Irina Redchenko

1.4k citations
20 papers · 919 · h-index 13

Impact in

  • Immunology top 5%
    • Immunotherapy and Immune Responses
    • Immune Cell Function and Interaction
  • Oncology top 5%
    • Viral-associated cancers and disorders
    • Cancer Immunotherapy and Biomarkers
    • CAR-T cell therapy research

Papers in

    • Immunotherapy and Immune Responses 14
    • Immune Cell Function and Interaction 6
    • Cancer Immunotherapy and Biomarkers 5
    • Viral-associated cancers and disorders 3
    • CAR-T cell therapy research 3

Irina Redchenko

19 papers receiving 905 citations

Peers

Irina Redchenko
Comparison fields: 5 of 54
  • Immunology 606
  • Oncology 599
  • Virology 65
  • Pathology and Forensic Medicine 133
  • Epidemiology 239
Replace Franco Marincola with:
Franco Marincola United States
Malcolm K. Brenner United States
Hideki Ohminami Japan
Gianna Ballon United States
Jean‐Paul Molens France
Patrick Squiban France
Michelle A. Neller Australia
J. Joseph Melenhorst United States
Marie Roskrow Germany
R J Armitage Canada
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Citations per field
00.5×3.0×
Franco Marincola · 1×
Citations per year

Countries citing papers authored by Irina Redchenko

Since Specialization
Citations

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

Fields of papers citing papers by Irina Redchenko

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown
#Work
1 1997222
2 2001188
3 2006130
4 200773
5 200763
6 199951
7 201642
8 200539
9 200421
10 199321
11 201717
12 200616
13 202116
14 19948
15 20204
16 19944
17 20182
18 20231
19 20041
20 20210

About Irina Redchenko

Irina Redchenko is a scholar working on Immunology, Oncology, Genetics, Pulmonary and Respiratory Medicine and Epidemiology, having authored 20 papers that have together received 919 indexed citations. Recurring topics across this work include Immunotherapy and Immune Responses (14 papers), Virus-based gene therapy research (7 papers), Immune Cell Function and Interaction (6 papers), Cancer Immunotherapy and Biomarkers (5 papers), Viral-associated cancers and disorders (3 papers), CAR-T cell therapy research (3 papers), NF-κB Signaling Pathways (3 papers) and Lymphoma Diagnosis and Treatment (2 papers). The work is most often cited by research in Immunology (606 citations), Oncology (599 citations), Virology (65 citations), Pathology and Forensic Medicine (133 citations) and Epidemiology (239 citations). Irina Redchenko has collaborated with scholars based in United Kingdom, Russia and United States. Frequent co-authors include Alan B. Rickinson, Neil Blake, Richard Harrop, Miles W. Carroll, Susan M. Kingsman, Neil Steven, Jaap M. Middeldorp, Elisabeth Bloemena, Ann M. Leen and Pauline Meij. Their work appears in journals such as Cancer Immunology Immunotherapy, Immunology Letters, Clinical Cancer Research, Journal of Virology and Cancers.

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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