Téa Tsaava

1.8k citations
32 papers · 908 · h-index 15

Impact in

  • Neurology top 1%
    • Vagus Nerve Stimulation Research
    • Neuroinflammation and Neurodegeneration Mechanisms
    • Tryptophan and brain disorders

Papers in

    • Vagus Nerve Stimulation Research 22
    • Neuroinflammation and Neurodegeneration Mechanisms 3
    • Nicotinic Acetylcholine Receptors Study 9
    • Receptor Mechanisms and Signaling 6

Téa Tsaava

30 papers receiving 898 citations

Peers

Téa Tsaava
Comparison fields: 5 of 88
  • Neurology 538
  • Biological Psychiatry 61
  • Sensory Systems 86
  • Cellular and Molecular Neuroscience 246
  • Endocrine and Autonomic Systems 87
Replace Michael Faltys with:
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Citations per field
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Citations per year

Countries citing papers authored by Téa Tsaava

Since Specialization
Citations

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

Fields of papers citing papers by Téa Tsaava

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 32 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2018152
2 2019133
3 2016115
4 202090
5 202160
6 201746
7 201845
8 202040
9 201628
10 201926
11 202122
12 202219
13 201419
14 201418
15 202316
16 202312
17 202110
18 20239
19 20239
20
Natramune and PureWay-C reduce xenobiotic-induced human T-cell alpha5beta1 integrin-mediated adhesion to fibronectin.
20089

About Téa Tsaava

Téa Tsaava is a scholar working on Neurology, Molecular Biology, Cellular and Molecular Neuroscience, Cardiology and Cardiovascular Medicine and Cognitive Neuroscience, having authored 32 papers that have together received 908 indexed citations. Recurring topics across this work include Vagus Nerve Stimulation Research (22 papers), Nicotinic Acetylcholine Receptors Study (9 papers), Receptor Mechanisms and Signaling (6 papers), Heart Rate Variability and Autonomic Control (5 papers), Neuroscience and Neural Engineering (4 papers), Neuroinflammation and Neurodegeneration Mechanisms (3 papers), EEG and Brain-Computer Interfaces (3 papers) and Photoreceptor and optogenetics research (3 papers). The work is most often cited by research in Neurology (538 citations), Biological Psychiatry (61 citations), Sensory Systems (86 citations), Cellular and Molecular Neuroscience (246 citations) and Endocrine and Autonomic Systems (87 citations). Téa Tsaava has collaborated with scholars based in United States, Sweden and Italy. Frequent co-authors include Kevin J. Tracey, Sangeeta S. Chavan, Harold Silverman, Chad Bouton, Jeffrey Ashe, Theodoros P. Zanos, Eric H. Chang, Todd Levy, Benjamin E. Steinberg and Meghan E. Addorisio. Their work appears in journals such as Molecular Medicine, The Journal of Immunology, Proceedings of the National Academy of Sciences, Nature Communications and Scientific Reports.

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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