Jun Tan

863 citations
27 papers · 690 · h-index 14

Impact in

Papers in

    • Biochemical Analysis and Sensing Techniques 5
    • Selenium in Biological Systems 4
    • Trace Elements in Health 2
    • Advanced Chemical Sensor Technologies 3
    • Biodiesel Production and Applications 2

Jun Tan

26 papers receiving 679 citations

Peers

Jun Tan
Comparison fields: 5 of 107
  • Biological Psychiatry 67
  • Sensory Systems 75
  • Behavioral Neuroscience 37
  • Nutrition and Dietetics 141
  • Surfaces, Coatings and Films 67
Replace Yulu Zhang with:
Yulu Zhang China
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MARIA D'ALESSIO Italy
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Jun Tan relative to Yulu Zhang China Yulu Zhang's profile →
Citations per field
00.5×10.8×
Yulu Zhang · 1×
Citations per year

Countries citing papers authored by Jun Tan

Since Specialization
Citations

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

Fields of papers citing papers by Jun Tan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 27 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2016101
2 201876
3 201472
4 201462
5 201258
6 202056
7 201646
8 201928
9 202228
10 201228
11 201525
12 201822
13 201320
14 201214
15 201913
16 20229
17 20157
18 20147
19 20253
20 20253

About Jun Tan

Jun Tan is a scholar working on Nutrition and Dietetics, Biomedical Engineering, Sensory Systems, Water Science and Technology and Molecular Biology, having authored 27 papers that have together received 690 indexed citations. Recurring topics across this work include Biochemical Analysis and Sensing Techniques (5 papers), Olfactory and Sensory Function Studies (4 papers), Selenium in Biological Systems (4 papers), Membrane Separation Technologies (3 papers), Advanced Chemical Sensor Technologies (3 papers), Fuel Cells and Related Materials (2 papers), Biodiesel Production and Applications (2 papers) and Trace Elements in Health (2 papers). The work is most often cited by research in Biological Psychiatry (67 citations), Sensory Systems (75 citations), Behavioral Neuroscience (37 citations), Nutrition and Dietetics (141 citations) and Surfaces, Coatings and Films (67 citations). Jun Tan has collaborated with scholars based in China, United States and Malaysia. Frequent co-authors include Alireza Bazargan, Gordon McKay, William A. Goddard, Ravinder Abrol, Gang Hu, Ming Lu, Jianhua Ding, Ren‐Hong Du, Xiyang Sun and Xiaohua Hou. Their work appears in journals such as Food & Function, Biochemical and Biophysical Research Communications, BMC Gastroenterology, Journal of environmental chemical engineering and Biological Trace Element 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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