Deepal Wakade
Impact in
- Oncology top 10%
- Cancer Immunotherapy and Biomarkers
- Colorectal Cancer Treatments and Studies
- CAR-T cell therapy research
- Cutaneous Melanoma Detection and Management
- Dermatology top 5%
Papers in
- Oncology 5
- Cancer Immunotherapy and Biomarkers 4
- Cutaneous Melanoma Detection and Management 1
- CAR-T cell therapy research 1
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- Cutaneous lymphoproliferative disorders research 4
- Co-authors
- Pablo Fernández‐Peñas (8 shared papers)Shelley Ji Eun Hwang (8 shared papers)Giuliana Carlos (6 shared papers)Shaun Chou (6 shared papers)Matteo S. Carlino (3 shared papers)Karen Byth (2 shared papers)Benjamin Y. Kong (2 shared papers)Richard Kefford (1 shared paper)
- Journals
- Melanoma Research (4 papers)American Journal of Dermatopathology (1 paper)Australasian Journal of Dermatology (1 paper)Journal of the American Academy of Dermatology (1 paper)Case Reports in Medicine (1 paper)
- Partner nations
- AustraliaUnited States
In The Last Decade
Deepal Wakade
7 papers receiving 410 citations
Peers
Comparison fields: 5 of 37
- Oncology 264
- Dermatology 76
- Periodontics 35
- Pathology and Forensic Medicine 104
- Genetics 33
Countries citing papers authored by Deepal Wakade
This map shows the geographic impact of Deepal Wakade'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 Deepal Wakade with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Deepal Wakade more than expected).
Fields of papers citing papers by Deepal Wakade
This network shows the impact of papers produced by Deepal Wakade. 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 Deepal Wakade. The network helps show where Deepal Wakade may publish in the future.
Co-authors
The 13 scholars most cited alongside Deepal Wakade, 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 | 2016 | 229 | |
| 2 | 2016 | 65 | |
| 3 | 2016 | 34 | |
| 4 | 2016 | 33 | |
| 5 | 2016 | 24 | |
| 6 | 2018 | 22 | |
| 7 | 2017 | 7 | |
| 8 | 2017 | 0 |
About Deepal Wakade
Deepal Wakade is a scholar working on Oncology, Dermatology, Molecular Biology, Pathology and Forensic Medicine and Periodontics, having authored 8 papers that have together received 414 indexed citations. Recurring topics across this work include Cutaneous lymphoproliferative disorders research (4 papers), Cancer Immunotherapy and Biomarkers (4 papers), Oral Health Pathology and Treatment (2 papers), Melanoma and MAPK Pathways (2 papers), Autoimmune Bullous Skin Diseases (2 papers), Cutaneous Melanoma Detection and Management (1 paper), Drug-Induced Adverse Reactions (1 paper) and CAR-T cell therapy research (1 paper). The work is most often cited by research in Oncology (264 citations), Dermatology (76 citations), Periodontics (35 citations), Pathology and Forensic Medicine (104 citations) and Genetics (33 citations). Deepal Wakade has collaborated with scholars based in Australia and United States. Frequent co-authors include Pablo Fernández‐Peñas, Shelley Ji Eun Hwang, Giuliana Carlos, Shaun Chou, Matteo S. Carlino, Karen Byth, Benjamin Y. Kong, Richard Kefford, Raghwa Sharma and Rina Hui. Their work appears in journals such as Melanoma Research, American Journal of Dermatopathology, Australasian Journal of Dermatology, Journal of the American Academy of Dermatology and Case Reports in 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.