Bianca Dufner

647 citations
17 papers · 235 · h-index 9

Impact in

Papers in

    • Atherosclerosis and Cardiovascular Diseases 5
    • Immune cells in cancer 4
    • Immune Cell Function and Interaction 2
    • Adipokines, Inflammation, and Metabolic Diseases 4

Bianca Dufner

14 papers receiving 234 citations

Peers

Bianca Dufner
Comparison fields: 5 of 75
  • Physiology 39
  • Health, Toxicology and Mutagenesis 52
  • Immunology 69
  • Cardiology and Cardiovascular Medicine 43
  • Biological Psychiatry 4
Replace M. Goto with:
M. Goto Japan
Zhi Fu China
Marcela Venara Argentina
J. Gregory Maresh United States
Lidan Jiang China
Zhenyue Chen China
Gabriela Cavriani Brazil
Alisa Rachlis Canada
André Gut Switzerland
Bianca Dufner relative to M. Goto Japan M. Goto's profile →
Citations per field
00.5×5.6×
M. Goto · 1×
Citations per year

Countries citing papers authored by Bianca Dufner

Since Specialization
Citations

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

Fields of papers citing papers by Bianca Dufner

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

17 of 17 papers shown
#Work
1 201659
2 201452
3 201230
4 202121
5 201918
6 201511
7 202110
8 20228
9 20208
10 20237
11 20134
12 20144
13 20122
14 20191
15 20250
16 20250
17 20200

About Bianca Dufner

Bianca Dufner is a scholar working on Immunology, Epidemiology, Molecular Biology, Surgery and Physiology, having authored 17 papers that have together received 235 indexed citations. Recurring topics across this work include Atherosclerosis and Cardiovascular Diseases (5 papers), Adipokines, Inflammation, and Metabolic Diseases (4 papers), Immune cells in cancer (4 papers), Adenosine and Purinergic Signaling (3 papers), Single-cell and spatial transcriptomics (2 papers), Adipose Tissue and Metabolism (2 papers), Immune Cell Function and Interaction (2 papers) and Coronary Interventions and Diagnostics (2 papers). The work is most often cited by research in Physiology (39 citations), Health, Toxicology and Mutagenesis (52 citations), Immunology (69 citations), Cardiology and Cardiovascular Medicine (43 citations) and Biological Psychiatry (4 citations). Bianca Dufner has collaborated with scholars based in Germany, Austria and Australia. Frequent co-authors include Dennis Wolf, Natalie Hoppe, Andreas Zirlik, Rainer H. Straub, Peter Stachon, Constantin von zur Mühlen, Ingo Hilgendorf, Marco Idzko, Timoteo Marchini and Nathaly Anto Michel. Their work appears in journals such as Basic Research in Cardiology, European Heart Journal, PLoS ONE, Scientific Reports and Arteriosclerosis Thrombosis and Vascular Biology.

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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