Elliot Norry

1.0k citations
31 papers · 371 · h-index 10

Impact in

  • Oncology top 10%
    • CAR-T cell therapy research
    • Cancer Immunotherapy and Biomarkers
    • Vascular Tumors and Angiosarcomas
    • Immunotherapy and Immune Responses
    • Immune Cell Function and Interaction

Papers in

    • CAR-T cell therapy research 26
    • Cancer Immunotherapy and Biomarkers 8
    • Immunotherapy and Immune Responses 20
    • Biosimilars and Bioanalytical Methods 3

Elliot Norry

30 papers receiving 360 citations

Peers

Elliot Norry
Comparison fields: 5 of 37
  • Oncology 316
  • Immunology 172
  • Pulmonary and Respiratory Medicine 107
  • Hepatology 22
  • Genetics 65
Replace Guanghai Dai with:
Guanghai Dai China
Casilda Llácer Spain
Éléonore De Guillebon France
William N. Bell United States
John Joseph Wright United States
Christian Quack Germany
Minh Tran United States
Xianchao Lin China
Xile Zhou China
Vincent Armenio United States
Elliot Norry relative to Guanghai Dai China Guanghai Dai's profile →
Citations per field
00.5×2.9×
Guanghai Dai · 1×
Citations per year

Countries citing papers authored by Elliot Norry

Since Specialization
Citations

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

Fields of papers citing papers by Elliot Norry

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 31 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201969
2 201845
3 201545
4 202039
5 202131
6 201718
7 201814
8 202212
9 201911
10 202010
11 20249
12 20188
13 20218
14 20238
15 20168
16 20166
17 20234
18 20174
19 20244
20 20233

About Elliot Norry

Elliot Norry is a scholar working on Oncology, Immunology, Pulmonary and Respiratory Medicine, Biotechnology and Surgery, having authored 31 papers that have together received 371 indexed citations. Recurring topics across this work include CAR-T cell therapy research (26 papers), Immunotherapy and Immune Responses (20 papers), Cancer Immunotherapy and Biomarkers (8 papers), Cancer Research and Treatments (7 papers), Sarcoma Diagnosis and Treatment (6 papers), Biosimilars and Bioanalytical Methods (3 papers), Cell Adhesion Molecules Research (2 papers) and Bladder and Urothelial Cancer Treatments (2 papers). The work is most often cited by research in Oncology (316 citations), Immunology (172 citations), Pulmonary and Respiratory Medicine (107 citations), Hepatology (22 citations) and Genetics (65 citations). Elliot Norry has collaborated with scholars based in United States, Spain and Canada. Frequent co-authors include Trupti Trivedi, Rafael G. Amado, Jean‐Marc Navenot, Sandra P. D’Angelo, Karen Chagin, Dennis Williams, Brian Andrew Van Tine, Erin Van Winkle, Lini Pandite and Luca Melchiori. Their work appears in journals such as Journal of Clinical Oncology, Cancer Research, Melanoma Research, Immunology and Blood.

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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