Peng Jia
- Molecular Biology
- Public Health, Environmental and Occupational Health top 10%
- Reproductive Medicine top 5%
- Genetics top 10%
- Immunology
- Co-authors
- Martin M. MatzukGuozhen DuChang LiuHumphrey Hung‐Chang YaoDiana MonsivaisKaren WigglesworthJohn J. EppigKyung-Bon Lee
- Topics
- Ecology and Vegetation Dynamics Studies (12 papers)Plant and animal studies (8 papers)Genetic and phenotypic traits in livestock (7 papers)
- Journals
- Proceedings of the National Academy of SciencesNature CommunicationsRenewable and Sustainable Energy Reviews
- Partner nations
- ChinaUnited StatesPakistan
In The Last Decade
Peng Jia
46 papers receiving 1.1k citations
Peers
Comparison fields: 5 of 108
- Molecular Biology 330
- Public Health, Environmental and Occupational Health 266
- Reproductive Medicine 249
- Genetics 212
- Immunology 182
Countries citing papers authored by Peng Jia
This map shows the geographic impact of Peng Jia'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 Peng Jia with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Peng Jia more than expected).
Fields of papers citing papers by Peng Jia
This network shows the impact of papers produced by Peng Jia. 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 Peng Jia. The network helps show where Peng Jia may publish in the future.
Co-authorship network of co-authors of Peng Jia
This figure shows the co-authorship network connecting the top 25 collaborators of Peng Jia. A scholar is included among the top collaborators of Peng Jia based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Peng Jia. Peng Jia is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 1 | |
| 2 | 1 | |
| 3 | 2 | |
| 4 | 3 | |
| 5 | 6 | |
| 6 | 20 | |
| 7 | 7 | |
| 8 | 10 | |
| 9 | 14 | |
| 10 | 6 | |
| 11 | 11 | |
| 12 | 10 | |
| 13 | Establishment of prediction model of metabolizable energy of concentrate for mutton sheep by substitution method. | 2 |
| 14 | 21 | |
| 15 | 162 | |
| 16 | 18 | |
| 17 | 14 | |
| 18 | Response of dominating species flowering phenology to fertilization in Qinghai-Tibetan alpine meadow | 3 |
| 19 | Effect of humic acid of media on tobacco seedling-growing in float tray system. | 1 |
| 20 | 1 |
About Peng Jia
Peng Jia is a scholar working on Nature and Landscape Conservation, Agronomy and Crop Science and Ecology, Evolution, Behavior and Systematics, having authored 50 papers that have together received 1.1k indexed citations. Recurring topics across this work include Ecology and Vegetation Dynamics Studies (12 papers), Plant and animal studies (8 papers) and Genetic and phenotypic traits in livestock (7 papers). The work is most often cited by research in Reproductive Medicine (249 citations), Agronomy and Crop Science (144 citations) and Nature and Landscape Conservation (153 citations). Peng Jia has collaborated with scholars based in China, United States and Pakistan. Frequent co-authors include Martin M. Matzuk, Guozhen Du, Chang Liu, Humphrey Hung‐Chang Yao, Diana Monsivais, Karen Wigglesworth, John J. Eppig, Kyung-Bon Lee, Marilyn J. O’Brien and Kun Liu. Their work appears in journals such as Proceedings of the National Academy of Sciences, Nature Communications and Renewable and Sustainable Energy Reviews.
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.