Runming Wang

2.9k citations
41 papers · 2.1k · h-index 24

Impact in

Papers in

Runming Wang

40 papers receiving 2.1k citations

Peers

Runming Wang
Comparison fields: 5 of 112
  • Renewable Energy, Sustainability and the Environment 703
  • Molecular Medicine 205
  • Materials Chemistry 785
  • Organic Chemistry 299
  • Virology 42
Replace Tomasz Gośliński with:
Tomasz Gośliński Poland
Rohan Dhiman India
Vivek Mishra India
Sin‐Yeang Teow Malaysia
Hamed Nosrati Iran
Krzysztof Szczubiałka Poland
Xiaofei Liang China
Zhiyong Song China
Yu Xia China
Amaresh Kumar Sahoo India
Runming Wang relative to Tomasz Gośliński Poland Tomasz Gośliński's profile →
Citations per field
00.5×
Tomasz Gośliński · 1×
Citations per year

Countries citing papers authored by Runming Wang

Since Specialization
Citations

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

Fields of papers citing papers by Runming Wang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 41 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2013205
2 2018193
3 2020150
4 2012127
5 2014123
6 2014119
7 2013110
8 2020107
9 201985
10 201882
11 201378
12 201971
13 201770
14 201259
15 200153
16 202252
17 202247
18 202346
19 202139
20 201838

About Runming Wang

Runming Wang is a scholar working on Molecular Biology, Electrical and Electronic Engineering, Materials Chemistry, Oncology and Renewable Energy, Sustainability and the Environment, having authored 41 papers that have together received 2.1k indexed citations. Recurring topics across this work include Gas Sensing Nanomaterials and Sensors (9 papers), Advanced Photocatalysis Techniques (7 papers), Antibiotic Resistance in Bacteria (6 papers), Peptidase Inhibition and Analysis (4 papers), Bacterial biofilms and quorum sensing (4 papers), Copper-based nanomaterials and applications (4 papers), Pneumocystis jirovecii pneumonia detection and treatment (4 papers) and Nanoplatforms for cancer theranostics (4 papers). The work is most often cited by research in Renewable Energy, Sustainability and the Environment (703 citations), Molecular Medicine (205 citations), Materials Chemistry (785 citations), Organic Chemistry (299 citations) and Virology (42 citations). Runming Wang has collaborated with scholars based in China, Hong Kong and United States. Frequent co-authors include Hongzhe Sun, Rong Chen, Hongyan Li, Fan Qin, Guangfang Li, Huiping Zhao, Fan Tian, Pak‐Leung Ho, Gang Cheng and Jinyan Xiong. Their work appears in journals such as Chemical Science, Nature Communications, PLoS Biology, Chemical Engineering Journal and Acta Pharmaceutica Sinica B.

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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