M Champoux

3.1k total citations
20 papers, 2.3k citations indexed

About

M Champoux is a scholar working on Plant Science, Social Psychology and Cellular and Molecular Neuroscience. According to data from OpenAlex, M Champoux has authored 20 papers receiving a total of 2.3k indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Plant Science, 6 papers in Social Psychology and 5 papers in Cellular and Molecular Neuroscience. Recurrent topics in M Champoux's work include Stress Responses and Cortisol (5 papers), Plant Disease Resistance and Genetics (4 papers) and Neuroendocrine regulation and behavior (4 papers). M Champoux is often cited by papers focused on Stress Responses and Cortisol (5 papers), Plant Disease Resistance and Genetics (4 papers) and Neuroendocrine regulation and behavior (4 papers). M Champoux collaborates with scholars based in United States, Germany and Philippines. M Champoux's co-authors include Stephen J. Suomi, Susan R. McCouch, J. Dee Higley, Klaus‐Peter Lesch, D. J. Mackill, Allyson J. Bennett, M. Linnoila, Rebecca Nelson, Guo‐Liang Wang and J. M. Bonman and has published in prestigious journals such as Biological Psychiatry, Genetics and Neuropsychopharmacology.

In The Last Decade

M Champoux

19 papers receiving 2.2k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
M Champoux United States 13 915 613 567 424 389 20 2.3k
Clarissa C. Parker United States 22 77 0.1× 305 0.5× 363 0.6× 282 0.7× 365 0.9× 39 1.6k
Pierre L. Roubertoux France 31 77 0.1× 500 0.8× 1.1k 1.9× 187 0.4× 475 1.2× 99 3.2k
G. D. Phillips United Kingdom 32 129 0.1× 387 0.6× 173 0.3× 296 0.7× 1.5k 3.9× 120 3.3k
Anders Ågmo Norway 37 94 0.1× 2.7k 4.3× 309 0.5× 933 2.2× 1.3k 3.4× 150 4.8k
Elizabeth A. D. Hammock United States 24 85 0.1× 1.7k 2.7× 416 0.7× 288 0.7× 227 0.6× 51 2.4k
Timothy K. Newman United States 26 47 0.1× 1.0k 1.7× 286 0.5× 739 1.7× 748 1.9× 31 2.7k
Éva Mikics Hungary 27 64 0.1× 821 1.3× 125 0.2× 810 1.9× 821 2.1× 49 2.1k
Jane E. Robinson United Kingdom 38 82 0.1× 786 1.3× 752 1.3× 228 0.5× 510 1.3× 95 4.5k
Oliver J. Bosch Germany 33 108 0.1× 3.5k 5.7× 317 0.6× 1.7k 4.0× 357 0.9× 62 4.3k
Stephen C. Maxson United States 18 44 0.0× 745 1.2× 694 1.2× 426 1.0× 995 2.6× 58 2.6k

Countries citing papers authored by M Champoux

Since Specialization
Citations

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

Fields of papers citing papers by M Champoux

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of M Champoux

This figure shows the co-authorship network connecting the top 25 collaborators of M Champoux. A scholar is included among the top collaborators of M Champoux 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 M Champoux. M Champoux 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.
Barr, Christina S., Timothy K. Newman, Stephen G. Lindell, et al.. (2004). Early Experience and Sex Interact to Influence Limbic‐Hypothalamic‐Pituitary‐Adrenal‐Axis Function After Acute Alcohol Administration in Rhesus Macaques (Macaca mulatta). Alcoholism Clinical and Experimental Research. 28(7). 1114–1119. 32 indexed citations
2.
Barr, Christina S., Timothy K. Newman, Michelle Becker, et al.. (2003). The utility of the non‐human primate model for studying gene by environment interactions in behavioral research. Genes Brain & Behavior. 2(6). 336–340. 192 indexed citations
3.
Bennett, Allyson J., Klaus‐Peter Lesch, Armin Heils, et al.. (2002). Early experience and serotonin transporter gene variation interact to influence primate CNS function. Molecular Psychiatry. 7(1). 118–122. 458 indexed citations
4.
Bennett, Allyson J., Klaus‐Peter Lesch, Armin Heils, et al.. (2002). Early experience and serotonin transporter gene variation interact to influence primate CNS function. Molecular Psychiatry. 7(1). 118–122. 46 indexed citations
5.
Champoux, M, Allyson J. Bennett, Courtney Shannon, et al.. (2002). Serotonin transporter gene polymorphism, differential early rearing, and behavior in rhesus monkey neonates. Molecular Psychiatry. 7(10). 1058–1063. 289 indexed citations
6.
Westergaard, G. C., M Champoux, & S.J. Suomi. (2001). Plasma cortisol is associated with handedness in infant rhesus monkeys. Developmental Psychobiology. 38(2). 116–122. 11 indexed citations
7.
Lafïtte, H.R., M Champoux, Graham McLaren, & J. C. O’Toole. (2001). Rice root morphological traits are related to isozyme group and adaptation. Field Crops Research. 71(1). 57–70. 67 indexed citations
8.
Champoux, M, et al.. (2000). Rhesus monkeys with late-onset hydrocephalus differ from non-impaired animals during neonatal neurobehavioral assessments: six-year retrospective analysis.. PubMed. 50(2). 218–24. 2 indexed citations
9.
Higley, J. Dee, Allyson J. Bennett, Armin Heils, et al.. (2000). 35. Early rearing & genotypic influences on CNS serotonin & behavior in nonhuman primates. Biological Psychiatry. 47(8). S10–S11. 2 indexed citations
10.
Ray, Jeffery D., et al.. (1996). Mapping quantitative trait loci associated with root penetration ability in rice (Oryza sativa L.). Theoretical and Applied Genetics. 92(6). 627–636. 134 indexed citations
11.
12.
Champoux, M, Megan R. Gunnar, W. Thomas Boyce, & Stephen J. Suomi. (1996). Salivary cortisol in nursery-reared rhesus monkey infants. Infant Behavior and Development. 19. 384–384. 1 indexed citations
13.
Yu, Le, et al.. (1996). Mapping quantitative trait loci associated with root penetration ability in rice (Oryza sativa L.). Theoretical and Applied Genetics. 92(6). 627–636. 9 indexed citations
14.
Champoux, M, et al.. (1995). Development of iron deficiency anemia in infant rhesus macaques.. PubMed. 45(1). 15–21. 16 indexed citations
15.
Champoux, M, S. Sarkarung, D. J. Mackill, et al.. (1995). Locating genes associated with root morphology and drought avoidance in rice via linkage to molecular markers. Theoretical and Applied Genetics. 90(7-8). 969–981. 303 indexed citations
16.
Wang, Guo‐Liang, D. J. Mackill, J. M. Bonman, et al.. (1994). RFLP mapping of genes conferring complete and partial resistance to blast in a durably resistant rice cultivar.. Genetics. 136(4). 1421–1434. 429 indexed citations
17.
Scott, Ridgway, M Champoux, & W. T. Schapaugh. (1994). Influence of environmental productivity levels and yield stability on selection strategies in soybean. Euphytica. 78(1-2). 115–122.
18.
Champoux, M, et al.. (1994). Temperament differences between captive Indian and Chinese-Indian hybrid rhesus macaque neonates.. PubMed. 44(4). 351–7. 47 indexed citations
19.
Champoux, M, Christopher L. Coe, S. M. Schanberg, Cynthia M. Kuhn, & Stephen J. Suomi. (1989). Hormonal effects of early rearing conditions in the infant rhesus monkey. American Journal of Primatology. 19(2). 111–117. 77 indexed citations
20.
Champoux, M, et al.. (1988). Use of chromosomal translocations to locate genes in maize for resistance to high‐pH soil. Journal of Plant Nutrition. 11(6-11). 783–791. 2 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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