Michael Korrer

502 citations
16 papers · 379 · h-index 7

Impact in

  • Immunology top 10%
    • Immune Cell Function and Interaction
    • Immunotherapy and Immune Responses
    • T-cell and B-cell Immunology
    • Immune cells in cancer
    • interferon and immune responses
    • CAR-T cell therapy research
    • Cancer Immunotherapy and Biomarkers

Papers in

    • Immune Cell Function and Interaction 8
    • Immune cells in cancer 4
    • Immunotherapy and Immune Responses 3
    • interferon and immune responses 2
    • Immune Response and Inflammation 2
    • Cancer Immunotherapy and Biomarkers 5
    • CAR-T cell therapy research 5

Michael Korrer

16 papers receiving 375 citations

Peers

Michael Korrer
Comparison fields: 5 of 46
  • Immunology 286
  • Oncology 190
  • Infectious Diseases 19
  • Molecular Biology 74
  • Cancer Research 14
Replace Gabriela M. Wiedemann with:
Gabriela M. Wiedemann Germany
Pablo Ramos Spain
Javier Glez‐Vaz Spain
Boyeong Song South Korea
Jutta Schröder Germany
Ben Wylie Australia
Tamson V. Moore United States
Rajesh M. Valanparambil United States
Franziska Brauneck Germany
Katrin Deiser Germany
Michael Korrer relative to Gabriela M. Wiedemann Germany Gabriela M. Wiedemann's profile →
Citations per field
00.5×1.6×
Gabriela M. Wiedemann · 1×
Citations per year

Countries citing papers authored by Michael Korrer

Since Specialization
Citations

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

Fields of papers citing papers by Michael Korrer

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

16 of 16 papers shown
#Work
1 2018250
2 201744
3 201823
4 201715
5 202211
6 201411
7 20149
8 20175
9 20224
10 20241
11 20181
12 20201
13 20151
14 20191
15 20191
16 20211

About Michael Korrer

Michael Korrer is a scholar working on Immunology, Oncology, Molecular Biology, Infectious Diseases and Pulmonary and Respiratory Medicine, having authored 16 papers that have together received 379 indexed citations. Recurring topics across this work include Immune Cell Function and Interaction (8 papers), Cancer Immunotherapy and Biomarkers (5 papers), CAR-T cell therapy research (5 papers), Immune cells in cancer (4 papers), Immunotherapy and Immune Responses (3 papers), interferon and immune responses (2 papers), vaccines and immunoinformatics approaches (2 papers) and Immune Response and Inflammation (2 papers). The work is most often cited by research in Immunology (286 citations), Oncology (190 citations), Infectious Diseases (19 citations), Molecular Biology (74 citations) and Cancer Research (14 citations). Michael Korrer has collaborated with scholars based in United States, Netherlands and Germany. Frequent co-authors include Young J. Kim, Sjoerd H. van der Burg, Saskia J. Santegoets, Marjolein Sluijter, Koen A. Marijt, Vanessa J. van Ham, Ilina Ehsan, Nicolai Wagtmann, Thorbald van Hall and Nadine van Montfoort. Their work appears in journals such as The Journal of Immunology, Frontiers in Immunology, Cancer Research, Cancer Immunology Research and PLoS ONE.

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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