Deepal Wakade

539 citations
8 papers · 409 · h-index 7

Impact in

  • Oncology top 10%
    • Cancer Immunotherapy and Biomarkers
    • Colorectal Cancer Treatments and Studies
    • CAR-T cell therapy research
    • Cutaneous Melanoma Detection and Management
    • Cutaneous lymphoproliferative disorders research

Papers in

    • Cancer Immunotherapy and Biomarkers 5
    • CAR-T cell therapy research 2
    • Cutaneous Melanoma Detection and Management 2
    • Colorectal Cancer Treatments and Studies 1
    • Melanoma and MAPK Pathways 4

Deepal Wakade

7 papers receiving 405 citations

Peers

Deepal Wakade
Comparison fields: 5 of 42
  • Oncology 307
  • Dermatology 94
  • Periodontics 38
  • Pathology and Forensic Medicine 121
  • Genetics 38
Replace Mona Amini‐Adlé with:
Mona Amini‐Adlé France
Francesco Moro Italy
Mirjam Fässler Switzerland
Sophie Roenneberg Germany
Maria Pilar García Muret Spain
Lucilla Melani Italy
Lina Odqvist Sweden
Stefan Schliep Germany
Margarita María Velásquez‐Lopera Colombia
Julie Alejo United States
Deepal Wakade relative to Mona Amini‐Adlé France Mona Amini‐Adlé's profile →
Citations per field
00.5×10×15×20×23.5×
Mona Amini‐Adlé · 1×
Citations per year

Countries citing papers authored by Deepal Wakade

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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.

Border = papers with Deepal Wakade Line = papers co-authored together Deepal Wakade links everyone, so they are left out of the graph.

All Works

8 of 8 papers shown
#Work
1 2016226
2 201664
3 201633
4 201633
5 201624
6 201822
7 20177
8 20170

About Deepal Wakade

Deepal Wakade is a scholar working on Oncology, Molecular Biology, Dermatology, Pathology and Forensic Medicine and Periodontics, having authored 8 papers that have together received 409 indexed citations. Recurring topics across this work include Cancer Immunotherapy and Biomarkers (5 papers), Melanoma and MAPK Pathways (4 papers), Cutaneous lymphoproliferative disorders research (4 papers), CAR-T cell therapy research (2 papers), Oral Health Pathology and Treatment (2 papers), Cutaneous Melanoma Detection and Management (2 papers), Autoimmune Bullous Skin Diseases (2 papers) and Colorectal Cancer Treatments and Studies (1 paper). The work is most often cited by research in Oncology (307 citations), Dermatology (94 citations), Periodontics (38 citations), Pathology and Forensic Medicine (121 citations) and Genetics (38 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, Journal of the American Academy of Dermatology, Australasian Journal of Dermatology, American Journal of Dermatopathology 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.

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