Jun Liu
Impact in
- Biological Psychiatry top 0.5%
- Tryptophan and brain disorders
- Physiology top 1%
- Diet and metabolism studies
Papers in
-
- Metabolomics and Mass Spectrometry Studies 18
- Gut microbiota and health 14
- Bioinformatics and Genomic Networks 10
- Genetics 39
- Genetic diversity and population structure 9
- Co-authors
- Peter G. Schultz (3 shared papers)Eric C. Peters (1 shared paper)Scott A. Lesley (1 shared paper)Andrew Anfora (1 shared paper)William R. Wikoff (1 shared paper)Gary Siuzdak (1 shared paper)Jiayu Zhou (2 shared papers)Jieping Ye (2 shared papers)
- Journals
- Scientific Reports (5 papers)PLoS ONE (3 papers)Frontiers in Cardiovascular Medicine (3 papers)Alzheimer s & Dementia (3 papers)EBioMedicine (2 papers)
- Partner nations
- ChinaUnited StatesUnited Kingdom
In The Last Decade
Jun Liu
213 papers receiving 6.5k citations
Hit Papers
Peers
Comparison fields: 5 of 185
- Biological Psychiatry 460
- Physiology 1.3k
- Molecular Biology 3.5k
- Gastroenterology 200
- Neurology 249
Countries citing papers authored by Jun Liu
This map shows the geographic impact of Jun Liu'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 Jun Liu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jun Liu more than expected).
Fields of papers citing papers by Jun Liu
This network shows the impact of papers produced by Jun Liu. 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 Jun Liu. The network helps show where Jun Liu may publish in the future.
Co-authors
The 25 scholars most cited alongside Jun Liu, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 226 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | Metabolomics analysis reveals large effects of gut microflora on mammalian blood metabolites Hit paper breakdown → | 2009 | 2051 |
| 2 | 2007 | 469 | |
| 3 | 2007 | 204 | |
| 4 | 2011 | 187 | |
| 5 | 2017 | 186 | |
| 6 | 2013 | 159 | |
| 7 | 2005 | 133 | |
| 8 | 2007 | 123 | |
| 9 | 2005 | 117 | |
| 10 | 2010 | 116 | |
| 11 | 2019 | 104 | |
| 12 | 2013 | 102 | |
| 13 | 2007 | 93 | |
| 14 | 2009 | 84 | |
| 15 | 2016 | 67 | |
| 16 | 2016 | 65 | |
| 17 | 2017 | 63 | |
| 18 | 2019 | 63 | |
| 19 | 2019 | 54 | |
| 20 | 2014 | 54 |
About Jun Liu
Jun Liu is a scholar working on Molecular Biology, Genetics, Physiology, Psychiatry and Mental health and Epidemiology, having authored 226 papers that have together received 6.6k indexed citations. Recurring topics across this work include Metabolomics and Mass Spectrometry Studies (18 papers), Gut microbiota and health (14 papers), Bioinformatics and Genomic Networks (10 papers), Dementia and Cognitive Impairment Research (9 papers), Genetic diversity and population structure (9 papers), Diet and metabolism studies (9 papers), Adipose Tissue and Metabolism (8 papers) and Cancer, Lipids, and Metabolism (7 papers). The work is most often cited by research in Biological Psychiatry (460 citations), Physiology (1.3k citations), Molecular Biology (3.5k citations), Gastroenterology (200 citations) and Neurology (249 citations). Jun Liu has collaborated with scholars based in China, United States and United Kingdom. Frequent co-authors include Peter G. Schultz, Eric C. Peters, Scott A. Lesley, Andrew Anfora, William R. Wikoff, Gary Siuzdak, Jiayu Zhou, Jieping Ye, Lei Yuan and Vaibhav A. Narayan. Their work appears in journals such as Scientific Reports, PLoS ONE, Frontiers in Cardiovascular Medicine, Alzheimer s & Dementia and EBioMedicine.
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.