Jing Cai

4.0k citations
55 papers · 1.5k · h-index 21

Impact in

    • Genomics and Phylogenetic Studies
    • Plant biochemistry and biosynthesis
    • RNA and protein synthesis mechanisms
    • CRISPR and Genetic Engineering
    • Microbial Metabolic Engineering and Bioproduction
    • Plant Gene Expression Analysis

Papers in

    • Genomics and Phylogenetic Studies 8
    • Plant and Fungal Species Descriptions 7
    • Plant biochemistry and biosynthesis 6
    • Chromosomal and Genetic Variations 5

Jing Cai

50 papers receiving 1.4k citations

Peers

Jing Cai
Comparison fields: 5 of 131
  • Molecular Biology 838
  • Biotechnology 84
  • Pharmacology 77
  • Pharmacology 139
  • Plant Science 290
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Jing Cai relative to Ibrahim A. Arif Saudi Arabia Ibrahim A. Arif's profile →
Citations per field
00.5×2.8×
Ibrahim A. Arif · 1×
Citations per year

Countries citing papers authored by Jing Cai

Since Specialization
Citations

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

Fields of papers citing papers by Jing Cai

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Jing Cai, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Jing Cai Line = papers co-authored together Jing Cai links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 55 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2008183
2 2018174
3 2007103
4 201094
5 201787
6 201772
7 200868
8 202057
9 201947
10 201842
11 201638
12 202236
13 201229
14 201726
15 201925
16 201724
17 202423
18 201122
19 201822
20 201721

About Jing Cai

Jing Cai is a scholar working on Molecular Biology, Plant Science, Genetics, Ecology, Evolution, Behavior and Systematics and Ecology, having authored 55 papers that have together received 1.5k indexed citations. Recurring topics across this work include Genomics and Phylogenetic Studies (8 papers), Plant and Fungal Species Descriptions (7 papers), Plant biochemistry and biosynthesis (6 papers), Genetic and Clinical Aspects of Sex Determination and Chromosomal Abnormalities (6 papers), Wildlife Ecology and Conservation (5 papers), Chromosomal and Genetic Variations (5 papers), Plant and animal studies (5 papers) and Reproductive biology and impacts on aquatic species (4 papers). The work is most often cited by research in Molecular Biology (838 citations), Biotechnology (84 citations), Pharmacology (77 citations), Pharmacology (139 citations) and Plant Science (290 citations). Jing Cai has collaborated with scholars based in China, Macao and Japan. Frequent co-authors include Huifeng Jiang, Zhigang Jiang, Ruoping Zhao, Wen Wang, Wen Wang, Xiaonan Liu, Chunwang Li, Lijin Duan, Wentao Ding and Weixiong Zhang. Their work appears in journals such as PLoS ONE, Scientific Reports, Chinese Medicine, Nature Communications and Frontiers in Plant Science.

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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