Diana Avery

895 citations
5 papers · 718 · 1 hit paper · h-index 5

Impact in

  • Oncology top 5%
    • Cancer Cells and Metastasis
    • Peptidase Inhibition and Analysis
    • Pancreatic and Hepatic Oncology Research
    • CAR-T cell therapy research
    • Cancer Immunotherapy and Biomarkers
    • Immune cells in cancer

Papers in

    • Peptidase Inhibition and Analysis 4
    • Pancreatic and Hepatic Oncology Research 1
    • Signaling Pathways in Disease 1

Diana Avery

5 papers receiving 711 citations

Diana Avery's Hit Papers

Tumor-Promoting Desmoplasia Is Disrupted by Depleting FAP-Expressing Stromal Cells 2015 · 407 citations
4070+3+7Years since publication100200300400

Peers

Diana Avery
Comparison fields: 5 of 60
  • Oncology 567
  • Immunology 199
  • Cancer Research 135
  • Biotechnology 37
  • Molecular Biology 227
Replace Sharon Wei Ling Lee with:
Sharon Wei Ling Lee Singapore
Noboru Ando Japan
Quanhai Li China
Kanako Yuki Japan
Julia Fröse United States
Jo Keeble Singapore
Marina Cihova Slovakia
Lambert Potin United States
Amélien Sanlaville France
Matthew LeBoeuf United States
Diana Avery relative to Sharon Wei Ling Lee Singapore Sharon Wei Ling Lee's profile →
Citations per field
00.5×9.8×
Sharon Wei Ling Lee · 1×
Citations per year

Countries citing papers authored by Diana Avery

Since Specialization
Citations

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

Fields of papers citing papers by Diana Avery

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

About Diana Avery

Diana Avery is a scholar working on Oncology, Molecular Biology, Epidemiology, Immunology and Allergy and Surgery, having authored 5 papers that have together received 718 indexed citations. Recurring topics across this work include Peptidase Inhibition and Analysis (4 papers), Cell Adhesion Molecules Research (2 papers), Neutrophil, Myeloperoxidase and Oxidative Mechanisms (1 paper), Signaling Pathways in Disease (1 paper), Cytomegalovirus and herpesvirus research (1 paper), Neuroendocrine Tumor Research Advances (1 paper), Herpesvirus Infections and Treatments (1 paper) and Pancreatic and Hepatic Oncology Research (1 paper). The work is most often cited by research in Oncology (567 citations), Immunology (199 citations), Cancer Research (135 citations), Biotechnology (37 citations) and Molecular Biology (227 citations). Diana Avery has collaborated with scholars based in United States and Taiwan. Frequent co-authors include James Monslow, Ellen Puré, Priya Govindaraju, Elizabeth L. Buza, Albert Lo, Kheng Newick, John Scholler, Steven Μ. Albelda, Michele H. Jacob and Shaun O’Brien. Their work appears in journals such as Cancer Research, Matrix Biology, JCI Insight and PLoS ONE.

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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