Vida Časaitė

514 citations
21 papers · 422 · h-index 10

Impact in

  • Neurology top 10%
    • Parkinson's Disease Mechanisms and Treatments
    • Neuroinflammation and Neurodegeneration Mechanisms
    • Neurological disorders and treatments
    • Amino Acid Enzymes and Metabolism

Papers in

Vida Časaitė

20 papers receiving 420 citations

Peers

Vida Časaitė
Comparison fields: 5 of 85
  • Neurology 111
  • Neurology 47
  • Biochemistry 28
  • Biotechnology 28
  • Physiology 73
Replace Vellareddy Anantharam with:
Vellareddy Anantharam United States
Luigi A. De Girolamo United Kingdom
A. Hartley United Kingdom
Guoxiang Wang China
B.N. Webb United States
Rajalekshmy Shyam United States
Minglin Lang China
Rayne Stfhany Silva Magalhães Brazil
Ning Bu China
Andreas Lösche Germany
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Citations per field
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Vellareddy Anantharam · 1×
Citations per year

Countries citing papers authored by Vida Časaitė

Since Specialization
Citations

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

Fields of papers citing papers by Vida Časaitė

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 21 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2011134
2 200772
3 200151
4 202030
5 202121
6 201513
7 201513
8 201113
9 201113
10 201912
11 20099
12 20109
13 20109
14 20236
15 20225
16 20194
17 20123
18 20192
19 20212
20 20241

About Vida Časaitė

Vida Časaitė is a scholar working on Molecular Biology, Biotechnology, Biochemistry, Materials Chemistry and Neurology, having authored 21 papers that have together received 422 indexed citations. Recurring topics across this work include Enzyme Structure and Function (4 papers), Amino Acid Enzymes and Metabolism (3 papers), Enzyme-mediated dye degradation (3 papers), Parkinson's Disease Mechanisms and Treatments (3 papers), Bacteriophages and microbial interactions (3 papers), Enzyme Catalysis and Immobilization (2 papers), Electrochemical sensors and biosensors (2 papers) and Enzyme function and inhibition (2 papers). The work is most often cited by research in Neurology (111 citations), Neurology (47 citations), Biochemistry (28 citations), Biotechnology (28 citations) and Physiology (73 citations). Vida Časaitė has collaborated with scholars based in Lithuania, Sweden and Russia. Frequent co-authors include Rolandas Meškys, Ludmilla A. Morozova‐Roche, M. A. Gruden, Lars Forsgren, Kiran Yanamandra, Jaswir Basran, Nigel S. Scrutton, Richard J. Harris, K. Wilhelm and Mantas Mališauskas. Their work appears in journals such as Journal of Fungi, Current Microbiology, Applied Biochemistry and Biotechnology, Applied Surface Science and Dyes and Pigments.

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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