Tadas Kasputis

438 citations
16 papers · 360 · h-index 12

Impact in

Papers in

Tadas Kasputis

16 papers receiving 354 citations

Peers

Tadas Kasputis
Comparison fields: 5 of 64
  • Surfaces, Coatings and Films 88
  • Biomedical Engineering 156
  • Atomic and Molecular Physics, and Optics 55
  • Molecular Biology 113
  • Pulmonary and Respiratory Medicine 44
Replace Zhihao Yang with:
Zhihao Yang China
Joanna Pabijan Poland
Frédérique Mittler France
Kentaro Mochizuki Japan
Szymon Prauzner-Bechcicki Poland
Vivekanand Kalaparthi United States
Venkatesh Subba-Rao United States
Carlos Matellan United Kingdom
Hiroaki Kominami Japan
Tadas Kasputis relative to Zhihao Yang China Zhihao Yang's profile →
Citations per field
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Zhihao Yang · 1×
Citations per year

Countries citing papers authored by Tadas Kasputis

Since Specialization
Citations

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

Fields of papers citing papers by Tadas Kasputis

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

16 of 16 papers shown
#Work
1 202058
2 202044
3 201140
4 201034
5 201232
6 201326
7 201826
8 201219
9 201419
10 201515
11 202113
12 202112
13 201612
14 20146
15 20172
16 20242

About Tadas Kasputis

Tadas Kasputis is a scholar working on Surfaces, Coatings and Films, Pulmonary and Respiratory Medicine, Biomedical Engineering, Endocrinology, Diabetes and Metabolism and Surgery, having authored 16 papers that have together received 360 indexed citations. Recurring topics across this work include Polymer Surface Interaction Studies (5 papers), Acoustic Wave Resonator Technologies (3 papers), Prostate Cancer Treatment and Research (2 papers), Adhesion, Friction, and Surface Interactions (2 papers), Pancreatic function and diabetes (2 papers), Neonatal Respiratory Health Research (2 papers), Diabetes Management and Research (2 papers) and Surface Modification and Superhydrophobicity (2 papers). The work is most often cited by research in Surfaces, Coatings and Films (88 citations), Biomedical Engineering (156 citations), Atomic and Molecular Physics, and Optics (55 citations), Molecular Biology (113 citations) and Pulmonary and Respiratory Medicine (44 citations). Tadas Kasputis has collaborated with scholars based in United States, Germany and Sweden. Frequent co-authors include Angela K. Pannier, Mathias M. Schubert, Keith Brian Rodenhausen, Briana R. Dye, Lonnie D. Shea, Eva Schubert, Jason R. Spence, Tino Hofmann, Robert S. Oakes and Tom E. Tiwald. Their work appears in journals such as Review of Scientific Instruments, Thin Solid Films, The Journal of Physical Chemistry C, Thrombosis Research and MRS Communications.

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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