Patrick Hofmann

1.0k citations
14 papers · 200 · h-index 4

Impact in

    • Cancer-related molecular mechanisms research
    • MicroRNA in disease regulation
    • Atherosclerosis and Cardiovascular Diseases
    • Neutrophil, Myeloperoxidase and Oxidative Mechanisms

Papers in

Patrick Hofmann

13 papers receiving 199 citations

Peers

Patrick Hofmann
Comparison fields: 5 of 42
  • Cancer Research 82
  • Immunology 41
  • Immunology and Allergy 11
  • Molecular Biology 116
  • Aging 3
Replace Qunying Wang with:
Qunying Wang China
Chenyue Shi Germany
Amina Fu United States
Mohammad A. Shatat United States
Noelia Lozano‐Vidal Spain
Yu‐Wen Su Taiwan
Ewa Aładowicz United Kingdom
Nathaniel W. Mabe United States
Micol Ravà Italy
Yin Peng United States
Patrick Hofmann relative to Qunying Wang China Qunying Wang's profile →
Citations per field
00.5×2.6×
Qunying Wang · 1×
Citations per year

Countries citing papers authored by Patrick Hofmann

Since Specialization
Citations

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

Fields of papers citing papers by Patrick Hofmann

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

14 of 14 papers shown
#Work
1 2018113
2 202042
3 201829
4 20234
5
Abstract 16718: The Long Noncoding RNA H19 Controls Vascular Ageing and Inflammation
20142
6 20232
7 20132
8 20241
9 20241
10 20201
11 20241
12 20251
13
[On the protein binding of bisguanylhydrazones of 4,4'-diacetyldiphenyl series as a function of structure].
19681
14 20230

About Patrick Hofmann

Patrick Hofmann is a scholar working on Immunology, Molecular Biology, Cancer Research, Physiology and Pediatrics, Perinatology and Child Health, having authored 14 papers that have together received 200 indexed citations. Recurring topics across this work include Psoriasis: Treatment and Pathogenesis (7 papers), Cancer-related molecular mechanisms research (4 papers), Asthma and respiratory diseases (3 papers), Pharmaceutical studies and practices (2 papers), Immune cells in cancer (1 paper), Epigenetics and DNA Methylation (1 paper), Synthesis and Characterization of Heterocyclic Compounds (1 paper) and Telomeres, Telomerase, and Senescence (1 paper). The work is most often cited by research in Cancer Research (82 citations), Immunology (41 citations), Immunology and Allergy (11 citations), Molecular Biology (116 citations) and Aging (3 citations). Patrick Hofmann has collaborated with scholars based in Germany, United States and China. Frequent co-authors include Reinier A. Boon, Stefanie Dimmeler, Ariane Fischer, Ulf Hedin, Ljubica Perisic, Lars Mäegdefessel, Kosta Theodorou, Yuhuang Li, Hanjoong Jo and Robert Szulcek. Their work appears in journals such as Journal of the American Academy of Dermatology, Circulation, Experimental Dermatology, Cell Reports and European Heart 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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