Sonia Netzer

1.4k citations
13 papers · 1.2k · h-index 11

Impact in

  • Immunology top 5%
    • Immune Cell Function and Interaction
    • T-cell and B-cell Immunology
    • Immunotherapy and Immune Responses
    • Immune Response and Inflammation
  • Oncology top 10%
    • CAR-T cell therapy research
    • Cancer Immunotherapy and Biomarkers

Papers in

    • Immune Cell Function and Interaction 8
    • T-cell and B-cell Immunology 7
    • Immunotherapy and Immune Responses 2
    • Cytomegalovirus and herpesvirus research 5

Sonia Netzer

12 papers receiving 1.2k citations

Peers

Sonia Netzer
Comparison fields: 5 of 72
  • Immunology 870
  • Oncology 352
  • Epidemiology 155
  • Immunology and Allergy 21
  • Hematology 36
Replace Shiyue Hou with:
Shiyue Hou China
Anna Chan Australia
Machiko Atsuta Japan
Roybel R. Ramiscal Australia
Lindsay L. Jones United States
Myriam Capone France
Elissa L. Sutcliffe Australia
Verena Voelter Switzerland
Claudine Blaser Germany
Eunseon Ahn United States
Sonia Netzer relative to Shiyue Hou China Shiyue Hou's profile →
Citations per field
00.5×1.5×1.9×
Shiyue Hou · 1×
Citations per year

Countries citing papers authored by Sonia Netzer

Since Specialization
Citations

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

Fields of papers citing papers by Sonia Netzer

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

13 of 13 papers shown
#Work
1 2012462
2 2012265
3 2017125
4 201571
5 200265
6 200954
7 202147
8 201340
9 201123
10 200212
11 202412
12 20245
13 20130

About Sonia Netzer

Sonia Netzer is a scholar working on Immunology, Epidemiology, Oncology, Cancer Research and Molecular Biology, having authored 13 papers that have together received 1.2k indexed citations. Recurring topics across this work include Immune Cell Function and Interaction (8 papers), T-cell and B-cell Immunology (7 papers), Cytomegalovirus and herpesvirus research (5 papers), Immunotherapy and Immune Responses (2 papers), Pancreatic function and diabetes (1 paper), CAR-T cell therapy research (1 paper), Axon Guidance and Neuronal Signaling (1 paper) and S100 Proteins and Annexins (1 paper). The work is most often cited by research in Immunology (870 citations), Oncology (352 citations), Epidemiology (155 citations), Immunology and Allergy (21 citations) and Hematology (36 citations). Sonia Netzer has collaborated with scholars based in France, United Kingdom and United States. Frequent co-authors include Julie Déchanet‐Merville, Jean‐François Moreau, Vincent Pitard, Christelle Harly, Emmanuel Scotet, Marc Bonneville, Carrie R. Willcox, Benjamin E. Willcox, Lionel Couzi and Yves Claude Guillaume. Their work appears in journals such as PLoS Pathogens, Blood, Nature Immunology, The Journal of Infectious Diseases and Journal of Clinical Investigation.

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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