F Straßheimer

432 citations
14 papers · 232 · h-index 5

Impact in

    • Immune Cell Function and Interaction
    • Immunotherapy and Immune Responses
    • T-cell and B-cell Immunology
    • Immune cells in cancer
    • CAR-T cell therapy research
    • Cancer Immunotherapy and Biomarkers

Papers in

    • CAR-T cell therapy research 10
    • Immune Cell Function and Interaction 8
    • Immunotherapy and Immune Responses 3

F Straßheimer

14 papers receiving 229 citations

Peers

F Straßheimer
Comparison fields: 5 of 38
  • Immunology 143
  • Oncology 160
  • Genetics 53
  • Cancer Research 18
  • Biotechnology 9
Replace Chujun Zhao with:
Chujun Zhao China
Lukas Rindlisbacher Switzerland
Valeria Governa Switzerland
Céline Yacoub Maroun Switzerland
Sébastien Jacquelin Australia
An-Kang Hu China
William Day United Kingdom
Ramizah Syahirah United States
Giulia Cattaneo United States
Anat Globerson Levin Israel
F Straßheimer relative to Chujun Zhao China Chujun Zhao's profile →
Citations per field
00.5×1.5×2.2×
Chujun Zhao · 1×
Citations per year

Countries citing papers authored by F Straßheimer

Since Specialization
Citations

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

Fields of papers citing papers by F Straßheimer

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

14 of 14 papers shown
#Work
1 2019159
2 202236
3 20208
4 20247
5 20256
6 20203
7 20213
8 20222
9 20222
10 20192
11 20211
12 20201
13 20231
14 20181

About F Straßheimer

F Straßheimer is a scholar working on Oncology, Immunology, Molecular Biology, Genetics and Genetics, having authored 14 papers that have together received 232 indexed citations. Recurring topics across this work include CAR-T cell therapy research (10 papers), Immune Cell Function and Interaction (8 papers), Glioma Diagnosis and Treatment (5 papers), RNA Interference and Gene Delivery (3 papers), Virus-based gene therapy research (3 papers), Immunotherapy and Immune Responses (3 papers), Cancer, Hypoxia, and Metabolism (2 papers) and Single-cell and spatial transcriptomics (1 paper). The work is most often cited by research in Immunology (143 citations), Oncology (160 citations), Genetics (53 citations), Cancer Research (18 citations) and Biotechnology (9 citations). F Straßheimer has collaborated with scholars based in Germany and United Kingdom. Frequent co-authors include Torsten Tonn, Michael C. Burger, Winfried S. Wels, Joachim P. Steinbach, Christian Senft, Congcong Zhang, A Romański, Patrick N. Harter, Tijna Alekseeva and Lisa Sevenich. Their work appears in journals such as Neuro-Oncology, Cancers, Cell Death Discovery, British Journal of Cancer 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.

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