Heiko Schuster

5.0k citations
47 papers · 1.4k · h-index 24

Impact in

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

Papers in

    • vaccines and immunoinformatics approaches 17
    • Chemical Synthesis and Analysis 6
    • Immunotherapy and Immune Responses 24
    • T-cell and B-cell Immunology 8

Heiko Schuster

46 papers receiving 1.4k citations

Peers

Heiko Schuster
Comparison fields: 5 of 81
  • Immunology 802
  • Oncology 496
  • Molecular Biology 786
  • Radiology, Nuclear Medicine and Imaging 222
  • Genetics 55
Replace Elliot C. Woods with:
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Thomas Flad Germany
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Heiko Schuster relative to Elliot C. Woods United States Elliot C. Woods's profile →
Citations per field
00.5×2.7×
Elliot C. Woods · 1×
Citations per year

Countries citing papers authored by Heiko Schuster

Since Specialization
Citations

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

Fields of papers citing papers by Heiko Schuster

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 47 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2015168
2 2014108
3 201495
4 201574
5 201673
6 201770
7 201463
8 201353
9 200846
10 201842
11 201738
12 201438
13 200838
14 201338
15 201836
16 202228
17 201728
18 201627
19 201025
20 202025

About Heiko Schuster

Heiko Schuster is a scholar working on Molecular Biology, Immunology, Oncology, Organic Chemistry and Radiology, Nuclear Medicine and Imaging, having authored 47 papers that have together received 1.4k indexed citations. Recurring topics across this work include Immunotherapy and Immune Responses (24 papers), vaccines and immunoinformatics approaches (17 papers), Monoclonal and Polyclonal Antibodies Research (9 papers), CAR-T cell therapy research (9 papers), T-cell and B-cell Immunology (8 papers), Chemical Synthesis and Analysis (6 papers), Carbohydrate Chemistry and Synthesis (6 papers) and Peptidase Inhibition and Analysis (6 papers). The work is most often cited by research in Immunology (802 citations), Oncology (496 citations), Molecular Biology (786 citations), Radiology, Nuclear Medicine and Imaging (222 citations) and Genetics (55 citations). Heiko Schuster has collaborated with scholars based in Germany, Switzerland and United States. Frequent co-authors include Stefan Stevanović, Hans‐Georg Rammensee, Daniel J. Kowalewski, Étienne Caron, Linus Backert, Lutz F. Tietze, Theo Sturm, Ching Chiek Koh, Lothar Kanz and Ruedi Aebersold. Their work appears in journals such as Blood, Molecular & Cellular Proteomics, OncoImmunology, Proceedings of the National Academy of Sciences and Chemistry - A European Journal.

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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