Nam Che

3.8k total citations · 1 hit paper
19 papers, 2.4k citations indexed

About

Nam Che is a scholar working on Molecular Biology, Epidemiology and Genetics. According to data from OpenAlex, Nam Che has authored 19 papers receiving a total of 2.4k indexed citations (citations by other indexed papers that have themselves been cited), including 16 papers in Molecular Biology, 7 papers in Epidemiology and 5 papers in Genetics. Recurrent topics in Nam Che's work include Liver Disease Diagnosis and Treatment (5 papers), Adipose Tissue and Metabolism (3 papers) and Peroxisome Proliferator-Activated Receptors (3 papers). Nam Che is often cited by papers focused on Liver Disease Diagnosis and Treatment (5 papers), Adipose Tissue and Metabolism (3 papers) and Peroxisome Proliferator-Activated Receptors (3 papers). Nam Che collaborates with scholars based in United States, Germany and Sweden. Nam Che's co-authors include Aldons J. Lusis, Eric E. Schadt, Thomas A. Drake, Stephen Friend, Guy Cavet, Stephanie A. Monks, John R. Lamb, Stephen B. Milligan, Thomas G. Ruff and Mao Mao and has published in prestigious journals such as Nature, Cell and Proceedings of the National Academy of Sciences.

In The Last Decade

Nam Che

18 papers receiving 2.3k citations

Hit Papers

Genetics of gene expression surveyed in maize, mouse and man 2003 2026 2010 2018 2003 250 500 750 1000

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Nam Che United States 16 1.5k 918 314 261 211 19 2.4k
Philippe Rouet France 24 2.3k 1.5× 560 0.6× 295 0.9× 226 0.9× 198 0.9× 56 3.0k
Cliona Molony United States 17 1.3k 0.8× 863 0.9× 223 0.7× 85 0.3× 235 1.1× 28 2.2k
Kyoungmi Kim South Korea 26 2.7k 1.8× 725 0.8× 106 0.3× 229 0.9× 219 1.0× 77 3.2k
Li Xu China 28 1.5k 1.0× 315 0.3× 461 1.5× 145 0.6× 307 1.5× 87 2.3k
Sherry F. Grissom United States 21 1.6k 1.0× 465 0.5× 219 0.7× 112 0.4× 449 2.1× 26 2.6k
João Fadista Sweden 19 916 0.6× 766 0.8× 197 0.6× 227 0.9× 172 0.8× 28 1.7k
Mitchell Martin United States 13 1.2k 0.8× 575 0.6× 248 0.8× 94 0.4× 95 0.5× 19 1.9k
Ana Cuadrado Spain 25 2.8k 1.8× 255 0.3× 272 0.9× 255 1.0× 156 0.7× 40 3.9k
Amnon Harel Israel 25 2.9k 1.9× 301 0.3× 103 0.3× 195 0.7× 191 0.9× 47 3.7k
Virginie Garcia France 28 1.4k 0.9× 202 0.2× 361 1.1× 254 1.0× 266 1.3× 60 2.3k

Countries citing papers authored by Nam Che

Since Specialization
Citations

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

Fields of papers citing papers by Nam Che

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Nam Che

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

All Works

19 of 19 papers shown
2.
Scheidt, Moritz von, Yuqi Zhao, Thomas Q. de Aguiar Vallim, et al.. (2021). Transcription Factor MAFF (MAF Basic Leucine Zipper Transcription Factor F) Regulates an Atherosclerosis Relevant Network Connecting Inflammation and Cholesterol Metabolism. Circulation. 143(18). 1809–1823. 38 indexed citations
3.
Krishnan, Karthickeyan Chella, Zeyneb Kurt, Aditi Das, et al.. (2018). Integration of Multi-omics Data from Mouse Diversity Panel Highlights Mitochondrial Dysfunction in Non-alcoholic Fatty Liver Disease. Cell Systems. 6(1). 103–115.e7. 106 indexed citations
4.
Krishnan, Karthickeyan Chella, Zeyneb Kurt, Aditi Das, et al.. (2018). Integration of Multi-omics Data from Mouse Diversity Panel Highlights Mitochondrial Dysfunction in Non-Alcoholic Fatty Liver Disease. SSRN Electronic Journal. 6 indexed citations
5.
Hui, Simon T., Brian W. Parks, Elin Org, et al.. (2015). The genetic architecture of NAFLD among inbred strains of mice. eLife. 4. e05607–e05607. 79 indexed citations
6.
Shih, Diana M., Zeneng Wang, Richard Lee, et al.. (2014). Flavin containing monooxygenase 3 exerts broad effects on glucose and lipid metabolism and atherosclerosis. Journal of Lipid Research. 56(1). 22–37. 269 indexed citations
7.
Ghazalpour, Anatole, Brian J. Bennett, Diana M. Shih, et al.. (2014). Genetic regulation of mouse liver metabolite levels. Molecular Systems Biology. 10(5). 730–730. 44 indexed citations
8.
Romay, Milagros C., Nam Che, Raffi Hagopian, et al.. (2014). Regulation of NF-κB signaling by oxidized glycerophospholipid and IL-1β induced miRs-21-3p and -27a-5p in human aortic endothelial cells. Journal of Lipid Research. 56(1). 38–50. 36 indexed citations
9.
Orozco, Luz D., Liudmilla Rubbi, Lisa Martin, et al.. (2014). Intergenerational genomic DNA methylation patterns in mouse hybrid strains. Genome biology. 15(5). R68–R68. 30 indexed citations
10.
Civelek, Mete, Raffi Hagopian, Calvin Pan, et al.. (2013). Genetic regulation of human adipose microRNA expression and its consequences for metabolic traits. Human Molecular Genetics. 22(15). 3023–3037. 61 indexed citations
11.
Shih, Diana M., Nam Che, Judy Wu, et al.. (2013). Abstract 18108: Decreased Fmo3 Expression is Associated With Increased Atherosclerosis and Impaired Liver Function in Apolipoprotein E Null Mice. Circulation. 128(suppl_22). 1 indexed citations
12.
Orozco, Luz D., Brian J. Bennett, Charles R. Farber, et al.. (2012). Unraveling Inflammatory Responses using Systems Genetics and Gene-Environment Interactions in Macrophages. Cell. 151(3). 658–670. 98 indexed citations
13.
Romanoski, Casey E., Nam Che, Fen Yin, et al.. (2011). Network for Activation of Human Endothelial Cells by Oxidized Phospholipids. Circulation Research. 109(5). e27–41. 102 indexed citations
14.
Barajas, Berenice, Nam Che, Fen Yin, et al.. (2010). NF-E2–Related Factor 2 Promotes Atherosclerosis by Effects on Plasma Lipoproteins and Cholesterol Transport That Overshadow Antioxidant Protection. Arteriosclerosis Thrombosis and Vascular Biology. 31(1). 58–66. 140 indexed citations
15.
Orozco, Luz D., Shawn Cokus, Anatole Ghazalpour, et al.. (2009). Copy number variation influences gene expression and metabolic traits in mice. Human Molecular Genetics. 18(21). 4118–4129. 87 indexed citations
16.
Akrami, Kevan, Ke Wei, Carlos De Diego, et al.. (2008). Muscleblind‐like 2 (Mbnl2) ‐deficient mice as a model for myotonic dystrophy. Developmental Dynamics. 237(2). 403–410. 46 indexed citations
17.
Vera, Iset, Nam Che, Xuping Wang, et al.. (2007). Identification of Abcc6 as the major causal gene for dystrophic cardiac calcification in mice through integrative genomics. Proceedings of the National Academy of Sciences. 104(11). 4530–4535. 103 indexed citations
18.
Wei, Ke, Nam Che, & Fabian Chen. (2006). Myocardin‐related transcription factor B is required for normal mouse vascular development and smooth muscle gene expression. Developmental Dynamics. 236(2). 416–425. 19 indexed citations
19.
Schadt, Eric E., Stephanie A. Monks, Thomas A. Drake, et al.. (2003). Genetics of gene expression surveyed in maize, mouse and man. Nature. 422(6929). 297–302. 1105 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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