Daniel Huneau

995 total citations
10 papers, 813 citations indexed

About

Daniel Huneau is a scholar working on Molecular Biology, Public Health, Environmental and Occupational Health and Reproductive Medicine. According to data from OpenAlex, Daniel Huneau has authored 10 papers receiving a total of 813 indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Molecular Biology, 6 papers in Public Health, Environmental and Occupational Health and 4 papers in Reproductive Medicine. Recurrent topics in Daniel Huneau's work include Reproductive Biology and Fertility (6 papers), Sperm and Testicular Function (4 papers) and Pluripotent Stem Cells Research (3 papers). Daniel Huneau is often cited by papers focused on Reproductive Biology and Fertility (6 papers), Sperm and Testicular Function (4 papers) and Pluripotent Stem Cells Research (3 papers). Daniel Huneau collaborates with scholars based in France, Morocco and United States. Daniel Huneau's co-authors include Jean‐Pierre Ozil, Richard M. Schultz, Tom Ducibella, Szabolcs Tóth, Bernadette Banrezes, Zhe Xu, Gregory S. Kopf, Rafael A. Fissore, Jean-Pierre J.-P. Ozil and Sara Matson and has published in prestigious journals such as Development, Developmental Biology and Reproduction.

In The Last Decade

Daniel Huneau

10 papers receiving 786 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Daniel Huneau France 7 694 482 294 134 100 10 813
Jean‐Pierre Ozil France 10 1.0k 1.4× 637 1.3× 508 1.7× 190 1.4× 178 1.8× 11 1.2k
Chang Li He United States 10 677 1.0× 505 1.0× 283 1.0× 43 0.3× 113 1.1× 10 788
J.-P. Ozil France 9 567 0.8× 282 0.6× 270 0.9× 107 0.8× 156 1.6× 16 689
Adriana Bos‐Mikich Brazil 14 628 0.9× 426 0.9× 324 1.1× 146 1.1× 114 1.1× 37 844
Christopher M. Saunders United Kingdom 8 1.3k 1.8× 988 2.0× 536 1.8× 95 0.7× 280 2.8× 10 1.5k
Jennifer P. Barfield United States 14 370 0.5× 337 0.7× 252 0.9× 46 0.3× 93 0.9× 34 622
TOSIRO HOSI Japan 3 449 0.6× 381 0.8× 215 0.7× 43 0.3× 182 1.8× 6 659
Sue Lintern‐Moore Australia 17 645 0.9× 354 0.7× 299 1.0× 95 0.7× 175 1.8× 32 966
M. Geshi Japan 17 808 1.2× 513 1.1× 325 1.1× 170 1.3× 241 2.4× 69 1.1k
Goli Ardestani United States 12 221 0.3× 173 0.4× 131 0.4× 64 0.5× 47 0.5× 27 440

Countries citing papers authored by Daniel Huneau

Since Specialization
Citations

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

Fields of papers citing papers by Daniel Huneau

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Daniel Huneau

This figure shows the co-authorship network connecting the top 25 collaborators of Daniel Huneau. A scholar is included among the top collaborators of Daniel Huneau 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 Huneau. Daniel Huneau is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

10 of 10 papers shown
1.
Ozil, Jean‐Pierre, Styliani Markoulaki, Szabolcs Tóth, et al.. (2005). Egg activation events are regulated by the duration of a sustained [Ca2+]cyt signal in the mouse. Developmental Biology. 282(1). 39–54. 143 indexed citations
2.
Tóth, Szabolcs, Daniel Huneau, Bernadette Banrezes, & Jean-Pierre J.-P. Ozil. (2005). Egg activation is the result of calcium signal summation in the mouse. Reproduction. 131(1). 27–34. 88 indexed citations
3.
Huneau, Daniel, Szabolcs Tóth, & J.-P. Ozil. (2004). 299 OOCYTE ACTIVATION IS THE RESULT OF CALCIUM SIGNAL SUMMATION. Reproduction Fertility and Development. 16(2). 269–269. 2 indexed citations
4.
Banrezes, Bernadette, Szabolcs Tóth, Daniel Huneau, Richard M. Schultz, & J.-P. Ozil. (2004). 297 A METHOD TO DRIVE CALCIUM SIGNALLING DYNAMICS IN FERTILIZED MOUSE EGGS. Reproduction Fertility and Development. 16(2). 268–268. 5 indexed citations
5.
Ducibella, Tom, Daniel Huneau, Zhe Xu, et al.. (2002). Egg-to-Embryo Transition Is Driven by Differential Responses to Ca2+ Oscillation Number. Developmental Biology. 250(2). 280–291. 319 indexed citations
6.
Ozil, Jean‐Pierre & Daniel Huneau. (2001). Activation of rabbit oocytes: the impact of the Ca2+ signal regime on development. Development. 128(6). 917–928. 188 indexed citations
7.
Gall, Laurence, et al.. (1989). Cytokeratin-like proteins in the sheep oocyte. Cell Differentiation and Development. 28(2). 95–104. 18 indexed citations
8.
Huneau, Daniel, et al.. (1988). Monoclonal antibody labelling of human spermatozoa: an electron microscope study. International Journal of Andrology. 11(1). 13–24. 4 indexed citations
9.
Huneau, Daniel, R. A. Harrison, & J.E. Fléchon. (1984). Ultrastructural localization of proacrosin and acrosin in ram spermatozoa. Gamete Research. 9(4). 425–440. 25 indexed citations
10.
Huneau, Daniel, et al.. (1979). Acrosin does not appear to be bound to the inner acrosomal membrane of bull spermatozoa. Journal of Experimental Zoology. 209(1). 143–149. 21 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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