G. Kann

2.0k citations
58 papers · 1.6k · h-index 19

Impact in

Papers in

G. Kann

57 papers receiving 1.5k citations

Peers

G. Kann
Comparison fields: 5 of 78
  • Agronomy and Crop Science 630
  • Endocrine and Autonomic Systems 260
  • Animal Science and Zoology 261
  • Genetics 595
  • Equine 32
Replace E. L. Sheldrick with:
E. L. Sheldrick United Kingdom
Michael J. Fields United States
R. J. Fairclough Australia
S. R. McMillen United Kingdom
D. O’Callaghan Ireland
H. M. Fraser United Kingdom
F. C. Buonomo United States
Clay A Lents United States
F. Forcada Spain
B.R. Downey Canada
G. Kann relative to E. L. Sheldrick United Kingdom E. L. Sheldrick's profile →
Citations per field
00.5×2.6×
E. L. Sheldrick · 1×
Citations per year

Countries citing papers authored by G. Kann

Since Specialization
Citations

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

Fields of papers citing papers by G. Kann

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 58 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2000341
2 2002174
3 2002168
4 197264
5 199658
6 197557
7 197452
8 199551
9 198245
10 197242
11 199636
12
[Radioimmunoassay of a gonadotropic hormone of the carp (Cyprinus carpio L.)].
197136
13 199934
14 200226
15 199525
16 199923
17 199021
18 199220
19 198319
20 200217

About G. Kann

G. Kann is a scholar working on Agronomy and Crop Science, Genetics, Endocrinology, Diabetes and Metabolism, Animal Science and Zoology and Molecular Biology, having authored 58 papers that have together received 1.6k indexed citations. Recurring topics across this work include Reproductive Physiology in Livestock (24 papers), Growth Hormone and Insulin-like Growth Factors (14 papers), Estrogen and related hormone effects (7 papers), Animal Genetics and Reproduction (5 papers), Effects of Environmental Stressors on Livestock (5 papers), Infant Nutrition and Health (4 papers), Animal Behavior and Welfare Studies (4 papers) and Birth, Development, and Health (4 papers). The work is most often cited by research in Agronomy and Crop Science (630 citations), Endocrine and Autonomic Systems (260 citations), Animal Science and Zoology (261 citations), Genetics (595 citations) and Equine (32 citations). G. Kann has collaborated with scholars based in France, Morocco and United States. Frequent co-authors include Yves Chilliard, François Bocquier, Carole Delavaud, Arieh Gertler, D. H. Keisler, M.C. Lacroix, J. Martinet, R Denamur, Anne Ferlay and Yannick Faulconnier. Their work appears in journals such as Journal of Endocrinology, Journal of Animal Science, Prostaglandins, European Journal of Endocrinology and Biology of Reproduction.

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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