Divya Goel
Impact in
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- Hepatitis Viruses Studies and Epidemiology
- Liver Disease and Transplantation
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- Viral gastroenteritis research and epidemiology
- Viral Infections and Vectors
Papers in
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- CRISPR and Genetic Engineering 2
- Pluripotent Stem Cells Research 2
- Co-authors
- U. K. Misra (1 shared paper)A Mathur (1 shared paper)Jayantee Kalita (1 shared paper)B. K. Handa (2 shared papers)Adarsh Kumar (2 shared papers)Divya Vohora (4 shared papers)Sirish K. Ippagunta (1 shared paper)Neha Gupta (1 shared paper)
- Journals
- Stem Cell Research (2 papers)Current Molecular Pharmacology (1 paper)International Journal of Biological Macromolecules (1 paper)Bone (1 paper)ACS Applied Bio Materials (1 paper)
- Partner nations
- IndiaUnited StatesSwitzerland
In The Last Decade
Divya Goel
30 papers receiving 225 citations
Peers
Comparison fields: 5 of 104
- Hepatology 36
- Infectious Diseases 55
- Toxicology 10
- Pollution 33
- Geochemistry and Petrology 14
Countries citing papers authored by Divya Goel
This map shows the geographic impact of Divya Goel'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 Divya Goel with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Divya Goel more than expected).
Fields of papers citing papers by Divya Goel
This network shows the impact of papers produced by Divya Goel. 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 Divya Goel. The network helps show where Divya Goel may publish in the future.
Co-authors
The 25 scholars most cited alongside Divya Goel, 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 37 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | Clinical, radiological and neurophysiological spectrum of JEV encephalitis and other non-specific encephalitis during post-monsoon period in India. | 2003 | 36 |
| 2 | 2012 | 35 | |
| 3 | 2024 | 32 | |
| 4 | 2016 | 30 | |
| 5 | 1982 | 22 | |
| 6 | 2020 | 12 | |
| 7 | 2018 | 9 | |
| 8 | 2019 | 8 | |
| 9 | 2017 | 7 | |
| 10 | 2017 | 6 | |
| 11 | 2018 | 5 | |
| 12 | 2019 | 4 | |
| 13 | 2016 | 4 | |
| 14 | 2007 | 3 | |
| 15 | 2016 | 3 | |
| 16 | 2024 | 2 | |
| 17 | 2016 | 2 | |
| 18 | 2016 | 2 | |
| 19 | 2019 | 2 | |
| 20 | 2007 | 2 |
About Divya Goel
Divya Goel is a scholar working on Molecular Biology, Infectious Diseases, Pharmacology, Neurology and Epidemiology, having authored 37 papers that have together received 237 indexed citations. Recurring topics across this work include Computational Drug Discovery Methods (3 papers), Pharmacovigilance and Adverse Drug Reactions (2 papers), Migraine and Headache Studies (2 papers), CRISPR and Genetic Engineering (2 papers), Drug-Induced Adverse Reactions (2 papers), Cholesterol and Lipid Metabolism (2 papers), Drug Transport and Resistance Mechanisms (2 papers) and Pluripotent Stem Cells Research (2 papers). The work is most often cited by research in Hepatology (36 citations), Infectious Diseases (55 citations), Toxicology (10 citations), Pollution (33 citations) and Geochemistry and Petrology (14 citations). Divya Goel has collaborated with scholars based in India, United States and Switzerland. Frequent co-authors include U. K. Misra, A Mathur, Jayantee Kalita, B. K. Handa, Adarsh Kumar, Divya Vohora, Sirish K. Ippagunta, Neha Gupta, Raj Kumar Sharma and Rakesh Aggarwal. Their work appears in journals such as Stem Cell Research, Current Molecular Pharmacology, International Journal of Biological Macromolecules, Bone and ACS Applied Bio Materials.
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.