Nam Che
Impact in
- Genetics top 2%
- Genetic Mapping and Diversity in Plants and Animals
- Genetic Associations and Epidemiology
- Genetic and phenotypic traits in livestock
- Molecular Biology top 5%
- Bioinformatics and Genomic Networks
- Gene expression and cancer classification
- Gut microbiota and health
- Genomics and Chromatin Dynamics
Papers in
-
- Peroxisome Proliferator-Activated Receptors 3
- Circular RNAs in diseases 2
- Mitochondrial Function and Pathology 2
-
- Liver Disease Diagnosis and Treatment 5
- Co-authors
- Aldons J. Lusis (16 shared papers)Thomas A. Drake (2 shared papers)Eric E. Schadt (2 shared papers)John R. Lamb (1 shared paper)Mao Mao (1 shared paper)Guy Cavet (1 shared paper)Stephen Friend (1 shared paper)Peter S. Linsley (1 shared paper)
- Journals
- Journal of Lipid Research (2 papers)Human Molecular Genetics (2 papers)Circulation (2 papers)Developmental Dynamics (2 papers)Circulation Research (1 paper)
- Partner nations
- United StatesGermanySweden
In The Last Decade
Nam Che
18 papers receiving 2.4k citations
Nam Che's Hit Papers
Peers
Comparison fields: 5 of 115
- Genetics 913
- Molecular Biology 1.4k
- Aging 25
- Biological Psychiatry 31
- Cancer Research 179
Countries citing papers authored by Nam Che
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
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-authors
The 25 scholars most cited alongside Nam Che, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | Genetics of gene expression surveyed in maize, mouse and man Hit paper breakdown → | 2003 | 1189 |
| 2 | 2014 | 277 | |
| 3 | 2010 | 147 | |
| 4 | 2007 | 108 | |
| 5 | 2018 | 107 | |
| 6 | 2011 | 104 | |
| 7 | 2012 | 102 | |
| 8 | 2009 | 90 | |
| 9 | 2015 | 81 | |
| 10 | 2013 | 62 | |
| 11 | 2008 | 49 | |
| 12 | 2014 | 45 | |
| 13 | 2021 | 39 | |
| 14 | 2014 | 36 | |
| 15 | 2014 | 31 | |
| 16 | 2006 | 19 | |
| 17 | 2018 | 6 | |
| 18 | 2013 | 1 | |
| 19 | 2024 | 0 |
About Nam Che
Nam Che is a scholar working on Molecular Biology, Epidemiology, Genetics, Surgery and Physiology, having authored 19 papers that have together received 2.5k indexed citations. Recurring topics across this work include Liver Disease Diagnosis and Treatment (5 papers), Peroxisome Proliferator-Activated Receptors (3 papers), Circular RNAs in diseases (2 papers), Cholesterol and Lipid Metabolism (2 papers), Adipose Tissue and Metabolism (2 papers), Mitochondrial Function and Pathology (2 papers), MicroRNA in disease regulation (2 papers) and Genetic Mapping and Diversity in Plants and Animals (2 papers). The work is most often cited by research in Genetics (913 citations), Molecular Biology (1.4k citations), Aging (25 citations), Biological Psychiatry (31 citations) and Cancer Research (179 citations). Nam Che has collaborated with scholars based in United States, Germany and Sweden. Frequent co-authors include Aldons J. Lusis, Thomas A. Drake, Eric E. Schadt, John R. Lamb, Mao Mao, Guy Cavet, Stephen Friend, Peter S. Linsley, Thomas G. Ruff and Stephanie A. Monks. Their work appears in journals such as Journal of Lipid Research, Human Molecular Genetics, Circulation, Developmental Dynamics and Circulation Research.
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.