I Hájek

861 citations
42 papers · 716 indexed · h-index 16

Impact in

Papers in

I Hájek

42 papers receiving 678 citations

Peers

I Hájek
Comparison fields: 5 of 93
  • Endocrine and Autonomic Systems 184
  • Cellular and Molecular Neuroscience 266
  • Experimental and Cognitive Psychology 116
  • Neurology 73
  • Developmental Neuroscience 35
Replace Núbio Negrão with:
Núbio Negrão Brazil
Françoise Petitjean France
Katsumasa Hoshino Brazil
J. L. Valatx France
Irene Brunk Germany
Xiaodan Huang China
José R. Eguibar Mexico
Sadamu Nakai Japan
Joshua Cordeira United States
J.P. Huston Germany
I Hájek relative to Núbio Negrão Brazil Núbio Negrão's profile →
Citations per field
00.5×1.5×2.1×
Núbio Negrão · 1×
Citations per year

Countries citing papers authored by I Hájek

Since Specialization
Citations

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

Fields of papers citing papers by I Hájek

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown
#Work
1 20173
2 201150
3 200812
4 200031
5 19994
6 199944
7 199717
8 199757
9 199667
10 199640
11 19947
12 199423
13 199249
14 19902
15 198810
16 198516
17
The effect of ACTH and diazepam on the uptake of tritiated uridine into brain, muscles and liver of infant rats.
19762
18
The synthesis of RNA species in the skeletal muscle of the mouse.
19731
19
The incorporation of S35 methionine into proteins of denervated and reinnervated muscle.
19663
20
PROTEOLYTIC ACTIVITY IN DENERVATED AND REINNERVATED MUSCLE.
196427

About I Hájek

I Hájek is a scholar working on Endocrine and Autonomic Systems, Cellular and Molecular Neuroscience, Physiology, Experimental and Cognitive Psychology and Clinical Biochemistry, having authored 42 papers that have together received 716 indexed citations. Recurring topics across this work include Circadian rhythm and melatonin (9 papers), Neuropeptides and Animal Physiology (5 papers), Pain Mechanisms and Treatments (5 papers), Spaceflight effects on biology (4 papers), Neuroscience and Neuropharmacology Research (4 papers), Sleep and related disorders (3 papers), Ion Transport and Channel Regulation (3 papers) and Metabolism and Genetic Disorders (2 papers). The work is most often cited by research in Endocrine and Autonomic Systems (184 citations), Cellular and Molecular Neuroscience (266 citations), Experimental and Cognitive Psychology (116 citations), Neurology (73 citations) and Developmental Neuroscience (35 citations). I Hájek has collaborated with scholars based in Czechia, Canada and Australia. Frequent co-authors include E Gutmann, Helena Illnerová, Leif Hertz, I Syrový, Kala V. Subbarao, Ye Chen‐Izu, Eva Syková, J. Robert McNeill, Soňa Nevšímalová and Marta Nováková. Their work appears in journals such as Brain Research, Pflügers Archiv - European Journal of Physiology, Neuroscience & Biobehavioral Reviews, Developmental Neuroscience and Canadian Journal of Physiology and Pharmacology.

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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