Divya Sahu
Impact in
- Cancer Research top 10%
- Cancer-related molecular mechanisms research
- Cancer, Hypoxia, and Metabolism
- Rehabilitation top 10%
- Wound Healing and Treatments
Papers in
-
- Heat shock proteins research 6
- Metabolomics and Mass Spectrometry Studies 2
- ATP Synthase and ATPases Research 2
-
- Cancer, Hypoxia, and Metabolism 7
- Cancer-related molecular mechanisms research 4
- Co-authors
- Fred Tsen (6 shared papers)Wei Li (6 shared papers)Mei Chen (6 shared papers)Donna E. Hansel (7 shared papers)David T. Woodley (6 shared papers)Hsuan‐Cheng Huang (4 shared papers)Shinn‐Ying Ho (3 shared papers)Hsueh‐Fen Juan (3 shared papers)
- Journals
- Cancer Research (2 papers)American Journal Of Pathology (2 papers)Journal of Clinical Investigation (2 papers)Journal of Biological Chemistry (2 papers)npj Precision Oncology (1 paper)
- Partner nations
- United StatesIndiaTaiwan
In The Last Decade
Divya Sahu
33 papers receiving 998 citations
Peers
Comparison fields: 5 of 95
- Cancer Research 215
- Rehabilitation 62
- Molecular Biology 615
- Equine 11
- Cell Biology 100
Countries citing papers authored by Divya Sahu
This map shows the geographic impact of Divya Sahu'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 Sahu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Divya Sahu more than expected).
Fields of papers citing papers by Divya Sahu
This network shows the impact of papers produced by Divya Sahu. 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 Sahu. The network helps show where Divya Sahu may publish in the future.
Co-authors
The 25 scholars most cited alongside Divya Sahu, 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 36 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2011 | 167 | |
| 2 | 2011 | 103 | |
| 3 | 2014 | 89 | |
| 4 | 2013 | 75 | |
| 5 | 2016 | 66 | |
| 6 | 2017 | 63 | |
| 7 | 2011 | 62 | |
| 8 | 2016 | 62 | |
| 9 | 2016 | 59 | |
| 10 | 2013 | 50 | |
| 11 | 2018 | 30 | |
| 12 | 2010 | 29 | |
| 13 | 2019 | 27 | |
| 14 | 2016 | 25 | |
| 15 | 2012 | 15 | |
| 16 | 2018 | 15 | |
| 17 | 2017 | 14 | |
| 18 | 2018 | 10 | |
| 19 | 2021 | 10 | |
| 20 | 2016 | 9 |
About Divya Sahu
Divya Sahu is a scholar working on Molecular Biology, Cancer Research, Pulmonary and Respiratory Medicine, Surgery and Neurology, having authored 36 papers that have together received 1.0k indexed citations. Recurring topics across this work include Cancer, Hypoxia, and Metabolism (7 papers), Heat shock proteins research (6 papers), Cancer-related molecular mechanisms research (4 papers), Neuroblastoma Research and Treatments (3 papers), Computational Drug Discovery Methods (3 papers), Nanoplatforms for cancer theranostics (3 papers), Metabolomics and Mass Spectrometry Studies (2 papers) and ATP Synthase and ATPases Research (2 papers). The work is most often cited by research in Cancer Research (215 citations), Rehabilitation (62 citations), Molecular Biology (615 citations), Equine (11 citations) and Cell Biology (100 citations). Divya Sahu has collaborated with scholars based in United States, India and Taiwan. Frequent co-authors include Fred Tsen, Wei Li, Mei Chen, Donna E. Hansel, David T. Woodley, Hsuan‐Cheng Huang, Shinn‐Ying Ho, Hsueh‐Fen Juan, Yair Lotan and Bryan M. Wittmann. Their work appears in journals such as Cancer Research, American Journal Of Pathology, Journal of Clinical Investigation, Journal of Biological Chemistry and npj Precision Oncology.
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.