Runping Wang

1.5k citations
56 papers · 1.2k · h-index 20

Impact in

Papers in

Runping Wang

53 papers receiving 1.2k citations

Peers

Runping Wang
Comparison fields: 5 of 128
  • Filtration and Separation 120
  • Catalysis 168
  • Sensory Systems 64
  • Cellular and Molecular Neuroscience 228
  • Endocrine and Autonomic Systems 73
Replace Gerald F. Russell with:
Gerald F. Russell United States
Taranjeet Kaur India
J. Enrique Cometto‐Muñiz United States
Konrad Kleszczyński Germany
Ning Zhu China
Hideki Okada Japan
Yuwen Shen China
Cédric Przybylski France
Ken Takahashi Japan
Shuang Cui China
Runping Wang relative to Gerald F. Russell United States Gerald F. Russell's profile →
Citations per field
00.5×9.1×
Gerald F. Russell · 1×
Citations per year

Countries citing papers authored by Runping Wang

Since Specialization
Citations

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

Fields of papers citing papers by Runping Wang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 56 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2007156
2 2019125
3 200398
4 200477
5 200960
6 202360
7 201953
8 201652
9 200445
10 201738
11 200138
12 202234
13 201634
14 201831
15 201631
16 202029
17 200125
18 202024
19 201922
20 202219

About Runping Wang

Runping Wang is a scholar working on Molecular Biology, Cellular and Molecular Neuroscience, Filtration and Separation, Catalysis and Ecology, having authored 56 papers that have together received 1.2k indexed citations. Recurring topics across this work include Ion channel regulation and function (12 papers), Ionic liquids properties and applications (8 papers), Chemical and Physical Properties in Aqueous Solutions (8 papers), Cardiac electrophysiology and arrhythmias (5 papers), Neuroscience and Neuropharmacology Research (5 papers), Genomics and Phylogenetic Studies (4 papers), Aquatic life and conservation (3 papers) and Electrochemical Analysis and Applications (3 papers). The work is most often cited by research in Filtration and Separation (120 citations), Catalysis (168 citations), Sensory Systems (64 citations), Cellular and Molecular Neuroscience (228 citations) and Endocrine and Autonomic Systems (73 citations). Runping Wang has collaborated with scholars based in China, United States and South Korea. Frequent co-authors include Zhijian Tan, Chun Jiang, Fenfang Li, Michael J. Welsh, Jianping Wu, Fuxue Chen, Asheebo Rojas, Xueren Wang, Lei Liu and Qian Dong. Their work appears in journals such as Separation and Purification Technology, Marine Genomics, Journal of Biological Chemistry, The FASEB Journal and RSC Advances.

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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