Ling Jin

99 papers receiving 1.2k citations

Ling Jin's Hit Papers

Interim analyses of a first-in-human phase 1/2 mRNA trial for propionic acidaemia 2024 · 69 citations
690+1Years since publication204060

Peers

Ling Jin
Comparison fields: 5 of 139
  • Building and Construction 340
  • Environmental Engineering 232
  • Physiology 187
  • Health, Toxicology and Mutagenesis 106
  • Speech and Hearing 46
Replace Michal Veselý with:
Michal Veselý Czechia
Wenfang Song China
Jiao Chen China
Delphine Bard Sweden
Zhongyi Wang China
Shuting Cheng China
Cong Song China
Yonggao Yin China
Xiaotong Wang China
Francesco Martellotta Italy
Ling Jin relative to Michal Veselý Czechia Michal Veselý's profile →
Citations per field
00.5×12×
Michal Veselý · 1×
Citations per year

Countries citing papers authored by Ling Jin

Since Specialization
Citations

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

Fields of papers citing papers by Ling Jin

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 109 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2016127
2 2019123
3 202090
4 201771
5
Interim analyses of a first-in-human phase 1/2 mRNA trial for propionic acidaemia
Hit paper breakdown →
202469
6 201965
7 202052
8 202345
9 201838
10 201534
11 202332
12 202031
13 202424
14 201824
15 201122
16 202320
17 202217
18 202216
19 201816
20 202115

About Ling Jin

Ling Jin is a scholar working on Materials Chemistry, Electrical and Electronic Engineering, Civil and Structural Engineering, Molecular Biology and Environmental Engineering, having authored 109 papers that have together received 1.3k indexed citations. Recurring topics across this work include Concrete and Cement Materials Research (9 papers), Building Energy and Comfort Optimization (9 papers), Magnesium Oxide Properties and Applications (7 papers), Anodic Oxide Films and Nanostructures (6 papers), Urban Heat Island Mitigation (6 papers), Spectroscopy and Chemometric Analyses (5 papers), Spectroscopy and Laser Applications (5 papers) and Spectroscopy Techniques in Biomedical and Chemical Research (5 papers). The work is most often cited by research in Building and Construction (340 citations), Environmental Engineering (232 citations), Physiology (187 citations), Health, Toxicology and Mutagenesis (106 citations) and Speech and Hearing (46 citations). Ling Jin has collaborated with scholars based in China, United States and United Kingdom. Frequent co-authors include Yufeng Zhang, Zhongjun Zhang, Xiaohong Ji, Yong Jun Wu, Fa Cao, Edward Arens, Maohui Luo, Wenhua Chen, Zhe Wang and Hui Zhang. Their work appears in journals such as Building and Environment, Construction and Building Materials, Journal of The Electrochemical Society, Ceramics International and Journal of Building Engineering.

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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