Jingye Wang
Impact in
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- Metabolomics and Mass Spectrometry Studies
- Gene expression and cancer classification
- Gut microbiota and health
- Bioinformatics and Genomic Networks
- RNA modifications and cancer
Papers in
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- Metabolomics and Mass Spectrometry Studies 6
- Circular RNAs in diseases 3
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- Thermal properties of materials 3
- Co-authors
- Runmin Wei (9 shared papers)Tianlu Chen (5 shared papers)Erik Jia (2 shared papers)Yan Ni (2 shared papers)Mingming Su (2 shared papers)Shaoqiu Chen (1 shared paper)Wei Jia (7 shared papers)Wei Gao (3 shared papers)
- Journals
- Scientific Reports (2 papers)PeerJ (2 papers)ACS Applied Materials & Interfaces (1 paper)BMC Medicine (1 paper)Applied Thermal Engineering (1 paper)
- Partner nations
- ChinaUnited StatesGermany
In The Last Decade
Jingye Wang
28 papers receiving 1.1k citations
Jingye Wang's Hit Papers
Peers
Comparison fields: 5 of 140
- Horticulture 7
- Molecular Biology 451
- Cancer Research 87
- Biological Psychiatry 14
- Spectroscopy 83
Countries citing papers authored by Jingye Wang
This map shows the geographic impact of Jingye 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 Jingye Wang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jingye Wang more than expected).
Fields of papers citing papers by Jingye Wang
This network shows the impact of papers produced by Jingye 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 Jingye Wang. The network helps show where Jingye Wang may publish in the future.
Co-authors
The 25 scholars most cited alongside Jingye Wang, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 30 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | Missing Value Imputation Approach for Mass Spectrometry-based Metabolomics Data Hit paper breakdown → | 2018 | 463 |
| 2 | 2018 | 124 | |
| 3 | 2017 | 90 | |
| 4 | 2018 | 71 | |
| 5 | 2019 | 48 | |
| 6 | 2021 | 46 | |
| 7 | 2020 | 36 | |
| 8 | 2020 | 32 | |
| 9 | 2018 | 30 | |
| 10 | 2022 | 26 | |
| 11 | 2020 | 26 | |
| 12 | 2018 | 18 | |
| 13 | 2023 | 10 | |
| 14 | 2023 | 8 | |
| 15 | 2019 | 7 | |
| 16 | 2022 | 6 | |
| 17 | 2019 | 6 | |
| 18 | 2023 | 5 | |
| 19 | 2011 | 5 | |
| 20 | 2023 | 4 |
About Jingye Wang
Jingye Wang is a scholar working on Molecular Biology, Materials Chemistry, Mechanics of Materials, Cancer Research and Ecology, having authored 30 papers that have together received 1.1k indexed citations. Recurring topics across this work include Metabolomics and Mass Spectrometry Studies (6 papers), Adhesion, Friction, and Surface Interactions (3 papers), Thermal properties of materials (3 papers), Cancer-related molecular mechanisms research (3 papers), Circular RNAs in diseases (3 papers), Atmospheric Ozone and Climate (2 papers), Atmospheric chemistry and aerosols (2 papers) and Postharvest Quality and Shelf Life Management (2 papers). The work is most often cited by research in Horticulture (7 citations), Molecular Biology (451 citations), Cancer Research (87 citations), Biological Psychiatry (14 citations) and Spectroscopy (83 citations). Jingye Wang has collaborated with scholars based in China, United States and Germany. Frequent co-authors include Runmin Wei, Tianlu Chen, Erik Jia, Yan Ni, Mingming Su, Shaoqiu Chen, Wei Jia, Wei Gao, Chunlu Qian and Xuehao Chen. Their work appears in journals such as Scientific Reports, PeerJ, ACS Applied Materials & Interfaces, BMC Medicine and Applied Thermal Engineering.
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.