Lingjun Ma

729 citations
28 papers · 536 · h-index 12

Impact in

Papers in

Lingjun Ma

26 papers receiving 527 citations

Peers

Lingjun Ma
Comparison fields: 5 of 84
  • Biochemistry 91
  • Food Science 137
  • Pathology and Forensic Medicine 108
  • Cancer Research 84
  • Oncology 120
Replace Chandraprabha Murali with:
Chandraprabha Murali United Arab Emirates
D Prathiba India
Irene Herbacek Austria
Bao‐Hui Cheng China
Soo‐Im Choi South Korea
Shenghui Liu China
Shikha Srivastava India
Jumin Huang Macao
Kwok Nam Leung Hong Kong
Ji Hye Jeong South Korea
Lingjun Ma relative to Chandraprabha Murali United Arab Emirates Chandraprabha Murali's profile →
Citations per field
00.5×
Chandraprabha Murali · 1×
Citations per year

Countries citing papers authored by Lingjun Ma

Since Specialization
Citations

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

Fields of papers citing papers by Lingjun Ma

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 28 papers — load more, or switch the sort, to bring in the rest.

#Work
1 1992178
2 202149
3 202341
4 201837
5 200830
6 202223
7 202223
8 199219
9 202417
10 202016
11 202215
12 202313
13 202210
14 202410
15 20248
16 20228
17 20238
18 20237
19 20254
20 20224

About Lingjun Ma

Lingjun Ma is a scholar working on Molecular Biology, Biochemistry, Food Science, Pathology and Forensic Medicine and Nutrition and Dietetics, having authored 28 papers that have together received 536 indexed citations. Recurring topics across this work include Phytochemicals and Antioxidant Activities (8 papers), Tea Polyphenols and Effects (6 papers), Fermentation and Sensory Analysis (5 papers), Oral Health Pathology and Treatment (3 papers), Horticultural and Viticultural Research (2 papers), Food Quality and Safety Studies (2 papers), Biochemical Analysis and Sensing Techniques (2 papers) and Free Radicals and Antioxidants (2 papers). The work is most often cited by research in Biochemistry (91 citations), Food Science (137 citations), Pathology and Forensic Medicine (108 citations), Cancer Research (84 citations) and Oncology (120 citations). Lingjun Ma has collaborated with scholars based in China, Spain and United States. Frequent co-authors include Norman F. Boyd, Junfu Ji, Simon Allan, Wedad Hanna, E Fishell, Xiao Hu, Andrew L. Waterhouse, Fang Chen, Jianbo Xiao and Fang Chen. Their work appears in journals such as Food Bioscience, Food Research International, Parasitology Research, Critical Reviews in Food Science and Nutrition and Journal of Agricultural and Food Chemistry.

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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