Zhonglan Tang

620 citations
21 papers · 490 indexed · h-index 14
Topics
Electrospun Nanofibers in Biomedical Applications (8 papers)Advanced biosensing and bioanalysis techniques (5 papers)Tissue Engineering and Regenerative Medicine (4 papers)
Partner nations
JapanChinaUnited Kingdom

In The Last Decade

Zhonglan Tang

20 papers receiving 483 citations

Peers

Zhonglan Tang
Comparison fields: 5 of 80
  • Biomedical Engineering 244
  • Biomaterials 179
  • Molecular Biology 111
  • Molecular Medicine 106
  • Surfaces, Coatings and Films 88
Replace Hong Kee Kim with:
Hong Kee Kim South Korea
Jonah A. Kaplan United States
Naizhen Zhou China
Yu Chang Taiwan
Hang Kuen Lau United States
Monika Kluzek Israel
Caroline E. Hansen United States
Ana Catarina Lima Portugal
Martin K. McDermott United States
Jeff Henise United States
Zhonglan Tang relative to Hong Kee Kim South Korea Hong Kee Kim's profile →
Citations per field
00.5×7.4×
Hong Kee Kim · 1×
Citations per year

Countries citing papers authored by Zhonglan Tang

Since Specialization
Citations

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

Fields of papers citing papers by Zhonglan Tang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Zhonglan Tang

This figure shows the co-authorship network connecting the top 25 collaborators of Zhonglan Tang. A scholar is included among the top collaborators of Zhonglan Tang 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 Zhonglan Tang. Zhonglan Tang 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
#WorkIndexed citations
1 0
2 23
3 15
4 1
5 20
6 32
7 3
8 20
9 4
10 8
11 18
12 39
13 54
14 2
15 67
16 48
17 15
18 15
19 17
20 1

About Zhonglan Tang

Zhonglan Tang is a scholar working on Biomaterials, Molecular Medicine and Surfaces, Coatings and Films, having authored 21 papers that have together received 490 indexed citations. Recurring topics across this work include Electrospun Nanofibers in Biomedical Applications (8 papers), Advanced biosensing and bioanalysis techniques (5 papers) and Tissue Engineering and Regenerative Medicine (4 papers). The work is most often cited by research in Molecular Medicine (106 citations), Biomaterials (179 citations) and Surfaces, Coatings and Films (88 citations). Zhonglan Tang has collaborated with scholars based in Japan, China and United Kingdom. Frequent co-authors include Teruo Okano, Yoshikatsu Akiyama, Masayuki Yamato, Mizuo Maeda, Tohru Takarada, Daisuke Miyamoto, Jun Kobayashi, Kazuyoshi Itoga, Yunbing Wang and Anlin Yin. Their work appears in journals such as Biomaterials, Langmuir and Chemical 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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