Noémi Nagy

2.3k citations
71 papers · 1.8k indexed · h-index 24

Impact in

  • Immunology top 5%
    • Immune Cell Function and Interaction
    • T-cell and B-cell Immunology
    • Immunotherapy and Immune Responses
  • Oncology top 5%
    • Viral-associated cancers and disorders

Papers in

    • Viral-associated cancers and disorders 42
    • Immune Cell Function and Interaction 27
    • Immunotherapy and Immune Responses 11
    • T-cell and Retrovirus Studies 5

Noémi Nagy

68 papers receiving 1.7k citations

Peers

Noémi Nagy
Comparison fields: 5 of 93
  • Immunology 787
  • Oncology 867
  • Pathology and Forensic Medicine 451
  • Hematology 122
  • Infectious Diseases 189
Replace Danny F. Dukers with:
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Andreas Moosmann Germany
Masakatsu Hishizawa Japan
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W Vos Netherlands
Ken‐Ichi Imadome Japan
Silvio Roncella Italy
Deanna M. Grote United States
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Citations per field
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Danny F. Dukers · 1×
Citations per year

Countries citing papers authored by Noémi Nagy

Since Specialization
Citations

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

Fields of papers citing papers by Noémi Nagy

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

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

All Works

20 of 20 papers shown
#Work
1 20235
2 202312
3 202219
4 202133
5 20215
6 201923
7 20188
8 20173
9 201616
10 201429
11 201413
12 201222
13 201018
14 201011
15 200645
16 200410
17 200215
18 200114
19 199920
20 199811

About Noémi Nagy

Noémi Nagy is a scholar working on Oncology, Immunology, Pathology and Forensic Medicine, Genetics and Infectious Diseases, having authored 71 papers that have together received 1.8k indexed citations. Recurring topics across this work include Viral-associated cancers and disorders (42 papers), Immune Cell Function and Interaction (27 papers), Lymphoma Diagnosis and Treatment (21 papers), Cytomegalovirus and herpesvirus research (18 papers), Immunotherapy and Immune Responses (11 papers), Chronic Lymphocytic Leukemia Research (10 papers), Parvovirus B19 Infection Studies (9 papers) and T-cell and Retrovirus Studies (5 papers). The work is most often cited by research in Immunology (787 citations), Oncology (867 citations), Pathology and Forensic Medicine (451 citations), Hematology (122 citations) and Infectious Diseases (189 citations). Noémi Nagy has collaborated with scholars based in Sweden, Japan and United States. Frequent co-authors include Eva Klein, Lóránd Kis, George Klein, Dániel Salamon, Miki Takahara, Cindy Gutzeit, Annika Scheynius, Helen Vallhov, Susanne Gabrielsson and George Klein. Their work appears in journals such as International Journal of Cancer, Immunology Letters, Frontiers in Immunology, Proceedings of the National Academy of Sciences and The Journal of Immunology.

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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