as Life Sciences, Journal of Basic and Clinical Physiology and Pharmacology, International Journal of Molecular Sciences, Current Drug Targets and Biomolecules.
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.