Jixiang Wu
Impact in
- Endocrinology top 2%
- Plant and Fungal Interactions Research
- Plant Science top 1%
- Research in Cotton Cultivation
- Plant Virus Research Studies
- Genetics and Plant Breeding
- Soybean genetics and cultivation
- Plant pathogens and resistance mechanisms
- Wheat and Barley Genetics and Pathology
Papers in
-
- Plant and Fungal Interactions Research 11
-
- Research in Cotton Cultivation 49
- Genetics and Plant Breeding 27
- Plant Virus Research Studies 13
- Wheat and Barley Genetics and Pathology 13
- Co-authors
- Johnie N. JenkinsJack C. McCartySukumar SahaDavid M. StellyOsman A. GutiérrezPerry B. CreganXianzhi WangRandall L. Nelson
- Journals
- Euphytica (21 papers)Crop Science (15 papers)Theoretical and Applied Genetics (7 papers)Genetica (5 papers)Plant Breeding (4 papers)
- Partner nations
- United StatesChinaColombia
In The Last Decade
Jixiang Wu
85 papers receiving 1.6k citations
Peers
Comparison fields: 5 of 81
- Endocrinology 243
- Plant Science 1.5k
- Agronomy and Crop Science 154
- Horticulture 6
- Genetics 164
Countries citing papers authored by Jixiang Wu
This map shows the geographic impact of Jixiang Wu'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 Jixiang Wu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jixiang Wu more than expected).
Fields of papers citing papers by Jixiang Wu
This network shows the impact of papers produced by Jixiang Wu. 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 Jixiang Wu. The network helps show where Jixiang Wu may publish in the future.
Co-authors
The 25 scholars most cited alongside Jixiang Wu, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2024 | 0 | |
| 2 | 2023 | 1 | |
| 3 | 2022 | 2 | |
| 4 | 2021 | 5 | |
| 5 | 2019 | 3 | |
| 6 | 2018 | 4 | |
| 7 | 2015 | 2 | |
| 8 | 2015 | 201 | |
| 9 | 2015 | 4 | |
| 10 | An augmented additive-dominance (AD) model for analysis of multi-parental spring wheat F2 hybrids | 2014 | 4 |
| 11 | 2014 | 2 | |
| 12 | 2012 | 25 | |
| 13 | 2011 | 43 | |
| 14 | 2011 | 5 | |
| 15 | 2010 | 8 | |
| 16 | 2010 | 28 | |
| 17 | 2010 | 28 | |
| 18 | 2010 | 4 | |
| 19 | 2009 | 4 | |
| 20 | 2008 | 14 |
About Jixiang Wu
Jixiang Wu is a scholar working on Endocrinology, Plant Science, Agronomy and Crop Science, Genetics and Energy Engineering and Power Technology, having authored 90 papers that have together received 1.6k indexed citations. Recurring topics across this work include Research in Cotton Cultivation (49 papers), Genetics and Plant Breeding (27 papers), Plant Virus Research Studies (13 papers), Wheat and Barley Genetics and Pathology (13 papers), Plant and Fungal Interactions Research (11 papers), Genetic Mapping and Diversity in Plants and Animals (10 papers), Genetic and phenotypic traits in livestock (7 papers) and Crop Yield and Soil Fertility (6 papers). The work is most often cited by research in Endocrinology (243 citations), Plant Science (1.5k citations), Agronomy and Crop Science (154 citations), Horticulture (6 citations) and Genetics (164 citations). Jixiang Wu has collaborated with scholars based in United States, China and Colombia. Frequent co-authors include Johnie N. Jenkins, Jack C. McCarty, Sukumar Saha, David M. Stelly, Osman A. Gutiérrez, Perry B. Cregan, Xianzhi Wang, Randall L. Nelson, Guo-Liang Jiang and Qijian Song. Their work appears in journals such as Euphytica, Crop Science, Theoretical and Applied Genetics, Genetica and Plant Breeding.
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.