A. Schwab

3.8k citations
61 papers · 2.9k indexed · 1 hit paper · h-index 28

A. Schwab

56 papers receiving 2.9k citations

Hit Papers

Printability and Shape Fidelity of Bioinks in 3D Bioprinting8902020202620222024250500750

Peers

A. Schwab
Comparison fields: 5 of 126
  • Sensory Systems 286
  • Automotive Engineering 521
  • Biomedical Engineering 1.0k
  • Cellular and Molecular Neuroscience 412
  • Biomaterials 266
Replace Wei Song with:
Wei Song China
Myung Chul Lee South Korea
Farah Sheikh United States
Olivier Chassande France
Elke Kaemmerer Germany
Paul G. Genever United Kingdom
Stefan Przyborski United Kingdom
Sigrid A. Langhans United States
Kate Poole Australia
A. Schwab relative to Wei Song China Wei Song's profile →
Citations per field
00.5×4.2×
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-authorship network

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
#Work
1 20250
2 20237
3 20230
4 202331
5 20239
6 202218
7 202123
8 20211
9
Printability and Shape Fidelity of Bioinks in 3D Bioprintingbreakdown →
2020890
10 202077
11 201813
12 201750
13 201630
14 201645
15 201353
16 201230
17 2006129
18 20033
19 1999104
20 199732

About A. Schwab

A. Schwab is a scholar working on Sensory Systems, Nephrology, Rheumatology, Urology and Molecular Biology, having authored 61 papers that have together received 2.9k indexed citations. Recurring topics across this work include Ion channel regulation and function (20 papers), Ion Transport and Channel Regulation (10 papers), 3D Printing in Biomedical Research (9 papers), Osteoarthritis Treatment and Mechanisms (9 papers), Cardiac electrophysiology and arrhythmias (7 papers), Cellular Mechanics and Interactions (6 papers), Ion Channels and Receptors (5 papers) and Bone Tissue Engineering Materials (4 papers). The work is most often cited by research in Sensory Systems (286 citations), Automotive Engineering (521 citations), Biomedical Engineering (1.0k citations), Cellular and Molecular Neuroscience (412 citations) and Biomaterials (266 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, Journal of Clinical Investigation, Proceedings of the National Academy of Sciences, Bioactive Materials and American Journal of Physiology-Renal Physiology.

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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