Sandhya Pande
Impact in
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- Cancer-related gene regulation
- Kruppel-like factors research
- Epigenetics and DNA Methylation
- Bone Metabolism and Diseases
- Genomics and Chromatin Dynamics
- RNA modifications and cancer
Papers in
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- Cancer-related gene regulation 4
- Epigenetics and DNA Methylation 3
- Kruppel-like factors research 2
- Histone Deacetylase Inhibitors Research 2
- Genomics and Chromatin Dynamics 2
- TGF-β signaling in diseases 1
- Protein Tyrosine Phosphatases 1
- Oncology 2
- Cytokine Signaling Pathways and Interactions 1
- Co-authors
- André J. van Wijnen (8 shared papers)Janet L. Stein (8 shared papers)Jane B. Lian (8 shared papers)Sayyed K. Zaidi (8 shared papers)Ramesh C. Kovi (2 shared papers)Steven R. Grossman (2 shared papers)Seema Paliwal (2 shared papers)Gary S. Stein (4 shared papers)
- Journals
- Journal of Cellular Physiology (2 papers)Journal of Cellular Biochemistry (1 paper)Biotechnology and Bioengineering (1 paper)Biochemistry and Cell Biology (1 paper)Journal of Cell Science (1 paper)
- Partner nations
- United StatesChileSouth Korea
In The Last Decade
Sandhya Pande
11 papers receiving 388 citations
Peers
Comparison fields: 5 of 54
- Molecular Biology 340
- Cancer Research 66
- Oncology 116
- Hematology 38
- Cell Biology 29
Countries citing papers authored by Sandhya Pande
This map shows the geographic impact of Sandhya Pande'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 Sandhya Pande with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Sandhya Pande more than expected).
Fields of papers citing papers by Sandhya Pande
This network shows the impact of papers produced by Sandhya Pande. 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 Sandhya Pande. The network helps show where Sandhya Pande may publish in the future.
Co-authors
The 25 scholars most cited alongside Sandhya Pande, 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 | 2006 | 73 | |
| 2 | 2007 | 70 | |
| 3 | 2013 | 53 | |
| 4 | 2009 | 45 | |
| 5 | 2008 | 45 | |
| 6 | 2008 | 35 | |
| 7 | 2009 | 19 | |
| 8 | 2009 | 18 | |
| 9 | 2008 | 17 | |
| 10 | 2015 | 13 | |
| 11 | 2009 | 3 |
About Sandhya Pande
Sandhya Pande is a scholar working on Molecular Biology, Oncology, Pulmonary and Respiratory Medicine, Radiology, Nuclear Medicine and Imaging and Hematology, having authored 11 papers that have together received 391 indexed citations. Recurring topics across this work include Cancer-related gene regulation (4 papers), Epigenetics and DNA Methylation (3 papers), Kruppel-like factors research (2 papers), Histone Deacetylase Inhibitors Research (2 papers), Genomics and Chromatin Dynamics (2 papers), Cytokine Signaling Pathways and Interactions (1 paper), TGF-β signaling in diseases (1 paper) and Protein Tyrosine Phosphatases (1 paper). The work is most often cited by research in Molecular Biology (340 citations), Cancer Research (66 citations), Oncology (116 citations), Hematology (38 citations) and Cell Biology (29 citations). Sandhya Pande has collaborated with scholars based in United States, Chile and South Korea. Frequent co-authors include André J. van Wijnen, Janet L. Stein, Jane B. Lian, Sayyed K. Zaidi, Ramesh C. Kovi, Steven R. Grossman, Seema Paliwal, Gary S. Stein, Syed Azmal Ali and Nabeel Bardeesy. Their work appears in journals such as Journal of Cellular Physiology, Journal of Cellular Biochemistry, Biotechnology and Bioengineering, Biochemistry and Cell Biology and Journal of Cell Science.
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.