D. C. Ciobanu

2.6k total citations
55 papers, 1.8k citations indexed

About

D. C. Ciobanu is a scholar working on Genetics, Animal Science and Zoology and Molecular Biology. According to data from OpenAlex, D. C. Ciobanu has authored 55 papers receiving a total of 1.8k indexed citations (citations by other indexed papers that have themselves been cited), including 32 papers in Genetics, 22 papers in Animal Science and Zoology and 15 papers in Molecular Biology. Recurrent topics in D. C. Ciobanu's work include Genetic Mapping and Diversity in Plants and Animals (14 papers), Genetic and phenotypic traits in livestock (14 papers) and Animal Virus Infections Studies (10 papers). D. C. Ciobanu is often cited by papers focused on Genetic Mapping and Diversity in Plants and Animals (14 papers), Genetic and phenotypic traits in livestock (14 papers) and Animal Virus Infections Studies (10 papers). D. C. Ciobanu collaborates with scholars based in United States, Canada and China. D. C. Ciobanu's co-authors include J.W.M. Bastiaansen, Graham Plastow, Steven M. Lonergan, Robert W. Williams, Stephen D. Kachman, A. Sosnicki, M. F. Rothschild, E. Huff‐Lonergan, Shai Barbut and Max F. Rothschild and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Journal of Neuroscience and PLoS ONE.

In The Last Decade

D. C. Ciobanu

49 papers receiving 1.7k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
D. C. Ciobanu United States 19 651 647 577 182 155 55 1.8k
Vishwajit S. Chowdhury Japan 28 825 1.3× 423 0.7× 369 0.6× 78 0.4× 247 1.6× 117 2.6k
Tom E. Porter United States 32 972 1.5× 895 1.4× 775 1.3× 57 0.3× 192 1.2× 126 3.0k
J. L. Sartin United States 27 455 0.7× 307 0.5× 347 0.6× 108 0.6× 135 0.9× 109 2.2k
Bruce R. Southey United States 29 266 0.4× 1.1k 1.7× 715 1.2× 73 0.4× 569 3.7× 104 2.7k
Wenming Zhao China 28 205 0.3× 580 0.9× 1.1k 1.9× 139 0.8× 49 0.3× 158 2.7k
I. Rozenboim Israel 32 1.9k 3.0× 581 0.9× 665 1.2× 103 0.6× 218 1.4× 99 3.3k
Lloyd L. Anderson United States 28 504 0.8× 1.0k 1.6× 379 0.7× 191 1.0× 107 0.7× 144 3.3k
E. Seren Italy 28 349 0.5× 828 1.3× 758 1.3× 42 0.2× 52 0.3× 59 2.5k
Masaoki Tsudzuki Japan 27 893 1.4× 1.0k 1.6× 705 1.2× 132 0.7× 89 0.6× 140 2.2k
Terry M. Nett United States 46 405 0.6× 1.8k 2.8× 771 1.3× 94 0.5× 184 1.2× 164 5.5k

Countries citing papers authored by D. C. Ciobanu

Since Specialization
Citations

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

Fields of papers citing papers by D. C. Ciobanu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by D. C. Ciobanu. 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 D. C. Ciobanu. The network helps show where D. C. Ciobanu may publish in the future.

Co-authorship network of co-authors of D. C. Ciobanu

This figure shows the co-authorship network connecting the top 25 collaborators of D. C. Ciobanu. A scholar is included among the top collaborators of D. C. Ciobanu 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 D. C. Ciobanu. D. C. Ciobanu 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.
Ciobanu, D. C., Valeria Tomati, Deján Dobi, et al.. (2024). WS14.02 Tezacaftor is a direct inhibitor of sphingolipid delta-4 desaturase enzyme (DEGS). Journal of Cystic Fibrosis. 23. S26–S26.
3.
Sanglard, Leticia P., et al.. (2022). DNA methylation profile in beef cattle is influenced by additive genetics and age. Scientific Reports. 12(1). 12016–12016. 11 indexed citations
5.
Pérez-Muñoz, María Elisa, Autumn McKnite, Evan G. Williams, et al.. (2019). Diet modulates cecum bacterial diversity and physiological phenotypes across the BXD mouse genetic reference population. PLoS ONE. 14(10). e0224100–e0224100. 6 indexed citations
6.
Vu, Hiep L. X., Dan Nonneman, Timothy P. L. Smith, et al.. (2018). Synaptogyrin-2 influences replication of Porcine circovirus 2. PLoS Genetics. 14(10). e1007750–e1007750. 25 indexed citations
7.
Lents, Clay A, Jennifer F. Thorson, Brittney N. Keel, et al.. (2017). Using genomic approaches to uncover sources of variation in age at puberty and reproductive longevity in sows.. Journal of Animal Science. 95(9). 4196–4205.
8.
Kachman, Stephen D., et al.. (2017). A 16.7 kb deletion in Sipa1l3 is associated with juvenile cataract in mice. Mammalian Genome. 28(11-12). 515–519. 1 indexed citations
9.
Howard, Jeremy, Stephen D. Kachman, W. M. Snelling, et al.. (2013). Beef cattle body temperature during climatic stress: a genome-wide association study. International Journal of Biometeorology. 58(7). 1665–1672. 62 indexed citations
10.
McKnite, Autumn, María Elisa Pérez-Muñoz, Lu Lu, et al.. (2012). Murine Gut Microbiota Is Defined by Host Genetics and Modulates Variation of Metabolic Traits. PLoS ONE. 7(6). e39191–e39191. 171 indexed citations
11.
Mozhui, Khyobeni, Thomas L. Kash, Jessica Ihne, et al.. (2010). Strain Differences in Stress Responsivity Are Associated with Divergent Amygdala Gene Expression and Glutamate-Mediated Neuronal Excitability. Journal of Neuroscience. 30(15). 5357–5367. 188 indexed citations
12.
Ciobanu, D. C., J.W.M. Bastiaansen, José Luis Rocha, et al.. (2009). A major SNP resource for dissection of phenotypic and genetic variation in Pacific white shrimp (Litopenaeus vannamei). Animal Genetics. 41(1). 39–47. 37 indexed citations
13.
Mozhui, Khyobeni, D. C. Ciobanu, Thomas Schikorski, et al.. (2008). Dissection of a QTL Hotspot on Mouse Distal Chromosome 1 that Modulates Neurobehavioral Phenotypes and Gene Expression. PLoS Genetics. 4(11). e1000260–e1000260. 74 indexed citations
14.
Guimarães, Simone Eliza Facioni, M. F. Rothschild, D. C. Ciobanu, Chad H. Stahl, & Steven M. Lonergan. (2007). SNP discovery, expression and association analysis for the SDHD gene in pigs. Journal of Animal Breeding and Genetics. 124(3). 139–143. 1 indexed citations
15.
Schmutz, S. M., et al.. (2004). A form of albinism in cattle is caused by a tyrosinase frameshift mutation. Mammalian Genome. 15(1). 62–67. 73 indexed citations
16.
Ciobanu, D. C., Steven M. Lonergan, Massoud Malek, et al.. (2003). New Alleles in the Calpastatin Gene Associated with Improved Tenderness in Pork. Iowa State University Digital Repository (Iowa State University). 1(1). 1 indexed citations
17.
Ciobanu, D. C., et al.. (2002). Rapid communication: mapping of the beta Tropomyosin (TPM2) gene to pig chromosome 1. Journal of Animal Science. 80(5). 1379–1380. 2 indexed citations
18.
Ciobanu, D. C., et al.. (2001). Mapping and Investigation of Two Novel Candidate Genes for Growth and Meat Quality traits in the Pig. Iowa State University Digital Repository (Iowa State University). 1 indexed citations
19.
Ciobanu, D. C., et al.. (2001). Genetic variation in two conserved local Romanian pig breeds using type 1 DNA markers. Genetics Selection Evolution. 33(4). 417–32. 28 indexed citations
20.
Ciobanu, D. C., Ranjit Kaur Gill, M. F. Rothschild, & Norman H. Bell. (2000). Rapid communication: Porcine vitamin D-25-hydroxylase maps to chromosome 5.. Journal of Animal Science. 78(12). 3193–3193. 1 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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