Imran Vhora
- Biomaterials top 2%
- Nanoparticle-Based Drug Delivery 11
- Pharmaceutical Science top 2%
- Advanced Drug Delivery Systems 6
- Molecular Biology top 10%
- RNA Interference and Gene Delivery 13
- Advanced biosensing and bioanalysis techniques 10
- Molecular Medicine top 10%
- Oncology top 10%
- HER2/EGFR in Cancer Research 3
- Cancer Treatment and Pharmacology 2
- Peptidase Inhibition and Analysis 2
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- Monoclonal and Polyclonal Antibodies Research 4
Imran Vhora
25 papers receiving 1.8k citations
Hit Papers
Peers
Comparison fields: 5 of 113
- Biomaterials 617
- Pharmaceutical Science 231
- Molecular Biology 877
- Molecular Medicine 62
- Oncology 325
Countries citing papers authored by Imran Vhora
This map shows the geographic impact of Imran Vhora'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 Imran Vhora with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Imran Vhora more than expected).
Fields of papers citing papers by Imran Vhora
This network shows the impact of papers produced by Imran Vhora. 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 Imran Vhora. The network helps show where Imran Vhora may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Imran Vhora, 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 | 2020 | 27 | |
| 2 | 2019 | 49 | |
| 3 | 2018 | 21 | |
| 4 | 2018 | 25 | |
| 5 | 2018 | 28 | |
| 6 | 2018 | 27 | |
| 7 | 2017 | 28 | |
| 8 | 2017 | 31 | |
| 9 | 2017 | 130 | |
| 10 | 2016 | 43 | |
| 11 | 2015 | 8 | |
| 12 | 2015 | 22 | |
| 13 | 2015 | 80 | |
| 14 | 2014 | 39 | |
| 15 | PEG — A versatile conjugating ligand for drugs and drug delivery systemsbreakdown → | 2014 | 550 |
| 16 | 2014 | 43 | |
| 17 | 2014 | 51 | |
| 18 | 2013 | 72 | |
| 19 | Epidermal growth factor receptor targeting in cancer: A review of trends and strategiesbreakdown → | 2013 | 412 |
| 20 | 2012 | 10 |
About Imran Vhora
Imran Vhora is a scholar working on Pharmaceutical Science, Biomaterials, Oncology, Molecular Biology and Radiology, Nuclear Medicine and Imaging, having authored 25 papers that have together received 1.8k indexed citations. Recurring topics across this work include RNA Interference and Gene Delivery (13 papers), Nanoparticle-Based Drug Delivery (11 papers), Advanced biosensing and bioanalysis techniques (10 papers), Advanced Drug Delivery Systems (6 papers), Monoclonal and Polyclonal Antibodies Research (4 papers), HER2/EGFR in Cancer Research (3 papers), Cancer Treatment and Pharmacology (2 papers) and Peptidase Inhibition and Analysis (2 papers). The work is most often cited by research in Biomaterials (617 citations), Pharmaceutical Science (231 citations), Molecular Biology (877 citations), Molecular Medicine (62 citations) and Oncology (325 citations). Imran Vhora has collaborated with scholars based in India, United States and Sweden. Frequent co-authors include Ambikanandan Misra, Sushilkumar Patil, Dipesh Baradia, Chetan Yewale, Girish Kore, Priyanka Bhatt, Rohan Lalani, Jitendra Amrutiya, Rajashree Mashru and Ketan Patel. Their work appears in journals such as AAPS PharmSciTech, Journal of Controlled Release, RSC Advances, International Journal of Pharmaceutics and Pharmaceutical Research.
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.