Ji Wang

1.6k citations
64 papers · 1.2k · h-index 21

Impact in

Papers in

    • Cancer-related gene regulation 5
    • Metabolomics and Mass Spectrometry Studies 5
    • Genomics, phytochemicals, and oxidative stress 5
    • Kruppel-like factors research 4
    • Gut microbiota and health 4
    • PI3K/AKT/mTOR signaling in cancer 3
    • Diet and metabolism studies 5

Ji Wang

58 papers receiving 1.2k citations

Peers

Ji Wang
Comparison fields: 5 of 120
  • Molecular Biology 594
  • Nutrition and Dietetics 129
  • Physiology 216
  • Orthopedics and Sports Medicine 70
  • Cancer Research 121
Replace Liang Wu with:
Liang Wu China
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Kexin Wang China
Huan Yao China
Odile Gabay United States
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Ji Wang relative to Liang Wu China Liang Wu's profile →
Citations per field
00.5×2.9×
Liang Wu · 1×
Citations per year

Countries citing papers authored by Ji Wang

Since Specialization
Citations

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

Fields of papers citing papers by Ji Wang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 64 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2013117
2 200771
3 200666
4 201265
5 201053
6 202249
7 202148
8 201348
9 201944
10 201743
11 201343
12 202242
13
Production of Arachidonic Acid by Mortierella alpina I49-N18
200239
14 201334
15 201434
16 202231
17 202229
18 201627
19 201723
20 201621

About Ji Wang

Ji Wang is a scholar working on Molecular Biology, Physiology, Nutrition and Dietetics, Plant Science and Endocrine and Autonomic Systems, having authored 64 papers that have together received 1.2k indexed citations. Recurring topics across this work include Fatty Acid Research and Health (5 papers), Cancer-related gene regulation (5 papers), Diet and metabolism studies (5 papers), Metabolomics and Mass Spectrometry Studies (5 papers), Genomics, phytochemicals, and oxidative stress (5 papers), Kruppel-like factors research (4 papers), Gut microbiota and health (4 papers) and PI3K/AKT/mTOR signaling in cancer (3 papers). The work is most often cited by research in Molecular Biology (594 citations), Nutrition and Dietetics (129 citations), Physiology (216 citations), Orthopedics and Sports Medicine (70 citations) and Cancer Research (121 citations). Ji Wang has collaborated with scholars based in China, United States and Australia. Frequent co-authors include Tony Hunter, Yan Xia, Lixin Wen, Zhihang Yuan, Jing Wu, X. Edward Guo, Zhimin Lu, Jine Yi, W.K. Alfred Yung and Chenglin Yang. Their work appears in journals such as Journal of Agricultural and Food Chemistry, Scientific Reports, International Journal of Biological Macromolecules, Food & Function and Toxins.

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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