Deepak Bhere
Impact in
- Genetics top 2%
- Mesenchymal stem cell research
- Glioma Diagnosis and Treatment
- Virus-based gene therapy research
- Cancer Research top 10%
- MicroRNA in disease regulation
Papers in
- Genetics 5
- Virus-based gene therapy research 5
- Mesenchymal stem cell research 3
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- RNA Interference and Gene Delivery 4
- Pluripotent Stem Cells Research 3
- Circular RNAs in diseases 3
- Co-authors
- Khalid Shah (21 shared papers)Hiroaki Wakimoto (6 shared papers)Oren A. Levy (1 shared paper)Brock C. Reeve (1 shared paper)Ali H. Alhasan (1 shared paper)Jeffrey M. Karp (1 shared paper)Yuka Milton (1 shared paper)Reza Abdi (1 shared paper)
- Journals
- Molecular Therapy (3 papers)Cancer Discovery (2 papers)Cancer Gene Therapy (2 papers)Scientific Reports (2 papers)Stem Cells (2 papers)
- Partner nations
- United StatesSaudi ArabiaJapan
In The Last Decade
Deepak Bhere
26 papers receiving 1.6k citations
Deepak Bhere's Hit Papers
Peers
Comparison fields: 5 of 94
- Genetics 578
- Cancer Research 302
- Oncology 369
- Molecular Biology 661
- Immunology 169
Countries citing papers authored by Deepak Bhere
This map shows the geographic impact of Deepak Bhere'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 Deepak Bhere with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Deepak Bhere more than expected).
Fields of papers citing papers by Deepak Bhere
This network shows the impact of papers produced by Deepak Bhere. 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 Deepak Bhere. The network helps show where Deepak Bhere may publish in the future.
Co-authors
The 25 scholars most cited alongside Deepak Bhere, 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 26 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | Shattering barriers toward clinically meaningful MSC therapies Hit paper breakdown → | 2020 | 519 |
| 2 | 2014 | 223 | |
| 3 | 2013 | 85 | |
| 4 | 2012 | 74 | |
| 5 | 2012 | 71 | |
| 6 | 2021 | 70 | |
| 7 | 2017 | 56 | |
| 8 | 2012 | 53 | |
| 9 | 2017 | 52 | |
| 10 | 2014 | 51 | |
| 11 | 2012 | 49 | |
| 12 | 2021 | 46 | |
| 13 | 2014 | 44 | |
| 14 | 2018 | 44 | |
| 15 | 2020 | 37 | |
| 16 | 2017 | 36 | |
| 17 | 2019 | 17 | |
| 18 | 2024 | 13 | |
| 19 | 2015 | 12 | |
| 20 | 2023 | 9 |
About Deepak Bhere
Deepak Bhere is a scholar working on Genetics, Molecular Biology, Cancer Research, Biotechnology and Pathology and Forensic Medicine, having authored 26 papers that have together received 1.6k indexed citations. Recurring topics across this work include Virus-based gene therapy research (5 papers), CAR-T cell therapy research (4 papers), RNA Interference and Gene Delivery (4 papers), Cancer Mechanisms and Therapy (4 papers), Cancer Research and Treatments (3 papers), Pluripotent Stem Cells Research (3 papers), Circular RNAs in diseases (3 papers) and Mesenchymal stem cell research (3 papers). The work is most often cited by research in Genetics (578 citations), Cancer Research (302 citations), Oncology (369 citations), Molecular Biology (661 citations) and Immunology (169 citations). Deepak Bhere has collaborated with scholars based in United States, Saudi Arabia and Japan. Frequent co-authors include Khalid Shah, Hiroaki Wakimoto, Oren A. Levy, Brock C. Reeve, Ali H. Alhasan, Jeffrey M. Karp, Yuka Milton, Reza Abdi, Rui Kuai and Erika M. J. Siren. Their work appears in journals such as Molecular Therapy, Cancer Discovery, Cancer Gene Therapy, Scientific Reports and Stem Cells.
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.