Ji Yang
Impact in
- Immunology top 5%
- T-cell and B-cell Immunology
- Immune Cell Function and Interaction
- Psoriasis: Treatment and Pathogenesis
- Rheumatology top 2%
- Systemic Lupus Erythematosus Research
Papers in
-
- Plant Molecular Biology Research 10
- Plant Parasitism and Resistance 9
- Co-authors
- Xue Yang (14 shared papers)Yiwei Chu (4 shared papers)Bo Li (11 shared papers)Di Gao (2 shared papers)Hejian Zou (4 shared papers)Ming Li (6 shared papers)Lubing Zhu (1 shared paper)Xin‐Rong Yang (1 shared paper)
- Journals
- Frontiers in Plant Science (12 papers)Journal of Systematics and Evolution (9 papers)PLoS ONE (6 papers)Cell Death and Disease (2 papers)Building and Environment (2 papers)
- Partner nations
- ChinaGermanySouth Korea
In The Last Decade
Ji Yang
103 papers receiving 2.8k citations
Ji Yang's Hit Papers
Peers
Comparison fields: 5 of 137
- Immunology 634
- Rheumatology 337
- Plant Science 761
- Ecological Modeling 58
- Ecology, Evolution, Behavior and Systematics 257
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 107 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | Th17 and natural Treg cell population dynamics in systemic lupus erythematosus Hit paper breakdown → | 2009 | 380 |
| 2 | 2008 | 192 | |
| 3 | 2010 | 143 | |
| 4 | 2012 | 98 | |
| 5 | 2009 | 96 | |
| 6 | 2014 | 92 | |
| 7 | 2021 | 79 | |
| 8 | 2021 | 75 | |
| 9 | 2011 | 74 | |
| 10 | 2018 | 69 | |
| 11 | 2013 | 69 | |
| 12 | 2006 | 68 | |
| 13 | 2016 | 64 | |
| 14 | 2013 | 60 | |
| 15 | 2012 | 58 | |
| 16 | 2019 | 52 | |
| 17 | 2016 | 51 | |
| 18 | 2013 | 47 | |
| 19 | 2016 | 47 | |
| 20 | 2011 | 45 |
About Ji Yang
Ji Yang is a scholar working on Plant Science, Molecular Biology, Ecology, Evolution, Behavior and Systematics, Immunology and Genetics, having authored 107 papers that have together received 2.8k indexed citations. Recurring topics across this work include Systemic Sclerosis and Related Diseases (12 papers), Plant Molecular Biology Research (10 papers), Genetic diversity and population structure (9 papers), Plant Parasitism and Resistance (9 papers), Immune Cell Function and Interaction (8 papers), Food Quality and Safety Studies (7 papers), Ecology and Vegetation Dynamics Studies (7 papers) and T-cell and B-cell Immunology (7 papers). The work is most often cited by research in Immunology (634 citations), Rheumatology (337 citations), Plant Science (761 citations), Ecological Modeling (58 citations) and Ecology, Evolution, Behavior and Systematics (257 citations). Ji Yang has collaborated with scholars based in China, Germany and South Korea. Frequent co-authors include Xue Yang, Yiwei Chu, Bo Li, Di Gao, Hejian Zou, Ming Li, Lubing Zhu, Xin‐Rong Yang, Linlin Wan and Ming Li. Their work appears in journals such as Frontiers in Plant Science, Journal of Systematics and Evolution, PLoS ONE, Cell Death and Disease and Building and Environment.
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.