Deepak Parashar
Impact in
- Cancer Research top 10%
- MicroRNA in disease regulation
- Cancer-related molecular mechanisms research
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- Cancer Immunotherapy and Biomarkers
- Cancer Cells and Metastasis
Papers in
-
- Extracellular vesicles in disease 8
- RNA Interference and Gene Delivery 5
- Circular RNAs in diseases 4
- Immunology 19
- Immunotherapy and Immune Responses 10
- Immune Cell Function and Interaction 6
- Co-authors
- Sumit Agarwal (11 shared papers)Nirmala Jagadish (11 shared papers)Anil Suri (11 shared papers)Saurabh Gupta (15 shared papers)Anjali Geethadevi (12 shared papers)Nirmal Kumar Lohiya (8 shared papers)Pradeep Chaluvally–Raghavan (8 shared papers)Namita Gupta (7 shared papers)
- Journals
- OncoImmunology (4 papers)Molecular Biology Reports (4 papers)Cancers (3 papers)npj Precision Oncology (3 papers)Blood (2 papers)
- Partner nations
- IndiaUnited StatesFrance
In The Last Decade
Deepak Parashar
52 papers receiving 846 citations
Peers
Comparison fields: 5 of 97
- Cancer Research 209
- Oncology 224
- Immunology 171
- Molecular Biology 538
- Aging 8
Countries citing papers authored by Deepak Parashar
This map shows the geographic impact of Deepak Parashar'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 Parashar with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Deepak Parashar more than expected).
Fields of papers citing papers by Deepak Parashar
This network shows the impact of papers produced by Deepak Parashar. 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 Parashar. The network helps show where Deepak Parashar may publish in the future.
Co-authors
The 25 scholars most cited alongside Deepak Parashar, 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 53 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2019 | 65 | |
| 2 | 2022 | 55 | |
| 3 | 2016 | 47 | |
| 4 | 2022 | 43 | |
| 5 | 2020 | 37 | |
| 6 | 2013 | 37 | |
| 7 | 2012 | 36 | |
| 8 | 2013 | 35 | |
| 9 | 2023 | 34 | |
| 10 | 2015 | 33 | |
| 11 | 2013 | 32 | |
| 12 | 2020 | 29 | |
| 13 | 2023 | 23 | |
| 14 | 2021 | 23 | |
| 15 | 2022 | 22 | |
| 16 | 2019 | 22 | |
| 17 | 2023 | 21 | |
| 18 | 2018 | 21 | |
| 19 | 2013 | 20 | |
| 20 | 2016 | 20 |
About Deepak Parashar
Deepak Parashar is a scholar working on Molecular Biology, Immunology, Oncology, Cancer Research and Surgery, having authored 53 papers that have together received 859 indexed citations. Recurring topics across this work include Immunotherapy and Immune Responses (10 papers), Extracellular vesicles in disease (8 papers), MicroRNA in disease regulation (7 papers), Immune Cell Function and Interaction (6 papers), RNA Interference and Gene Delivery (5 papers), Circular RNAs in diseases (4 papers), Cancer Immunotherapy and Biomarkers (4 papers) and Cancer Cells and Metastasis (3 papers). The work is most often cited by research in Cancer Research (209 citations), Oncology (224 citations), Immunology (171 citations), Molecular Biology (538 citations) and Aging (8 citations). Deepak Parashar has collaborated with scholars based in India, United States and France. Frequent co-authors include Sumit Agarwal, Nirmala Jagadish, Anil Suri, Saurabh Gupta, Anjali Geethadevi, Nirmal Kumar Lohiya, Pradeep Chaluvally–Raghavan, Namita Gupta, Shikha Saini and Abdul S. Ansari. Their work appears in journals such as OncoImmunology, Molecular Biology Reports, Cancers, npj Precision Oncology and Blood.
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.