Christiane Meyer

1.7k total citations · 2 hit papers
8 papers, 1.4k citations indexed

About

Christiane Meyer is a scholar working on Oncology, Immunology and Pharmacology. According to data from OpenAlex, Christiane Meyer has authored 8 papers receiving a total of 1.4k indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Oncology, 6 papers in Immunology and 1 paper in Pharmacology. Recurrent topics in Christiane Meyer's work include Cancer Immunotherapy and Biomarkers (3 papers), CAR-T cell therapy research (2 papers) and Immunotherapy and Immune Responses (2 papers). Christiane Meyer is often cited by papers focused on Cancer Immunotherapy and Biomarkers (3 papers), CAR-T cell therapy research (2 papers) and Immunotherapy and Immune Responses (2 papers). Christiane Meyer collaborates with scholars based in Germany, Switzerland and United States. Christiane Meyer's co-authors include Daniel E. Speiser, Emanuela Romano, Olivier Michielin, Petra Baumgaertner, Laurène Cagnon, Nicole Montandon, Carla Costa-Nunes, Benjamin Weide, Monika Kusio-Kobiałka and Periklis Foukas and has published in prestigious journals such as Proceedings of the National Academy of Sciences, International Journal of Cancer and Trends in Immunology.

In The Last Decade

Christiane Meyer

8 papers receiving 1.4k citations

Hit Papers

Ipilimumab-dependent cell-mediated cytotoxicity of regula... 2013 2026 2017 2021 2015 2013 100 200 300 400

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Christiane Meyer Germany 6 1.0k 942 247 97 61 8 1.4k
Bond Almand United States 6 1.5k 1.5× 935 1.0× 358 1.4× 63 0.6× 98 1.6× 8 1.8k
Aurélie Durgeau France 7 776 0.8× 661 0.7× 181 0.7× 89 0.9× 59 1.0× 7 1.0k
Estrella Mariel Levy Argentina 22 857 0.8× 743 0.8× 357 1.4× 107 1.1× 125 2.0× 41 1.4k
Helene Duret Australia 12 994 1.0× 911 1.0× 335 1.4× 144 1.5× 83 1.4× 15 1.6k
Luna Minute Spain 12 529 0.5× 504 0.5× 194 0.8× 82 0.8× 60 1.0× 16 858
Qiu‐Xia Qu China 13 466 0.5× 474 0.5× 142 0.6× 104 1.1× 73 1.2× 33 734
John L. Langowski United States 9 849 0.8× 628 0.7× 279 1.1× 38 0.4× 99 1.6× 20 1.3k
Mark G. Cadungog United States 12 524 0.5× 629 0.7× 540 2.2× 101 1.0× 148 2.4× 17 1.3k
Jian Ye United States 12 800 0.8× 517 0.5× 252 1.0× 65 0.7× 133 2.2× 17 1.1k
Earl Avramis United States 12 457 0.4× 711 0.8× 347 1.4× 100 1.0× 62 1.0× 15 986

Countries citing papers authored by Christiane Meyer

Since Specialization
Citations

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

Fields of papers citing papers by Christiane Meyer

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Christiane Meyer

This figure shows the co-authorship network connecting the top 25 collaborators of Christiane Meyer. A scholar is included among the top collaborators of Christiane Meyer based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Christiane Meyer. Christiane Meyer is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

8 of 8 papers shown
1.
Romano, Emanuela, Monika Kusio-Kobiałka, Periklis Foukas, et al.. (2015). Ipilimumab-dependent cell-mediated cytotoxicity of regulatory T cells ex vivo by nonclassical monocytes in melanoma patients. Proceedings of the National Academy of Sciences. 112(19). 6140–6145. 460 indexed citations breakdown →
2.
Romano, Emanuela, Monika Kusio-Kobiałka, Periklis Foukas, et al.. (2014). FcgRIIIA (CD16)-expressing monocytes mediate the depletion of tumor-infiltrating Tregs via Ipilimumab-dependent ADCC in melanoma patients. Journal for ImmunoTherapy of Cancer. 2(S3). 4 indexed citations
3.
Meyer, Christiane, Laurène Cagnon, Carla Costa-Nunes, et al.. (2013). Frequencies of circulating MDSC correlate with clinical outcome of melanoma patients treated with ipilimumab. Cancer Immunology Immunotherapy. 63(3). 247–257. 450 indexed citations breakdown →
4.
Baitsch, Lukas, Silvia A. Fuertes Marraco, Amandine Legat, Christiane Meyer, & Daniel E. Speiser. (2012). The three main stumbling blocks for anticancer T cells. Trends in Immunology. 33(7). 364–372. 122 indexed citations
5.
Meyer, Christiane, Alexandra Sevko, Alexandr V. Bazhin, et al.. (2011). Chronic inflammation promotes myeloid-derived suppressor cell activation blocking antitumor immunity in transgenic mouse melanoma model. Proceedings of the National Academy of Sciences. 108(41). 17111–17116. 278 indexed citations
6.
Meyer, Christiane, Stefan B. Eichmüller, Annette Kopp‐Schneider, et al.. (2005). Serological analysis of human renal cell carcinoma. International Journal of Cancer. 118(9). 2210–2219. 19 indexed citations
8.
Weiler, H., Christiane Meyer, Jürgen Fröhlich, & B. M. Peskar. (1984). Effect of proquazone and indomethacin on gastric prostaglandin synthesisin vitro andin vivo. Inflammation Research. 15(1-2). 93–95. 4 indexed citations

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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