Deepika Kanojia
Impact in
- Molecular Biology top 10%
- RNA Research and Splicing
- RNA modifications and cancer
- RNA Interference and Gene Delivery
- Protein Degradation and Inhibitors
- Heat shock proteins research
- Ubiquitin and proteasome pathways
- Epigenetics and DNA Methylation
- Cancer Research top 10%
Papers in
-
- Protein Degradation and Inhibitors 4
- RNA Research and Splicing 4
- RNA Interference and Gene Delivery 3
- Genomics and Chromatin Dynamics 2
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- Immunotherapy and Immune Responses 6
- Co-authors
- Manoj Garg (18 shared papers)Anil Suri (11 shared papers)Anju Gupta (9 shared papers)H. Phillip Koeffler (14 shared papers)Sushma Suri (5 shared papers)Samir Gupta (3 shared papers)Vikas Madan (10 shared papers)Henry Yang (7 shared papers)
- Journals
- Cancer (3 papers)The Journal of Clinical Endocrinology & Metabolism (3 papers)Nature Communications (2 papers)PLoS ONE (2 papers)Cancer Research (2 papers)
- Partner nations
- IndiaSingaporeUnited States
In The Last Decade
Deepika Kanojia
26 papers receiving 1.3k citations
Peers
Comparison fields: 5 of 76
- Molecular Biology 944
- Cancer Research 193
- Immunology 257
- Hematology 103
- Immunology and Allergy 53
Countries citing papers authored by Deepika Kanojia
This map shows the geographic impact of Deepika Kanojia'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 Deepika Kanojia with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Deepika Kanojia more than expected).
Fields of papers citing papers by Deepika Kanojia
This network shows the impact of papers produced by Deepika Kanojia. 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 Deepika Kanojia. The network helps show where Deepika Kanojia may publish in the future.
Co-authors
The 25 scholars most cited alongside Deepika Kanojia, 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 | 2015 | 173 | |
| 2 | 2016 | 168 | |
| 3 | 2015 | 110 | |
| 4 | 2011 | 75 | |
| 5 | 2008 | 70 | |
| 6 | 2009 | 69 | |
| 7 | 2009 | 64 | |
| 8 | 2013 | 64 | |
| 9 | 2007 | 63 | |
| 10 | 2014 | 55 | |
| 11 | 2009 | 53 | |
| 12 | 2010 | 47 | |
| 13 | 2019 | 43 | |
| 14 | 2016 | 42 | |
| 15 | 2009 | 41 | |
| 16 | 2013 | 32 | |
| 17 | 2019 | 31 | |
| 18 | 2009 | 29 | |
| 19 | 2022 | 23 | |
| 20 | 2010 | 19 |
About Deepika Kanojia
Deepika Kanojia is a scholar working on Molecular Biology, Immunology, Radiology, Nuclear Medicine and Imaging, Hematology and Pathology and Forensic Medicine, having authored 26 papers that have together received 1.3k indexed citations. Recurring topics across this work include Immunotherapy and Immune Responses (6 papers), Protein Degradation and Inhibitors (4 papers), RNA Research and Splicing (4 papers), Sarcoma Diagnosis and Treatment (3 papers), RNA Interference and Gene Delivery (3 papers), Monoclonal and Polyclonal Antibodies Research (3 papers), Virus-based gene therapy research (2 papers) and Genomics and Chromatin Dynamics (2 papers). The work is most often cited by research in Molecular Biology (944 citations), Cancer Research (193 citations), Immunology (257 citations), Hematology (103 citations) and Immunology and Allergy (53 citations). Deepika Kanojia has collaborated with scholars based in India, Singapore and United States. Frequent co-authors include Manoj Garg, Anil Suri, Anju Gupta, H. Phillip Koeffler, Sushma Suri, Samir Gupta, Vikas Madan, Henry Yang, Rajive Kumar and Anand Mayakonda. Their work appears in journals such as Cancer, The Journal of Clinical Endocrinology & Metabolism, Nature Communications, PLoS ONE and Cancer 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.