Tie-Jun Ling

2.7k citations
55 papers · 2.1k · h-index 26

Impact in

Papers in

Tie-Jun Ling

53 papers receiving 2.1k citations

Peers

Tie-Jun Ling
Comparison fields: 5 of 110
  • Biochemistry 614
  • Pathology and Forensic Medicine 1.3k
  • Biological Psychiatry 161
  • Food Science 769
  • Applied Microbiology and Biotechnology 51
Replace Guan‐Hu Bao with:
Guan‐Hu Bao China
Ashu Gulati India
Lucy Sun Hwang Taiwan
Fumio Nanjo Japan
Chih‐Yu Lo Taiwan
Paolo Simonetti Italy
Puming He China
Claudio Gardana Italy
Andreas R. Rechner United Kingdom
Qunhua Peng China
Tie-Jun Ling relative to Guan‐Hu Bao China Guan‐Hu Bao's profile →
Citations per field
00.5×1.5×
Guan‐Hu Bao · 1×
Citations per year

Countries citing papers authored by Tie-Jun Ling

Since Specialization
Citations

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

Fields of papers citing papers by Tie-Jun Ling

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 55 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2018191
2 2013184
3 2020141
4 2014120
5 2019103
6 201694
7 201083
8 201574
9 201871
10 201069
11 201468
12 201363
13 202057
14 201552
15 202045
16 201245
17 201744
18 202243
19 201742
20 201242

About Tie-Jun Ling

Tie-Jun Ling is a scholar working on Pathology and Forensic Medicine, Molecular Biology, Biochemistry, Food Science and Plant Science, having authored 55 papers that have together received 2.1k indexed citations. Recurring topics across this work include Tea Polyphenols and Effects (34 papers), Phytochemicals and Antioxidant Activities (15 papers), Food Quality and Safety Studies (8 papers), Metabolomics and Mass Spectrometry Studies (8 papers), Natural product bioactivities and synthesis (7 papers), Phytochemistry and Biological Activities (6 papers), Fermentation and Sensory Analysis (6 papers) and Alzheimer's disease research and treatments (5 papers). The work is most often cited by research in Biochemistry (614 citations), Pathology and Forensic Medicine (1.3k citations), Biological Psychiatry (161 citations), Food Science (769 citations) and Applied Microbiology and Biotechnology (51 citations). Tie-Jun Ling has collaborated with scholars based in China, United States and Kazakhstan. Frequent co-authors include Xiaochun Wan, Zhengzhu Zhang, Guan‐Hu Bao, Liang Zhang, Daxiang Li, Yijun Wang, Yibin Zhou, Tao Xia, Chi‐Tang Ho and Henry J. Thompson. Their work appears in journals such as Journal of Agricultural and Food Chemistry, Molecules, Food Chemistry, Food Research International and Frontiers in Plant Science.

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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