T Torda

1.4k citations
43 papers · 1.0k indexed · h-index 18

T Torda

43 papers receiving 1.0k citations

Peers

T Torda
Comparison fields: 5 of 94
  • Behavioral Neuroscience 389
  • Cellular and Molecular Neuroscience 386
  • Molecular Biology 321
  • Physiology 258
  • Social Psychology 203
Replace K.D. Cairncross with:
K.D. Cairncross Australia
Katalin Szemeredi United States
Margaret C. Boadle‐Biber United States
Yasuko Kohno Japan
Shawn Schapiro United States
Nobuyuki Nagasaki Japan
Ryoichi Nakagawa Japan
B.W.M.M. Peeters Netherlands
M. Luisa Laorden Spain
Manuel O. López-Figueroa United States
T Torda relative to K.D. Cairncross Australia K.D. Cairncross's profile →
Citations per field
00.5×1.5×2.3×
K.D. Cairncross · 1×
Citations per year

Countries citing papers authored by T Torda

Since Specialization
Citations

This map shows the geographic impact of T Torda'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 T Torda with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites T Torda more than expected).

Fields of papers citing papers by T Torda

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of T Torda

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

All Works

20 of 20 papers shown
#WorkIndexed citations
1 7
2 3
3 18
4 15
5 24
6 18
7 24
8 14
9 20
10
3-H-ketanserin (serotonin type 2) binding in the rat frontal cortex: effect of immobilization stress.
14
11 17
12 8
13
Lack of preventive effect of 6-hydroxy-dopamine on a decrease of beta-adrenergic receptors induced by repeated stress in the heart of rats.
1
14 29
15 42
16 14
17 70
18
[Catecholamine determination in plasma of men and rats and under stress by means of radioisotope enzymatic method (author's transl)].
1
19
Plasma epinephrine and norepinephrine levels in stressed rats effect of adrenalectomy
39
20
Activity of catecholamine degrading enzymes in rat adrenal medulla and cortex after acute and repeated stress.
4

About T Torda

T Torda is a scholar working on Behavioral Neuroscience, Cellular and Molecular Neuroscience and Physiology, having authored 43 papers that have together received 1.0k indexed citations. Recurring topics across this work include Receptor Mechanisms and Signaling (14 papers), Stress Responses and Cortisol (12 papers) and Adipose Tissue and Metabolism (8 papers). The work is most often cited by research in Behavioral Neuroscience (389 citations), Biological Psychiatry (58 citations) and Cellular and Molecular Neuroscience (386 citations). T Torda has collaborated with scholars based in United States, Slovakia and Czechia. Frequent co-authors include Richard Květňanský, Irwin J. Kopin, C.L. Sun, C. Raymond Lake, Nguyen B. Thoa, Juan M. Saavedra, Fusao Hirata, L Mikulaj, Isamu Yamaguchi and A Mitro. Their work appears in journals such as Analytical Biochemistry, Brain Research and Biochemical and Biophysical Research 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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