Chao Lang

70 papers receiving 1.9k citations

Peers

Chao Lang
Comparison fields: 5 of 148
  • Small Animals 138
  • Biomaterials 197
  • Water Science and Technology 187
  • Molecular Medicine 64
  • Biomedical Engineering 466
Replace Masahiro Yasuda with:
Masahiro Yasuda Japan
Marie‐Hélène Metz‐Boutigue France
Shashi Kant Tiwari India
Parasuraman Padmanabhan Singapore
Francesca Rossi Italy
Henry R. Costantino United States
Mi Li China
Sang‐Joon Park South Korea
Yutaka Yamamoto Japan
Eun‐Mi Kim South Korea
Chao Lang relative to Masahiro Yasuda Japan Masahiro Yasuda's profile →
Citations per field
00.5×1.5×2.4×
Masahiro Yasuda · 1×
Citations per year

Countries citing papers authored by Chao Lang

Since Specialization
Citations

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

Fields of papers citing papers by Chao Lang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 73 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2019146
2 2018126
3 2022111
4 2017100
5 201697
6 201781
7
The effects of pentobarbital, fentanyl-droperidol, ketamine-xylazine and ketamine-diazepam on arterial blood pH, blood gases, mean arterial blood pressure and heart rate in adult male rats.
198781
8 198276
9 200268
10 198867
11 201761
12 201951
13 199849
14 201947
15 201846
16 199640
17 201738
18
An evaluation of three intravenous anesthetic regimens in New Zealand rabbits.
199038
19 201736
20 199634

About Chao Lang

Chao Lang is a scholar working on Organic Chemistry, Molecular Biology, Electrical and Electronic Engineering, Biomedical Engineering and Cellular and Molecular Neuroscience, having authored 73 papers that have together received 2.0k indexed citations. Recurring topics across this work include Molecular Sensors and Ion Detection (8 papers), Supramolecular Chemistry and Complexes (7 papers), Nanopore and Nanochannel Transport Studies (7 papers), Virus-based gene therapy research (6 papers), Supramolecular Self-Assembly in Materials (6 papers), Membrane Separation Technologies (5 papers), Fuel Cells and Related Materials (5 papers) and Neuropeptides and Animal Physiology (4 papers). The work is most often cited by research in Small Animals (138 citations), Biomaterials (197 citations), Water Science and Technology (187 citations), Molecular Medicine (64 citations) and Biomedical Engineering (466 citations). Chao Lang has collaborated with scholars based in United States, China and Canada. Frequent co-authors include Manish Kumar, Robert J. Hickey, James W. Griffith, Woochul Song, Junqiu Liu, Zeyuan Dong, Jiayun Xu, John W. Kreider, Yue-xiao Shen and Xiaoli Deng. Their work appears in journals such as Angewandte Chemie International Edition, Cancer Letters, Giant, Laboratory Animals and Nature Nanotechnology.

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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