E. Moestl

10 papers receiving 650 citations

Peers

E. Moestl
Comparison fields: 5 of 68
  • Small Animals 370
  • Equine 45
  • Animal Science and Zoology 249
  • Behavioral Neuroscience 58
  • Developmental Biology 29
Replace Alain Boissy with:
Alain Boissy France
Kees van Reenen Netherlands
Michael Lepschy Austria
Juan M. Busso Argentina
Pier Attilio Accorsi Italy
Annie Reinhardt Germany
Hans W. Erhard United Kingdom
Hans W. Erhard United Kingdom
Emily Patterson-Kane United States
K. F. Laughlin United Kingdom
E. Moestl relative to Alain Boissy France Alain Boissy's profile →
Citations per field
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Alain Boissy · 1×
Citations per year

Countries citing papers authored by E. Moestl

Since Specialization
Citations

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

Fields of papers citing papers by E. Moestl

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

The 23 scholars most cited alongside E. Moestl, 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 E. Moestl Line = papers co-authored together E. Moestl links everyone, so they are left out of the graph.

All Works

10 of 10 papers shown
#Work
1
Corticosterone in bird eggs : The importance of analytical validation
201311
2 20091
3 2006116
4 200510
5 200425
6 200123
7
A review of faecal progesterone metabolite analysis for non-invasive monitoring of reproductive function in mammals
199741
8
Faecal metabolites of infused (14)C-progesterone in domestic livestock
199721
9
Measurement of cortisol metabolites in faeces of sheep as a parameter of cortisol concentration in blood
1997423
10
Increase of androgen metabolites of the bitch excreted via faeces during oestrus
19974

About E. Moestl

E. Moestl is a scholar working on Small Animals, Developmental Biology, Animal Science and Zoology, Agronomy and Crop Science and Behavioral Neuroscience, having authored 10 papers that have together received 675 indexed citations. Recurring topics across this work include Animal Behavior and Welfare Studies (4 papers), Animal Nutrition and Physiology (2 papers), Effects of Environmental Stressors on Livestock (2 papers), Reproductive Physiology in Livestock (2 papers), Animal Behavior and Reproduction (2 papers), Stress Responses and Cortisol (1 paper), Milk Quality and Mastitis in Dairy Cows (1 paper) and Veterinary Medicine and Surgery (1 paper). The work is most often cited by research in Small Animals (370 citations), Equine (45 citations), Animal Science and Zoology (249 citations), Behavioral Neuroscience (58 citations) and Developmental Biology (29 citations). E. Moestl has collaborated with scholars based in Austria, Sweden and Slovenia. Frequent co-authors include Rupert Palme, Kurt Kotrschal, Andrej Blejec, Simona Kralj‐Fišer, Isabella B. R. Scheiber, E. Bamberg, Franz Schwarzenberger, Didone Frigerio, Г. Брем and K. Schellander. Their work appears in journals such as Water Science & Technology, Comparative Biochemistry and Physiology Part A Molecular & Integrative Physiology, General and Comparative Endocrinology, Hormones and Behavior and Veterinární Medicína.

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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