Karsten Sauer

4.4k citations
54 papers · 3.4k indexed · h-index 26
  • Immunology top 2%
    • T-cell and B-cell Immunology 19
    • Immune Cell Function and Interaction 18
    • Immunotherapy and Immune Responses 11
  • Oncology top 5%
    • CAR-T cell therapy research 9
    • Cancer-related Molecular Pathways 5
  • Aging top 5%
    • Protein Kinase Regulation and GTPase Signaling 6
    • PI3K/AKT/mTOR signaling in cancer 5
    • Chronic Lymphocytic Leukemia Research 6

Karsten Sauer

53 papers receiving 3.3k citations

Peers

Karsten Sauer
Comparison fields: 5 of 105
  • Immunology 1.3k
  • Cell Biology 658
  • Oncology 866
  • Aging 51
  • Molecular Biology 1.8k
Replace Ai Ishii with:
Ai Ishii Japan
Seth J. Field United States
John Coadwell United Kingdom
Colette F. Gramm United States
Gary Rathbun United States
Martin Gullberg Sweden
F W Alt United States
David L. Wiest United States
Saskia M. Brachmann United States
Xuewu Zhang United States
Karsten Sauer relative to Ai Ishii Japan Ai Ishii's profile →
Citations per field
00.5×6.0×
Ai Ishii · 1×
Citations per year

Countries citing papers authored by Karsten Sauer

Since Specialization
Citations

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

Fields of papers citing papers by Karsten Sauer

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

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

All Works

20 of 20 papers shown
#Work
1 20250
2 202238
3 20221
4 202064
5 201528
6 201540
7 20144
8 201419
9 201314
10 20137
11 201390
12 2009445
13 200914
14 2009214
15 200915
16 2009104
17 200771
18 20016
19 19983
20 19912

About Karsten Sauer

Karsten Sauer is a scholar working on Immunology, Hematology and Genetics, having authored 54 papers that have together received 3.4k indexed citations. Recurring topics across this work include T-cell and B-cell Immunology (19 papers), Immune Cell Function and Interaction (18 papers), Immunotherapy and Immune Responses (11 papers), CAR-T cell therapy research (9 papers), Chronic Lymphocytic Leukemia Research (6 papers), Protein Kinase Regulation and GTPase Signaling (6 papers), PI3K/AKT/mTOR signaling in cancer (5 papers) and Cancer-related Molecular Pathways (5 papers). The work is most often cited by research in Immunology (1.3k citations), Cell Biology (658 citations) and Oncology (866 citations). Karsten Sauer has collaborated with scholars based in United States, Germany and United Kingdom. Frequent co-authors include Heidi Elsaesser, David G. Brooks, Christian F. Lehner, Helena E. Richardson, Juergen A. Knoblich, Lynn Jones, Robert Saint, Rina Barouch‐Bentov, M. Cooke and Mary Ellen Lane. Their work appears in journals such as PLoS ONE, The Journal of Immunology, Proceedings of the National Academy of Sciences, Blood and Immunity.

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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