Ling Wei

971 citations
33 papers · 721 · h-index 16

Impact in

Papers in

Ling Wei

32 papers receiving 713 citations

Peers

Ling Wei
Comparison fields: 5 of 91
  • Physiology 92
  • Cellular and Molecular Neuroscience 202
  • Genetics 220
  • Insect Science 90
  • Molecular Biology 334
Replace Xueyang Pan with:
Xueyang Pan United States
Yu‐Wen Chung‐Davidson United States
Carlos Buesa Spain
Mart H. Mojet United Kingdom
Rong Tao China
Di Chen China
Md Nawajes A. Mandal United States
Dennis Schulster United Kingdom
Takao Inoue United States
Nathalie Duval France
Ling Wei relative to Xueyang Pan United States Xueyang Pan's profile →
Citations per field
00.5×4.4×
Xueyang Pan · 1×
Citations per year

Countries citing papers authored by Ling Wei

Since Specialization
Citations

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

Fields of papers citing papers by Ling Wei

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 33 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201883
2 200479
3 201668
4 200650
5 201250
6 201844
7 200843
8 201441
9 200628
10 200324
11 201023
12 202122
13 201718
14 201416
15 202016
16 202215
17 201614
18 201214
19 201914
20 201411

About Ling Wei

Ling Wei is a scholar working on Molecular Biology, Cellular and Molecular Neuroscience, Genetics, Cognitive Neuroscience and Biomaterials, having authored 33 papers that have together received 721 indexed citations. Recurring topics across this work include Neurobiology and Insect Physiology Research (9 papers), Genetic and Clinical Aspects of Sex Determination and Chromosomal Abnormalities (7 papers), Animal Genetics and Reproduction (5 papers), Silk-based biomaterials and applications (4 papers), Insect and Arachnid Ecology and Behavior (4 papers), Insect Resistance and Genetics (4 papers), Neuroscience and Neuropharmacology Research (3 papers) and Ion channel regulation and function (3 papers). The work is most often cited by research in Physiology (92 citations), Cellular and Molecular Neuroscience (202 citations), Genetics (220 citations), Insect Science (90 citations) and Molecular Biology (334 citations). Ling Wei has collaborated with scholars based in China, United States and Japan. Frequent co-authors include Deshou Wang, Christian T. Sheline, Qingyou Xia, Aizhen Yang, Shan Yu, Chao Yang, Wenliang Qian, Ai Xiao, Wenjing Tao and Daojun Cheng. Their work appears in journals such as Proceedings of the National Academy of Sciences, International Journal of Molecular Sciences, Molecular Biology Reports, Gene and Journal of Pharmacology and Experimental Therapeutics.

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.

Explore authors with similar magnitude of impact