Mark E. Berres

1.2k total citations
40 papers, 851 citations indexed

About

Mark E. Berres is a scholar working on Molecular Biology, Genetics and Animal Science and Zoology. According to data from OpenAlex, Mark E. Berres has authored 40 papers receiving a total of 851 indexed citations (citations by other indexed papers that have themselves been cited), including 13 papers in Molecular Biology, 10 papers in Genetics and 7 papers in Animal Science and Zoology. Recurrent topics in Mark E. Berres's work include Animal Nutrition and Physiology (7 papers), Prenatal Substance Exposure Effects (6 papers) and Mycorrhizal Fungi and Plant Interactions (5 papers). Mark E. Berres is often cited by papers focused on Animal Nutrition and Physiology (7 papers), Prenatal Substance Exposure Effects (6 papers) and Mycorrhizal Fungi and Plant Interactions (5 papers). Mark E. Berres collaborates with scholars based in United States, Finland and China. Mark E. Berres's co-authors include Ana Garic, George R. Flentke, Janet E. Fulton, Susan M. Smith, Kohji Kusano, William R. Engels, David J. McLaughlin, Les J. Szabo, Susan M. Smith and Amy M. McCarron and has published in prestigious journals such as Proceedings of the National Academy of Sciences, PLoS ONE and Cancer Research.

In The Last Decade

Mark E. Berres

39 papers receiving 831 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Mark E. Berres United States 17 392 226 148 148 103 40 851
Ahmed Z. Balboula United States 21 403 1.0× 186 0.8× 81 0.5× 102 0.7× 115 1.1× 57 1.1k
Penny K. Riggs United States 18 323 0.8× 421 1.9× 131 0.9× 39 0.3× 111 1.1× 76 987
Juliette Cognié France 17 326 0.8× 186 0.8× 175 1.2× 39 0.3× 89 0.9× 40 1.2k
Jacob C. Thundathil Canada 26 425 1.1× 464 2.1× 60 0.4× 176 1.2× 214 2.1× 85 1.9k
Rick Tearle Australia 14 379 1.0× 330 1.5× 100 0.7× 56 0.4× 68 0.7× 38 775
Joanna Nowacka‐Woszuk Poland 17 494 1.3× 560 2.5× 83 0.6× 91 0.6× 72 0.7× 87 958
Salvatore Naitana Italy 30 562 1.4× 500 2.2× 155 1.0× 264 1.8× 70 0.7× 109 2.5k
Kathrin A. Dunlap United States 23 506 1.3× 326 1.4× 107 0.7× 255 1.7× 65 0.6× 54 1.7k
Federica Franciosi Italy 25 835 2.1× 269 1.2× 65 0.4× 179 1.2× 34 0.3× 68 2.0k
Seán Fair Ireland 26 225 0.6× 467 2.1× 82 0.6× 60 0.4× 106 1.0× 99 1.9k

Countries citing papers authored by Mark E. Berres

Since Specialization
Citations

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

Fields of papers citing papers by Mark E. Berres

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Mark E. Berres. 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 Mark E. Berres. The network helps show where Mark E. Berres may publish in the future.

Co-authorship network of co-authors of Mark E. Berres

This figure shows the co-authorship network connecting the top 25 collaborators of Mark E. Berres. A scholar is included among the top collaborators of Mark E. Berres 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 Mark E. Berres. Mark E. Berres 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.
Veith, Alex, Jennifer J. Meudt, Derek M. Pavelec, et al.. (2025). The draft genome of the Wisconsin Miniature SwineTM, a valuable biomedical research tool. G3 Genes Genomes Genetics. 15(6). 2 indexed citations
2.
Schwartz, Patrick B., Manabu Nukaya, Mark E. Berres, et al.. (2023). The circadian clock is disrupted in pancreatic cancer. PLoS Genetics. 19(6). e1010770–e1010770. 20 indexed citations
3.
Turner, Amy, et al.. (2023). Characterization of complex structural variation in the CYP2D6-CYP2D7-CYP2D8 gene loci using single-molecule long-read sequencing. Frontiers in Pharmacology. 14. 1195778–1195778. 8 indexed citations
4.
Lee, Yin Yeng, Sibel Cal‐Kayitmazbatir, Lauren J. Francey, et al.. (2022). duperis a null mutation of Cryptochrome 1 in Syrian hamsters. Proceedings of the National Academy of Sciences. 119(18). e2123560119–e2123560119. 4 indexed citations
5.
Baker, Lauren, Mehdi Momen, Rachel M. McNally, et al.. (2021). Biologically Enhanced Genome-Wide Association Study Provides Further Evidence for Candidate Loci and Discovers Novel Loci That Influence Risk of Anterior Cruciate Ligament Rupture in a Dog Model. Frontiers in Genetics. 12. 593515–593515. 11 indexed citations
6.
Rhoads, Timothy W., Josef P. Clark, Karl N. Miller, et al.. (2020). Molecular and Functional Networks Linked to Sarcopenia Prevention by Caloric Restriction in Rhesus Monkeys. Cell Systems. 10(2). 156–168.e5. 35 indexed citations
7.
Flentke, George R., et al.. (2019). Exon level machine learning analyses elucidate novel candidate miRNA targets in an avian model of fetal alcohol spectrum disorder. PLoS Computational Biology. 15(4). e1006937–e1006937. 8 indexed citations
8.
Miller, Marcia M., et al.. (2019). Mhc-B haplotypes in “Campero-Inta” chicken synthetic line. Poultry Science. 98(11). 5281–5286. 14 indexed citations
9.
Gannes, Vidya de, et al.. (2018). The Integrative Conjugative Element clc (ICEclc) of Pseudomonas aeruginosa JB2. Frontiers in Microbiology. 9. 1532–1532. 14 indexed citations
10.
Fulton, Janet E., Mark E. Berres, Juha Kantanen, & Mervi Honkatukia. (2017). MHC-B variability within the Finnish Landrace chicken conservation program. Poultry Science. 96(9). 3026–3030. 19 indexed citations
11.
Fulton, Janet E., Ashlee R. Lund, Amy M. McCarron, et al.. (2016). MHC variability in heritage breeds of chickens. Poultry Science. 95(2). 393–399. 25 indexed citations
12.
Nguyen‐Phuc, Hoa, Janet E. Fulton, & Mark E. Berres. (2016). Genetic variation of major histocompatibility complex (MHC) in wild Red Junglefowl (Gallus gallus). Poultry Science. 95(2). 400–411. 23 indexed citations
13.
Deutschman, Douglas H., et al.. (2016). Dynamic landscapes shape post‐wildfire recolonisation and genetic structure of the endangered H ermes copper ( L ycaena hermes ) butterfly. Ecological Entomology. 41(3). 327–337. 9 indexed citations
14.
Arango, Rachel A., et al.. (2015). Genetic Analysis of Termite Colonies in Wisconsin. Environmental Entomology. 44(3). 890–897. 8 indexed citations
15.
Richards, Mark P., Robert S. Parker, Mark E. Berres, et al.. (2015). Role of Cytochrome P450 Hydroxylase in the Decreased Accumulation of Vitamin E in Muscle from Turkeys Compared to that from Chickens. Journal of Agricultural and Food Chemistry. 64(3). 671–680. 9 indexed citations
16.
Berres, Mark E., et al.. (2014). Genetic Population Structure of the Blister Beetle,Gnathium minimum: Core and Peripheral Populations. Journal of Heredity. 105(6). 878–886. 7 indexed citations
17.
Smith, Susan M., Ana Garic, Mark E. Berres, & George R. Flentke. (2014). Genomic factors that shape craniofacial outcome and neural crest vulnerability in FASD. Frontiers in Genetics. 5. 224–224. 22 indexed citations
18.
Fu, Vivian, Joseph R. Dobosy, Joshua A. Desotelle, et al.. (2008). Aging and Cancer-Related Loss of Insulin-like Growth Factor 2 Imprinting in the Mouse and Human Prostate. Cancer Research. 68(16). 6797–6802. 64 indexed citations
19.
20.
Berres, Mark E., Les J. Szabo, & David J. McLaughlin. (1995). Phylogenetic relationships in auriculariaceous basidiomycetes based on 25S ribosomal DNA sequences. Mycologia. 87(6). 821–840. 29 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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