Timo Vogt

492 citations
14 papers · 320 · h-index 10

Impact in

    • Immunotherapy and Immune Responses
    • Immune Cell Function and Interaction
    • Immune cells in cancer
    • Cancer Immunotherapy and Biomarkers

Papers in

    • Epigenetics and DNA Methylation 6
    • RNA modifications and cancer 2
    • Cancer-related gene regulation 2
    • Cancer Immunotherapy and Biomarkers 5
    • Pancreatic and Hepatic Oncology Research 2

Timo Vogt

14 papers receiving 319 citations

Peers

Timo Vogt
Comparison fields: 5 of 64
  • Immunology 129
  • Oncology 163
  • Cancer Research 67
  • Biological Psychiatry 11
  • Physiology 14
Replace Romina Zarbl with:
Romina Zarbl Germany
Gan Xiong China
Madison Canning United States
Stephanie O. Dudzinski United States
Adriana C. De La Fuente United States
Rachel A. Woolaver United States
Hongyan Huang China
Poonam Sarode Germany
Henrik Aamodt Norway
Isaure Vanmeerbeek Belgium
Timo Vogt relative to Romina Zarbl Germany Romina Zarbl's profile →
Citations per field
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Romina Zarbl · 1×
Citations per year

Countries citing papers authored by Timo Vogt

Since Specialization
Citations

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

Fields of papers citing papers by Timo Vogt

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

14 of 14 papers shown
#Work
1 201874
2 201954
3 201751
4 201927
5 201826
6 202217
7 202315
8 201813
9 202212
10 202010
11 20239
12
Prospective safety assessment of highly automated driving functions using stochastic traffic simulation
20177
13
The Eclipse working group openPASS: an open source approach to safety impact assessment via simulation
20174
14 20221

About Timo Vogt

Timo Vogt is a scholar working on Molecular Biology, Oncology, Immunology, Cancer Research and Surgery, having authored 14 papers that have together received 320 indexed citations. Recurring topics across this work include Epigenetics and DNA Methylation (6 papers), Cancer Immunotherapy and Biomarkers (5 papers), Immunotherapy and Immune Responses (3 papers), Pancreatic and Hepatic Oncology Research (2 papers), RNA modifications and cancer (2 papers), Cancer-related gene regulation (2 papers), Cancer-related molecular mechanisms research (2 papers) and Immune cells in cancer (2 papers). The work is most often cited by research in Immunology (129 citations), Oncology (163 citations), Cancer Research (67 citations), Biological Psychiatry (11 citations) and Physiology (14 citations). Timo Vogt has collaborated with scholars based in Germany, Australia and Taiwan. Frequent co-authors include Dimo Dietrich, Friedrich Bootz, Jennifer Landsberg, Glen Kristiansen, Carsten Golletz, Heidrun Gevensleben, Diane Goltz, Jörn Dietrich, Luka de Vos and Romina Zarbl. Their work appears in journals such as Clinical Epigenetics, Clinical Chemistry, EBioMedicine, Epigenomics and OncoImmunology.

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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