Peng Jia

1.6k total citations
50 papers, 1.1k citations indexed

About

Peng Jia is a scholar working on Molecular Biology, Plant Science and Nature and Landscape Conservation. According to data from OpenAlex, Peng Jia has authored 50 papers receiving a total of 1.1k indexed citations (citations by other indexed papers that have themselves been cited), including 15 papers in Molecular Biology, 15 papers in Plant Science and 12 papers in Nature and Landscape Conservation. Recurrent topics in Peng Jia's work include Ecology and Vegetation Dynamics Studies (12 papers), Plant and animal studies (8 papers) and Genetic and phenotypic traits in livestock (7 papers). Peng Jia is often cited by papers focused on Ecology and Vegetation Dynamics Studies (12 papers), Plant and animal studies (8 papers) and Genetic and phenotypic traits in livestock (7 papers). Peng Jia collaborates with scholars based in China, United States and Pakistan. Peng Jia's 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 and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Nature Communications and Renewable and Sustainable Energy Reviews.

In The Last Decade

Peng Jia

46 papers receiving 1.1k citations

Peers

Peng Jia
Comparison fields: 5 of 108
  • Molecular Biology 330
  • Public Health, Environmental and Occupational Health 266
  • Reproductive Medicine 249
  • Genetics 212
  • Immunology 182
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Citations per field, relative to Peng Jia
Peng Jia · 1×
Citations per year, relative to Peng Jia
Peng Jia · 1×

Countries citing papers authored by Peng Jia

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

20 of 20 papers shown
# 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

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.

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