D. Lamošová

27 papers receiving 572 citations

Peers

D. Lamošová
Comparison fields: 5 of 70
  • Endocrine and Autonomic Systems 217
  • Animal Science and Zoology 299
  • Aquatic Science 48
  • Nutrition and Dietetics 76
  • Biochemistry 23
Replace Ali Baghbanzadeh with:
Ali Baghbanzadeh Iran
Sabine Crochet France
M. Juráni Slovakia
Sara Yosefi Israel
E.R. Kühn Belgium
L.M. Huybrechts Belgium
J Rzasa Poland
Ardashir Sheikhahmadi Iran
I. Nir Israel
Kris Geris Belgium
D. Lamošová relative to Ali Baghbanzadeh Iran Ali Baghbanzadeh's profile →
Citations per field
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Ali Baghbanzadeh · 1×
Citations per year

Countries citing papers authored by D. Lamošová

Since Specialization
Citations

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

Fields of papers citing papers by D. Lamošová

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 28 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2006114
2 199953
3 199344
4 199943
5 200442
6 200440
7
Effect of in ovo leptin administration on the development of Japanese quail.
200339
8 200133
9 199533
10 200329
11 200428
12 199718
13 199715
14 197815
15 200813
16 200210
17 200310
18
An endocrine response to short-term hypodynamy in Japanese quail selected for resistance to hypodynamy.
19918
19 20046
20
Critical periods in the development of chicks.
19736

About D. Lamošová

D. Lamošová is a scholar working on Endocrine and Autonomic Systems, Animal Science and Zoology, Molecular Biology, Nutrition and Dietetics and Cellular and Molecular Neuroscience, having authored 28 papers that have together received 619 indexed citations. Recurring topics across this work include Animal Nutrition and Physiology (13 papers), Circadian rhythm and melatonin (7 papers), Regulation of Appetite and Obesity (7 papers), Biochemical Analysis and Sensing Techniques (6 papers), Neurobiology and Insect Physiology Research (4 papers), Thyroid Disorders and Treatments (3 papers), Adipose Tissue and Metabolism (3 papers) and Adipokines, Inflammation, and Metabolic Diseases (3 papers). The work is most often cited by research in Endocrine and Autonomic Systems (217 citations), Animal Science and Zoology (299 citations), Aquatic Science (48 citations), Nutrition and Dietetics (76 citations) and Biochemistry (23 citations). D. Lamošová has collaborated with scholars based in Slovakia, Germany and Belgium. Frequent co-authors include Michal Zeman, Mariana Máčajová, M. Juráni, Ľubor Košťál, Pavel Výboh, Daniela Ježová, Eberhard Gwinner, Iveta Herichová, Š Mózeš and Marek Rajman. Their work appears in journals such as Physiological Research, British Poultry Science, Comparative Biochemistry and Physiology Part A Molecular & Integrative Physiology, Domestic Animal Endocrinology and Journal of Pineal Research.

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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