Natalie Sutkowski

1.1k citations
23 papers · 866 · h-index 13

Impact in

  • Immunology top 10%
    • Immune Cell Function and Interaction
    • T-cell and B-cell Immunology
    • Immunotherapy and Immune Responses

Papers in

    • Viral-associated cancers and disorders 7
    • CAR-T cell therapy research 5
    • T-cell and B-cell Immunology 4
    • Immunotherapy and Immune Responses 3

Natalie Sutkowski

22 papers receiving 841 citations

Peers

Natalie Sutkowski
Comparison fields: 5 of 62
  • Immunology 301
  • Otorhinolaryngology 49
  • Oncology 195
  • Plant Science 265
  • Epidemiology 184
Replace Hsin‐Pai Li with:
Hsin‐Pai Li Taiwan
J. M. Seigneurin France
William T. Seaman United States
Tadamasa Ooka France
Kan Toriyama Japan
L. M. Tieben Netherlands
Salah Mansour United Kingdom
Takao Kinjo Japan
Dhananjay M. Nawandar United States
Michael C. Owens United States
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Citations per field
00.5×7.8×
Hsin‐Pai Li · 1×
Citations per year

Countries citing papers authored by Natalie Sutkowski

Since Specialization
Citations

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

Fields of papers citing papers by Natalie Sutkowski

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 23 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2001249
2 2001115
3 1996111
4 200479
5
Expression of human endogenous retrovirus HERV-K18 superantigen is elevated in juvenile rheumatoid arthritis.
200554
6 200852
7 199643
8 200938
9 201533
10 199616
11 200615
12 199412
13 201212
14 200110
15 19956
16
Human papillomavirus and head and neck cancer: a growing concern.
20085
17 19934
18
A murine model for genetic manipulation of the T cell compartment.
19964
19 19983
20 19962

About Natalie Sutkowski

Natalie Sutkowski is a scholar working on Oncology, Immunology, Epidemiology, Otorhinolaryngology and Genetics, having authored 23 papers that have together received 866 indexed citations. Recurring topics across this work include Viral-associated cancers and disorders (7 papers), Cytomegalovirus and herpesvirus research (6 papers), CAR-T cell therapy research (5 papers), Head and Neck Cancer Studies (4 papers), T-cell and B-cell Immunology (4 papers), Herpesvirus Infections and Treatments (4 papers), Virus-based gene therapy research (4 papers) and Immunotherapy and Immune Responses (3 papers). The work is most often cited by research in Immunology (301 citations), Otorhinolaryngology (49 citations), Oncology (195 citations), Plant Science (265 citations) and Epidemiology (184 citations). Natalie Sutkowski has collaborated with scholars based in United States, Switzerland and Canada. Frequent co-authors include Brigitte T. Huber, Bernard Conrad, Germán Calderón, Gang Chen, Cristina Ciurli, Rafick‐Pierre Sékaly, David A. Thorley‐Lawson, Ping‐Ning Hsu, M. Boyd Gillespie and Françoise Meylan. Their work appears in journals such as Blood, The Journal of Immunology, Immunity, Journal of Virology and Trends in Microbiology.

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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