Disha Dadke

422 citations
8 papers · 228 · h-index 6

Impact in

Papers in

    • Ubiquitin and proteasome pathways 2
    • Histone Deacetylase Inhibitors Research 1
    • HER2/EGFR in Cancer Research 2

Disha Dadke

7 papers receiving 224 citations

Peers

Disha Dadke
Comparison fields: 5 of 51
  • Immunology and Allergy 42
  • Cell Biology 61
  • Oncology 64
  • Molecular Biology 155
  • Cancer Research 31
Replace Tessa Humphries‐Bickley with:
Tessa Humphries‐Bickley Puerto Rico
Hisashi Kurata Japan
Chloé Prunier Netherlands
Johanna I. Englund Finland
Habib Bouguenina United Kingdom
Fiona K. Rae Australia
Naohiro Katagiri Japan
Marina Roy-Luzarraga United Kingdom
Angela De Laurentiis Italy
Disha Dadke relative to Tessa Humphries‐Bickley Puerto Rico Tessa Humphries‐Bickley's profile →
Citations per field
00.5×1.5×1.8×
Tessa Humphries‐Bickley · 1×
Citations per year

Countries citing papers authored by Disha Dadke

Since Specialization
Citations

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

Fields of papers citing papers by Disha Dadke

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 19 scholars most cited alongside Disha Dadke, 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 Disha Dadke Line = papers co-authored together Disha Dadke links everyone, so they are left out of the graph.

All Works

8 of 8 papers shown
#Work
1 200856
2
Activation of p21-activated kinase 1-nuclear factor kappaB signaling by Kaposi's sarcoma-associated herpes virus G protein-coupled receptor during cellular transformation.
200356
3 200652
4 200734
5 200218
6 200211
7 20231
8 20240

About Disha Dadke

Disha Dadke is a scholar working on Molecular Biology, Oncology, Immunology, Radiology, Nuclear Medicine and Imaging and Cell Biology, having authored 8 papers that have together received 228 indexed citations. Recurring topics across this work include HER2/EGFR in Cancer Research (2 papers), Biosimilars and Bioanalytical Methods (2 papers), Radiopharmaceutical Chemistry and Applications (2 papers), Ubiquitin and proteasome pathways (2 papers), Cellular Mechanics and Interactions (2 papers), Microtubule and mitosis dynamics (1 paper), interferon and immune responses (1 paper) and Histone Deacetylase Inhibitors Research (1 paper). The work is most often cited by research in Immunology and Allergy (42 citations), Cell Biology (61 citations), Oncology (64 citations), Molecular Biology (155 citations) and Cancer Research (31 citations). Disha Dadke has collaborated with scholars based in United States, India and Slovakia. Frequent co-authors include Erica A. Golemis, Mahendra Singh, Benjamin H. Fryer, Jeffrey Field, Émmanuelle Nicolas, Elena N. Pugacheva, Michael Jarnik, Sinoula Apostolou, Ilya G. Serebriiskii and Adrian A. Canutescu. Their work appears in journals such as Molecular Biology of the Cell, BioTechniques, Oncogene, Annals of Oncology and Clinical Drug Investigation.

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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