Devika Ashok

575 citations
16 papers · 444 · h-index 8

Impact in

  • Immunology top 10%
    • Immune Cell Function and Interaction
    • IL-33, ST2, and ILC Pathways
    • Immunotherapy and Immune Responses
    • T-cell and B-cell Immunology
  • Physiology top 5%
    • Adenosine and Purinergic Signaling

Papers in

    • Cancer Immunotherapy and Biomarkers 3
    • Peptidase Inhibition and Analysis 2
    • Adenosine and Purinergic Signaling 7

Devika Ashok

15 papers receiving 435 citations

Peers

Devika Ashok
Comparison fields: 5 of 62
  • Immunology 311
  • Physiology 58
  • Parasitology 16
  • Oncology 59
  • Surgery 94
Replace Eliana Ribechini with:
Eliana Ribechini Germany
Melisa Gorosito Serrán Argentina
Mingjie Zhang China
Valentina Lacconi Italy
Cintia L. Araujo Furlan Argentina
Razi Quadir Netherlands
Dirk Stabenow Germany
Katjana Klages Germany
Daniel J. Fernandez United States
Kelly Blaine United States
Devika Ashok relative to Eliana Ribechini Germany Eliana Ribechini's profile →
Citations per field
00.5×4.5×
Eliana Ribechini · 1×
Citations per year

Countries citing papers authored by Devika Ashok

Since Specialization
Citations

This map shows the geographic impact of Devika Ashok'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 Devika Ashok with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Devika Ashok more than expected).

Fields of papers citing papers by Devika Ashok

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Devika Ashok. 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 Devika Ashok. The network helps show where Devika Ashok may publish in the future.

Co-authors

The 25 scholars most cited alongside Devika Ashok, 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 Devika Ashok Line = papers co-authored together Devika Ashok links everyone, so they are left out of the graph.

All Works

16 of 16 papers shown
#Work
1 2014149
2 2012116
3 201852
4 201447
5 201928
6 201418
7 202014
8 20188
9 20163
10 20193
11 20202
12 20191
13 20191
14 20191
15 20241
16 20250

About Devika Ashok

Devika Ashok is a scholar working on Oncology, Physiology, Immunology, Organic Chemistry and Molecular Biology, having authored 16 papers that have together received 444 indexed citations. Recurring topics across this work include Adenosine and Purinergic Signaling (7 papers), Immunotherapy and Immune Responses (5 papers), T-cell and B-cell Immunology (3 papers), Cancer Immunotherapy and Biomarkers (3 papers), Nanoplatforms for cancer theranostics (3 papers), Click Chemistry and Applications (2 papers), Peptidase Inhibition and Analysis (2 papers) and RNA Interference and Gene Delivery (2 papers). The work is most often cited by research in Immunology (311 citations), Physiology (58 citations), Parasitology (16 citations), Oncology (59 citations) and Surgery (94 citations). Devika Ashok has collaborated with scholars based in Switzerland, United States and Australia. Frequent co-authors include Hans Acha‐Orbea, Fabienne Tacchini‐Cottier, Edit Horváth, Jean Pieters, Daniela Finke, Stéphane Chappaz, Antonius Rolink, Nicole von Burg, Somdeb Bose Dasgupta and Anne Baerenwaldt. Their work appears in journals such as Cancer Research, Frontiers in Immunology, Cancer Immunology Research, Chemical Physics Letters and Immunology.

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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