Weijia Huang

690 citations
52 papers · 419 indexed · h-index 12
Topics
Lung Cancer Treatments and Mutations (9 papers)Lung Cancer Diagnosis and Treatment (8 papers)Cancer-related molecular mechanisms research (4 papers)
Journals
Journal of Biological ChemistrySHILAP Revista de lepidopterologíaScientific Reports
Partner nations
ChinaTaiwanJapan

In The Last Decade

Weijia Huang

40 papers receiving 407 citations

Peers

Weijia Huang
Comparison fields: 5 of 111
  • Molecular Biology 147
  • Oncology 96
  • Pulmonary and Respiratory Medicine 65
  • Genetics 54
  • Surgery 52
Replace Steven T. Elliott with:
Steven T. Elliott United States
Luping Li United States
Gülçin Şımşek Türkiye
Huixia Zhang China
Lishan Zhang China
Salim Demirci Türkiye
D. P. S. SANDHU United Kingdom
Hermine Billard France
Tadashi Kikuchi Japan
Weijia Huang relative to Steven T. Elliott United States Steven T. Elliott's profile →
Citations per field
00.5×10×15×20×23.8×
Steven T. Elliott · 1×
Citations per year

Countries citing papers authored by Weijia Huang

Since Specialization
Citations

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

Fields of papers citing papers by Weijia Huang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Weijia Huang

This figure shows the co-authorship network connecting the top 25 collaborators of Weijia Huang. A scholar is included among the top collaborators of Weijia 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 Weijia Huang. Weijia 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 0
2 2
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4 2
5 11
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7 0
8 17
9 4
10 2
11 15
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13 25
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19
A Study on the Effect of Lifting the Ban on Non-tradable Shares to A Share Market Based on Rational Distributed Lag Model and Accumulative Effect Model
0
20 3

About Weijia Huang

Weijia Huang is a scholar working on Microbiology, Pulmonary and Respiratory Medicine and Cancer Research, having authored 52 papers that have together received 419 indexed citations. Recurring topics across this work include Lung Cancer Treatments and Mutations (9 papers), Lung Cancer Diagnosis and Treatment (8 papers) and Cancer-related molecular mechanisms research (4 papers). The work is most often cited by research in Oncology (96 citations), Cancer Research (39 citations) and Emergency Medicine (21 citations). Weijia Huang has collaborated with scholars based in China, Taiwan and Japan. Frequent co-authors include Kun‐Yi Chien, Wenzhi Wu, Junqiang Chen, Jiwen Cheng, Yihuan Luo, Deyun Liu, Chengyang Li, Chunhuan He, Yuheng Zhang and Ce Bian. Their work appears in journals such as Journal of Biological Chemistry, SHILAP Revista de lepidopterología and Scientific Reports.

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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