Dhanya Haridas
- Oncology top 5%
- Pancreatic and Hepatic Oncology Research 9
- Cancer Cells and Metastasis 3
- HER2/EGFR in Cancer Research 2
- Cancer Research top 10%
- Molecular Biology top 10%
- Glycosylation and Glycoproteins Research 10
- Immunology top 10%
- Galectins and Cancer Biology 3
-
- Monoclonal and Polyclonal Antibodies Research 3
-
- Neuroendocrine Tumor Research Advances 2
-
- 3D Printing in Biomedical Research 2
- Co-authors
- Moorthy P. PonnusamySurinder K. BatraParthasarathy SeshacharyuluManeesh JainApar Kishor GantiImayavaramban LakshmananSatyanarayana RachaganiSeema Chugh
- Partner nations
- United StatesIndiaEthiopia
In The Last Decade
Dhanya Haridas
20 papers receiving 1.6k citations
Hit Papers
Peers
Comparison fields: 5 of 109
- Oncology 712
- Cancer Research 301
- Molecular Biology 987
- Immunology 270
- Radiology, Nuclear Medicine and Imaging 210
Countries citing papers authored by Dhanya Haridas
This map shows the geographic impact of Dhanya Haridas'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 Dhanya Haridas with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Dhanya Haridas more than expected).
Fields of papers citing papers by Dhanya Haridas
This network shows the impact of papers produced by Dhanya Haridas. 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 Dhanya Haridas. The network helps show where Dhanya Haridas may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Dhanya Haridas, 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 | 2024 | 14 | |
| 2 | 2024 | 20 | |
| 3 | 2022 | 4 | |
| 4 | 2020 | 5 | |
| 5 | 2020 | 7 | |
| 6 | 2019 | 2 | |
| 7 | 2016 | 59 | |
| 8 | 2015 | 29 | |
| 9 | 2015 | 56 | |
| 10 | 2014 | 117 | |
| 11 | 2014 | 83 | |
| 12 | 2014 | 42 | |
| 13 | 2014 | 27 | |
| 14 | 2014 | 85 | |
| 15 | 2013 | 22 | |
| 16 | 2012 | 68 | |
| 17 | 2012 | 70 | |
| 18 | Targeting the EGFR signaling pathway in cancer therapybreakdown → | 2012 | 730 |
| 19 | 2011 | 107 | |
| 20 | 2011 | 115 |
About Dhanya Haridas
Dhanya Haridas is a scholar working on Oncology, Molecular Biology and Biophysics, having authored 20 papers that have together received 1.7k indexed citations. Recurring topics across this work include Glycosylation and Glycoproteins Research (10 papers), Pancreatic and Hepatic Oncology Research (9 papers), Cancer Cells and Metastasis (3 papers), Monoclonal and Polyclonal Antibodies Research (3 papers), Galectins and Cancer Biology (3 papers), Neuroendocrine Tumor Research Advances (2 papers), HER2/EGFR in Cancer Research (2 papers) and 3D Printing in Biomedical Research (2 papers). The work is most often cited by research in Oncology (712 citations), Cancer Research (301 citations) and Molecular Biology (987 citations). Dhanya Haridas has collaborated with scholars based in United States, India and Ethiopia. Frequent co-authors include Moorthy P. Ponnusamy, Surinder K. Batra, Parthasarathy Seshacharyulu, Maneesh Jain, Apar Kishor Ganti, Imayavaramban Lakshmanan, Satyanarayana Rachagani, Surinder K. Batra, Seema Chugh and Muzafar A. Macha. Their work appears in journals such as PLoS ONE, Advanced Drug Delivery Reviews and Oncogene.
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.