Daniel Tamasauskas

809 total citations · 1 hit paper
5 papers, 621 citations indexed

About

Daniel Tamasauskas is a scholar working on Molecular Biology, Immunology and Genetics. According to data from OpenAlex, Daniel Tamasauskas has authored 5 papers receiving a total of 621 indexed citations (citations by other indexed papers that have themselves been cited), including 2 papers in Molecular Biology, 2 papers in Immunology and 1 paper in Genetics. Recurrent topics in Daniel Tamasauskas's work include Glycosylation and Glycoproteins Research (1 paper), Hearing, Cochlea, Tinnitus, Genetics (1 paper) and HIV Research and Treatment (1 paper). Daniel Tamasauskas is often cited by papers focused on Glycosylation and Glycoproteins Research (1 paper), Hearing, Cochlea, Tinnitus, Genetics (1 paper) and HIV Research and Treatment (1 paper). Daniel Tamasauskas collaborates with scholars based in United States. Daniel Tamasauskas's co-authors include Gwenaëlle S. G. Géléoc, Heidi L. Rehm, Anne Duggan, Andrea Amalfitano, Matthew P. Hoffman, Jaime Garcı́a-Añoveros, Paul A. Gray, Jeffrey R. Holt, Kelvin Y. Kwan and Bruce Derfler and has published in prestigious journals such as Nature, Blood and Clinical Cancer Research.

In The Last Decade

Daniel Tamasauskas

5 papers receiving 607 citations

Hit Papers

TRPA1 is a candidate for the mechanosensitive transductio... 2004 2026 2011 2018 2004 100 200 300 400 500

Peers

Daniel Tamasauskas
Comparison fields: 5 of 87
  • Sensory Systems 436
  • Cellular and Molecular Neuroscience 179
  • Molecular Biology 172
  • Physiology 157
  • Nutrition and Dietetics 109
Replace Yijun Shi with:
Yijun Shi United States
Changlin Li China
Mart H. Mojet United Kingdom
Michel Partiseti France
Rebecca Elsaesser Germany
Hugo Klaassen Belgium
Atsushi Hirao Japan
Christopher L. Koehler United States
М. Ф. Быстрова Russia
Yves Brand Switzerland
Yijun Shi United States View profile →
Citations per field, relative to Daniel Tamasauskas
Daniel Tamasauskas · 1×
Citations per year, relative to Daniel Tamasauskas
Daniel Tamasauskas · 1×

Countries citing papers authored by Daniel Tamasauskas

Since Specialization
Citations

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

Fields of papers citing papers by Daniel Tamasauskas

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Daniel Tamasauskas

This figure shows the co-authorship network connecting the top 25 collaborators of Daniel Tamasauskas. A scholar is included among the top collaborators of Daniel Tamasauskas 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 Daniel Tamasauskas. Daniel Tamasauskas is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

5 of 5 papers shown
# Work Indexed citations
1 11
2
TRPA1 is a candidate for the mechanosensitive transduction channel of vertebrate hair cells breakdown →
550
3 31
4 18
5 11

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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