Junlin Wen

1.4k citations
45 papers · 1.2k · h-index 19

Impact in

Papers in

Junlin Wen

42 papers receiving 1.2k citations

Peers

Junlin Wen
Comparison fields: 5 of 98
  • Electrochemistry 103
  • Biomedical Engineering 449
  • Molecular Biology 642
  • Environmental Engineering 126
  • Small Animals 49
Replace Lifang Sun with:
Lifang Sun China
Muhammad Ali Tahir Pakistan
Demet Çetin Türkiye
John M. Pisciotta United States
Wenying Guo China
Lemmuel L. Tayo Philippines
W. Judson Hervey United States
Yuna Zhang China
Akhilesh Kumar Chaurasia South Korea
Jiangyong Hu Singapore
Junlin Wen relative to Lifang Sun China Lifang Sun's profile →
Citations per field
00.5×4.8×
Lifang Sun · 1×
Citations per year

Countries citing papers authored by Junlin Wen

Since Specialization
Citations

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

Fields of papers citing papers by Junlin Wen

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 45 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2019130
2 2014129
3 2014123
4 201691
5 201976
6 201162
7 201956
8 201954
9 201450
10 201439
11 201437
12 201535
13 201535
14 201334
15 201833
16 201532
17 201325
18 202221
19 201720
20 202317

About Junlin Wen

Junlin Wen is a scholar working on Molecular Biology, Biomedical Engineering, Electrical and Electronic Engineering, Environmental Engineering and Electrochemistry, having authored 45 papers that have together received 1.2k indexed citations. Recurring topics across this work include Advanced biosensing and bioanalysis techniques (17 papers), Biosensors and Analytical Detection (12 papers), Microbial Fuel Cells and Bioremediation (7 papers), DNA and Nucleic Acid Chemistry (7 papers), Electrochemical sensors and biosensors (6 papers), Electrochemical Analysis and Applications (6 papers), Conducting polymers and applications (5 papers) and Perovskite Materials and Applications (5 papers). The work is most often cited by research in Electrochemistry (103 citations), Biomedical Engineering (449 citations), Molecular Biology (642 citations), Environmental Engineering (126 citations) and Small Animals (49 citations). Junlin Wen has collaborated with scholars based in China, United States and Poland. Frequent co-authors include Shungui Zhou, Junhua Chen, Yong Yuan, Lihua Zhou, Shaofeng Zhou, Li Zhuang, Guiqin Yang, Jian Sun, Yaping Zhang and Suqing Zhao. Their work appears in journals such as Biosensors and Bioelectronics, RSC Advances, INTERNATIONAL JOURNAL OF SYSTEMATIC AND EVOLUTIONARY MICROBIOLOGY, Science China Technological Sciences and Environmental Research.

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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