Hailan Yao

2.5k total citations
50 papers, 2.0k citations indexed

About

Hailan Yao is a scholar working on Molecular Biology, Cardiology and Cardiovascular Medicine and Immunology. According to data from OpenAlex, Hailan Yao has authored 50 papers receiving a total of 2.0k indexed citations (citations by other indexed papers that have themselves been cited), including 19 papers in Molecular Biology, 14 papers in Cardiology and Cardiovascular Medicine and 10 papers in Immunology. Recurrent topics in Hailan Yao's work include Viral Infections and Immunology Research (12 papers), Cytomegalovirus and herpesvirus research (7 papers) and interferon and immune responses (6 papers). Hailan Yao is often cited by papers focused on Viral Infections and Immunology Research (12 papers), Cytomegalovirus and herpesvirus research (7 papers) and interferon and immune responses (6 papers). Hailan Yao collaborates with scholars based in China, United States and United Kingdom. Hailan Yao's co-authors include Yizheng Wang, Kechun Zhou, Wanlu Du, Yichang Jia, Kailai Sun, Michael Mullan, Yi Guan, Zhewei Liu, Junbo Huang and Chao Yan and has published in prestigious journals such as Journal of Biological Chemistry, Journal of Clinical Investigation and Nature Neuroscience.

In The Last Decade

Hailan Yao

49 papers receiving 1.9k citations

Peers

Hailan Yao
Comparison fields: 5 of 122
  • Molecular Biology 1.0k
  • Infectious Diseases 437
  • Biomedical Engineering 327
  • Sensory Systems 295
  • Cancer Research 276
Replace Lian He with:
Lian He China
Katleen Lemaire Belgium
K. Dharmsathaphorn United States
Yasuko Kato Japan
Morven Graham United States
Karthik Mallilankaraman United States
James M. Vann United States
Anja Voigt Germany
Yun‐Min Zheng United States
Isabel Romero‐Calvo Spain
Lian He China View profile →
Citations per field, relative to Hailan Yao
Hailan Yao · 1×
Citations per year, relative to Hailan Yao
Hailan Yao · 1×

Countries citing papers authored by Hailan Yao

Since Specialization
Citations

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

Fields of papers citing papers by Hailan Yao

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Hailan Yao

This figure shows the co-authorship network connecting the top 25 collaborators of Hailan Yao. A scholar is included among the top collaborators of Hailan Yao 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 Hailan Yao. Hailan Yao 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
# Work Indexed citations
1 1
2 0
3 1
4 2
5 1
6 5
7 3
8 34
9 11
10 375
11 2
12 77
13 21
14 91
15 78
16 10
17 30
18 112
19 91
20 30

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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