Daniela Begandt

1.0k citations
30 papers · 733 · h-index 16

Impact in

Papers in

    • Connexins and lens biology 11
    • Heme Oxygenase-1 and Carbon Monoxide 5
    • Nicotinic Acetylcholine Receptors Study 4
    • Heat shock proteins research 3
    • Neutrophil, Myeloperoxidase and Oxidative Mechanisms 9
    • Immune Response and Inflammation 5

Daniela Begandt

29 papers receiving 728 citations

Peers

Daniela Begandt
Comparison fields: 5 of 97
  • Immunology and Allergy 84
  • Physiology 54
  • Endocrine and Autonomic Systems 58
  • Neurology 62
  • Immunology 160
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Citations per field
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Citations per year

Countries citing papers authored by Daniela Begandt

Since Specialization
Citations

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

Fields of papers citing papers by Daniela Begandt

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 30 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2015155
2 201596
3 201762
4 201747
5 201843
6 201838
7 202137
8 201728
9 201127
10 201522
11 201818
12 201718
13 201718
14 201117
15 201016
16 202115
17 202313
18 201511
19 20229
20 20139

About Daniela Begandt

Daniela Begandt is a scholar working on Molecular Biology, Immunology, Immunology and Allergy, Cellular and Molecular Neuroscience and Cardiology and Cardiovascular Medicine, having authored 30 papers that have together received 733 indexed citations. Recurring topics across this work include Connexins and lens biology (11 papers), Neutrophil, Myeloperoxidase and Oxidative Mechanisms (9 papers), Cell Adhesion Molecules Research (8 papers), Heme Oxygenase-1 and Carbon Monoxide (5 papers), Immune Response and Inflammation (5 papers), Nicotinic Acetylcholine Receptors Study (4 papers), Cardiac electrophysiology and arrhythmias (3 papers) and Heat shock proteins research (3 papers). The work is most often cited by research in Immunology and Allergy (84 citations), Physiology (54 citations), Endocrine and Autonomic Systems (58 citations), Neurology (62 citations) and Immunology (160 citations). Daniela Begandt has collaborated with scholars based in Germany, United States and Slovakia. Frequent co-authors include Brant E. Isakson, Barbara Walzog, Leon J. DeLalio, Joshua T. Butcher, Melanie Salvermoser, Alexander Keller, Scott R. Johnstone, Alexander W. Lohman, Lauren A. Biwer and Robert Pick. Their work appears in journals such as Journal of Bioenergetics and Biomembranes, Frontiers in Cell and Developmental Biology, Journal of Leukocyte Biology, Frontiers in Immunology and The Journal of 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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