Monika Laumer

896 citations
8 papers · 720 · h-index 8

Impact in

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

Papers in

    • Immunotherapy and Immune Responses 7
    • Immune Cell Function and Interaction 5
    • T-cell and B-cell Immunology 3
    • vaccines and immunoinformatics approaches 2
    • Glycosylation and Glycoproteins Research 1

Monika Laumer

8 papers receiving 707 citations

Peers

Monika Laumer
Comparison fields: 5 of 63
  • Immunology 531
  • Oncology 380
  • Genetics 81
  • Hematology 30
  • Virology 11
Replace Jean‐Christophe Beltra with:
Jean‐Christophe Beltra United States
Machiko Atsuta Japan
Alfons J. van den Eertwegh Netherlands
Mathilde Allard Switzerland
Angela Weiss United States
Sonia Netzer France
Young‐June Kim United States
Isabelle Raimbaud France
Christopher J. Chan Australia
J Biggs United States
Monika Laumer relative to Jean‐Christophe Beltra United States Jean‐Christophe Beltra's profile →
Citations per field
00.5×
Jean‐Christophe Beltra · 1×
Citations per year

Countries citing papers authored by Monika Laumer

Since Specialization
Citations

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

Fields of papers citing papers by Monika Laumer

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

8 of 8 papers shown
#Work
1 2006238
2 2004216
3 2003124
4 200448
5 200239
6 200621
7 200420
8 200914

About Monika Laumer

Monika Laumer is a scholar working on Immunology, Molecular Biology, Oncology, Epidemiology and Infectious Diseases, having authored 8 papers that have together received 720 indexed citations. Recurring topics across this work include Immunotherapy and Immune Responses (7 papers), Immune Cell Function and Interaction (5 papers), T-cell and B-cell Immunology (3 papers), CAR-T cell therapy research (2 papers), vaccines and immunoinformatics approaches (2 papers), Glycosylation and Glycoproteins Research (1 paper) and Herpesvirus Infections and Treatments (1 paper). The work is most often cited by research in Immunology (531 citations), Oncology (380 citations), Genetics (81 citations), Hematology (30 citations) and Virology (11 citations). Monika Laumer has collaborated with scholars based in Germany, Switzerland and United States. Frequent co-authors include Andréas Mackensen, Reinhard Andreesen, Norbert Meidenbauer, Jana Berger, Grzegorz K. Przybylski, Simon Voelkl, Christian A. Schmidt, Krishna Mondal, Leoni A. Kunz‐Schughart and Karin Fischer. Their work appears in journals such as The Journal of Immunology, Journal of Clinical Oncology, Blood, Immunobiology and Cancer Research.

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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