Jun Lin

1.2k citations
40 papers · 900 · h-index 16

Impact in

  • Biochemistry top 10%
    • Phytochemicals and Antioxidant Activities
  • Pollution top 10%
    • Pharmaceutical and Antibiotic Environmental Impacts

Papers in

Jun Lin

40 papers receiving 891 citations

Peers

Jun Lin
Comparison fields: 5 of 120
  • Biochemistry 76
  • Pollution 114
  • Pathology and Forensic Medicine 169
  • Food Science 144
  • Health, Toxicology and Mutagenesis 97
Replace Ping Liu with:
Ping Liu China
Isabelle A. Kagan United States
Xin Xin China
Marta Sousa Silva Portugal
Xin Cui China
Ekaterina Krumova Bulgaria
Mya Myintzu Hlaing Australia
Brian D. McGarvey Canada
Hadiatullah Hadiatullah China
Yali Luo China
Jun Lin relative to Ping Liu China Ping Liu's profile →
Citations per field
00.5×4.2×
Ping Liu · 1×
Citations per year

Countries citing papers authored by Jun Lin

Since Specialization
Citations

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

Fields of papers citing papers by Jun Lin

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 40 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2019134
2 2020117
3 201894
4 201471
5 202046
6 201742
7 201240
8 201838
9 201136
10 201633
11 201829
12 201929
13 201927
14 201219
15 202218
16 200618
17 202212
18 202112
19 202310
20 202310

About Jun Lin

Jun Lin is a scholar working on Molecular Biology, Pathology and Forensic Medicine, Radiology, Nuclear Medicine and Imaging, Electronic, Optical and Magnetic Materials and Materials Chemistry, having authored 40 papers that have together received 900 indexed citations. Recurring topics across this work include Monoclonal and Polyclonal Antibodies Research (7 papers), Tea Polyphenols and Effects (6 papers), Ga2O3 and related materials (6 papers), ZnO doping and properties (6 papers), Protein purification and stability (5 papers), Marine and fisheries research (3 papers), GaN-based semiconductor devices and materials (3 papers) and Ginseng Biological Effects and Applications (3 papers). The work is most often cited by research in Biochemistry (76 citations), Pollution (114 citations), Pathology and Forensic Medicine (169 citations), Food Science (144 citations) and Health, Toxicology and Mutagenesis (97 citations). Jun Lin has collaborated with scholars based in China, United States and Australia. Frequent co-authors include Derek C. G. Muir, Xiaowei Zhang, Ying Peng, Wendi Fang, Xiaomin Yu, Zhenbiao Yang, Ying Shi, Si Chen, Shaoxiong Wang and Xiaoxia Wang. Their work appears in journals such as Molecules, Nature Communications, ACS Applied Materials & Interfaces, Cancer Research and Journal of Chromatography B.

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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