G. Kann

2.0k total citations
58 papers, 1.6k citations indexed

About

G. Kann is a scholar working on Agronomy and Crop Science, Genetics and Endocrinology, Diabetes and Metabolism. According to data from OpenAlex, G. Kann has authored 58 papers receiving a total of 1.6k indexed citations (citations by other indexed papers that have themselves been cited), including 25 papers in Agronomy and Crop Science, 18 papers in Genetics and 14 papers in Endocrinology, Diabetes and Metabolism. Recurrent topics in G. Kann's work include Reproductive Physiology in Livestock (24 papers), Growth Hormone and Insulin-like Growth Factors (14 papers) and Estrogen and related hormone effects (7 papers). G. Kann is often cited by papers focused on Reproductive Physiology in Livestock (24 papers), Growth Hormone and Insulin-like Growth Factors (14 papers) and Estrogen and related hormone effects (7 papers). G. Kann collaborates with scholars based in France, Morocco and United States. G. Kann's co-authors include Yves Chilliard, François Bocquier, Carole Delavaud, Arieh Gertler, D. H. Keisler, M.C. Lacroix, J. Martinet, R Denamur, Yannick Faulconnier and Anne Ferlay and has published in prestigious journals such as Nature, FEBS Letters and Endocrinology.

In The Last Decade

G. Kann

57 papers receiving 1.5k citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
G. Kann France 19 638 604 281 264 262 58 1.6k
F. C. Buonomo United States 26 542 0.8× 507 0.8× 348 1.2× 483 1.8× 227 0.9× 72 1.9k
J. Klindt United States 25 695 1.1× 559 0.9× 186 0.7× 428 1.6× 103 0.4× 81 1.7k
G. R. Foxcroft Canada 20 488 0.8× 360 0.6× 131 0.5× 488 1.8× 104 0.4× 43 1.4k
J.E. Wheaton United States 23 878 1.4× 670 1.1× 136 0.5× 326 1.2× 96 0.4× 61 1.6k
R. J. Fairclough Australia 23 1.2k 1.8× 498 0.8× 140 0.5× 172 0.7× 54 0.2× 73 2.1k
Clay A Lents United States 21 669 1.0× 692 1.1× 255 0.9× 371 1.4× 185 0.7× 92 1.5k
M. Amstalden United States 29 1.1k 1.7× 975 1.6× 311 1.1× 437 1.7× 756 2.9× 64 2.4k
B.R. Downey Canada 25 821 1.3× 697 1.2× 432 1.5× 137 0.5× 140 0.5× 70 2.2k
T. van der Lende Netherlands 29 694 1.1× 1.3k 2.2× 256 0.9× 975 3.7× 242 0.9× 81 2.4k
T. Wise United States 25 560 0.9× 932 1.5× 297 1.1× 252 1.0× 42 0.2× 84 1.9k

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-authorship network of co-authors of G. Kann

This figure shows the co-authorship network connecting the top 25 collaborators of G. Kann. A scholar is included among the top collaborators of G. Kann based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with G. Kann. G. Kann is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
1.
Delavaud, Carole, François Bocquier, Yves Chilliard, et al.. (2000). Plasma leptin determination in ruminants: effect of nutritional status and body fatness on plasma leptin concentration assessed by a specific RIA in sheep. Journal of Endocrinology. 165(2). 519–526. 341 indexed citations
2.
Lacroix, Marie-Christine, et al.. (1999). Expression of Growth Hormone and Its Receptor in the Placental and Feto-Maternal Environment during Early Pregnancy in Sheep. Endocrinology. 140(12). 5587–5597. 34 indexed citations
3.
Soares, M. Chaveiro, et al.. (1999). Ovine chorionic somatomammotrophin (oCS) production by isolated cotyledon cells from sheep in early and mid gestation: auto-regulation by recombinant oCS. Journal of Endocrinology. 161(2). 289–298. 1 indexed citations
4.
Lacroix, M.C., Ève Devinoy, Jean‐Luc Servely, C. Puissant, & G. Kann. (1996). Expression of the growth hormone gene in ovine placenta: detection and cellular localization of the protein.. Endocrinology. 137(11). 4886–4892. 57 indexed citations
6.
7.
Petitclerc, D., M. Béarzotti, G. Kann, et al.. (1995). The effect of various introns and transcription terminators on the efficiency of expression vectors in various cultured cell lines and in the mammary gland of transgenic mice. Journal of Biotechnology. 40(3). 169–178. 51 indexed citations
8.
Thépot, Dominique, et al.. (1995). Rabbit whey acidic protein gene upstream region controls high‐level expression of bovine growth hormone in the mammary gland of transgenic mice. Molecular Reproduction and Development. 42(3). 261–267. 25 indexed citations
9.
Bocquier, François, G. Kann, & Jacques Thimonier. (1993). Effects of body composition variations on the duration of the postpartum anovulatory period in milked ewes submitted to two different photoperiods. annales de biologie animale biochimie biophysique. 33(4). 395–403. 8 indexed citations
10.
Etienne, Michel Louis, M. Bonneau, G. Kann, & F. Delétang. (1992). Effects of administration of growth hormone-releasing factor to sows during late gestation on growth hormone secretion, reproductive traits, and performance of progeny from birth to 100 kilograms live weight. Journal of Animal Science. 70(7). 2212–2220. 19 indexed citations
11.
Pointillart, Alain, M. Bonneau, & G. Kann. (1991). Effect of human growth hormone-releasing factor on bone and mineral metabolism in growing pigs.. Journal of Animal Science. 69(4). 1454–1454. 4 indexed citations
12.
13.
Sauvant, D., et al.. (1988). [Influence of twice-daily injections of GRF 1-29 on production, feed intake and nutritional status of lactating goats].. PubMed. 28 Suppl 1. 179–80. 1 indexed citations
14.
Lacroix, M.C. & G. Kann. (1983). Discriminating analysis of “in vitro” prostaglandin release by myometrial and luminal sides of the ewe endometrium. Prostaglandins. 25(6). 853–869. 19 indexed citations
15.
Delouis, Claude, Jean Djiane, G. Kann, et al.. (1978). Induced lactation in cows and heifers by short-term treatment with steroid hormones. annales de biologie animale biochimie biophysique. 18(3). 721–734. 15 indexed citations
16.
Testart, J, G. Kann, J. Saumande, & M. Thibier. (1977). Oestradiol-17β, progesterone, FSH and LH in prepubertal calves induced to superovulate. Reproduction. 51(2). 329–336. 15 indexed citations
17.
Kann, G. & J. Martinet. (1975). Prolactin levels and duration of postpartum anoestrus in lactating ewes. Nature. 257(5521). 63–64. 57 indexed citations
18.
Kann, G. & R Denamur. (1974). POSSIBLE RÔLE OF PROLACTIN DURING THE OESTROUS CYCLE AND GESTATION IN THE EWE. Reproduction. 39(2). 473–483. 52 indexed citations
19.
Breton, Bernard, Roland Billard, Bernard Jalabert, & G. Kann. (1972). Dosage radioimmunologique des gonadotropines plasmatiques chez Carassius auratus, au cours du nycthémère et pendant l'ovulation. General and Comparative Endocrinology. 18(3). 463–468. 42 indexed citations
20.
Pelletier, Jean, et al.. (1968). [Radio-immunologic determination of the plasma luteinizing hormone in sheep. Determination technic].. PubMed. 266(24). 2291–4. 4 indexed citations

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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