Benjamin Vogel

1.2k citations
14 papers · 966 · 1 hit paper · h-index 10

Impact in

Papers in

    • Signaling Pathways in Disease 3
    • Genomics and Chromatin Dynamics 2
    • RNA Research and Splicing 2
    • Herpesvirus Infections and Treatments 4
    • Cytomegalovirus and herpesvirus research 3

Benjamin Vogel

14 papers receiving 959 citations

Hit Papers

Foxp3+CD4+T Cells Improve Healing After Myocardial Infarction by Modulating Monocyte/Macrophage Differentiation 2014 · 543 citations
5430+4+8Years since publication100200300400500

Peers

Benjamin Vogel
Comparison fields: 5 of 98
  • Cardiology and Cardiovascular Medicine 380
  • Immunology 288
  • Molecular Biology 391
  • Neurology 39
  • Immunology and Allergy 26
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Mario C. Rico United States
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Hisakazu Kato Japan
Yutian Li China
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Citations per field
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Citations per year

Countries citing papers authored by Benjamin Vogel

Since Specialization
Citations

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

Fields of papers citing papers by Benjamin Vogel

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

14 of 14 papers shown
#Work
1
Foxp3+CD4+T Cells Improve Healing After Myocardial Infarction by Modulating Monocyte/Macrophage Differentiation
Hit paper breakdown →
2014543
2 2015124
3 201478
4 201543
5 201641
6 201434
7 201332
8 201023
9 201122
10 201210
11 20147
12 20116
13 20102
14 20091

About Benjamin Vogel

Benjamin Vogel is a scholar working on Molecular Biology, Epidemiology, Cardiology and Cardiovascular Medicine, Oncology and Immunology, having authored 14 papers that have together received 966 indexed citations. Recurring topics across this work include Herpesvirus Infections and Treatments (4 papers), Cardiac Fibrosis and Remodeling (4 papers), Signaling Pathways in Disease (3 papers), Cytomegalovirus and herpesvirus research (3 papers), Viral-associated cancers and disorders (3 papers), Genomics and Chromatin Dynamics (2 papers), RNA Research and Splicing (2 papers) and Immune Cell Function and Interaction (2 papers). The work is most often cited by research in Cardiology and Cardiovascular Medicine (380 citations), Immunology (288 citations), Molecular Biology (391 citations), Neurology (39 citations) and Immunology and Allergy (26 citations). Benjamin Vogel has collaborated with scholars based in Germany, Singapore and Japan. Frequent co-authors include Stefan Frantz, Ulrich Hofmann, Georg Ertl, Anna Frey, Johannes Weirather, Niklas Beyersdorf, Thomas Kerkau, Gustavo C. Ramos, Robert Hock and Susanne Knörr. Their work appears in journals such as MethodsX, Basic Research in Cardiology, Virology, Journal of Virology and Circulation Heart Failure.

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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