Hang Song

558 total citations
20 papers, 447 citations indexed

About

Hang Song is a scholar working on Materials Chemistry, Biomedical Engineering and Electrical and Electronic Engineering. According to data from OpenAlex, Hang Song has authored 20 papers receiving a total of 447 indexed citations (citations by other indexed papers that have themselves been cited), including 11 papers in Materials Chemistry, 8 papers in Biomedical Engineering and 5 papers in Electrical and Electronic Engineering. Recurrent topics in Hang Song's work include Solidification and crystal growth phenomena (6 papers), Nanoplatforms for cancer theranostics (6 papers) and Thin-Film Transistor Technologies (5 papers). Hang Song is often cited by papers focused on Solidification and crystal growth phenomena (6 papers), Nanoplatforms for cancer theranostics (6 papers) and Thin-Film Transistor Technologies (5 papers). Hang Song collaborates with scholars based in United States, China and India. Hang Song's co-authors include James S. Im, V. B. Gupta, Jin Sun, Zhonggui He, Kaiyuan Wang, Na Li, Haotian Zhang, Qiming Kan, Robert S. Sposili and Hyun Jae Kim and has published in prestigious journals such as Applied Physics Letters, Biomaterials and ACS Applied Materials & Interfaces.

In The Last Decade

Hang Song

19 papers receiving 428 citations

Peers

Hang Song
Comparison fields: 5 of 61
  • Biomedical Engineering 227
  • Materials Chemistry 185
  • Biomaterials 121
  • Electrical and Electronic Engineering 121
  • Molecular Biology 104
Replace Justyna Jaczewska with:
Justyna Jaczewska Poland
Jiao Zhai China
Frédérique Mittler France
Erik Robinson United States
Gunnar Glöckl Germany
David E. Bordelon United States
Matthew Landry United States
Stephan Dürr Germany
Weinan Zhang China
Justyna Jaczewska Poland View profile →
Citations per field, relative to Hang Song
Hang Song · 1×
Citations per year, relative to Hang Song
Hang Song · 1×

Countries citing papers authored by Hang Song

Since Specialization
Citations

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

Fields of papers citing papers by Hang Song

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Hang Song

This figure shows the co-authorship network connecting the top 25 collaborators of Hang Song. A scholar is included among the top collaborators of Hang Song 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 Song. Hang Song 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 6
3 1
4 11
5 11
6 141
7 36
8 30
9 43
10 12
11
Inhibition of Corneal Angiogenesis by Topical Administration of VEGF Trap
1
12
Intravitreal Administration of VEGF Trap Suppresses Vascular Leak in the Retinas of Diabetic Rats
1
13
Systemic Administration of VEGF Trap Suppresses Vascular Leak and Leukostasis in the Retinas of Diabetic Rats
3
14 88
15 38
16 1
17 16
18 1
19 4
20 2

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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