M. Fürll

845 citations
74 papers · 624 · h-index 17

Impact in

    • Animal health and immunology
    • Animal Behavior and Welfare Studies
  • Equine top 2%
    • Veterinary Equine Medical Research

Papers in

M. Fürll

65 papers receiving 586 citations

Peers

M. Fürll
Comparison fields: 5 of 74
  • Small Animals 303
  • Equine 68
  • Agronomy and Crop Science 393
  • Animal Science and Zoology 104
  • Genetics 125
Replace Erwin G. Pearson with:
Erwin G. Pearson United States
Wolfgang Klee Germany
C. Van Den Hende Belgium
Félix Hilário Díaz González Brazil
P. B. English Australia
Stephen G. Dill United States
Jole Mariella Italy
Melanie Feist Germany
Morag G. Kerr United Kingdom
R. L. Asquith United States
M. Fürll relative to Erwin G. Pearson United States Erwin G. Pearson's profile →
Citations per field
00.5×4.3×
Erwin G. Pearson · 1×
Citations per year

Countries citing papers authored by M. Fürll

Since Specialization
Citations

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

Fields of papers citing papers by M. Fürll

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 74 papers — load more, or switch the sort, to bring in the rest.

#Work
1 200466
2 200936
3 200936
4 201032
5 200829
6 201029
7 200427
8 201027
9 201025
10 200523
11 200822
12 200921
13 200519
14 201418
15 200417
16 200416
17 200816
18 201216
19
[The effects of glucocorticosteroids on lipolysis stimulated by fasting and liver function in cows].
199314
20 201212

About M. Fürll

M. Fürll is a scholar working on Agronomy and Crop Science, Small Animals, Animal Science and Zoology, Equine and Surgery, having authored 74 papers that have together received 624 indexed citations. Recurring topics across this work include Reproductive Physiology in Livestock (35 papers), Ruminant Nutrition and Digestive Physiology (26 papers), Animal health and immunology (19 papers), Effects of Environmental Stressors on Livestock (10 papers), Veterinary Equine Medical Research (10 papers), Growth Hormone and Insulin-like Growth Factors (5 papers), Muscle metabolism and nutrition (5 papers) and Liver Disease Diagnosis and Treatment (4 papers). The work is most often cited by research in Small Animals (303 citations), Equine (68 citations), Agronomy and Crop Science (393 citations), Animal Science and Zoology (104 citations) and Genetics (125 citations). M. Fürll has collaborated with scholars based in Germany, United States and Austria. Frequent co-authors include Thomas Wittek, Peter D. Constable, Tatjana Sattler, Astrid Grosche, L. Locher, Markus Spolders, Gerhard Flachowsky, Gotthold Gäbel, Jörg R. Aschenbach and G.B. Penner. Their work appears in journals such as Journal of Veterinary Internal Medicine, Veterinary Record, Acta veterinaria Scandinavica, Journal of Dairy Science and Journal of Animal Physiology and Animal Nutrition.

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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