Ling Ling Tan

2.0k citations
88 papers · 1.6k · h-index 23

Impact in

Papers in

    • Advanced biosensing and bioanalysis techniques 27
    • Bacterial biofilms and quorum sensing 7
    • Biosensors and Analytical Detection 17
    • Advanced Chemical Sensor Technologies 9

Ling Ling Tan

86 papers receiving 1.5k citations

Peers

Ling Ling Tan
Comparison fields: 5 of 124
  • Endocrinology 120
  • Bioengineering 115
  • Electrochemistry 100
  • Biomedical Engineering 473
  • Molecular Biology 659
Replace Dandan Wang with:
Dandan Wang China
Ying Dong China
Sha Liu China
Steven Ripp United States
Honglin Ren China
Soumya Haldar India
Yasutaka Morita Japan
Peipei Zhang China
Mujahid Iqbal China
Xiaoxiao Liu China
Ling Ling Tan relative to Dandan Wang China Dandan Wang's profile →
Citations per field
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Dandan Wang · 1×
Citations per year

Countries citing papers authored by Ling Ling Tan

Since Specialization
Citations

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

Fields of papers citing papers by Ling Ling Tan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 88 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2013108
2 201592
3 201470
4 202067
5 202167
6 201953
7 201846
8 201840
9 202040
10 202139
11 202037
12 201632
13 201929
14 201828
15 201628
16 202027
17 202127
18 201426
19 201825
20 201225

About Ling Ling Tan

Ling Ling Tan is a scholar working on Molecular Biology, Biomedical Engineering, Electrical and Electronic Engineering, Bioengineering and Plant Science, having authored 88 papers that have together received 1.6k indexed citations. Recurring topics across this work include Advanced biosensing and bioanalysis techniques (27 papers), Electrochemical sensors and biosensors (23 papers), Analytical Chemistry and Sensors (19 papers), Biosensors and Analytical Detection (17 papers), Advanced Chemical Sensor Technologies (9 papers), Electrochemical Analysis and Applications (9 papers), Bacterial biofilms and quorum sensing (7 papers) and Vibrio bacteria research studies (7 papers). The work is most often cited by research in Endocrinology (120 citations), Bioengineering (115 citations), Electrochemistry (100 citations), Biomedical Engineering (473 citations) and Molecular Biology (659 citations). Ling Ling Tan has collaborated with scholars based in Malaysia, China and Indonesia. Frequent co-authors include Lee Yook Heng, Kwok Feng Chong, Nurul Huda Abd Karim, Goh Choo Ta, Yong Zhao, Yingjie Pan, Haiquan Liu, Jing Jing Wang, Yook Heng Lee and Musa Ahmad. Their work appears in journals such as Sensors, Sensors and Actuators B Chemical, Frontiers in Microbiology, Biosensors and Spectrochimica Acta Part A Molecular and Biomolecular Spectroscopy.

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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