Benjamin Yu

3.6k total citations · 1 hit paper
27 papers, 2.6k citations indexed

About

Benjamin Yu is a scholar working on Molecular Biology, Immunology and Dermatology. According to data from OpenAlex, Benjamin Yu has authored 27 papers receiving a total of 2.6k indexed citations (citations by other indexed papers that have themselves been cited), including 18 papers in Molecular Biology, 5 papers in Immunology and 4 papers in Dermatology. Recurrent topics in Benjamin Yu's work include Hair Growth and Disorders (4 papers), Epigenetics and DNA Methylation (4 papers) and Pluripotent Stem Cells Research (3 papers). Benjamin Yu is often cited by papers focused on Hair Growth and Disorders (4 papers), Epigenetics and DNA Methylation (4 papers) and Pluripotent Stem Cells Research (3 papers). Benjamin Yu collaborates with scholars based in United States, Netherlands and France. Benjamin Yu's co-authors include Jay L. Hess, Stanley J. Korsmeyer, Gary Brown, Robin Hanson, Bin Li, Jamie J. Bernard, Andrew W. Borkowski, Richard L. Gallo, Gail R. Martin and Jun Muto and has published in prestigious journals such as Nature, Proceedings of the National Academy of Sciences and Nature Medicine.

In The Last Decade

Benjamin Yu

26 papers receiving 2.6k citations

Hit Papers

Altered Hox expression and segmental identity in Mll-muta... 1995 2026 2005 2015 1995 200 400 600

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Benjamin Yu United States 17 2.0k 576 328 305 178 27 2.6k
Shanna D. Maika United States 13 1.1k 0.5× 296 0.5× 672 2.0× 544 1.8× 108 0.6× 17 2.4k
Wojtek Auerbach United States 19 2.0k 1.0× 122 0.2× 334 1.0× 520 1.7× 204 1.1× 31 3.0k
D. Hewett Australia 23 915 0.4× 572 1.0× 644 2.0× 696 2.3× 131 0.7× 41 2.5k
Ruth Padmore Canada 16 1.6k 0.8× 183 0.3× 129 0.4× 218 0.7× 359 2.0× 45 2.3k
Keiki Kumano Japan 34 2.3k 1.1× 832 1.4× 926 2.8× 273 0.9× 544 3.1× 70 3.8k
I-hsin Su Singapore 21 2.4k 1.2× 186 0.3× 1.1k 3.4× 462 1.5× 116 0.7× 30 3.6k
Hayley S. Ramshaw Australia 28 1.1k 0.5× 950 1.6× 1.1k 3.4× 314 1.0× 163 0.9× 54 2.8k
Pino J. Poddighe Netherlands 25 1.0k 0.5× 409 0.7× 185 0.6× 623 2.0× 69 0.4× 58 2.1k
Akinori Kanai Japan 25 1.2k 0.6× 458 0.8× 281 0.9× 158 0.5× 49 0.3× 82 1.9k
Richard Pannell United Kingdom 30 2.1k 1.0× 682 1.2× 2.5k 7.8× 393 1.3× 229 1.3× 41 4.9k

Countries citing papers authored by Benjamin Yu

Since Specialization
Citations

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

Fields of papers citing papers by Benjamin Yu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Benjamin Yu

This figure shows the co-authorship network connecting the top 25 collaborators of Benjamin Yu. A scholar is included among the top collaborators of Benjamin Yu 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 Yu. Benjamin Yu 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.
Hinojosa-González, David E., et al.. (2025). Frailty index and nutrition status impact perioperative outcomes in patients undergoing minimally invasive radical nephrectomy. Journal of Robotic Surgery. 19(1). 147–147.
2.
Yu, Benjamin, Yunfeng Li, George Korza, et al.. (2023). Identification and characterization of new proteins crucial for bacterial spore resistance and germination. Frontiers in Microbiology. 14. 1161604–1161604. 21 indexed citations
3.
Krishnaswami, Suguna Rani, Shantanu Kumar, Phillip Ordoukhanian, & Benjamin Yu. (2014). Fate and Plasticity of the Epidermis in Response to Congenital Activation of BRAF. Journal of Investigative Dermatology. 135(2). 481–489. 1 indexed citations
4.
Borkowski, Andrew W., I‐Hsin Kuo, Jamie J. Bernard, et al.. (2014). Toll-Like Receptor 3 Activation Is Required for Normal Skin Barrier Repair Following UV Damage. Journal of Investigative Dermatology. 135(2). 569–578. 51 indexed citations
6.
7.
Yoshioka, Naohisa, Edwige Gros, Hairi Li, et al.. (2013). Efficient Generation of Human iPSCs by a Synthetic Self-Replicative RNA. Cell stem cell. 13(2). 246–254. 236 indexed citations
8.
Hamilton, Bruce A. & Benjamin Yu. (2012). Modifier Genes and the Plasticity of Genetic Networks in Mice. PLoS Genetics. 8(4). e1002644–e1002644. 60 indexed citations
9.
Mukhopadhyay, Anandaroop, et al.. (2012). Negative regulation of Shh levels by Kras and Fgfr2 during hair follicle development. Developmental Biology. 373(2). 373–382. 31 indexed citations
10.
Mukhopadhyay, Anandaroop, et al.. (2011). The Post-Apoptotic Fate of RNAs Identified Through High-Throughput Sequencing of Human Hair. PLoS ONE. 6(11). e27603–e27603. 11 indexed citations
11.
Syed, Mubin I., et al.. (2011). Renal Vein Stenting via the Right Internal Jugular Approach With a Provocative Valsalva Maneuver to Reduce the Risk of Stent Migration. Perspectives in Vascular Surgery. 23(4). 268–271. 8 indexed citations
12.
Du, Fei, Yoshikazu Nakamura, Pedro Lee, et al.. (2010). Expression of Snail in Epidermal Keratinocytes Promotes Cutaneous Inflammation and Hyperplasia Conducive to Tumor Formation. Cancer Research. 70(24). 10080–10089. 45 indexed citations
13.
Mukhopadhyay, Anandaroop, Suguna Rani Krishnaswami, & Benjamin Yu. (2010). Activated Kras Alters Epidermal Homeostasis of Mouse Skin, Resulting in Redundant Skin and Defective Hair Cycling. Journal of Investigative Dermatology. 131(2). 311–319. 20 indexed citations
14.
Yu, Benjamin, et al.. (2008). Skin and hair: models for exploring organ regeneration. Human Molecular Genetics. 17(R1). R54–R59. 31 indexed citations
15.
Klein, Ophir D., George Minowada, Renata Peterková, et al.. (2006). Sprouty Genes Control Diastema Tooth Development via Bidirectional Antagonism of Epithelial-Mesenchymal FGF Signaling. Developmental Cell. 11(2). 181–190. 238 indexed citations
16.
McCormick, James A., Yuxi Feng, Kevin Dawson, et al.. (2004). Targeted Disruption of the Protein Kinase SGK3/CISK Impairs Postnatal Hair Follicle Development. Molecular Biology of the Cell. 15(9). 4278–4288. 61 indexed citations
17.
Yu, Benjamin, Michelle Becker‐Hapak, Eric L. Snyder, et al.. (2003). Distinct and nonoverlapping roles for pRB and cyclin D:cyclin-dependent kinases 4/6 activity in melanocyte survival. Proceedings of the National Academy of Sciences. 100(25). 14881–14886. 31 indexed citations
18.
Yu, Benjamin, et al.. (1998). MLL, a mammalian trithorax- group gene, functions as a transcriptional maintenance factor in morphogenesis. Proceedings of the National Academy of Sciences. 95(18). 10632–10636. 252 indexed citations
19.
Hess, Jay L., et al.. (1997). Defects in Yolk Sac Hematopoiesis in Mll-Null Embryos. Blood. 90(5). 1799–1806. 208 indexed citations
20.
Yu, Benjamin, et al.. (1995). Altered Hox expression and segmental identity in Mll-mutant mice. Nature. 378(6556). 505–508. 703 indexed citations breakdown →

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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