T Gaál

1.1k citations
50 papers · 905 indexed · h-index 17

Impact in

Papers in

T Gaál

47 papers receiving 844 citations

Peers

T Gaál
Comparison fields: 5 of 95
  • Equine 55
  • Agronomy and Crop Science 255
  • Animal Science and Zoology 221
  • Biochemistry 83
  • Rehabilitation 75
Replace H.‐P. Sallmann with:
H.‐P. Sallmann Germany
Satu Sankari Finland
Howard D. Stowe United States
T. D. G. Watson United Kingdom
Kevin F. Breuel United States
E. Søndergaard Denmark
Jianbo Hu United States
Alenka Nemec Svete Slovenia
K. Shane Broughton United States
G. Cabello France
T Gaál relative to H.‐P. Sallmann Germany H.‐P. Sallmann's profile →
Citations per field
00.5×1.5×2.0×
H.‐P. Sallmann · 1×
Citations per year

Countries citing papers authored by T Gaál

Since Specialization
Citations

This map shows the geographic impact of T Gaál'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 T Gaál with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites T Gaál more than expected).

Fields of papers citing papers by T Gaál

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

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

All Works

20 of 20 papers shown
#Work
1 20169
2 20140
3 20109
4 20105
5 200918
6 20084
7 200850
8 20071
9 200711
10 2006108
11 20057
12 200419
13 200434
14 20011
15 20013
16 199736
17
Ageing and lipid peroxidation
19961
18 199328
19
Modelling of rabbit ketosis in starved pregnant does.
19901
20
Cellular immune functions after heart operations.
19813

About T Gaál

T Gaál is a scholar working on Equine, Agronomy and Crop Science, Animal Science and Zoology, Biochemistry and Internal Medicine, having authored 50 papers that have together received 905 indexed citations. Recurring topics across this work include Reproductive Physiology in Livestock (10 papers), Animal Nutrition and Physiology (9 papers), Ruminant Nutrition and Digestive Physiology (8 papers), Fatty Acid Research and Health (5 papers), Antioxidant Activity and Oxidative Stress (5 papers), Biochemical effects in animals (4 papers), Meat and Animal Product Quality (4 papers) and Genetic and phenotypic traits in livestock (4 papers). The work is most often cited by research in Equine (55 citations), Agronomy and Crop Science (255 citations), Animal Science and Zoology (221 citations), Biochemistry (83 citations) and Rehabilitation (75 citations). T Gaál has collaborated with scholars based in Hungary, Australia and United Kingdom. Frequent co-authors include Ferenc Húsvéth, Miklós Mézes, Nándor Balogh, Á. Petri, Péter Vajdovich, R. C. Noble, Brian K. Speake, Judit Jakus, Attila Kardos and James C. Dixon. Their work appears in journals such as Veterinary Clinical Pathology, Research in Veterinary Science, Comparative Biochemistry and Physiology Part B Biochemistry and Molecular Biology, Acta Veterinaria Hungarica and Veterinary Research Communications.

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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