Andrea Welling

27 papers receiving 2.4k citations

Hit Papers

Patient-Specific Induced Pluripotent Stem-Cell Models for...20102026201520202010250500750

Peers

Andrea Welling
Comparison fields: 5 of 95
  • Molecular Biology 2.0k
  • Cardiology and Cardiovascular Medicine 937
  • Cellular and Molecular Neuroscience 855
  • Surgery 393
  • Biomedical Engineering 237
Replace Andrea Barbuti with:
Andrea Barbuti Italy
Yvonne N. Tallini United States
Francesco Angelini Italy
T. Soukup Czechia
Zhongju Lu United States
Ziqiang Wu China
Bai‐Yan Li China
Marcus Deschauer Germany
Inja Lim South Korea
Larry R. Karns United States
Andrea Welling relative to Andrea Barbuti Italy Andrea Barbuti's profile →
Citations per field
00.5×3.4×
Andrea Barbuti · 1×
Citations per year

Countries citing papers authored by Andrea Welling

Since Specialization
Citations

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

Fields of papers citing papers by Andrea Welling

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Andrea Welling

This figure shows the co-authorship network connecting the top 25 collaborators of Andrea Welling. A scholar is included among the top collaborators of Andrea Welling based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Andrea Welling. Andrea Welling is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
#WorkIndexed citations
1 10
2 24
3 12
4 154
5
Patient-Specific Induced Pluripotent Stem-Cell Models for Long-QT Syndromebreakdown →
886
6 93
7 103
8 55
9 78
10 93
11 61
12 27
13 222
14 173
15 32
16 10
17 16
18 16
19 7
20 3

About Andrea Welling

Andrea Welling is a scholar working on Cardiology and Cardiovascular Medicine, Cellular and Molecular Neuroscience and Sensory Systems, having authored 27 papers that have together received 2.4k indexed citations. Recurring topics across this work include Ion channel regulation and function (18 papers), Cardiac electrophysiology and arrhythmias (15 papers) and Neuroscience and Neuropharmacology Research (8 papers). The work is most often cited by research in Cellular and Molecular Neuroscience (855 citations), Cardiology and Cardiovascular Medicine (937 citations) and Molecular Biology (2.0k citations). Andrea Welling has collaborated with scholars based in Germany, Austria and United Kingdom. Frequent co-authors include Franz Hofmann, Norbert Klugbauer, Karl‐Ludwig Laugwitz, Milena Bellin, Alessandra Moretti, Christian Billy Jung, Alexander Goedel, Tatjana Dorn, Daniel Sinnecker and Melchior Seyfarth. Their work appears in journals such as New England Journal of Medicine, Proceedings of the National Academy of Sciences and Journal of Biological Chemistry.

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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