Alan DenAdel

700 citations
5 papers · 427 · 1 hit paper · h-index 3

Impact in

    • Pancreatic and Hepatic Oncology Research
    • Cancer Cells and Metastasis
    • Cancer Immunotherapy and Biomarkers
    • Cancer Genomics and Diagnostics

Papers in

    • Cancer Genomics and Diagnostics 1
    • Single-cell and spatial transcriptomics 2
    • Gene expression and cancer classification 1
    • RNA modifications and cancer 1
    • Extracellular vesicles in disease 1

Alan DenAdel

4 papers receiving 425 citations

Alan DenAdel's Hit Papers

Microenvironment drives cell state, plasticity, and drug response in pancreatic cancer 2021 · 403 citations
4030+1+3Years since publication100200300400

Peers

Alan DenAdel
Comparison fields: 5 of 53
  • Oncology 226
  • Cancer Research 121
  • Molecular Biology 173
  • Immunology 46
  • Biophysics 12
Replace Manisha S. Raghavan with:
Manisha S. Raghavan India
Nolawit Mulugeta United States
Olga Savelieva Russia
Matan Thangavelu Thangavelu Singapore
Titia G. Meijer Netherlands
Yunqiang Shi China
Howard Pringle United Kingdom
Sanket H. Shah United States
Laura Ogle United Kingdom
Ashley K. Elrod United States
Alan DenAdel relative to Manisha S. Raghavan India Manisha S. Raghavan's profile →
Citations per field
00.5×1.5×
Manisha S. Raghavan · 1×
Citations per year

Countries citing papers authored by Alan DenAdel

Since Specialization
Citations

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

Fields of papers citing papers by Alan DenAdel

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 8 scholars most cited alongside Alan DenAdel, 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 Alan DenAdel Line = papers co-authored together Alan DenAdel links everyone, so they are left out of the graph.

All Works

5 of 5 papers shown

About Alan DenAdel

Alan DenAdel is a scholar working on Cancer Research, Molecular Biology, Computational Mechanics, Oncology and Genetics, having authored 5 papers that have together received 427 indexed citations. Recurring topics across this work include Single-cell and spatial transcriptomics (2 papers), Genetic Mapping and Diversity in Plants and Animals (1 paper), Genetic and phenotypic traits in livestock (1 paper), Machine Learning and Data Classification (1 paper), Gene expression and cancer classification (1 paper), RNA modifications and cancer (1 paper), Cancer Genomics and Diagnostics (1 paper) and Extracellular vesicles in disease (1 paper). The work is most often cited by research in Oncology (226 citations), Cancer Research (121 citations), Molecular Biology (173 citations), Immunology (46 citations) and Biophysics (12 citations). Alan DenAdel has collaborated with scholars based in United States and United Kingdom. Frequent co-authors include Lorin A. Crawford, Daniel M. Weinreich, Peter S. Winter, Ava P. Amini, Alex K. Shalek (He/Him), Srivatsan Raghavan, Nicolò Fusi and Andrew W. Navia. Their work appears in journals such as Nature Methods, Cell, Wiley Interdisciplinary Reviews Computational Statistics, G3 Genes Genomes Genetics and The American Journal of Human Genetics.

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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