Wan-Ping Wang

477 citations
31 papers · 379 · h-index 10

Impact in

Papers in

Wan-Ping Wang

28 papers receiving 370 citations

Peers

Wan-Ping Wang
Comparison fields: 5 of 77
  • Molecular Biology 181
  • Developmental Neuroscience 6
  • Cell Biology 22
  • Environmental Chemistry 11
  • Process Chemistry and Technology 2
Replace Tianbiao Zhang with:
Tianbiao Zhang China
Barbara Küppers-Munther Sweden
Carole Crittenden United States
Aída Arcas Spain
Fangjie Zhu China
Lijuan Zhao China
Zhaoqian Su United States
Almutasem Saleh United Kingdom
Elizabeth M. Boehm United States
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Citations per field
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Citations per year

Countries citing papers authored by Wan-Ping Wang

Since Specialization
Citations

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

Fields of papers citing papers by Wan-Ping Wang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 31 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201463
2 201458
3 201750
4 201531
5 202221
6 202117
7 200912
8 202212
9 200911
10 201410
11 201810
12 202210
13 202410
14 20139
15 20259
16 20228
17 20238
18 20226
19 20195
20 20204

About Wan-Ping Wang

Wan-Ping Wang is a scholar working on Developmental Neuroscience, Molecular Biology, Environmental Chemistry, Pulmonary and Respiratory Medicine and Cell Biology, having authored 31 papers that have together received 379 indexed citations. Recurring topics across this work include Nuclear Structure and Function (3 papers), Microtubule and mitosis dynamics (2 papers), Geotechnical Engineering and Underground Structures (2 papers), Target Tracking and Data Fusion in Sensor Networks (2 papers), Synthesis and biological activity (2 papers), Neurogenesis and neuroplasticity mechanisms (2 papers), Lung Cancer Treatments and Mutations (1 paper) and Chalcogenide Semiconductor Thin Films (1 paper). The work is most often cited by research in Molecular Biology (181 citations), Developmental Neuroscience (6 citations), Cell Biology (22 citations), Environmental Chemistry (11 citations) and Process Chemistry and Technology (2 citations). Wan-Ping Wang has collaborated with scholars based in China, Taiwan and United States. Frequent co-authors include Ya‐Hui Chi, Jingya Wang, Gunn‐Guang Liou, Wen‐Hsin Lin, Xiaoping Yu, Kaikai Shen, Chung‐Shi Yang, Chang‐Heng Tan, Shi‐Jin Qu and Yu‐Ching Chen. Their work appears in journals such as Journal of Environmental Management, Computational Intelligence and Neuroscience, International Dental Journal, Thin Solid Films and European Journal of Medicinal 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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