Christopher Menne

628 citations
4 papers · 340 · 1 hit paper · h-index 3

Impact in

Papers in

    • Immune Cell Function and Interaction 3
    • T-cell and B-cell Immunology 2
    • Immunotherapy and Immune Responses 2
    • SARS-CoV-2 and COVID-19 Research 1
    • SARS-CoV-2 detection and testing 1

Christopher Menne

4 papers receiving 337 citations

Hit Papers

Age-dependent Immune Response to the Biontech/Pfizer BNT162b2 Coronavirus Disease 2019 Vaccination 2021 · 329 citations
3290+1+3Years since publication100200300

Peers

Christopher Menne
Comparison fields: 5 of 53
  • Infectious Diseases 296
  • Modeling and Simulation 50
  • Health 65
  • Animal Science and Zoology 52
  • Neurology 33
Replace Lara Walotka with:
Lara Walotka Germany
Wiebke Moskorz Germany
Sandra Hauka Germany
Leo C. H. Tsang Hong Kong
Limor Kliker Israel
Ital Nemet Israel
Jonas Hillebrandt Germany
Leo L. H. Luk Hong Kong
Bosco Lam Hong Kong
Michael Aragones United States
Christopher Menne relative to Lara Walotka Germany Lara Walotka's profile →
Citations per field
00.5×1.5×
Lara Walotka · 1×
Citations per year

Countries citing papers authored by Christopher Menne

Since Specialization
Citations

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

Fields of papers citing papers by Christopher Menne

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

4 of 4 papers shown

About Christopher Menne

Christopher Menne is a scholar working on Immunology, Infectious Diseases, Oncology, Organic Chemistry and Surgery, having authored 4 papers that have together received 340 indexed citations. Recurring topics across this work include Immune Cell Function and Interaction (3 papers), T-cell and B-cell Immunology (2 papers), Immunotherapy and Immune Responses (2 papers), CAR-T cell therapy research (1 paper), SARS-CoV-2 and COVID-19 Research (1 paper) and SARS-CoV-2 detection and testing (1 paper). The work is most often cited by research in Infectious Diseases (296 citations), Modeling and Simulation (50 citations), Health (65 citations), Animal Science and Zoology (52 citations) and Neurology (33 citations). Christopher Menne has collaborated with scholars based in Germany, Australia and Brazil. Frequent co-authors include Jörg Timm, Sandra Hauka, Andreas Walker, Jonas Hillebrandt, Anastasia Ritchie, Ortwin Adams, Marcel Andrée, Lisa Müller, Ingo Drexler and Heiner Schaal. Their work appears in journals such as Clinical Infectious Diseases, PLoS Pathogens, JCI Insight and Frontiers in Immunology.

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.

Explore authors with similar magnitude of impact