Ji Yang
Impact in
- Endocrinology top 0.5%
- Escherichia coli research studies
- Vibrio bacteria research studies
- Molecular Medicine top 0.5%
- Antibiotic Resistance in Bacteria
Papers in
- Genetics 41
- Bacterial Genetics and Biotechnology 40
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- RNA and protein synthesis mechanisms 20
- DNA and Nucleic Acid Chemistry 6
- DNA Repair Mechanisms 4
- Co-authors
- J Pittard (6 shared papers)Roy M. Robins‐Browne (23 shared papers)Marija Tauschek (20 shared papers)H Camakaris (9 shared papers)A J Pittard (16 shared papers)Richard A. Strugnell (13 shared papers)Dianna M. Hocking (12 shared papers)Kwang Jun Lee (7 shared papers)
- Journals
- Journal of Bacteriology (21 papers)PLoS ONE (6 papers)Infection and Immunity (6 papers)Molecular Microbiology (6 papers)Frontiers in Microbiology (3 papers)
- Partner nations
- AustraliaSouth KoreaUnited Kingdom
In The Last Decade
Ji Yang
66 papers receiving 2.1k citations
Peers
Comparison fields: 5 of 109
- Endocrinology 654
- Molecular Medicine 607
- Genetics 673
- Applied Microbiology and Biotechnology 36
- Molecular Biology 1.0k
Countries citing papers authored by Ji Yang
This map shows the geographic impact of Ji Yang'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 Ji Yang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Ji Yang more than expected).
Fields of papers citing papers by Ji Yang
This network shows the impact of papers produced by Ji Yang. 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 Ji Yang. The network helps show where Ji Yang may publish in the future.
Co-authors
The 25 scholars most cited alongside Ji Yang, 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 67 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2011 | 241 | |
| 2 | 2004 | 165 | |
| 3 | 2016 | 116 | |
| 4 | 2011 | 90 | |
| 5 | 2018 | 72 | |
| 6 | 2008 | 64 | |
| 7 | 1993 | 57 | |
| 8 | 1993 | 56 | |
| 9 | 2008 | 50 | |
| 10 | 2008 | 48 | |
| 11 | 2018 | 48 | |
| 12 | 1987 | 47 | |
| 13 | 2017 | 44 | |
| 14 | 2018 | 43 | |
| 15 | 2009 | 41 | |
| 16 | 2005 | 41 | |
| 17 | 2004 | 39 | |
| 18 | 2018 | 38 | |
| 19 | 2014 | 38 | |
| 20 | 2006 | 37 |
About Ji Yang
Ji Yang is a scholar working on Genetics, Molecular Biology, Endocrinology, Molecular Medicine and Infectious Diseases, having authored 67 papers that have together received 2.1k indexed citations. Recurring topics across this work include Bacterial Genetics and Biotechnology (40 papers), Antibiotic Resistance in Bacteria (21 papers), RNA and protein synthesis mechanisms (20 papers), Escherichia coli research studies (18 papers), Vibrio bacteria research studies (10 papers), Viral gastroenteritis research and epidemiology (6 papers), DNA and Nucleic Acid Chemistry (6 papers) and DNA Repair Mechanisms (4 papers). The work is most often cited by research in Endocrinology (654 citations), Molecular Medicine (607 citations), Genetics (673 citations), Applied Microbiology and Biotechnology (36 citations) and Molecular Biology (1.0k citations). Ji Yang has collaborated with scholars based in Australia, South Korea and United Kingdom. Frequent co-authors include J Pittard, Roy M. Robins‐Browne, Marija Tauschek, H Camakaris, A J Pittard, Richard A. Strugnell, Dianna M. Hocking, Kwang Jun Lee, Hyukmin Lee and Seok Hoon Jeong. Their work appears in journals such as Journal of Bacteriology, PLoS ONE, Infection and Immunity, Molecular Microbiology and Frontiers in Microbiology.
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.