Benjamin D. Rosen

10.4k total citations · 1 hit paper
66 papers, 2.4k citations indexed

About

Benjamin D. Rosen is a scholar working on Genetics, Molecular Biology and Plant Science. According to data from OpenAlex, Benjamin D. Rosen has authored 66 papers receiving a total of 2.4k indexed citations (citations by other indexed papers that have themselves been cited), including 43 papers in Genetics, 32 papers in Molecular Biology and 21 papers in Plant Science. Recurrent topics in Benjamin D. Rosen's work include Genetic and phenotypic traits in livestock (29 papers), Genomics and Phylogenetic Studies (20 papers) and Genetic Mapping and Diversity in Plants and Animals (12 papers). Benjamin D. Rosen is often cited by papers focused on Genetic and phenotypic traits in livestock (29 papers), Genomics and Phylogenetic Studies (20 papers) and Genetic Mapping and Diversity in Plants and Animals (12 papers). Benjamin D. Rosen collaborates with scholars based in United States, China and Austria. Benjamin D. Rosen's co-authors include Christopher D. Town, Derek M. Bickhart, Vivek Krishnakumar, Douglas R. Cook, Curtis P. Van Tassell, Haibao Tang, Michael A. Grusak, D. Janine Sherrier, S.L. Kitto and Jixian Zhai and has published in prestigious journals such as Nucleic Acids Research, Nature Communications and Genes & Development.

In The Last Decade

Benjamin D. Rosen

63 papers receiving 2.3k citations

Hit Papers

MicroRNAs as master regulators of the plant NB-LRR defens... 2011 2026 2016 2021 2011 100 200 300 400 500

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Benjamin D. Rosen United States 24 1.3k 987 794 222 182 66 2.4k
Ricardo H. Ramírez-González United Kingdom 21 1.8k 1.4× 840 0.9× 541 0.7× 55 0.2× 239 1.3× 33 2.4k
Chuang Li China 17 1.0k 0.8× 556 0.6× 427 0.5× 57 0.3× 307 1.7× 69 1.7k
Keith W. Savin Australia 22 657 0.5× 509 0.5× 937 1.2× 198 0.9× 271 1.5× 37 1.9k
Georg F. Weiller Australia 23 1.9k 1.4× 980 1.0× 188 0.2× 76 0.3× 212 1.2× 39 2.6k
Yong Hu China 26 1.5k 1.2× 813 0.8× 626 0.8× 39 0.2× 202 1.1× 55 2.3k
M. Ron Israel 31 1.1k 0.8× 767 0.8× 1.9k 2.4× 249 1.1× 566 3.1× 91 2.9k
Mario Cáccamo United Kingdom 16 423 0.3× 748 0.8× 308 0.4× 46 0.2× 87 0.5× 21 1.4k
Michael Florian Mette Germany 36 4.1k 3.1× 2.8k 2.8× 653 0.8× 177 0.8× 67 0.4× 56 4.9k
Alessandra Stella Italy 25 549 0.4× 457 0.5× 1.4k 1.8× 325 1.5× 399 2.2× 97 2.2k

Countries citing papers authored by Benjamin D. Rosen

Since Specialization
Citations

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

Fields of papers citing papers by Benjamin D. Rosen

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Benjamin D. Rosen

This figure shows the co-authorship network connecting the top 25 collaborators of Benjamin D. Rosen. A scholar is included among the top collaborators of Benjamin D. Rosen 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 Benjamin D. Rosen. Benjamin D. Rosen 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.
Azam, Sarwar, Curtis P. Van Tassell, Benjamin D. Rosen, et al.. (2025). Constructing a draft Indian cattle pangenome using short-read sequencing. Communications Biology. 8(1). 605–605.
2.
Ren, Yan, Tong Chen, L. Zhong, et al.. (2025). Insights into natural neocentromere evolution from a cattle T2T X chromosome. Nature Communications. 16(1). 10745–10745.
3.
Azam, Sarwar, Curtis P. Van Tassell, Benjamin D. Rosen, et al.. (2025). Advancing the Indian cattle pangenome: characterizing non-reference sequences in Bos indicus. Journal of Animal Science and Biotechnology. 16(1). 21–21. 1 indexed citations
4.
Azam, Sarwar, Aamir W. Khan, Curtis P. Van Tassell, et al.. (2025). Genome assemblies of Indian desi cattle reveal hotspots of rearrangements and immune-related genetic diversity. NAR Genomics and Bioinformatics. 7(4). lqaf153–lqaf153.
5.
Chang, Jennifer, et al.. (2023). polishCLR: A Nextflow Workflow for Polishing PacBio CLR Genome Assemblies. Genome Biology and Evolution. 15(3). 4 indexed citations
6.
Soudré, Albert, et al.. (2023). Morphometric Characterization of Local Goat Breeds in Two Agroecological Zones of Burkina Faso, West Africa. Animals. 13(12). 1931–1931. 8 indexed citations
8.
Burke, J.M., Ronald M Lewis, James E. Miller, et al.. (2022). Variants Within Genes EDIL3 and ADGRB3 are Associated With Divergent Fecal Egg Counts in Katahdin Sheep at Weaning. Frontiers in Genetics. 13. 817319–817319. 11 indexed citations
9.
Low, Wai Yee, Benjamin D. Rosen, Yan Ren, et al.. (2022). Gaur genome reveals expansion of sperm odorant receptors in domesticated cattle. BMC Genomics. 23(1). 344–344. 6 indexed citations
11.
Mészáros, Gábor, Timothy Gondwe, M. Jennifer Woodward-Greene, et al.. (2020). Tangible and intangible benefits of local goats rearing in smallholder farms in Malawi. Small Ruminant Research. 187. 106095–106095. 41 indexed citations
12.
Rice, Edward S., Sergey Koren, Arang Rhie, et al.. (2020). Continuous chromosome-scale haplotypes assembled from a single interspecies F1 hybrid of yak and cattle. GigaScience. 9(4). 40 indexed citations
13.
Zhou, Yang, Shuli Liu, Yan Hu, et al.. (2020). Comparative whole genome DNA methylation profiling across cattle tissues reveals global and tissue-specific methylation patterns. BMC Biology. 18(1). 85–85. 38 indexed citations
14.
Low, Wai Yee, Rick Tearle, Derek M. Bickhart, et al.. (2019). Chromosome-level assembly of the water buffalo genome surpasses human and goat genomes in sequence contiguity. Nature Communications. 10(1). 260–260. 98 indexed citations
15.
Reynoso, Mauricio, Karen Hobecker, Maureen Hummel, et al.. (2019). Reprogramming of Root Cells during Nitrogen-Fixing Symbiosis Involves Dynamic Polysome Association of Coding and Noncoding RNAs. The Plant Cell. 32(2). 352–373. 30 indexed citations
16.
Liu, Shuli, Xiaolong Kang, Claudia Rita Catacchio, et al.. (2019). Computational detection and experimental validation of segmental duplications and associated copy number variations in water buffalo ( Bubalus bubalis ). Functional & Integrative Genomics. 19(3). 409–419. 10 indexed citations
17.
Miller, Jason, Sergey Koren, Kari A. Dilley, et al.. (2018). Analysis of the Aedes albopictus C6/36 genome provides insight into cell line utility for viral propagation. GigaScience. 7(3). 1–13. 47 indexed citations
18.
Nandolo, Wilson, Timothy Gondwe, Gábor Mészáros, et al.. (2018). Distribution of copy number variants in the genomes of East African goat breeds. Proceedings of the World Congress on Genetics Applied to Livestock Production. 470. 2 indexed citations
19.
Rosen, Benjamin D., Derek M. Bickhart, Robert D. Schnabel, et al.. (2018). Modernizing the Bovine Reference Genome Assembly. Proceedings of the World Congress on Genetics Applied to Livestock Production. 802. 14 indexed citations
20.
Krishnakumar, Vivek, Matthew Hanlon, Sergio Contrino, et al.. (2014). Araport: the Arabidopsis Information Portal. Nucleic Acids Research. 43(D1). D1003–D1009. 151 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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