Jing Jia

71 total papers · 1.5k total citations
48 papers, 1.1k citations indexed

About

Jing Jia is a scholar working on Molecular Biology, Cancer Research and Plant Science. According to data from OpenAlex, Jing Jia has authored 48 papers receiving a total of 1.1k indexed citations (citations by other indexed papers that have themselves been cited), including 23 papers in Molecular Biology, 13 papers in Cancer Research and 12 papers in Plant Science. Recurrent topics in Jing Jia's work include Wheat and Barley Genetics and Pathology (7 papers), MicroRNA in disease regulation (6 papers) and Cancer-related molecular mechanisms research (5 papers). Jing Jia is often cited by papers focused on Wheat and Barley Genetics and Pathology (7 papers), MicroRNA in disease regulation (6 papers) and Cancer-related molecular mechanisms research (5 papers). Jing Jia collaborates with scholars based in China, United States and Singapore. Jing Jia's co-authors include Ronghua Zhou, Yu Chen, Lianyi Han, Zhi Cao, Naxin Huo, Chaofei Zheng, Xiaojie Ma, Bo Xie, Chenyang Hao and Xulan Shang and has published in prestigious journals such as Nucleic Acids Research, Biochemical and Biophysical Research Communications and Gene.

In The Last Decade

Jing Jia

44 papers receiving 1.1k citations

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author Last Decade Papers Cites
Jing Jia 489 404 188 114 105 48 1.1k
Xin Feng 1.1k 2.2× 197 0.5× 107 0.6× 179 1.6× 94 0.9× 45 1.4k
Weixuan Wang 502 1.0× 485 1.2× 89 0.5× 74 0.6× 66 0.6× 67 1.3k
Qi Yu 398 0.8× 172 0.4× 249 1.3× 72 0.6× 30 0.3× 55 1.0k
Maria Antonietta Belisario 694 1.4× 126 0.3× 72 0.4× 136 1.2× 86 0.8× 51 1.2k
Mohamed M. Khalifa 596 1.2× 81 0.2× 151 0.8× 73 0.6× 85 0.8× 48 1.2k
Peter Solár 576 1.2× 165 0.4× 72 0.4× 166 1.5× 174 1.7× 73 1.4k
Jie Gao 792 1.6× 139 0.3× 80 0.4× 87 0.8× 46 0.4× 66 1.3k
Jiong Zhao 482 1.0× 225 0.6× 102 0.5× 96 0.8× 76 0.7× 25 946
Tomoya Yamada 502 1.0× 216 0.5× 256 1.4× 237 2.1× 28 0.3× 71 1.5k
Hyun Seok Kim 902 1.8× 138 0.3× 203 1.1× 251 2.2× 126 1.2× 46 1.4k

Countries citing papers authored by Jing Jia

Since Specialization
Citations

This map shows the geographic impact of Jing 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 Jing Jia with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jing Jia more than expected).

Fields of papers citing papers by Jing Jia

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Jing 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 Jing Jia. The network helps show where Jing Jia may publish in the future.

Co-authorship network of co-authors of Jing Jia

This figure shows the co-authorship network connecting the top 25 collaborators of Jing Jia. A scholar is included among the top collaborators of Jing 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 Jing Jia. Jing Jia is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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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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