Noushin Ghaffari

1.3k total citations
29 papers, 527 citations indexed

About

Noushin Ghaffari is a scholar working on Molecular Biology, Plant Science and Genetics. According to data from OpenAlex, Noushin Ghaffari has authored 29 papers receiving a total of 527 indexed citations (citations by other indexed papers that have themselves been cited), including 24 papers in Molecular Biology, 7 papers in Plant Science and 4 papers in Genetics. Recurrent topics in Noushin Ghaffari's work include Genomics and Phylogenetic Studies (9 papers), Gene Regulatory Network Analysis (6 papers) and Bioinformatics and Genomic Networks (5 papers). Noushin Ghaffari is often cited by papers focused on Genomics and Phylogenetic Studies (9 papers), Gene Regulatory Network Analysis (6 papers) and Bioinformatics and Genomic Networks (5 papers). Noushin Ghaffari collaborates with scholars based in United States, Qatar and Mexico. Noushin Ghaffari's co-authors include Charles D. Johnson, Edward R. Dougherty, Ivan Ivanov, Xiaoning Qian, J. E. Sawyer, Ryan N. Doan, Hui Wang, Ulisses Braga-Neto, Huaijun Zhou and Scott V. Dindot and has published in prestigious journals such as Genes & Development, SHILAP Revista de lepidopterología and Bioinformatics.

In The Last Decade

Noushin Ghaffari

27 papers receiving 521 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Noushin Ghaffari United States 12 286 103 75 71 61 29 527
D. Nonneman United States 11 176 0.6× 305 3.0× 29 0.4× 56 0.8× 42 0.7× 24 489
Xuemei Deng China 17 289 1.0× 342 3.3× 20 0.3× 67 0.9× 65 1.1× 64 833
Mehul Vora United States 10 275 1.0× 36 0.3× 42 0.6× 33 0.5× 129 2.1× 17 578
Kui Li China 13 320 1.1× 250 2.4× 29 0.4× 201 2.8× 37 0.6× 30 678
Priya Sivaramakrishnan United States 9 694 2.4× 195 1.9× 62 0.8× 49 0.7× 49 0.8× 15 941
Yukio Taniguchi Japan 11 148 0.5× 205 2.0× 39 0.5× 46 0.6× 25 0.4× 40 389
Tamal Raha India 13 522 1.8× 73 0.7× 98 1.3× 47 0.7× 65 1.1× 17 880
Zhangfei Shen United States 13 262 0.9× 47 0.5× 12 0.2× 19 0.3× 46 0.8× 25 439
Bih-Ying Yang Taiwan 8 90 0.3× 91 0.9× 17 0.2× 94 1.3× 32 0.5× 8 361
Chenxi Zhao China 12 361 1.3× 122 1.2× 29 0.4× 380 5.4× 35 0.6× 41 690

Countries citing papers authored by Noushin Ghaffari

Since Specialization
Citations

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

Fields of papers citing papers by Noushin Ghaffari

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Noushin Ghaffari

This figure shows the co-authorship network connecting the top 25 collaborators of Noushin Ghaffari. A scholar is included among the top collaborators of Noushin Ghaffari 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 Noushin Ghaffari. Noushin Ghaffari 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.
2.
Mageeney, Catherine M., et al.. (2024). Speeding genomic island discovery through systematic design of reference database composition. PLoS ONE. 19(3). e0298641–e0298641. 1 indexed citations
3.
Ing, Nancy H., Kranti Konganti, Noushin Ghaffari, et al.. (2024). Specific microRNAs in stallion spermatozoa are potential biomarkers of high functionality. Reproduction in Domestic Animals. 59(7). e14674–e14674. 1 indexed citations
4.
Riley, David G., Noushin Ghaffari, Charles R. Long, et al.. (2023). Differential Expression of Circadian Clock Genes in the Bovine Neuroendocrine Adrenal System. Genes. 14(11). 2082–2082. 2 indexed citations
5.
Cardoso, Rodolfo C., Noushin Ghaffari, Charles R. Long, et al.. (2023). Inter-Individual Variation in DNA Methylation Patterns across Two Tissues and Leukocytes in Mature Brahman Cattle. Biology. 12(2). 252–252. 2 indexed citations
6.
Cardoso, Rodolfo C., Noushin Ghaffari, Charles R. Long, et al.. (2022). DNA methylation patterns and gene expression from amygdala tissue of mature Brahman cows exposed to prenatal stress. Frontiers in Genetics. 13. 949309–949309.
7.
Guerrero, Felix D., Noushin Ghaffari, Kylie G. Bendele, et al.. (2021). Raw pacific biosciences and illumina sequencing reads and assembled genome data for the cattle ticks Rhipicephalus microplus and Rhipicephalus annulatus. SHILAP Revista de lepidopterología. 35. 106852–106852. 9 indexed citations
8.
Ing, Nancy H., Kranti Konganti, Noushin Ghaffari, et al.. (2020). Identification and quantification of coding and long non‐coding RNAs in stallion spermatozoa separated by density. Andrology. 8(5). 1409–1418. 5 indexed citations
9.
Guerrero, Felix D., Kylie G. Bendele, Noushin Ghaffari, et al.. (2019). The Pacific Biosciences de novo assembled genome dataset from a parthenogenetic New Zealand wild population of the longhorned tick, Haemaphysalis longicornis Neumann, 1901. SHILAP Revista de lepidopterología. 27. 104602–104602. 14 indexed citations
10.
Ing, Nancy H., Kranti Konganti, Noushin Ghaffari, et al.. (2018). Functional RNAs in Stallion Sperm: Potential Indicators of Sperm Quality and Contributors to Fertility. Journal of Equine Veterinary Science. 66. 31–31. 1 indexed citations
11.
Chen, Chun‐Chi, Noushin Ghaffari, Xiaoning Qian, & Byung-Jun Yoon. (2017). Optimal hybrid sequencing and assembly: Feasibility conditions for accurate genome reconstruction and cost minimization strategy. Computational Biology and Chemistry. 69. 153–163. 1 indexed citations
12.
Abante, Jordi, Noushin Ghaffari, Charles D. Johnson, & Aniruddha Datta. (2017). HiMMe: using genetic patterns as a proxy for genome assembly reliability assessment. BMC Genomics. 18(1). 694–694. 2 indexed citations
13.
Ghaffari, Noushin, Osama A. Arshad, Michael F. Criscitiello, et al.. (2015). Examining De Novo Transcriptome Assemblies via a Quality Assessment Pipeline. IEEE/ACM Transactions on Computational Biology and Bioinformatics. 15(2). 494–505. 3 indexed citations
14.
Doan, Ryan N., Noah D. Cohen, J. E. Sawyer, et al.. (2012). Whole-Genome sequencing and genetic variant analysis of a quarter Horse mare. BMC Genomics. 13(1). 78–78. 51 indexed citations
15.
Ghaffari, Noushin, Ivan Ivanov, Xiaoning Qian, & Edward R. Dougherty. (2011). A CoD-based stationary control policy for intervening in large gene regulatory networks. BMC Bioinformatics. 12(S10). S10–S10. 3 indexed citations
16.
Ghaffari, Noushin, Ivan Ivanov, Xiaoning Qian, & Edward R. Dougherty. (2010). A CoD-based reduction algorithm for designing stationary control policies on Boolean networks. Bioinformatics. 26(12). 1556–1563. 20 indexed citations
17.
Qian, Xiaoning, Noushin Ghaffari, Ivan Ivanov, & Edward R. Dougherty. (2010). State reduction for network intervention in probabilistic Boolean networks. Bioinformatics. 26(24). 3098–3104. 24 indexed citations
18.
Qian, Xiaoning, Ivan Ivanov, Noushin Ghaffari, & Edward R. Dougherty. (2009). Intervention in gene regulatory networks via greedy control policies based on long-run behavior. BMC Systems Biology. 3(1). 61–61. 28 indexed citations
19.
Ghaffari, Noushin & Hisham Al-Mubaid. (2006). A New Gene Selection Technique Using Feature Selection Methodology.. Computers and Their Applications. 217–222. 3 indexed citations
20.
Al-Mubaid, Hisham & Noushin Ghaffari. (2006). Identifying the most significant genes from gene expression profiles for sample classification. 62. 655–658. 6 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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