Saskia Meyer

669 citations
16 papers · 454 · h-index 11

Impact in

  • Immunology top 10%
    • Immune Cell Function and Interaction
    • T-cell and B-cell Immunology
    • Immunotherapy and Immune Responses
    • Immune cells in cancer
    • Galectins and Cancer Biology
    • Monoclonal and Polyclonal Antibodies Research

Papers in

Saskia Meyer

16 papers receiving 440 citations

Peers

Saskia Meyer
Comparison fields: 5 of 52
  • Immunology 298
  • Radiology, Nuclear Medicine and Imaging 242
  • Oncology 99
  • Hematology 40
  • Immunology and Allergy 19
Replace Taichi Kuramochi with:
Taichi Kuramochi United States
M. Josefina Coloma United States
Paul R. Hinton United States
Mitchell Evers Netherlands
Ling C. Santora United States
Roland Stork Germany
Johanna Kölln Germany
Kaitlyn Rogers United States
Akito Natsume Japan
Laura Cons Switzerland
Saskia Meyer relative to Taichi Kuramochi United States Taichi Kuramochi's profile →
Citations per field
00.5×1.5×
Taichi Kuramochi · 1×
Citations per year

Countries citing papers authored by Saskia Meyer

Since Specialization
Citations

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

Fields of papers citing papers by Saskia Meyer

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

16 of 16 papers shown
#Work
1 201485
2 201562
3 201848
4 201543
5 201541
6 201539
7 201539
8 202134
9 202320
10 202017
11 201414
12 20134
13 20073
14 20202
15
Simultaneous Targeting of FcgRs and FcaRI Enhances Tumor Cell Killing
20152
16 20111

About Saskia Meyer

Saskia Meyer is a scholar working on Radiology, Nuclear Medicine and Imaging, Molecular Biology, Immunology, Oncology and Hematology, having authored 16 papers that have together received 454 indexed citations. Recurring topics across this work include Monoclonal and Polyclonal Antibodies Research (12 papers), Glycosylation and Glycoproteins Research (8 papers), Immunotherapy and Immune Responses (3 papers), CAR-T cell therapy research (3 papers), T-cell and B-cell Immunology (3 papers), Blood groups and transfusion (2 papers), Immune Cell Function and Interaction (2 papers) and Cancer Immunotherapy and Biomarkers (2 papers). The work is most often cited by research in Immunology (298 citations), Radiology, Nuclear Medicine and Imaging (242 citations), Oncology (99 citations), Hematology (40 citations) and Immunology and Allergy (19 citations). Saskia Meyer has collaborated with scholars based in Netherlands, Germany and United States. Frequent co-authors include Jeanette H.W. Leusen, Péter Boross, Toine ten Broeke, J.H. Marco Jansen, Thomas Valerius, Maaike Nederend, Arianne M. Brandsma, Gerard Rouwendal, Ruud Ubink and Mitchell Evers. Their work appears in journals such as mAbs, British Journal of Haematology, Journal of Clinical Oncology, Journal of Hepatology and Immunological Reviews.

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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