Long‐Hai Wang

3.2k citations
98 papers · 2.8k · h-index 29

Impact in

Papers in

Long‐Hai Wang

94 papers receiving 2.7k citations

Peers

Long‐Hai Wang
Comparison fields: 5 of 92
  • Molecular Medicine 419
  • Surfaces, Coatings and Films 132
  • Biomaterials 241
  • Rehabilitation 118
  • Surgery 749
Replace Cherie L. Stabler with:
Cherie L. Stabler United States
Jiashing Yu Taiwan
Mar Fernández‐Gutiérrez Spain
Laura Russo Italy
Kongchang Wei China
Volkan Yesilyurt United States
Fotios M. Andreopoulos United States
Isabel Freitas Amaral Portugal
Pengchao Zhao China
Long‐Hai Wang relative to Cherie L. Stabler United States Cherie L. Stabler's profile →
Citations per field
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Citations per year

Countries citing papers authored by Long‐Hai Wang

Since Specialization
Citations

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

Fields of papers citing papers by Long‐Hai Wang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Long‐Hai Wang. 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 Long‐Hai Wang. The network helps show where Long‐Hai Wang may publish in the future.

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 98 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2020198
2 2019174
3 2015143
4 2020139
5 2019132
6 2019108
7 2021104
8 201995
9 201989
10 202175
11 201373
12 201973
13 202169
14 202166
15 201961
16 202058
17 202253
18 201450
19 201745
20 201844

About Long‐Hai Wang

Long‐Hai Wang is a scholar working on Materials Chemistry, Molecular Medicine, Biomedical Engineering, Surgery and Organic Chemistry, having authored 98 papers that have together received 2.8k indexed citations. Recurring topics across this work include Ferroelectric and Piezoelectric Materials (27 papers), Pancreatic function and diabetes (15 papers), RNA Interference and Gene Delivery (11 papers), Advanced Polymer Synthesis and Characterization (9 papers), Hydrogels: synthesis, properties, applications (9 papers), Nanoplatforms for cancer theranostics (8 papers), Tissue Engineering and Regenerative Medicine (8 papers) and Ferroelectric and Negative Capacitance Devices (7 papers). The work is most often cited by research in Molecular Medicine (419 citations), Surfaces, Coatings and Films (132 citations), Biomaterials (241 citations), Rehabilitation (118 citations) and Surgery (749 citations). Long‐Hai Wang has collaborated with scholars based in China, United States and Canada. Frequent co-authors include Minglin Ma, Ye‐Zi You, Alexander Ulrich Ernst, Xi Wang, Chun‐Yan Hong, Decheng Wu, Alan Chiu, Kaavian Shariati, Daniel T. Bowers and Xuan Nie. Their work appears in journals such as Integrated ferroelectrics, Nature Communications, ACS Applied Materials & Interfaces, Advanced Materials and Polymer Chemistry.

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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