M Skalicky

27 papers receiving 327 citations

Peers

M Skalicky
Comparison fields: 5 of 77
  • Aging 22
  • Equine 13
  • Small Animals 55
  • Orthopedics and Sports Medicine 38
  • Ophthalmology 23
Replace J. E. Eigenmann with:
J. E. Eigenmann Switzerland
T Hosokawa Japan
Bernadette Rossano France
Jennifer King United States
G. De Ley Belgium
Sarah H White-Springer United States
Christine M. Latham United States
Fiona A. Wilson United States
Christopher McGee United States
Eva Kildall Hejbøl Denmark
M Skalicky relative to J. E. Eigenmann Switzerland J. E. Eigenmann's profile →
Citations per field
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J. E. Eigenmann · 1×
Citations per year

Countries citing papers authored by M Skalicky

Since Specialization
Citations

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

Fields of papers citing papers by M Skalicky

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 29 papers — load more, or switch the sort, to bring in the rest.

#Work
1 200768
2 200749
3 197734
4 200727
5 200124
6 200623
7 198020
8 200919
9 200717
10 199713
11 199912
12 201110
13 20004
14
Postoperative pain-associated behaviour in cats undergoing ovariohysterectomy.
20113
15 20093
16 20003
17
[Zinc metabolism in the pig. 2. Balance studies and compartment analyses].
19713
18 20103
19
[Zinc metabolism in swine. 4. Distribution and dynamics in blood].
19723
20
[Zinc metabolism in the pig. 1. Introduction and methods].
19702

About M Skalicky

M Skalicky is a scholar working on Small Animals, Surgery, Pulmonary and Respiratory Medicine, Physiology and Pediatrics, Perinatology and Child Health, having authored 29 papers that have together received 351 indexed citations. Recurring topics across this work include Veterinary Oncology Research (4 papers), Veterinary Orthopedics and Neurology (4 papers), Orthopedic Surgery and Rehabilitation (3 papers), Genetics, Aging, and Longevity in Model Organisms (3 papers), Trace Elements in Health (3 papers), Spaceflight effects on biology (2 papers), Bone fractures and treatments (2 papers) and Angiogenesis and VEGF in Cancer (2 papers). The work is most often cited by research in Aging (22 citations), Equine (13 citations), Small Animals (55 citations), Orthopedics and Sports Medicine (38 citations) and Ophthalmology (23 citations). M Skalicky has collaborated with scholars based in Austria, Denmark and Czechia. Frequent co-authors include Barbara Nell, Andrus Viidik, D. Lorinson, H Niedermüller, Barbara Bockstahler, Ingrid Walter, Johann G. Thalhammer, Birgitt Wolfesberger, Monika Egerbacher and Wilhelm Gerner. Their work appears in journals such as Experimental Gerontology, Aging Clinical and Experimental Research, Research in Veterinary Science, Veterinary Ophthalmology and Veterinary and Comparative Orthopaedics and Traumatology.

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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