Daniel D. Guemene

3.4k total citations · 1 hit paper
87 papers, 2.5k citations indexed

About

Daniel D. Guemene is a scholar working on Animal Science and Zoology, Small Animals and Genetics. According to data from OpenAlex, Daniel D. Guemene has authored 87 papers receiving a total of 2.5k indexed citations (citations by other indexed papers that have themselves been cited), including 60 papers in Animal Science and Zoology, 27 papers in Small Animals and 20 papers in Genetics. Recurrent topics in Daniel D. Guemene's work include Animal Nutrition and Physiology (54 papers), Animal Behavior and Welfare Studies (26 papers) and Hypothalamic control of reproductive hormones (17 papers). Daniel D. Guemene is often cited by papers focused on Animal Nutrition and Physiology (54 papers), Animal Behavior and Welfare Studies (26 papers) and Hypothalamic control of reproductive hormones (17 papers). Daniel D. Guemene collaborates with scholars based in France, Canada and Morocco. Daniel D. Guemene's co-authors include Sabine Richard, Pierre Mormède, Gerhard Manteuffel, Jens Malmkvist, Xavier Manteca, Patrick Prunet, Stéphane Andanson, Benoît Aupérin, B. Beerda and Isabelle Veissier and has published in prestigious journals such as PLoS ONE, Life Sciences and Aquaculture.

In The Last Decade

Daniel D. Guemene

85 papers receiving 2.4k citations

Hit Papers

Exploration of the hypothalamic–pituitary–adrenal functio... 2007 2026 2013 2019 2007 200 400 600

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Daniel D. Guemene France 25 1.7k 960 488 329 234 87 2.5k
Sandrine Mignon-Grasteau France 32 1.7k 1.0× 417 0.4× 1.0k 2.1× 212 0.6× 280 1.2× 81 2.9k
I. Rozenboim Israel 32 1.9k 1.2× 301 0.3× 581 1.2× 335 1.0× 284 1.2× 99 3.3k
Gerd Nürnberg Germany 32 1.0k 0.6× 801 0.8× 704 1.4× 113 0.3× 160 0.7× 105 2.8k
P. Orgeur France 31 788 0.5× 1.1k 1.1× 726 1.5× 187 0.6× 215 0.9× 75 2.3k
Martin Dehnhard Germany 27 546 0.3× 929 1.0× 377 0.8× 401 1.2× 665 2.8× 86 2.1k
J.B. Kjær Germany 30 2.4k 1.5× 1.6k 1.7× 323 0.7× 339 1.0× 186 0.8× 81 3.1k
B. Robinzon Israel 20 701 0.4× 291 0.3× 229 0.5× 204 0.6× 131 0.6× 91 1.6k
C.J. Savory United Kingdom 34 2.7k 1.6× 1.4k 1.5× 213 0.4× 380 1.2× 375 1.6× 98 3.3k
Geoffrey Hinch Australia 30 1.4k 0.8× 1.5k 1.6× 1.2k 2.4× 237 0.7× 322 1.4× 144 3.1k
Dominic Wright Sweden 32 731 0.4× 243 0.3× 1.2k 2.4× 252 0.8× 239 1.0× 87 3.4k

Countries citing papers authored by Daniel D. Guemene

Since Specialization
Citations

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

Fields of papers citing papers by Daniel D. Guemene

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Daniel D. Guemene. 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 Daniel D. Guemene. The network helps show where Daniel D. Guemene may publish in the future.

Co-authorship network of co-authors of Daniel D. Guemene

This figure shows the co-authorship network connecting the top 25 collaborators of Daniel D. Guemene. A scholar is included among the top collaborators of Daniel D. Guemene 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 Daniel D. Guemene. Daniel D. Guemene 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.
Lumineau, Sophie, Isabelle George, Maryse Meurisse, et al.. (2024). Maternal stress effects across generations in a precocial bird. Royal Society Open Science. 11(8). 231826–231826. 2 indexed citations
2.
Calandreau, Ludovic, Aline Bertin, Alain Boissy, et al.. (2010). Effect of one week of stress on emotional reactivity and learning and memory performances in Japanese quail. Behavioural Brain Research. 217(1). 104–110. 32 indexed citations
3.
Guemene, Daniel D., C. Aubert, Isabelle Bouvarel, et al.. (2009). Organic poultry production in France: status, bottlenecks, advantages and perspectives.. INRAE Productions Animales. 22(3). 161–178. 3 indexed citations
4.
5.
Guemene, Daniel D., et al.. (2007). Characterization of CRF, AVT, and ACTH cDNA and pituitary-adrenal axis function in Japanese quail divergently selected for tonic immobility. American Journal of Physiology-Regulatory, Integrative and Comparative Physiology. 293(3). R1421–R1429. 20 indexed citations
6.
Mormède, Pierre, Stéphane Andanson, Benoît Aupérin, et al.. (2007). Exploration of the hypothalamic–pituitary–adrenal function as a tool to evaluate animal welfare. Physiology & Behavior. 92(3). 317–339. 618 indexed citations breakdown →
7.
Hazard, Dominique, et al.. (2007). Intensity and duration of corticosterone response to stressful situations in Japanese quail divergently selected for tonic immobility. General and Comparative Endocrinology. 155(2). 288–297. 47 indexed citations
8.
Faure, Jean Michel, Cécile Arnould, Daniel D. Guemene, et al.. (2006). Consequences of selection for fear in Japanese quail. Archiv für Geflügelkunde. 70(5). 216–222. 17 indexed citations
9.
Beaumont, Catherine, Katia Fève, Florence Vignoles, et al.. (2005). A genome scan with AFLPTM markers to detect fearfulness‐related QTLs in Japanese quail. Animal Genetics. 36(5). 401–407. 37 indexed citations
10.
12.
Faure, Jean-Michel, David Val‐Laillet, Guy Griebel, Marie-Dominique Bernadet, & Daniel D. Guemene. (2003). Fear and stress reactions in two species of duck and their hybrid. Hormones and Behavior. 43(5). 568–572. 31 indexed citations
13.
Mignon-Grasteau, Sandrine, Constance Delaby, Jean-Michel Faure, et al.. (2003). Factorial correspondence analysis of fear-related behaviour traits in Japanese quail. Behavioural Processes. 61(1-2). 69–75. 44 indexed citations
14.
Guemene, Daniel D., et al.. (2003). Degree of sex reversal as related to plasma steroid levels in genetic female chickens (Gallus domesticus) treated with fadrozole. Molecular Reproduction and Development. 65(4). 420–428. 32 indexed citations
15.
Baéza, Élisabeth, et al.. (2001). Sexual dimorphism for growth in Muscovy ducks and changes in insulin-like growth factor I (IGF-I), growth hormone (GH) and triiodothyronine (T3) plasma levels. annales de biologie animale biochimie biophysique. 41(2). 173–179. 34 indexed citations
16.
Guemene, Daniel D., et al.. (1997). Changes in expression of the prolactin and growth hormone gene during different reproductive stages in the pituitary gland of turkeys. annales de biologie animale biochimie biophysique. 37(1). 69–79. 17 indexed citations
17.
Launay, Frédéric, et al.. (1996). Sélection pour le comportement : l'exemple de la caille. HAL (Le Centre pour la Communication Scientifique Directe).
18.
Karatzas, C.N., Daniel D. Guemene, D. Zadworny, & U. Kühnlein. (1993). Production and characterization of recombinant turkey prolactin. Comparative Biochemistry and Physiology Part B Comparative Biochemistry. 106(2). 273–280. 10 indexed citations
19.
Leboucher, Gérard, Marie‐Annick Richard‐Yris, Daniel D. Guemene, & A. Chadwick. (1993). Respective effects of chicks and nest on behavior and hormonal concentrations of incubating domestic hens. Physiology & Behavior. 54(1). 135–140. 15 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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