Wei Huang

28.0k citations
211 papers · 6.6k indexed · 2 hit papers · h-index 43
Topics
Plant Molecular Biology Research (19 papers)Genetic Associations and Epidemiology (15 papers)Nutrition, Genetics, and Disease (14 papers)

In The Last Decade

Wei Huang

206 papers receiving 6.4k citations

Hit Papers

KCNQ1 Gain-of-Function Mutation in Familial Atrial Fibril...200320262010201820032007200400600

Peers

Wei Huang
Comparison fields: 5 of 162
  • Molecular Biology 3.4k
  • Genetics 1.5k
  • Plant Science 888
  • Cardiology and Cardiovascular Medicine 802
  • Immunology 628
Replace Bing Yu with:
Bing Yu China
Gethin Thomas Australia
Masatoshi Nomura Japan
Long Jin China
William J. Pavan United States
Mark Lathrop France
Naomi Nakagata Japan
J. Weissenbach France
Manfred Gessler Germany
Choy‐Pik Chiu United States
Wei Huang relative to Bing Yu China Bing Yu's profile →
Citations per field
00.5×10×
Bing Yu · 1×
Citations per year

Countries citing papers authored by Wei Huang

Since Specialization
Citations

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

Fields of papers citing papers by Wei Huang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Wei Huang

This figure shows the co-authorship network connecting the top 25 collaborators of Wei Huang. A scholar is included among the top collaborators of Wei Huang based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Wei Huang. Wei Huang is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
#WorkIndexed citations
1 1
2 0
3 2
4 10
5 1
6 4
7 0
8 2
9 6
10 16
11 13
12 8
13 31
14 1
15 396
16 31
17 11
18
A Genome–Wide Screen for Pathological Myopia Suggests a Novel Locus on Chromosome 15q12–13
1
19 8
20
KCNQ1 Gain-of-Function Mutation in Familial Atrial Fibrillationbreakdown →
702

About Wei Huang

Wei Huang is a scholar working on Genetics, Molecular Biology and Animal Science and Zoology, having authored 211 papers that have together received 6.6k indexed citations. Recurring topics across this work include Plant Molecular Biology Research (19 papers), Genetic Associations and Epidemiology (15 papers) and Nutrition, Genetics, and Disease (14 papers). The work is most often cited by research in Genetics (1.5k citations), Molecular Biology (3.4k citations) and Cancer Research (558 citations). Wei Huang has collaborated with scholars based in China, United States and Singapore. Frequent co-authors include Jin Li, Pablo Pérez-García, Alexandra Pokhilko, Andrew J. Millar, Igor Antoshechkin, Paloma Más, José Luis Riechmann, Ji Qian, Shi-Jie Xu and Zhu Chen. Their work appears in journals such as Science, Proceedings of the National Academy of Sciences and Nucleic Acids Research.

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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