Amir Ferry

625 citations
8 papers · 407 · 1 hit paper · h-index 5

Impact in

  • Immunology top 10%
    • Immune Cell Function and Interaction
    • T-cell and B-cell Immunology
    • Immunotherapy and Immune Responses
    • Immune cells in cancer
    • CAR-T cell therapy research
    • Cancer Immunotherapy and Biomarkers

Papers in

    • Immune Cell Function and Interaction 6
    • T-cell and B-cell Immunology 5
    • Immunotherapy and Immune Responses 1
    • Cancer Immunotherapy and Biomarkers 3
    • CAR-T cell therapy research 1

Amir Ferry

6 papers receiving 406 citations

Amir Ferry's Hit Papers

Tissue-resident memory CD8 T cell diversity is spatiotemporally imprinted 2025 · 34 citations
340Years since publication102030

Peers

Amir Ferry
Comparison fields: 5 of 48
  • Immunology 283
  • Oncology 128
  • Cancer Research 38
  • Biological Psychiatry 4
  • Transplantation 4
Replace Ben Wylie with:
Ben Wylie Australia
Jenna L. Collier United States
Lindsay K. Ward-Kavanagh United States
Sam Sheppard United States
Rita J. Luther United States
Hristo Georgiev Germany
Jordan Loeliger Switzerland
Yoann Missolo-Koussou France
Elisenda Alari‐Pahissa Spain
Keigo Kubota Japan
Amir Ferry relative to Ben Wylie Australia Ben Wylie's profile →
Citations per field
00.5×4.6×
Ben Wylie · 1×
Citations per year

Countries citing papers authored by Amir Ferry

Since Specialization
Citations

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

Fields of papers citing papers by Amir Ferry

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

8 of 8 papers shown
#Work
1 2022155
2 2021111
3 201854
4 202249
5
Tissue-resident memory CD8 T cell diversity is spatiotemporally imprinted
Hit paper breakdown →
202534
6 20244
7 20260
8 20260

About Amir Ferry

Amir Ferry is a scholar working on Immunology, Oncology, Molecular Biology, Infectious Diseases and Organic Chemistry, having authored 8 papers that have together received 407 indexed citations. Recurring topics across this work include Immune Cell Function and Interaction (6 papers), T-cell and B-cell Immunology (5 papers), Cancer Immunotherapy and Biomarkers (3 papers), Single-cell and spatial transcriptomics (2 papers), CAR-T cell therapy research (1 paper) and Immunotherapy and Immune Responses (1 paper). The work is most often cited by research in Immunology (283 citations), Oncology (128 citations), Cancer Research (38 citations), Biological Psychiatry (4 citations) and Transplantation (4 citations). Amir Ferry has collaborated with scholars based in United States and United Kingdom. Frequent co-authors include Ananda W. Goldrath, Kyla Omilusik, John T. Chang, Maximilian Heeg, Clara Toma, J. Justin Milner, Zhaoren He, John T. Crowl, Sam Sheppard and Nadia Guerra. Their work appears in journals such as The Journal of Experimental Medicine, Frontiers in Immunology, Immunity, Nature Immunology and Nature.

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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