Sonja Textor

855 citations
10 papers · 707 indexed · h-index 9

Impact in

  • Immunology top 5%
    • Immune Cell Function and Interaction
    • T-cell and B-cell Immunology
    • Immunotherapy and Immune Responses
    • Immune cells in cancer
    • Reproductive System and Pregnancy
  • 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 3
    • Immunotherapy and Immune Responses 2
    • CAR-T cell therapy research 4

Sonja Textor

10 papers receiving 695 citations

Peers

Sonja Textor
Comparison fields: 5 of 69
  • Immunology 575
  • Oncology 363
  • Hematology 34
  • Cancer Research 45
  • Virology 10
Replace Sarah S. Gabriel with:
Sarah S. Gabriel Australia
Morgan Grau France
Marte Fauskanger Norway
Claudia Manzini Italy
Telma Lança Portugal
Hilde Omholt Norway
Y. Maurice Morillon United States
Priyanka Duttagupta United States
Jennifer A. Foltz United States
Amandine Créquer United States
Sonja Textor relative to Sarah S. Gabriel Australia Sarah S. Gabriel's profile →
Citations per field
00.5×10.8×
Sarah S. Gabriel · 1×
Citations per year

Countries citing papers authored by Sonja Textor

Since Specialization
Citations

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

Fields of papers citing papers by Sonja Textor

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

10 of 10 papers shown
#Work
1 2014169
2 2011169
3 2013104
4 200878
5 200860
6 201642
7 200740
8 200922
9 201016
10 20147

About Sonja Textor

Sonja Textor is a scholar working on Immunology, Oncology, Epidemiology, Molecular Biology and Surgery, having authored 10 papers that have together received 707 indexed citations. Recurring topics across this work include Immune Cell Function and Interaction (8 papers), CAR-T cell therapy research (4 papers), T-cell and B-cell Immunology (3 papers), Immunotherapy and Immune Responses (2 papers), Cervical Cancer and HPV Research (2 papers), Cytomegalovirus and herpesvirus research (1 paper), Protein Degradation and Inhibitors (1 paper) and Histone Deacetylase Inhibitors Research (1 paper). The work is most often cited by research in Immunology (575 citations), Oncology (363 citations), Hematology (34 citations), Cancer Research (45 citations) and Virology (10 citations). Sonja Textor has collaborated with scholars based in Germany, France and United States. Frequent co-authors include Adelheid Cerwenka, Nathalie Fiegler, Annette Arnold, Angel Porgador, Thomas G. Hofmann, Gerhard Moldenhauer, Antje Sucker, Annette Paschen, Elke Pogge von Strandmann and Mathias Witzens‐Harig. Their work appears in journals such as International Journal of Cancer, Cancer Research, OncoImmunology, Journal of Dermatological Science and Blood.

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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