A. Schwab

57 papers receiving 2.9k citations

A. Schwab's Hit Papers

Printability and Shape Fidelity of Bioinks in 3D Bioprinting 2020 · 963 citations
9630+2+4Years since publication250500750

Peers

A. Schwab
Comparison fields: 5 of 124
  • Sensory Systems 281
  • Automotive Engineering 532
  • Biomedical Engineering 1.1k
  • Cellular and Molecular Neuroscience 403
  • Biomaterials 272
Replace Wei Song with:
Wei Song China
Farah Sheikh United States
Myung Chul Lee South Korea
Elke Kaemmerer Germany
Paul G. Genever United Kingdom
Stefan Przyborski United Kingdom
Kate Poole Australia
Cesare M. Terracciano United Kingdom
Marimélia Porcionatto Brazil
A. Schwab relative to Wei Song China Wei Song's profile →
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Wei Song · 1×
Citations per year

Countries citing papers authored by A. Schwab

Since Specialization
Citations

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

Fields of papers citing papers by A. Schwab

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 65 papers — load more, or switch the sort, to bring in the rest.

#Work
1
Printability and Shape Fidelity of Bioinks in 3D Bioprinting
Hit paper breakdown →
2020963
2 1990195
3 2006129
4 2006114
5 1999104
6 199991
7 199989
8 202078
9 199477
10 199472
11 200870
12 200559
13 201456
14 201354
15 201751
16 199951
17 201646
18 201845
19 200243
20 199741

About A. Schwab

A. Schwab is a scholar working on Molecular Biology, Rheumatology, Biomedical Engineering, Cellular and Molecular Neuroscience and Cardiology and Cardiovascular Medicine, having authored 65 papers that have together received 3.0k indexed citations. Recurring topics across this work include Ion channel regulation and function (19 papers), Osteoarthritis Treatment and Mechanisms (10 papers), Ion Transport and Channel Regulation (10 papers), 3D Printing in Biomedical Research (9 papers), Cardiac electrophysiology and arrhythmias (7 papers), Cellular Mechanics and Interactions (6 papers), Ion Channels and Receptors (5 papers) and Neuroscience and Neuropharmacology Research (4 papers). The work is most often cited by research in Sensory Systems (281 citations), Automotive Engineering (532 citations), Biomedical Engineering (1.1k citations), Cellular and Molecular Neuroscience (403 citations) and Biomaterials (272 citations). A. Schwab has collaborated with scholars based in Germany, Switzerland and Netherlands. Frequent co-authors include Matteo D’Este, David Eglin, Riccardo Levato, Jos Malda, Susanna Piluso, Hans Oberleithner, Gerhard Giebisch, Christian Stock, Leszek Wojnowski and Timm Danker. Their work appears in journals such as Pflügers Archiv - European Journal of Physiology, Bioactive Materials, Clinical Kidney Journal, Proceedings of the National Academy of Sciences and Journal of the American Society of Nephrology.

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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