Yan Luo
Impact in
- Endocrinology top 1%
- Vibrio bacteria research studies
- Food Science top 0.5%
- Salmonella and Campylobacter epidemiology
Papers in
-
- Genomics and Phylogenetic Studies 13
- Food Science 33
- Salmonella and Campylobacter epidemiology 30
- Co-authors
- Errol Strain (20 shared papers)James Pettengill (11 shared papers)Marc W. Allard (27 shared papers)Eric W. Brown (26 shared papers)Hugh Rand (7 shared papers)Ruth Timme (11 shared papers)Arthur Pightling (3 shared papers)Joseph D. Baugher (2 shared papers)
- Journals
- Frontiers in Microbiology (9 papers)PLoS ONE (8 papers)Scientific Reports (6 papers)PeerJ (4 papers)BMC Genomics (3 papers)
- Partner nations
- ChinaUnited StatesHong Kong
In The Last Decade
Yan Luo
116 papers receiving 2.7k citations
Peers
Comparison fields: 5 of 128
- Endocrinology 359
- Food Science 1.1k
- Molecular Medicine 281
- Biotechnology 487
- Microbiology 131
Countries citing papers authored by Yan Luo
This map shows the geographic impact of Yan Luo'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 Yan Luo with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Yan Luo more than expected).
Fields of papers citing papers by Yan Luo
This network shows the impact of papers produced by Yan Luo. 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 Yan Luo. The network helps show where Yan Luo may publish in the future.
Co-authors
The 25 scholars most cited alongside Yan Luo, 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 120 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2015 | 212 | |
| 2 | 2018 | 186 | |
| 3 | 2012 | 106 | |
| 4 | 2013 | 94 | |
| 5 | 2014 | 91 | |
| 6 | 2010 | 90 | |
| 7 | 2007 | 89 | |
| 8 | 2010 | 80 | |
| 9 | 2021 | 71 | |
| 10 | 2015 | 67 | |
| 11 | 2013 | 65 | |
| 12 | 2012 | 61 | |
| 13 | 2005 | 58 | |
| 14 | 2017 | 56 | |
| 15 | 2007 | 53 | |
| 16 | 2017 | 52 | |
| 17 | 2020 | 52 | |
| 18 | 2016 | 46 | |
| 19 | 2017 | 44 | |
| 20 | 2018 | 44 |
About Yan Luo
Yan Luo is a scholar working on Molecular Biology, Food Science, Ecology, Molecular Medicine and Plant Science, having authored 120 papers that have together received 2.8k indexed citations. Recurring topics across this work include Salmonella and Campylobacter epidemiology (30 papers), Bacteriophages and microbial interactions (24 papers), Antibiotic Resistance in Bacteria (16 papers), Genomics and Phylogenetic Studies (13 papers), Listeria monocytogenes in Food Safety (12 papers), Escherichia coli research studies (8 papers), Viral gastroenteritis research and epidemiology (8 papers) and Microbial infections and disease research (8 papers). The work is most often cited by research in Endocrinology (359 citations), Food Science (1.1k citations), Molecular Medicine (281 citations), Biotechnology (487 citations) and Microbiology (131 citations). Yan Luo has collaborated with scholars based in China, United States and Hong Kong. Frequent co-authors include Errol Strain, James Pettengill, Marc W. Allard, Eric W. Brown, Hugh Rand, Ruth Timme, Arthur Pightling, Joseph D. Baugher, Justin L. Payne and Mei Shi. Their work appears in journals such as Frontiers in Microbiology, PLoS ONE, Scientific Reports, PeerJ and BMC Genomics.
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.