Patrick C. Rämer

1.5k citations
15 papers · 1.1k · h-index 11

Impact in

  • Immunology top 5%
    • Immune Cell Function and Interaction
    • Immunotherapy and Immune Responses
    • Autophagy in Disease and Therapy
    • Influenza Virus Research Studies
    • Cytomegalovirus and herpesvirus research

Papers in

    • Immune Cell Function and Interaction 5
    • Immune Response and Inflammation 2
    • Viral-associated cancers and disorders 5

Patrick C. Rämer

15 papers receiving 1.1k citations

Peers

Patrick C. Rämer
Comparison fields: 5 of 80
  • Immunology 461
  • Epidemiology 531
  • Oncology 308
  • Virology 50
  • Parasitology 67
Replace Frida Arrey with:
Frida Arrey United States
Casper Paludan United States
Monique Gannagé Switzerland
Mathieu Houde Canada
Alec Redwood Australia
Shouheng Jin China
David Jesse Sanchez United States
Jamie L. Brady Australia
Naoya Shimada Japan
Valérie Gafa Italy
Patrick C. Rämer relative to Frida Arrey United States Frida Arrey's profile →
Citations per field
00.5×2.7×
Frida Arrey · 1×
Citations per year

Countries citing papers authored by Patrick C. Rämer

Since Specialization
Citations

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

Fields of papers citing papers by Patrick C. Rämer

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Patrick C. Rämer. 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 Patrick C. Rämer. The network helps show where Patrick C. Rämer may publish in the future.

Co-authors

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

All Works

15 of 15 papers shown
#Work
1 2009452
2 2012131
3 2016118
4 2013115
5 201089
6 201459
7 201140
8 201027
9 201520
10 202018
11 201613
12 20236
13 20251
14 20191
15 20201

About Patrick C. Rämer

Patrick C. Rämer is a scholar working on Immunology, Oncology, Epidemiology, Infectious Diseases and Pathology and Forensic Medicine, having authored 15 papers that have together received 1.1k indexed citations. Recurring topics across this work include Viral-associated cancers and disorders (5 papers), Immune Cell Function and Interaction (5 papers), Lymphoma Diagnosis and Treatment (4 papers), Mosquito-borne diseases and control (2 papers), Antimicrobial Resistance in Staphylococcus (2 papers), Bacterial Identification and Susceptibility Testing (2 papers), Immune Response and Inflammation (2 papers) and Autophagy in Disease and Therapy (2 papers). The work is most often cited by research in Immunology (461 citations), Epidemiology (531 citations), Oncology (308 citations), Virology (50 citations) and Parasitology (67 citations). Patrick C. Rämer has collaborated with scholars based in Switzerland, Germany and United States. Frequent co-authors include Christian Münz, Frida Arrey, Till Strowig, Monique Gannagé, Sonja Meixlsperger, Marc Pypaert, Adolfo García‐Sastre, Jens Andersen, Monica Lee and Dorothee Dormann. Their work appears in journals such as PLoS Pathogens, Blood, Cell Host & Microbe, Microbiology Spectrum and Journal of Virology.

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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