Deepak Bhere
Impact in
- Genetics top 1%
- Mesenchymal stem cell research
- Glioma Diagnosis and Treatment
- Virus-based gene therapy research
- Cancer Research top 10%
- MicroRNA in disease regulation
Papers in
-
- RNA Interference and Gene Delivery 4
- Pluripotent Stem Cells Research 3
- Circular RNAs in diseases 3
- Genetics 6
- Virus-based gene therapy research 5
- Co-authors
- Khalid Shah (22 shared papers)Hiroaki Wakimoto (7 shared papers)Brock Reeve (1 shared paper)Jeffrey M. Karp (1 shared paper)Erika M. J. Siren (1 shared paper)Oren Levy (1 shared paper)Abdulaziz Almalik (1 shared paper)Yuka Milton (1 shared paper)
- Journals
- Cancer Research (4 papers)Molecular Therapy (3 papers)Cancer Gene Therapy (2 papers)Stem Cells (2 papers)Science Translational Medicine (2 papers)
- Partner nations
- United StatesSaudi ArabiaIndia
In The Last Decade
Deepak Bhere
27 papers receiving 1.4k citations
Deepak Bhere's Hit Papers
Peers
Comparison fields: 5 of 93
- Genetics 541
- Cancer Research 264
- Oncology 319
- Molecular Biology 578
- Immunology 146
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 27 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 | 475 |
| 2 | 2014 | 204 | |
| 3 | 2013 | 81 | |
| 4 | 2012 | 71 | |
| 5 | 2012 | 67 | |
| 6 | 2021 | 62 | |
| 7 | 2014 | 51 | |
| 8 | 2012 | 50 | |
| 9 | 2012 | 47 | |
| 10 | 2018 | 43 | |
| 11 | 2021 | 41 | |
| 12 | 2014 | 40 | |
| 13 | 2020 | 36 | |
| 14 | 2017 | 33 | |
| 15 | 2019 | 17 | |
| 16 | 2024 | 10 | |
| 17 | 2015 | 10 | |
| 18 | 2023 | 9 | |
| 19 | 2021 | 9 | |
| 20 | 2018 | 8 |
About Deepak Bhere
Deepak Bhere is a scholar working on Molecular Biology, Genetics, Oncology, Genetics and Pathology and Forensic Medicine, having authored 27 papers that have together received 1.4k indexed citations. Recurring topics across this work include Virus-based gene therapy research (5 papers), RNA Interference and Gene Delivery (4 papers), CAR-T cell therapy research (4 papers), Cancer Mechanisms and Therapy (4 papers), Pluripotent Stem Cells Research (3 papers), Circular RNAs in diseases (3 papers), Cancer Research and Treatments (3 papers) and MicroRNA in disease regulation (3 papers). The work is most often cited by research in Genetics (541 citations), Cancer Research (264 citations), Oncology (319 citations), Molecular Biology (578 citations) and Immunology (146 citations). Deepak Bhere has collaborated with scholars based in United States, Saudi Arabia and India. Frequent co-authors include Khalid Shah, Hiroaki Wakimoto, Brock Reeve, Jeffrey M. Karp, Erika M. J. Siren, Oren Levy, Abdulaziz Almalik, Yuka Milton, Ali H. Alhasan and Rui Kuai. Their work appears in journals such as Cancer Research, Molecular Therapy, Cancer Gene Therapy, Stem Cells and Science Translational Medicine.
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.