Huaping Tang
Impact in
- Plant Science top 5%
- Wheat and Barley Genetics and Pathology
- Genetics and Plant Breeding
- Plant Disease Resistance and Genetics
- Plant nutrient uptake and metabolism
- Rice Cultivation and Yield Improvement
- Plant Molecular Biology Research
- Agronomy and Crop Science top 5%
- Crop Yield and Soil Fertility
Papers in
-
- Wheat and Barley Genetics and Pathology 33
- Genetics and Plant Breeding 13
- Plant nutrient uptake and metabolism 7
- Rice Cultivation and Yield Improvement 7
- Genetics 21
- Genetic Mapping and Diversity in Plants and Animals 20
- Co-authors
- Yuming Wei (43 shared papers)Xiujin Lan (38 shared papers)Jian Ma (42 shared papers)Guoyue Chen (39 shared papers)Qiantao Jiang (41 shared papers)Youliang Zheng (36 shared papers)Mu Yang (23 shared papers)Yaxi Liu (19 shared papers)
In The Last Decade
Huaping Tang
50 papers receiving 580 citations
Peers
Comparison fields: 5 of 33
- Plant Science 553
- Agronomy and Crop Science 149
- Genetics 274
- Nutrition and Dietetics 36
- Molecular Biology 84
Countries citing papers authored by Huaping Tang
This map shows the geographic impact of Huaping Tang'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 Huaping Tang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Huaping Tang more than expected).
Fields of papers citing papers by Huaping Tang
This network shows the impact of papers produced by Huaping Tang. 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 Huaping Tang. The network helps show where Huaping Tang may publish in the future.
Co-authors
The 25 scholars most cited alongside Huaping Tang, 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 55 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2018 | 85 | |
| 2 | 2019 | 61 | |
| 3 | 2019 | 43 | |
| 4 | 2019 | 38 | |
| 5 | 2020 | 33 | |
| 6 | 2021 | 21 | |
| 7 | 2019 | 21 | |
| 8 | 2022 | 19 | |
| 9 | 2019 | 19 | |
| 10 | 2019 | 17 | |
| 11 | 2019 | 16 | |
| 12 | 2020 | 13 | |
| 13 | 2021 | 12 | |
| 14 | 2021 | 12 | |
| 15 | 2021 | 12 | |
| 16 | 2008 | 12 | |
| 17 | 2021 | 11 | |
| 18 | 2020 | 10 | |
| 19 | 2021 | 9 | |
| 20 | 2022 | 9 |
About Huaping Tang
Huaping Tang is a scholar working on Plant Science, Genetics, Agronomy and Crop Science, Molecular Biology and Nutrition and Dietetics, having authored 55 papers that have together received 586 indexed citations. Recurring topics across this work include Wheat and Barley Genetics and Pathology (33 papers), Genetic Mapping and Diversity in Plants and Animals (20 papers), Genetics and Plant Breeding (13 papers), Food composition and properties (9 papers), Crop Yield and Soil Fertility (8 papers), Plant nutrient uptake and metabolism (7 papers), Rice Cultivation and Yield Improvement (7 papers) and Biofuel production and bioconversion (7 papers). The work is most often cited by research in Plant Science (553 citations), Agronomy and Crop Science (149 citations), Genetics (274 citations), Nutrition and Dietetics (36 citations) and Molecular Biology (84 citations). Huaping Tang has collaborated with scholars based in China, Australia and Spain. Frequent co-authors include Yuming Wei, Xiujin Lan, Jian Ma, Guoyue Chen, Qiantao Jiang, Youliang Zheng, Mu Yang, Yaxi Liu, Pengfei Qi and Mei Deng. Their work appears in journals such as Theoretical and Applied Genetics, Frontiers in Plant Science, Genome, Journal of the Science of Food and Agriculture 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.