S.G. Kamerling

1.5k citations
46 papers · 1.1k indexed · h-index 19

Impact in

  • Equine top 0.1%
    • Veterinary Equine Medical Research
    • Veterinary Pharmacology and Anesthesia

Papers in

    • Veterinary Equine Medical Research 31
    • Veterinary Pharmacology and Anesthesia 14

S.G. Kamerling

45 papers receiving 1.0k citations

Peers

S.G. Kamerling
Comparison fields: 5 of 93
  • Equine 651
  • Small Animals 375
  • Rehabilitation 117
  • Animal Science and Zoology 173
  • Orthopedics and Sports Medicine 126
Replace C. H. G. Irvine with:
C. H. G. Irvine New Zealand
Katsuyoshi Kubo Japan
Robert J. Brosnan United States
J.N. Lucke United Kingdom
Shigeru SUGANO Japan
Nicola C. Smith United Kingdom
Inhyung Lee South Korea
F. Garza Mexico
Kazutaka Mukai Japan
Dania Reiche Germany
S.G. Kamerling relative to C. H. G. Irvine New Zealand C. H. G. Irvine's profile →
Citations per field
00.5×4.1×
C. H. G. Irvine · 1×
Citations per year

Countries citing papers authored by S.G. Kamerling

Since Specialization
Citations

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

Fields of papers citing papers by S.G. Kamerling

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by S.G. Kamerling. 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 S.G. Kamerling. The network helps show where S.G. Kamerling may publish in the future.

Co-authorship network

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

All Works

20 of 20 papers shown
#Work
1 201824
2 20122
3 200727
4 199816
5 199620
6 199610
7 199557
8 19955
9 19942
10 19932
11 199315
12 199368
13 199344
14 199230
15 199248
16 1991137
17 199016
18 198935
19 19882
20 198838

About S.G. Kamerling

S.G. Kamerling is a scholar working on Equine, Small Animals, Animal Science and Zoology, Orthopedics and Sports Medicine and Rehabilitation, having authored 46 papers that have together received 1.1k indexed citations. Recurring topics across this work include Veterinary Equine Medical Research (31 papers), Veterinary Pharmacology and Anesthesia (14 papers), Pain Mechanisms and Treatments (11 papers), Pharmacological Effects and Assays (11 papers), Neuropeptides and Animal Physiology (8 papers), Sports Performance and Training (6 papers), Exercise and Physiological Responses (6 papers) and Muscle metabolism and nutrition (5 papers). The work is most often cited by research in Equine (651 citations), Small Animals (375 citations), Rehabilitation (117 citations), Animal Science and Zoology (173 citations) and Orthopedics and Sports Medicine (126 citations). S.G. Kamerling has collaborated with scholars based in United States, Hungary and Japan. Frequent co-authors include J.D. Harkins, T J Weckman, Thomas Tobin, Jane G. Owens, Jena Hamra, Michael L. Keowen, Karen J. Wolfsheimer, G. E. Church, J. F. FREESTONE and Ron Beadle. Their work appears in journals such as Equine Veterinary Journal, Journal of Equine Veterinary Science, American Journal of Veterinary Research, Life Sciences and Journal of Veterinary Pharmacology and Therapeutics.

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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