Chenjun Jia

466 citations
7 papers · 341 · h-index 6

Impact in

Papers in

    • Photosynthetic Processes and Mechanisms 3
    • Microbial Metabolic Engineering and Bioproduction 2
    • Microbial bioremediation and biosurfactants 3

Chenjun Jia

7 papers receiving 339 citations

Peers

Chenjun Jia
Comparison fields: 5 of 50
  • Molecular Biology 307
  • Cellular and Molecular Neuroscience 80
  • Biochemistry 24
  • Renewable Energy, Sustainability and the Environment 55
  • Pollution 31
Replace Hong Jin Hwang with:
Hong Jin Hwang United States
Tania Tibiletti France
A. Watanabe Japan
Anjie Li China
Minna Lintala Finland
Shunsuke Ohashi Japan
Clas Dahlin Sweden
Lodovica Loschi Italy
Iva Šnyrychová Czechia
David S. Stevenson United Kingdom
Chenjun Jia relative to Hong Jin Hwang United States Hong Jin Hwang's profile →
Citations per field
00.5×5.2×
Hong Jin Hwang · 1×
Citations per year

Countries citing papers authored by Chenjun Jia

Since Specialization
Citations

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

Fields of papers citing papers by Chenjun Jia

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Chenjun Jia, 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 Chenjun Jia Line = papers co-authored together Chenjun Jia links everyone, so they are left out of the graph.

All Works

7 of 7 papers shown
#Work
1 2011205
2 201450
3 201636
4 202027
5 201716
6 20226
7 20251

About Chenjun Jia

Chenjun Jia is a scholar working on Molecular Biology, Pollution, Inorganic Chemistry, Cellular and Molecular Neuroscience and Rehabilitation, having authored 7 papers that have together received 341 indexed citations. Recurring topics across this work include Microbial bioremediation and biosurfactants (3 papers), Photosynthetic Processes and Mechanisms (3 papers), Metal-Catalyzed Oxygenation Mechanisms (2 papers), Microbial Metabolic Engineering and Bioproduction (2 papers), Computational Drug Discovery Methods (1 paper), Algal biology and biofuel production (1 paper), Light effects on plants (1 paper) and Acute Ischemic Stroke Management (1 paper). The work is most often cited by research in Molecular Biology (307 citations), Cellular and Molecular Neuroscience (80 citations), Biochemistry (24 citations), Renewable Energy, Sustainability and the Environment (55 citations) and Pollution (31 citations). Chenjun Jia has collaborated with scholars based in China, United States and South Korea. Frequent co-authors include Mei Li, Wenrui Chang, Xiaowei Pan, Xuelin Zhao, Zhiqiang Hou, Jiping Zhang, Tao Wan, Longfei Wang, Xuefeng Lü and Luyao Bao. Their work appears in journals such as The Journal of Experimental Medicine, Scientific Reports, Protein & Cell, BMC Biotechnology and Nature Structural & Molecular Biology.

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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