Dedeepya Vaka

4.7k citations
18 papers · 1.4k · 1 hit paper · h-index 13

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
    • Cancer Cells and Metastasis 5
    • Lung Cancer Research Studies 2

Dedeepya Vaka

17 papers receiving 1.4k citations

Dedeepya Vaka's Hit Papers

Tissue signals imprint ILC2 identity with anticipatory function 2018 · 327 citations
3270+2+5Years since publication100200300

Peers

Dedeepya Vaka
Comparison fields: 5 of 104
  • Immunology 401
  • Oncology 399
  • Cancer Research 205
  • Molecular Biology 665
  • Surgery 265
Replace Sandro Goruppi with:
Sandro Goruppi United States
Karin Wadt Denmark
Jie Dai China
Mitchell E. Fane United States
Ann Marie Egloff United States
Sílvia Carvalho Israel
Yanyan Han China
Cristina Teixidó Spain
Allie H. Grossmann United States
Aude I. Ségaliny United States
Dedeepya Vaka relative to Sandro Goruppi United States Sandro Goruppi's profile →
Citations per field
00.5×1.5×2.5×
Sandro Goruppi · 1×
Citations per year

Countries citing papers authored by Dedeepya Vaka

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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.

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

All Works

18 of 18 papers shown
#Work
1
Tissue signals imprint ILC2 identity with anticipatory function
Hit paper breakdown →
2018327
2 2013275
3 2014156
4 2014116
5 2013113
6 2012102
7 201470
8 201749
9 202243
10 202432
11 201432
12 201726
13 202422
14 20193
15 20142
16 20131
17 20161
18 20250

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.

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