Jeff Yuenger

1.4k total citations
9 papers, 228 citations indexed

About

Jeff Yuenger is a scholar working on Molecular Biology, Cancer Research and Genetics. According to data from OpenAlex, Jeff Yuenger has authored 9 papers receiving a total of 228 indexed citations (citations by other indexed papers that have themselves been cited), including 3 papers in Molecular Biology, 3 papers in Cancer Research and 2 papers in Genetics. Recurrent topics in Jeff Yuenger's work include RNA modifications and cancer (2 papers), Carcinogens and Genotoxicity Assessment (2 papers) and Air Quality and Health Impacts (1 paper). Jeff Yuenger is often cited by papers focused on RNA modifications and cancer (2 papers), Carcinogens and Genotoxicity Assessment (2 papers) and Air Quality and Health Impacts (1 paper). Jeff Yuenger collaborates with scholars based in United States, China and Netherlands. Jeff Yuenger's co-authors include Stephen J. Chanock, Meredith Yeager, Minxue Shen, Qing Lan, H. Dean Hosgood, Roel Vermeulen, Preetha Rajaraman, Xingzhou He, Idan Menashe and Yong Zhu and has published in prestigious journals such as Carcinogenesis, Occupational and Environmental Medicine and Cancer Epidemiology Biomarkers & Prevention.

In The Last Decade

Jeff Yuenger

9 papers receiving 226 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Jeff Yuenger United States 7 113 75 45 32 30 9 228
Yuxia Zhao China 12 193 1.7× 126 1.7× 79 1.8× 24 0.8× 20 0.7× 26 313
Ouping Huang China 11 154 1.4× 72 1.0× 34 0.8× 64 2.0× 39 1.3× 26 317
Xuyou Zhu China 10 93 0.8× 43 0.6× 110 2.4× 42 1.3× 63 2.1× 34 314
Massimo Magnanti Italy 8 84 0.7× 48 0.6× 46 1.0× 16 0.5× 12 0.4× 14 243
C. G. Wood United States 6 246 2.2× 103 1.4× 38 0.8× 27 0.8× 11 0.4× 10 349
Karl-Heinz Jöckel Germany 4 74 0.7× 39 0.5× 60 1.3× 16 0.5× 34 1.1× 5 207
Y-W Cheng Taiwan 7 274 2.4× 117 1.6× 102 2.3× 25 0.8× 33 1.1× 7 355
Dingjie Xu China 13 140 1.2× 53 0.7× 37 0.8× 60 1.9× 21 0.7× 24 404
Célia Dupain France 7 99 0.9× 53 0.7× 91 2.0× 23 0.7× 19 0.6× 16 209
Laura Burdett United States 9 186 1.6× 75 1.0× 50 1.1× 23 0.7× 35 1.2× 16 330

Countries citing papers authored by Jeff Yuenger

Since Specialization
Citations

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

Fields of papers citing papers by Jeff Yuenger

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Jeff Yuenger

This figure shows the co-authorship network connecting the top 25 collaborators of Jeff Yuenger. A scholar is included among the top collaborators of Jeff Yuenger 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 Jeff Yuenger. Jeff Yuenger is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

9 of 9 papers shown
1.
Hyland, Paula L., Neal D. Freedman, Nan Hu, et al.. (2013). Genetic variants in sex hormone metabolic pathway genes and risk of esophageal squamous cell carcinoma. Carcinogenesis. 34(5). 1062–1068. 34 indexed citations
2.
Shen, Minxue, Tongzhang Zheng, Qing Lan, et al.. (2011). Polymorphisms in integrin genes and lymphoma risk. Leukemia Research. 35(7). 968–970. 5 indexed citations
3.
Yang, Xiaohong R., Lea Jessop, Timothy A. Myers, et al.. (2011). Lack of germline PALB2 mutations in melanoma-prone families with CDKN2A mutations and pancreatic cancer. Familial Cancer. 10(3). 545–548. 4 indexed citations
4.
Lan, Qing, Wing‐Yan Au, Stephen J. Chanock, et al.. (2010). Genetic susceptibility for chronic lymphocytic leukemia among Chinese in Hong Kong. European Journal Of Haematology. 85(6). 492–495. 29 indexed citations
5.
Hosgood, H. Dean, Minxue Shen, Sonja I. Berndt, et al.. (2009). Association between genetic variants inVEGF,ERCC3and occupational benzene haematotoxicity. Occupational and Environmental Medicine. 66(12). 848–853. 17 indexed citations
6.
Shen, Minxue, Roel Vermeulen, Preetha Rajaraman, et al.. (2009). Polymorphisms in innate immunity genes and lung cancer risk in Xuanwei, China. Environmental and Molecular Mutagenesis. 50(4). 285–290. 20 indexed citations
7.
Hosgood, H. Dean, Idan Menashe, Minxue Shen, et al.. (2008). Pathway-based evaluation of 380 candidate genes and lung cancer susceptibility suggests the importance of the cell cycle pathway. Carcinogenesis. 29(10). 1938–1943. 49 indexed citations
8.
Lan, Qing, Luoping Zhang, Minxue Shen, et al.. (2008). Large-scale evaluation of candidate genes identifies associations between DNA repair and genomic maintenance and development of benzene hematotoxicity. Carcinogenesis. 30(1). 50–58. 45 indexed citations
9.
Bhatti, Parveen, Michele M. Doody, Bruce H. Alexander, et al.. (2008). Breast Cancer Risk Polymorphisms and Interaction with Ionizing Radiation among U.S. Radiologic Technologists. Cancer Epidemiology Biomarkers & Prevention. 17(8). 2007–2011. 25 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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