Hannah Dada

3.7k citations
4 papers · 924 · 1 hit paper · h-index 2

Impact in

  • Immunology top 5%
    • Immunotherapy and Immune Responses
    • Immune Cell Function and Interaction
    • Immune cells in cancer
    • interferon and immune responses
  • Oncology top 5%
    • Cancer Immunotherapy and Biomarkers
    • CAR-T cell therapy research
    • Cytokine Signaling Pathways and Interactions
    • Pancreatic and Hepatic Oncology Research

Papers in

    • Cancer Immunotherapy and Biomarkers 2
    • Pancreatic and Hepatic Oncology Research 1
    • Immunotherapy and Immune Responses 2
    • Immune Cell Function and Interaction 1

Hannah Dada

3 papers receiving 913 citations

Hannah Dada's Hit Papers

Tumor Interferon Signaling Regulates a Multigenic Resistance Program to Immune Checkpoint Blockade 2016 · 834 citations
8340+3+6Years since publication250500750

Peers

Hannah Dada
Comparison fields: 5 of 59
  • Immunology 546
  • Oncology 617
  • Cancer Research 79
  • Pulmonary and Respiratory Medicine 90
  • Genetics 28
Replace Sarah Barrin with:
Sarah Barrin France
Samantha Bucktrout United States
Lavakumar Karyampudi United States
Anusha-Preethi Ganesan United States
Marlous van den Braber Netherlands
Nana-Ama A.S. Anang United States
Jonathan Chabon United States
W.E. Gillanders United States
Daisy Philips Netherlands
Shiping Jiao China
Hannah Dada relative to Sarah Barrin France Sarah Barrin's profile →
Citations per field
00.5×5.9×
Sarah Barrin · 1×
Citations per year

Countries citing papers authored by Hannah Dada

Since Specialization
Citations

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

Fields of papers citing papers by Hannah Dada

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

4 of 4 papers shown

About Hannah Dada

Hannah Dada is a scholar working on Oncology, Immunology, Infectious Diseases, Organic Chemistry and Surgery, having authored 4 papers that have together received 924 indexed citations. Recurring topics across this work include Cancer Immunotherapy and Biomarkers (2 papers), Immunotherapy and Immune Responses (2 papers), Immune Cell Function and Interaction (1 paper) and Pancreatic and Hepatic Oncology Research (1 paper). The work is most often cited by research in Immunology (546 citations), Oncology (617 citations), Cancer Research (79 citations), Pulmonary and Respiratory Medicine (90 citations) and Genetics (28 citations). Hannah Dada has collaborated with scholars based in United States, United Kingdom and Norway. Frequent co-authors include Robert H. Vonderheide, Christina Twyman-Saint Victor, Andy J. Minn, David S.M. Lee, Ravi K. Amaravadi, Michael D. Feldman, Tony J. Wu, Joseph L. Benci, Lynn M. Schuchter and Amit Maity. Their work appears in journals such as Cell, Proceedings of the National Academy of Sciences and Cancer Research.

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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