Wenting Wan

3.7k citations
35 papers · 546 · h-index 13

Impact in

Papers in

    • Lepidoptera: Biology and Taxonomy 3
    • Genetic diversity and population structure 2
    • Genomics and Phylogenetic Studies 7
    • Metabolomics and Mass Spectrometry Studies 2

Wenting Wan

33 papers receiving 528 citations

Peers

Wenting Wan
Comparison fields: 5 of 81
  • Complementary and alternative medicine 78
  • Biochemistry 33
  • Molecular Biology 246
  • Plant Science 129
  • Genetics 83
Replace Won Ho Lee with:
Won Ho Lee South Korea
Bruna da Silva Soley Brazil
Bisheng Huang China
Shu‐Jiau Chiou Taiwan
Wu Bi China
Guemsan Lee South Korea
Xu-Dong Zhou China
Sakineh Kazemi Noureini Iran
Júlio César Nepomuceno Brazil
Niveditha Ramadoss United States
Wenting Wan relative to Won Ho Lee South Korea Won Ho Lee's profile →
Citations per field
00.5×2×4×6×8.5×
Won Ho Lee · 1×
Citations per year

Countries citing papers authored by Wenting Wan

Since Specialization
Citations

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

Fields of papers citing papers by Wenting Wan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 35 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201672
2 201055
3 201648
4 201744
5 201640
6 202031
7 201927
8 201624
9 201524
10 202022
11 201821
12 201818
13 201613
14 202213
15 202011
16 202111
17 20199
18 20249
19 20227
20 20256

About Wenting Wan

Wenting Wan is a scholar working on Genetics, Molecular Biology, Complementary and alternative medicine, Cellular and Molecular Neuroscience and Condensed Matter Physics, having authored 35 papers that have together received 546 indexed citations. Recurring topics across this work include Genomics and Phylogenetic Studies (7 papers), Neurobiology and Insect Physiology Research (4 papers), Lepidoptera: Biology and Taxonomy (3 papers), GaN-based semiconductor devices and materials (3 papers), Fungal Plant Pathogen Control (2 papers), Metabolomics and Mass Spectrometry Studies (2 papers), Tea Polyphenols and Effects (2 papers) and Genetic diversity and population structure (2 papers). The work is most often cited by research in Complementary and alternative medicine (78 citations), Biochemistry (33 citations), Molecular Biology (246 citations), Plant Science (129 citations) and Genetics (83 citations). Wenting Wan has collaborated with scholars based in China, United States and Australia. Frequent co-authors include Lijia Xu, Peigen Xiao, Baoping Jiang, Keping Hu, Liang Le, Wei Zhai, Yang Dong, Le Sun, Wei Zhai and ZHIWEI DONG. Their work appears in journals such as Frontiers in Genetics, Scientific Reports, GigaScience, Clinical Nutrition and PLoS ONE.

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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