Zhanru Yu
Impact in
- Immunology top 10%
- Immune cells in cancer
- Immune Cell Function and Interaction
- Neutrophil, Myeloperoxidase and Oxidative Mechanisms
- Immunotherapy and Immune Responses
Papers in
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- Metabolomics and Mass Spectrometry Studies 3
- Chemical Synthesis and Analysis 2
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- Immune Cell Function and Interaction 2
- Co-authors
- Philip Hublitz (3 shared papers)Thomas Riffelmacher (2 shared papers)Anna Katharina Simon (2 shared papers)Philip D. Charles (4 shared papers)Benedikt M. Kessler (11 shared papers)Dolores Velasco (4 shared papers)Hanlin Zhang (2 shared papers)Holm H. Uhlig (1 shared paper)
- Journals
- Tetrahedron Asymmetry (3 papers)Scientific Reports (2 papers)Talanta (2 papers)Cell Death Discovery (1 paper)Tetrahedron (1 paper)
- Partner nations
- United KingdomSpainGermany
In The Last Decade
Zhanru Yu
21 papers receiving 813 citations
Peers
Comparison fields: 5 of 98
- Immunology 297
- Aging 16
- Biochemistry 49
- Molecular Biology 385
- Epidemiology 178
Countries citing papers authored by Zhanru Yu
This map shows the geographic impact of Zhanru Yu'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 Zhanru Yu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Zhanru Yu more than expected).
Fields of papers citing papers by Zhanru Yu
This network shows the impact of papers produced by Zhanru Yu. 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 Zhanru Yu. The network helps show where Zhanru Yu may publish in the future.
Co-authors
The 25 scholars most cited alongside Zhanru Yu, 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 21 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2019 | 222 | |
| 2 | 2017 | 221 | |
| 3 | 2009 | 68 | |
| 4 | 2018 | 46 | |
| 5 | 2017 | 46 | |
| 6 | 2016 | 37 | |
| 7 | 2019 | 34 | |
| 8 | 1999 | 34 | |
| 9 | 2016 | 26 | |
| 10 | 2020 | 12 | |
| 11 | 2019 | 11 | |
| 12 | 1994 | 10 | |
| 13 | 2016 | 9 | |
| 14 | 1996 | 9 | |
| 15 | 2019 | 7 | |
| 16 | 2023 | 6 | |
| 17 | 2000 | 5 | |
| 18 | 2000 | 4 | |
| 19 | 2011 | 4 | |
| 20 | 2024 | 3 |
About Zhanru Yu
Zhanru Yu is a scholar working on Molecular Biology, Immunology, Organic Chemistry, Cancer Research and Biochemistry, having authored 21 papers that have together received 816 indexed citations. Recurring topics across this work include Metabolomics and Mass Spectrometry Studies (3 papers), Cancer Research and Treatments (2 papers), Analytical Chemistry and Chromatography (2 papers), Chemical Synthesis and Analysis (2 papers), Cannabis and Cannabinoid Research (2 papers), Immune Cell Function and Interaction (2 papers), Amino Acid Enzymes and Metabolism (2 papers) and Synthetic Organic Chemistry Methods (2 papers). The work is most often cited by research in Immunology (297 citations), Aging (16 citations), Biochemistry (49 citations), Molecular Biology (385 citations) and Epidemiology (178 citations). Zhanru Yu has collaborated with scholars based in United Kingdom, Spain and Germany. Frequent co-authors include Philip Hublitz, Thomas Riffelmacher, Anna Katharina Simon, Philip D. Charles, Benedikt M. Kessler, Dolores Velasco, Hanlin Zhang, Holm H. Uhlig, Sten Eirik W. Jacobsen and Alexander J. Clarke. Their work appears in journals such as Tetrahedron Asymmetry, Scientific Reports, Talanta, Cell Death Discovery and Tetrahedron.
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.