Michael Davis

15.4k total citations · 1 hit paper
221 papers, 12.1k citations indexed

About

Michael Davis is a scholar working on Genetics, Agronomy and Crop Science and Cognitive Neuroscience. According to data from OpenAlex, Michael Davis has authored 221 papers receiving a total of 12.1k indexed citations (citations by other indexed papers that have themselves been cited), including 55 papers in Genetics, 51 papers in Agronomy and Crop Science and 47 papers in Cognitive Neuroscience. Recurrent topics in Michael Davis's work include Genetic and phenotypic traits in livestock (48 papers), Memory and Neural Mechanisms (43 papers) and Stress Responses and Cortisol (40 papers). Michael Davis is often cited by papers focused on Genetic and phenotypic traits in livestock (48 papers), Memory and Neural Mechanisms (43 papers) and Stress Responses and Cortisol (40 papers). Michael Davis collaborates with scholars based in United States, South Korea and New Zealand. Michael Davis's co-authors include Young-Lim Lee, Christian Grillon, Changjun Shi, Kerry J. Ressler, Serge Campeau, Karyn M. Myers, Charles A. Morgan, Steven M. Southwick, Jonathan C. Gewirtz and William A. Falls and has published in prestigious journals such as Nature, Proceedings of the National Academy of Sciences and Circulation.

In The Last Decade

Michael Davis

213 papers receiving 11.6k citations

Hit Papers

The Role of the Amygdala in Fear and Anxiety 1992 2026 2003 2014 1992 500 1000 1.5k

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Michael Davis United States 55 4.7k 3.8k 3.3k 2.3k 1.7k 221 12.1k
Berend Olivier Netherlands 66 2.3k 0.5× 4.8k 1.2× 3.1k 0.9× 4.1k 1.8× 3.1k 1.9× 376 16.0k
R.J. Rodgers United Kingdom 61 2.7k 0.6× 5.5k 1.4× 2.9k 0.9× 3.3k 1.5× 2.8k 1.7× 206 12.3k
Carmen Sandi Switzerland 65 3.5k 0.7× 3.9k 1.0× 6.2k 1.9× 4.5k 2.0× 2.6k 1.5× 248 14.6k
Giovanni Laviola Italy 57 2.2k 0.5× 4.4k 1.2× 2.7k 0.8× 3.0k 1.3× 2.2k 1.3× 241 10.8k
Gal Richter‐Levin Israel 59 4.0k 0.9× 4.0k 1.0× 4.7k 1.4× 2.6k 1.2× 1.3k 0.8× 221 11.1k
Catherine Belzung France 62 3.3k 0.7× 7.0k 1.8× 6.9k 2.1× 4.2k 1.8× 3.7k 2.2× 209 20.4k
Stefano Puglisi‐Allegra Italy 54 2.3k 0.5× 4.9k 1.3× 2.3k 0.7× 1.9k 0.8× 2.7k 1.7× 244 9.5k
Monika Fleshner United States 72 2.3k 0.5× 3.0k 0.8× 5.6k 1.7× 2.3k 1.0× 3.0k 1.8× 213 16.1k
Peter Meerlo Netherlands 58 3.8k 0.8× 1.9k 0.5× 3.0k 0.9× 2.3k 1.0× 768 0.5× 150 11.1k
Jill B. Becker United States 63 2.2k 0.5× 7.6k 2.0× 3.8k 1.1× 3.8k 1.7× 3.0k 1.8× 137 15.0k

Countries citing papers authored by Michael Davis

Since Specialization
Citations

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

Fields of papers citing papers by Michael Davis

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Michael Davis

This figure shows the co-authorship network connecting the top 25 collaborators of Michael Davis. A scholar is included among the top collaborators of Michael Davis 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 Michael Davis. Michael Davis 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.
Wang, Zeyu, Zhi Ling, Gregory K. Tharp, et al.. (2025). Spaceflight alters protein levels and gene expression associated with stress response and metabolic characteristics in human cardiac spheroids. Biomaterials. 317. 123080–123080. 2 indexed citations
2.
Lippmann, John, Chris Lawrence, & Michael Davis. (2021). Snorkelling and breath-hold diving fatalities in New Zealand, 2007 to 2016. Diving and Hyperbaric Medicine Journal. 51(1). 25–33. 5 indexed citations
3.
Chung, Ho Young, et al.. (2015). Associations between genetic variants in the promoter region of the insulin-like growth factor-1 (IGF1) gene and blood serum IGF1 concentration in Hanwoo cattle. Genetics and Molecular Research. 14(2). 3026–3035. 1 indexed citations
4.
Davis, Michael, Lin Zhou, James L. Wisecarver, et al.. (2012). Induction of Colonic Aberrant Crypts in Mice by Feeding Apparent N-Nitroso Compounds Derived From Hot Dogs. Nutrition and Cancer. 64(2). 342–349. 11 indexed citations
5.
Kazama, Andy M., Eric Heuer, Michael Davis, & Jocelyne Bachevalier. (2012). Effects of neonatal amygdala lesions on fear learning, conditioned inhibition, and extinction in adult macaques.. Behavioral Neuroscience. 126(3). 392–403. 31 indexed citations
7.
Choi, Dennis C., et al.. (2008). Learning-Dependent Structural Plasticity in the Adult Olfactory Pathway. Journal of Neuroscience. 28(49). 13106–13111. 96 indexed citations
9.
Davis, Michael, et al.. (2006). Further studies on apparent total N-nitroso compound excretion in mouse feces.. Cancer Epidemiology and Prevention Biomarkers. 15. 1 indexed citations
10.
Myers, Karyn M., Kerry J. Ressler, & Michael Davis. (2006). Different mechanisms of fear extinction dependent on length of time since fear acquisition. Learning & Memory. 13(2). 216–223. 256 indexed citations
11.
Kegley, E. B., et al.. (2005). Level and source of supplemental selenium for beef steers. Journal of the Arkansas Academy of Science. 6(1). 15–22. 3 indexed citations
12.
Emsen, Ebru & Michael Davis. (2004). Canonical correlation analyses of testicular and body measurements of Awassi ram lambs. Journal of Animal and Veterinary Advances. 3(12). 842–845. 2 indexed citations
13.
Apple, J. K., Cynthia Maxwell, Michael Davis, et al.. (2004). Effects of ractopamine and dietary fat source on performance and carcass characteristics of growing-finishing swine. Poultry Science. 83. 135. 4 indexed citations
14.
Davis, Michael, et al.. (2004). Estimation of (co)variance components for reproductive traits in Angus beef cattle divergently selected for blood serum IGF-I concentration123. Journal of Animal Science. 82(8). 2285–2292. 38 indexed citations
15.
Bueger, Christian, P. Elliott Miller, Robert A. Leedle, et al.. (2000). Safety evaluation of intravitreal administration of rhuFab VEGF in cynomolgus monkeys for 3 months. 41(4). 14215. 1 indexed citations
16.
Ge, Wei, et al.. (1997). Two SSCP alleles detected in the 5'-flanking region of bovine IGF1 gene.. PubMed. 28(2). 155–6. 30 indexed citations
17.
Bishop, M. D., et al.. (1993). Divergent selection for postweaning feed conversion in Angus beef cattle: III. Linear body measurements of progeny2. Journal of Animal Science. 71(2). 334–340. 1 indexed citations
18.
Fenoglio‐Preiser, Cecilia M., Patrik Lantz, Margaret B. Listrom, Michael Davis, & Franco Rilke. (1991). Gastrointestinal Pathology. Journal of Pediatric Gastroenterology and Nutrition. 12(1). 144–144. 8 indexed citations
19.
Davis, Michael, et al.. (1987). Life Cycle Efficiency of Beef Production: VII. Prediction of Cow Efficiency Ratios for Progeny Weaned and Slaughtered3. Journal of Animal Science. 64(1). 50–64. 3 indexed citations
20.
Sheard, Michael, David I. Astrachan, & Michael Davis. (1975). Effect of noise on shock-elicited aggression in rats. Nature. 257(5521). 43–44. 7 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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