Weihua Wan

810 citations
37 papers · 574 · h-index 16

Impact in

Papers in

Weihua Wan

36 papers receiving 543 citations

Peers

Weihua Wan
Comparison fields: 5 of 63
  • Pathology and Forensic Medicine 76
  • Oncology 113
  • Pulmonary and Respiratory Medicine 129
  • Automotive Engineering 51
  • Organic Chemistry 113
Replace Yangfan Zhou with:
Yangfan Zhou China
Xinmiao Yu China
Jiangdong Chen China
Mengbin Li China
Yaqiong Zhang China
Guodong Ye China
L. Meng China
Dongbo Guo China
Jan Liu Germany
Zhihua Wu China
Weihua Wan relative to Yangfan Zhou China Yangfan Zhou's profile →
Citations per field
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Yangfan Zhou · 1×
Citations per year

Countries citing papers authored by Weihua Wan

Since Specialization
Citations

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

Fields of papers citing papers by Weihua Wan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 37 papers — load more, or switch the sort, to bring in the rest.

#Work
1 200585
2 201160
3 201038
4 201132
5 201232
6 202130
7 201129
8 202127
9 201027
10 202023
11 202019
12 201118
13 201917
14 202016
15 201716
16 201715
17 201514
18 20188
19 20188
20 20228

About Weihua Wan

Weihua Wan is a scholar working on Electrical and Electronic Engineering, Molecular Biology, Automotive Engineering, Pulmonary and Respiratory Medicine and Oncology, having authored 37 papers that have together received 574 indexed citations. Recurring topics across this work include Advancements in Battery Materials (22 papers), Advanced Battery Materials and Technologies (20 papers), Advanced Battery Technologies Research (9 papers), Lung Cancer Treatments and Mutations (9 papers), Cancer therapeutics and mechanisms (8 papers), Advanced battery technologies research (6 papers), Supercapacitor Materials and Fabrication (6 papers) and Neuroblastoma Research and Treatments (5 papers). The work is most often cited by research in Pathology and Forensic Medicine (76 citations), Oncology (113 citations), Pulmonary and Respiratory Medicine (129 citations), Automotive Engineering (51 citations) and Organic Chemistry (113 citations). Weihua Wan has collaborated with scholars based in China, United States and Italy. Frequent co-authors include Mangeng Cheng, Thelma S. Angeles, Bruce D. Dorsey, Mark S. Albom, Matthew R. Quail, Mark A. Ator, Lihui Lü, Bruce Ruggeri, Xingbao Zhu and Zhe Lü. Their work appears in journals such as Materials Letters, Journal of Medicinal Chemistry, International Journal of Hydrogen Energy, Journal of The Electrochemical Society and Electrochimica Acta.

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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