Dedeepya Vaka

98 total papers · 4.6k total citations
18 papers, 1.4k citations indexed

About

Dedeepya Vaka is a scholar working on Molecular Biology, Oncology and Cancer Research. According to data from OpenAlex, Dedeepya Vaka has authored 18 papers receiving a total of 1.4k indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Molecular Biology, 8 papers in Oncology and 6 papers in Cancer Research. Recurrent topics in Dedeepya Vaka's work include Cancer Cells and Metastasis (5 papers), Cancer Genomics and Diagnostics (3 papers) and Neuroendocrine Tumor Research Advances (2 papers). Dedeepya Vaka is often cited by papers focused on Cancer Cells and Metastasis (5 papers), Cancer Genomics and Diagnostics (3 papers) and Neuroendocrine Tumor Research Advances (2 papers). Dedeepya Vaka collaborates with scholars based in United States, Canada and Israel. Dedeepya Vaka's co-authors include Atul J. Butte, Purvesh Khatri, Richard M. Locksley, Jesse C. Nussbaum, Walter L. Eckalbar, Anne‐Flore Zmoos, Steven J. Van Dyken, Jinwoo Lee, Christoph Schneider and Julien Sage and has published in prestigious journals such as Cell, Journal of Clinical Investigation and Nature Immunology.

In The Last Decade

Dedeepya Vaka

17 papers receiving 1.3k citations

Hit Papers

Tissue signals imprint IL... 2018 2026 2020 2023 2018 100 200 300

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author Last Decade Papers Cites
Dedeepya Vaka 660 397 395 263 202 18 1.4k
Morgan O’Hayre 922 1.4× 286 0.7× 418 1.1× 94 0.4× 140 0.7× 18 1.5k
Victor Kotelianski 863 1.3× 436 1.1× 123 0.3× 333 1.3× 314 1.6× 16 1.7k
Mark C. Kelley 633 1.0× 358 0.9× 638 1.6× 141 0.5× 232 1.1× 26 1.3k
Veronica C. Ardi 596 0.9× 531 1.3× 539 1.4× 90 0.3× 335 1.7× 15 1.4k
Travis W. Bainbridge 769 1.2× 318 0.8× 692 1.8× 85 0.3× 194 1.0× 23 1.6k
Christopher T. Cummings 659 1.0× 535 1.3× 315 0.8× 109 0.4× 158 0.8× 28 1.4k
Eugene Einhorn 733 1.1× 113 0.3× 542 1.4× 143 0.5× 180 0.9× 22 1.3k
Punit Saraon 799 1.2× 148 0.4× 233 0.6× 84 0.3× 266 1.3× 25 1.5k
Jessica Pruessmeyer 610 0.9× 250 0.6× 356 0.9× 65 0.2× 237 1.2× 15 1.3k
Yongping Song 864 1.3× 434 1.1× 712 1.8× 109 0.4× 254 1.3× 27 1.7k

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-authorship network of co-authors of Dedeepya Vaka

This figure shows the co-authorship network connecting the top 25 collaborators of Dedeepya Vaka. A scholar is included among the top collaborators of Dedeepya Vaka based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Dedeepya Vaka. Dedeepya Vaka is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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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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