Yanjing Wang

2.0k citations
74 papers · 1.3k indexed · h-index 21

Impact in

Papers in

    • Computational Drug Discovery Methods 15
    • Machine Learning in Bioinformatics 8
    • vaccines and immunoinformatics approaches 6
    • Ubiquitin and proteasome pathways 5
    • Protein Structure and Dynamics 4
    • RNA modifications and cancer 4

Yanjing Wang

65 papers receiving 1.3k citations

Peers

Yanjing Wang
Comparison fields: 5 of 133
  • Computational Theory and Mathematics 343
  • Molecular Biology 794
  • Pharmacology 74
  • Cancer Research 112
  • Infectious Diseases 122
Replace Yew Mun Lee with:
Yew Mun Lee Singapore
Aman Chandra Kaushik China
Umashankar Vetrivel India
Kai‐Cheng Hsu Taiwan
Shan Chang China
Keng‐Chang Tsai Taiwan
Edward Price United States
Vijayakumar Gosu South Korea
Qiu Sun China
Xueqing Chen China
Yanjing Wang relative to Yew Mun Lee Singapore Yew Mun Lee's profile →
Citations per field
00.5×1.5×1.8×
Yew Mun Lee · 1×
Citations per year

Countries citing papers authored by Yanjing Wang

Since Specialization
Citations

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

Fields of papers citing papers by Yanjing Wang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

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

All Works

20 of 20 papers shown
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19 202136
20 202064

About Yanjing Wang

Yanjing Wang is a scholar working on Computational Theory and Mathematics, Molecular Biology, Cancer Research, Microbiology and Virology, having authored 74 papers that have together received 1.3k indexed citations. Recurring topics across this work include Computational Drug Discovery Methods (15 papers), Machine Learning in Bioinformatics (8 papers), vaccines and immunoinformatics approaches (6 papers), Ubiquitin and proteasome pathways (5 papers), Bacteriophages and microbial interactions (5 papers), Cancer-related molecular mechanisms research (5 papers), Protein Structure and Dynamics (4 papers) and RNA modifications and cancer (4 papers). The work is most often cited by research in Computational Theory and Mathematics (343 citations), Molecular Biology (794 citations), Pharmacology (74 citations), Cancer Research (112 citations) and Infectious Diseases (122 citations). Yanjing Wang has collaborated with scholars based in China, Pakistan and Canada. Frequent co-authors include Dong‐Qing Wei, Yi Xiong, Yanyi Chu, Qiankun Wang, Qin Xu, Mingming Jiang, Xiangeng Wang, Dennis R. Salahub, Abbas Khan and Yonghong Zhang. Their work appears in journals such as Computers in Biology and Medicine, Briefings in Bioinformatics, International Journal of Molecular Sciences, Journal of Biomolecular Structure and Dynamics and New Journal of Chemistry.

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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