Dedeepya Vaka
Impact in
- Immunology top 10%
- IL-33, ST2, and ILC Pathways
- Immune Cell Function and Interaction
- Oncology top 10%
- Cancer Cells and Metastasis
Papers in
-
- Cancer therapeutics and mechanisms 2
- Epigenetics and DNA Methylation 2
- Oncology 8
- Cancer Cells and Metastasis 5
- Lung Cancer Research Studies 2
- Co-authors
- Atul J. Butte (5 shared papers)Purvesh Khatri (4 shared papers)Richard M. Locksley (3 shared papers)Anne‐Flore Zmoos (4 shared papers)David J. Erle (1 shared paper)Jesse C. Nussbaum (1 shared paper)Roberto R. Ricardo-González (2 shared papers)Julien Sage (4 shared papers)
- Journals
- Cancer Research (4 papers)Cell stem cell (2 papers)Cell (2 papers)Cancer Discovery (2 papers)Cancer Cell (1 paper)
- Partner nations
- United StatesCanadaTürkiye
In The Last Decade
Dedeepya Vaka
17 papers receiving 1.4k citations
Dedeepya Vaka's Hit Papers
Peers
Comparison fields: 5 of 104
- Immunology 401
- Oncology 399
- Cancer Research 205
- Molecular Biology 665
- Surgery 265
Countries citing papers authored by Dedeepya Vaka
This map shows the geographic impact of Dedeepya Vaka'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 Dedeepya Vaka with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Dedeepya Vaka more than expected).
Fields of papers citing papers by Dedeepya Vaka
This network shows the impact of papers produced by Dedeepya Vaka. 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 Dedeepya Vaka. The network helps show where Dedeepya Vaka may publish in the future.
Co-authors
The 25 scholars most cited alongside Dedeepya Vaka, 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 | Tissue signals imprint ILC2 identity with anticipatory function Hit paper breakdown → | 2018 | 327 |
| 2 | 2013 | 275 | |
| 3 | 2014 | 156 | |
| 4 | 2014 | 116 | |
| 5 | 2013 | 113 | |
| 6 | 2012 | 102 | |
| 7 | 2014 | 70 | |
| 8 | 2017 | 49 | |
| 9 | 2022 | 43 | |
| 10 | 2024 | 32 | |
| 11 | 2014 | 32 | |
| 12 | 2017 | 26 | |
| 13 | 2024 | 22 | |
| 14 | 2019 | 3 | |
| 15 | 2014 | 2 | |
| 16 | 2013 | 1 | |
| 17 | 2016 | 1 | |
| 18 | 2025 | 0 |
About Dedeepya Vaka
Dedeepya Vaka is a scholar working on Molecular Biology, Oncology, Cancer Research, Surgery and Pulmonary and Respiratory Medicine, having authored 18 papers that have together received 1.4k indexed citations. Recurring topics across this work include Cancer Cells and Metastasis (5 papers), Cancer Genomics and Diagnostics (3 papers), Cancer therapeutics and mechanisms (2 papers), Epigenetics and DNA Methylation (2 papers), Cancer-related molecular mechanisms research (2 papers), Lung Cancer Research Studies (2 papers), Immune Cell Function and Interaction (2 papers) and IL-33, ST2, and ILC Pathways (2 papers). The work is most often cited by research in Immunology (401 citations), Oncology (399 citations), Cancer Research (205 citations), Molecular Biology (665 citations) and Surgery (265 citations). Dedeepya Vaka has collaborated with scholars based in United States, Canada and Türkiye. Frequent co-authors include Atul J. Butte, Purvesh Khatri, Richard M. Locksley, Anne‐Flore Zmoos, David J. Erle, Jesse C. Nussbaum, Roberto R. Ricardo-González, Julien Sage, Ari B. Molofsky and Hong-Erh Liang. Their work appears in journals such as Cancer Research, Cell stem cell, Cell, Cancer Discovery and Cancer Cell.
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.