Dan Wei

98 papers receiving 2.5k citations

Hit Papers

Hyaluronan-based hydrogel integrating exosomes for traumatic brain injury repair by promoting angiogenesis and neurogenesis 2023 · 91 citations
912023202620242025255075

Peers

Dan Wei
Comparison fields: 5 of 123
  • Biomaterials 669
  • Molecular Medicine 218
  • Biomedical Engineering 1.3k
  • Cellular and Molecular Neuroscience 359
  • Materials Chemistry 619
Replace Gamze Torun Köse with:
Gamze Torun Köse Türkiye
Bin Wu China
Zhengnan Zhou China
Youngmee Jung South Korea
Silvia Panseri Italy
Long Bai China
Somayeh Ebrahimi‐Barough Iran
Yusuke Arima Japan
Kui Cheng China
Dan Wei relative to Gamze Torun Köse Türkiye Gamze Torun Köse's profile →
Citations per field
00.5×
Gamze Torun Köse · 1×
Citations per year

Countries citing papers authored by Dan Wei

Since Specialization
Citations

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

Fields of papers citing papers by Dan Wei

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 101 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2015132
2 2021124
3 2020120
4
Hyaluronan-based hydrogel integrating exosomes for traumatic brain injury repair by promoting angiogenesis and neurogenesis
Hit paper breakdown →
202391
5 202189
6 201678
7 202070
8 201569
9 202168
10 201767
11 201459
12 202059
13 201956
14 201755
15 201252
16 202345
17 202344
18 202240
19 202039
20 201738

About Dan Wei

Dan Wei is a scholar working on Biomaterials, Metals and Alloys, Biomedical Engineering, Molecular Medicine and Cellular and Molecular Neuroscience, having authored 101 papers that have together received 2.5k indexed citations. Recurring topics across this work include 3D Printing in Biomedical Research (19 papers), Electrospun Nanofibers in Biomedical Applications (18 papers), Advanced Sensor and Energy Harvesting Materials (16 papers), Neuroscience and Neural Engineering (11 papers), Bone Tissue Engineering Materials (11 papers), Nanoplatforms for cancer theranostics (10 papers), Cellular Mechanics and Interactions (10 papers) and Carbon and Quantum Dots Applications (9 papers). The work is most often cited by research in Biomaterials (669 citations), Molecular Medicine (218 citations), Biomedical Engineering (1.3k citations), Cellular and Molecular Neuroscience (359 citations) and Materials Chemistry (619 citations). Dan Wei has collaborated with scholars based in China, United Kingdom and Singapore. Frequent co-authors include Hongsong Fan, Jing Sun, Suping Chen, Chengheng Wu, Xingdong Zhang, Yuda Zhu, Amin Liu, Meiling Zhong, Hongrong Luo and Likun Guo. Their work appears in journals such as Journal of Materials Chemistry B, ACS Applied Materials & Interfaces, Chemical Engineering Journal, Carbohydrate Polymers and Advanced Healthcare Materials.

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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