Hang Yu

1.2k total citations
33 papers, 888 citations indexed

About

Hang Yu is a scholar working on Molecular Biology, Cell Biology and Artificial Intelligence. According to data from OpenAlex, Hang Yu has authored 33 papers receiving a total of 888 indexed citations (citations by other indexed papers that have themselves been cited), including 16 papers in Molecular Biology, 7 papers in Cell Biology and 5 papers in Artificial Intelligence. Recurrent topics in Hang Yu's work include Biomedical Text Mining and Ontologies (5 papers), Semantic Web and Ontologies (5 papers) and Cellular transport and secretion (3 papers). Hang Yu is often cited by papers focused on Biomedical Text Mining and Ontologies (5 papers), Semantic Web and Ontologies (5 papers) and Cellular transport and secretion (3 papers). Hang Yu collaborates with scholars based in China, United States and Singapore. Hang Yu's co-authors include Klaus Schulten, Klaus Schulten, Juan R. Perilla, Rafael C. Bernardi, Till Rudack, Bo Liu, C. Keith Cassidy, Boon Chong Goh, Zhe Wu and Wen Ma and has published in prestigious journals such as Nature Communications, The Journal of Chemical Physics and Chemosphere.

In The Last Decade

Hang Yu

33 papers receiving 884 citations

Peers

Hang Yu
Comparison fields: 5 of 118
  • Molecular Biology 475
  • Materials Chemistry 157
  • Cell Biology 118
  • Atomic and Molecular Physics, and Optics 78
  • Biomedical Engineering 74
Replace Eugenia Polverini with:
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Jin Ryoun Kim United States
James Jonkman Canada
Noga Kozer Israel
Wei Gu Germany
Ludovic R. Otterbein United States
Ki H. Kim United States
A. Fasano Italy
Sangita Seshadri United States
Eugenia Polverini Italy View profile →
Citations per field, relative to Hang Yu
Hang Yu · 1×
Citations per year, relative to Hang Yu
Hang Yu · 1×

Countries citing papers authored by Hang Yu

Since Specialization
Citations

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

Fields of papers citing papers by Hang Yu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Hang Yu

This figure shows the co-authorship network connecting the top 25 collaborators of Hang Yu. A scholar is included among the top collaborators of Hang Yu 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 Hang Yu. Hang Yu 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 25
2 9
3 1
4 3
5 1
6 17
7 14
8 1
9 10
10 24
11 17
12 80
13 309
14 47
15
[The influence of rhAng-1 on endothelial junctions of BBB after focal cerebral ischemia/reperfusion in rats].
2
16 94
17 55
18 1
19 10
20 9

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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