Yi‐Yan Yang

10.3k citations
26 papers · 602 · h-index 13

Impact in

Papers in

Yi‐Yan Yang

25 papers receiving 581 citations

Peers

Yi‐Yan Yang
Comparison fields: 5 of 75
  • Biomaterials 51
  • Biomedical Engineering 125
  • Computational Theory and Mathematics 52
  • Pharmaceutical Science 22
  • Molecular Medicine 18
Replace Abdallah S. Abdelsattar with:
Abdallah S. Abdelsattar Egypt
Angela Cesaro United States
Nilakshi Barua Hong Kong
Aijaz Ahmad Malik Thailand
Tariq Nadeem Pakistan
Ana Maria Jimenez Jimenez Czechia
Jonggwan Park South Korea
Avinash Padhi India
Mayukh Ghosh India
Woo‐Ri Shin South Korea
Yi‐Yan Yang relative to Abdallah S. Abdelsattar Egypt Abdallah S. Abdelsattar's profile →
Citations per field
00.5×10×20×30×43×
Abdallah S. Abdelsattar · 1×
Citations per year

Countries citing papers authored by Yi‐Yan Yang

Since Specialization
Citations

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

Fields of papers citing papers by Yi‐Yan Yang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Yi‐Yan Yang. 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 Yi‐Yan Yang. The network helps show where Yi‐Yan Yang may publish in the future.

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 26 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2017139
2 200563
3 202449
4 202045
5 202142
6 201635
7 202433
8 201827
9 201621
10 201621
11 200320
12 202415
13 202014
14 201513
15 202313
16 202312
17 202512
18 20167
19 20256
20 20245

About Yi‐Yan Yang

Yi‐Yan Yang is a scholar working on Molecular Biology, Computational Theory and Mathematics, Infectious Diseases, Ecology and Food Science, having authored 26 papers that have together received 602 indexed citations. Recurring topics across this work include vaccines and immunoinformatics approaches (3 papers), Genomics and Phylogenetic Studies (3 papers), Computational Drug Discovery Methods (3 papers), Microbial Community Ecology and Physiology (2 papers), Influenza Virus Research Studies (2 papers), Gut microbiota and health (2 papers), SARS-CoV-2 and COVID-19 Research (2 papers) and Lung Cancer Treatments and Mutations (1 paper). The work is most often cited by research in Biomaterials (51 citations), Biomedical Engineering (125 citations), Computational Theory and Mathematics (52 citations), Pharmaceutical Science (22 citations) and Molecular Medicine (18 citations). Yi‐Yan Yang has collaborated with scholars based in China, United States and Singapore. Frequent co-authors include Xiaofang Jiang, Andrew Brantley Hall, Yen Wah Tong, Tianyi Qiu, Wei Yan, Jingxuan Qiu, Dingfeng Wu, Kailin Tang, Zhongyu Mou and Yuxing Li. Their work appears in journals such as mSystems, Scientific Reports, The Science of The Total Environment, Molecular Biology and Evolution and Nature Communications.

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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