Yan‐Ping Tian
Impact in
- Horticulture top 5%
- Endocrinology top 2%
- Plant and Fungal Interactions Research
Papers in
-
- Plant Virus Research Studies 50
- Plant Pathogenic Bacteria Studies 15
- Plant-Microbe Interactions and Immunity 14
- Plant Disease Resistance and Genetics 9
- Phytoplasmas and Hemiptera pathogens 4
-
- CRISPR and Genetic Engineering 7
- Co-authors
- Jari P. T. Valkonen (13 shared papers)Xiangdong Li (38 shared papers)Chao Geng (27 shared papers)Deusdedith R. Mbanzibwa (4 shared papers)Settumba B. Mukasa (4 shared papers)Alois Kullaya (3 shared papers)Arthur K. Tugume (3 shared papers)Fred Tairo (3 shared papers)
In The Last Decade
Yan‐Ping Tian
58 papers receiving 1.1k citations
Peers
Comparison fields: 5 of 62
- Horticulture 42
- Endocrinology 216
- Plant Science 1.1k
- Insect Science 236
- Biotechnology 102
Countries citing papers authored by Yan‐Ping Tian
This map shows the geographic impact of Yan‐Ping Tian'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‐Ping Tian with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Yan‐Ping Tian more than expected).
Fields of papers citing papers by Yan‐Ping Tian
This network shows the impact of papers produced by Yan‐Ping Tian. 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‐Ping Tian. The network helps show where Yan‐Ping Tian may publish in the future.
Co-authors
The 25 scholars most cited alongside Yan‐Ping Tian, 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 59 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2009 | 116 | |
| 2 | 2009 | 95 | |
| 3 | 2010 | 82 | |
| 4 | 2010 | 72 | |
| 5 | 2019 | 69 | |
| 6 | 2021 | 58 | |
| 7 | 2012 | 52 | |
| 8 | 2014 | 47 | |
| 9 | 2012 | 46 | |
| 10 | 2021 | 39 | |
| 11 | 2010 | 36 | |
| 12 | 2017 | 31 | |
| 13 | 2021 | 31 | |
| 14 | 2013 | 26 | |
| 15 | 2021 | 24 | |
| 16 | 2020 | 20 | |
| 17 | 2014 | 19 | |
| 18 | 2019 | 18 | |
| 19 | 2016 | 16 | |
| 20 | 2021 | 16 |
About Yan‐Ping Tian
Yan‐Ping Tian is a scholar working on Plant Science, Molecular Biology, Endocrinology, Insect Science and Infectious Diseases, having authored 59 papers that have together received 1.2k indexed citations. Recurring topics across this work include Plant Virus Research Studies (50 papers), Plant Pathogenic Bacteria Studies (15 papers), Plant and Fungal Interactions Research (14 papers), Plant-Microbe Interactions and Immunity (14 papers), Plant Disease Resistance and Genetics (9 papers), CRISPR and Genetic Engineering (7 papers), Insect-Plant Interactions and Control (5 papers) and Phytoplasmas and Hemiptera pathogens (4 papers). The work is most often cited by research in Horticulture (42 citations), Endocrinology (216 citations), Plant Science (1.1k citations), Insect Science (236 citations) and Biotechnology (102 citations). Yan‐Ping Tian has collaborated with scholars based in China, Finland and Uganda. Frequent co-authors include Jari P. T. Valkonen, Xiangdong Li, Chao Geng, Deusdedith R. Mbanzibwa, Settumba B. Mukasa, Alois Kullaya, Arthur K. Tugume, Fred Tairo, Samuel Kyamanywa and Liu L. Their work appears in journals such as PLANT PHYSIOLOGY, Molecular Plant Pathology, Plant Disease, Virus Research and Plant Biotechnology Journal.
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.