M. C. T. Penedo

5.7k total citations
88 papers, 2.6k citations indexed

About

M. C. T. Penedo is a scholar working on Genetics, Molecular Biology and Cell Biology. According to data from OpenAlex, M. C. T. Penedo has authored 88 papers receiving a total of 2.6k indexed citations (citations by other indexed papers that have themselves been cited), including 36 papers in Genetics, 30 papers in Molecular Biology and 14 papers in Cell Biology. Recurrent topics in M. C. T. Penedo's work include Genetic and phenotypic traits in livestock (27 papers), Genetic diversity and population structure (16 papers) and melanin and skin pigmentation (11 papers). M. C. T. Penedo is often cited by papers focused on Genetic and phenotypic traits in livestock (27 papers), Genetic diversity and population structure (16 papers) and melanin and skin pigmentation (11 papers). M. C. T. Penedo collaborates with scholars based in United States, Switzerland and Japan. M. C. T. Penedo's co-authors include Walter M. Boyce, Holly B. Ernest, B. May, Michael Syvanen, Ming‐Wen Li, Ali Honaramooz, Stuart A. Meyers, Ina Dobrinski, James D. Murray and L. V. Millon and has published in prestigious journals such as Cell, Nature Genetics and PLoS ONE.

In The Last Decade

M. C. T. Penedo

87 papers receiving 2.5k 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. C. T. Penedo United States 28 1.2k 762 454 355 341 88 2.6k
Thomas R. Famula United States 35 1.7k 1.4× 653 0.9× 389 0.9× 476 1.3× 151 0.4× 158 4.1k
Leslie A. Lyons United States 40 3.3k 2.8× 2.6k 3.4× 825 1.8× 720 2.0× 429 1.3× 198 6.2k
O. Distl Germany 36 3.0k 2.5× 1.4k 1.9× 185 0.4× 251 0.7× 435 1.3× 519 6.2k
Melody E. Roelke United States 36 1.9k 1.6× 805 1.1× 1.3k 2.8× 409 1.2× 147 0.4× 62 5.0k
Terje Raudsepp United States 37 2.8k 2.3× 1.4k 1.9× 133 0.3× 181 0.5× 132 0.4× 155 4.0k
Tosso Leeb Switzerland 38 2.8k 2.3× 3.1k 4.0× 108 0.2× 215 0.6× 1.4k 4.2× 421 6.6k
Thomas B. Hildebrandt Germany 38 1.2k 1.0× 844 1.1× 985 2.2× 1.1k 3.0× 57 0.2× 198 4.2k
L. J. Royo Spain 29 2.1k 1.8× 1.7k 2.2× 188 0.4× 169 0.5× 397 1.2× 99 3.8k
F. W. Nicholas Australia 27 1.9k 1.6× 439 0.6× 175 0.4× 145 0.4× 74 0.2× 135 2.8k
Desmond W. Cooper Australia 31 1.2k 1.0× 676 0.9× 789 1.7× 223 0.6× 68 0.2× 98 3.1k

Countries citing papers authored by M. C. T. Penedo

Since Specialization
Citations

This map shows the geographic impact of M. C. T. Penedo'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. C. T. Penedo with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites M. C. T. Penedo more than expected).

Fields of papers citing papers by M. C. T. Penedo

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of M. C. T. Penedo

This figure shows the co-authorship network connecting the top 25 collaborators of M. C. T. Penedo. A scholar is included among the top collaborators of M. C. T. Penedo 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. C. T. Penedo. M. C. T. Penedo 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.
Jones, Lee, et al.. (2022). Genetic variation of the mitochondrial DNA control region across plains bison herds in USA and Canada. PLoS ONE. 17(3). e0264823–e0264823. 3 indexed citations
2.
Shetty, Gunapala, Jennifer Mitchell, Truong Lam, et al.. (2021). Postpubertal spermatogonial stem cell transplantation restores functional sperm production in rhesus monkeys irradiated before and after puberty. Andrology. 9(5). 1603–1616. 22 indexed citations
3.
Reiter, Simone Frizell, Barbara Wallner, Г. Брем, et al.. (2020). Distribution of the Warmblood Fragile Foal Syndrome Type 1 Mutation (PLOD1 c.2032G>A) in Different Horse Breeds from Europe and the United States. Genes. 11(12). 1518–1518. 12 indexed citations
4.
Wiseman, Roger W., Julie A. Karl, David Baker, et al.. (2020). Characterization of 100 extended major histocompatibility complex haplotypes in Indonesian cynomolgus macaques. Immunogenetics. 72(4). 225–239. 15 indexed citations
5.
Scott, E., Tamer Mansour, Rebecca R. Bellone, et al.. (2017). Identification of long non-coding RNA in the horse transcriptome. BMC Genomics. 18(1). 511–511. 16 indexed citations
6.
Scott, E., M. C. T. Penedo, James D. Murray, & Carrie J. Finno. (2016). Defining Trends in Global Gene Expression in Arabian Horses with Cerebellar Abiotrophy. The Cerebellum. 16(2). 462–472. 8 indexed citations
7.
Holl, Heather M., et al.. (2015). Variant in the RFWD3 gene associated with PATN1, a modifier of leopard complex spotting. Animal Genetics. 47(1). 91–101. 17 indexed citations
8.
Promerová, Marta, Leif Andersson, Leif Andersson, et al.. (2014). Worldwide frequency distribution of the ‘Gait keeper’ mutation in the DMRT3 gene. Animal Genetics. 45(2). 274–282. 75 indexed citations
9.
Penedo, M. C. T., et al.. (2011). The frequency of the equine cerebellar abiotrophy mutation in non‐Arabian horse breeds. Equine Veterinary Journal. 43(6). 727–731. 10 indexed citations
10.
Wagner, M.L., Stephanie J. Valberg, Elizabeth G. Ames, et al.. (2006). Allele Frequency and Likely Impact of the Glycogen Branching Enzyme Deficiency Gene in Quarter Horse and Paint Horse Populations. Journal of Veterinary Internal Medicine. 20(5). 1207–1211. 16 indexed citations
11.
Marcondes, Maria Cecília Garibaldi, M. C. T. Penedo, Caroline M. Lanigan, et al.. (2006). Simian Immunodeficiency Virus-Induced CD4 + T Cell Deficits in Cytokine Secretion Profile Are Dependent on Monkey Origin. Viral Immunology. 19(4). 679–689. 19 indexed citations
12.
Penedo, M. C. T., Ronald E. Bontrop, Corrine M. C. Heijmans, et al.. (2005). Microsatellite typing of the rhesus macaque MHC region. Immunogenetics. 57(3-4). 198–209. 81 indexed citations
13.
Eding, H., et al.. (2004). Contributions of Portuguese cattle breeds to genetic diversity using marker‐estimated kinships. Animal Genetics. 35(4). 305–313. 27 indexed citations
14.
Penedo, M. C. T., et al.. (2002). Linkage of the grey coat colour locus to microsatellites on horse chromosome 25. Animal Genetics. 33(5). 329–337. 59 indexed citations
15.
Marthas, Marta L., Lu Ding, M. C. T. Penedo, Andrew G. Hendrickx, & Christopher J. Miller. (2001). Titration of an SIVmac251 Stock by Vaginal Inoculation of Indian and Chinese Origin Rhesus Macaques: Transmission Efficiency, Viral Loads, and Antibody Responses. AIDS Research and Human Retroviruses. 17(15). 1455–1466. 76 indexed citations
16.
Ernest, Holly B., M. C. T. Penedo, B. May, Michael Syvanen, & Walter M. Boyce. (2000). Molecular tracking of mountain lions in the Yosemite Valley region in California: genetic analysis using microsatellites and faecal DNA. Molecular Ecology. 9(4). 433–441. 194 indexed citations
17.
Penedo, M. C. T., et al.. (1999). A HaeIII PCR‐RFLP in the ZFY/ZFX genes of horses. Animal Genetics. 30(5). 390–391. 15 indexed citations
18.
Kappes, S M, H. C. Hines, M. C. T. Penedo, & J. W. Keele. (1999). Linkage assignment of the last unmapped cattle erythrocyte antigen system, EAF. Animal Genetics. 30(5). 396–396. 1 indexed citations
20.
Zucoloto, Fernando Sérgio & M. C. T. Penedo. (1977). Physiological effects of mannose in Nannotrigona (Scaptotrigona) postica (Hymenoptera, apoidea, Meliponinae). 2(2). 129–129. 3 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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