Anupama Munshi
- Cancer Research top 2%
- MicroRNA in disease regulation 11
- Biomaterials top 2%
- Oncology top 2%
- Cancer-related Molecular Pathways 9
- Molecular Biology top 2%
- RNA Interference and Gene Delivery 18
- Extracellular vesicles in disease 9
- Cell death mechanisms and regulation 8
- DNA Repair Mechanisms 7
- RNA Research and Splicing 7
- Biotechnology top 2%
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- Virus-based gene therapy research 16
- Co-authors
- Rajagopal RameshRaymond E. MeynAnish BabuMarvette L. HobbsNarsireddy AmreddyRanganayaki MuralidharanAkhil SrivastavaMeghna Mehta
- Cited by
- Cancer ResearchBiomaterialsOncology
- Journals
- Journal of Biological Chemistry (1 paper)Cancer Research (4 papers)Advanced Drug Delivery Reviews (3 papers)
- Partner nations
- United StatesIndiaJapan
In The Last Decade
Anupama Munshi
85 papers receiving 4.8k citations
Peers
Comparison fields: 5 of 129
- Cancer Research 960
- Biomaterials 636
- Oncology 1.3k
- Molecular Biology 3.0k
- Biotechnology 291
Countries citing papers authored by Anupama Munshi
This map shows the geographic impact of Anupama Munshi'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 Anupama Munshi with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Anupama Munshi more than expected).
Fields of papers citing papers by Anupama Munshi
This network shows the impact of papers produced by Anupama Munshi. 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 Anupama Munshi. The network helps show where Anupama Munshi may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Anupama Munshi, 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 | 2021 | 12 | |
| 3 | 2019 | 14 | |
| 4 | 2019 | 13 | |
| 5 | 2017 | 55 | |
| 6 | 2017 | 225 | |
| 7 | 2017 | 49 | |
| 8 | 2016 | 157 | |
| 9 | 2015 | 40 | |
| 10 | 2014 | 69 | |
| 11 | 2013 | 30 | |
| 12 | Activation of ER-α by DNMT and HDAC inhibitors radiosensitizes ER-α negative breast cancer cells | 2007 | 1 |
| 13 | Radiosensitization of human melanoma cells by sorafenib (BAY 43-9006), a multi-kinase inhibitor | 2006 | 1 |
| 14 | 2004 | 87 | |
| 15 | 2002 | 58 | |
| 16 | 2001 | 11 | |
| 17 | 2001 | 96 | |
| 18 | Enhanced tumor recognition and killing using the HSV-TK suicide gene | 1996 | 4 |
| 19 | 1995 | 66 | |
| 20 | 1993 | 15 |
About Anupama Munshi
Anupama Munshi is a scholar working on Cancer Research, Oncology and Molecular Biology, having authored 85 papers that have together received 4.8k indexed citations. Recurring topics across this work include RNA Interference and Gene Delivery (18 papers), Virus-based gene therapy research (16 papers), MicroRNA in disease regulation (11 papers), Cancer-related Molecular Pathways (9 papers), Extracellular vesicles in disease (9 papers), Cell death mechanisms and regulation (8 papers), DNA Repair Mechanisms (7 papers) and RNA Research and Splicing (7 papers). The work is most often cited by research in Cancer Research (960 citations), Biomaterials (636 citations) and Oncology (1.3k citations). Anupama Munshi has collaborated with scholars based in United States, India and Japan. Frequent co-authors include Rajagopal Ramesh, Raymond E. Meyn, Anish Babu, Marvette L. Hobbs, Narsireddy Amreddy, Ranganayaki Muralidharan, Akhil Srivastava, Meghna Mehta, Janani Panneerselvam and Takashi Nishikawa. Their work appears in journals such as Journal of Biological Chemistry, Cancer Research and Advanced Drug Delivery Reviews.
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.