Q. Wang
Impact in
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- Particle physics theoretical and experimental studies
- Dark Matter and Cosmic Phenomena
- High-Energy Particle Collisions Research
- Particle Detector Development and Performance
- Quantum Chromodynamics and Particle Interactions
- Genetics top 10%
- Genomic variations and chromosomal abnormalities
Papers in
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- Particle physics theoretical and experimental studies 75
- High-Energy Particle Collisions Research 7
- Particle Detector Development and Performance 6
- Genetics 1
- Genomic variations and chromosomal abnormalities 1
Q. Wang
85 papers receiving 4.6k citations
Q. Wang's Hit Papers
Peers
Comparison fields: 5 of 96
- Nuclear and High Energy Physics 4.5k
- Genetics 275
- Molecular Biology 381
- Plant Science 160
- Astronomy and Astrophysics 44
Countries citing papers authored by Q. Wang
This map shows the geographic impact of Q. 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 Q. Wang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Q. Wang more than expected).
Fields of papers citing papers by Q. Wang
This network shows the impact of papers produced by Q. 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 Q. Wang. The network helps show where Q. Wang may publish in the future.
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All Works
Showing the 20 most-cited of 85 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | The DNA sequence of human chromosome 22 Hit paper breakdown → | 1999 | 834 |
| 2 | Combined measurements of Higgs boson production and decay using up to 80 fb − 1 of proton-proton collision data at s = 13 TeV collected with the ATLAS experiment Hit paper breakdown → | 2020 | 364 |
| 3 | ATLAS b-jet identification performance and efficiency measurement with $$t{\bar{t}}$$ events in pp collisions at $$\sqrt{s}=13$$ TeV Hit paper breakdown → | 2019 | 250 |
| 4 | 2017 | 228 | |
| 5 | Performance of electron and photon triggers in ATLAS during LHC Run 2 Hit paper breakdown → | 2020 | 219 |
| 6 | Muon reconstruction and identification efficiency in ATLAS using the full Run 2 pp collision data set at $$\sqrt{s}=13$$ TeV Hit paper breakdown → | 2021 | 209 |
| 7 | Jet energy scale and resolution measured in proton–proton collisions at $$\sqrt{s}=13$$ TeV with the ATLAS detector Hit paper breakdown → | 2021 | 195 |
| 8 | 2017 | 154 | |
| 9 | 2020 | 154 | |
| 10 | 2018 | 129 | |
| 11 | 2018 | 100 | |
| 12 | 2017 | 96 | |
| 13 | 2021 | 81 | |
| 14 | 2018 | 78 | |
| 15 | 2021 | 78 | |
| 16 | 2020 | 74 | |
| 17 | 2020 | 66 | |
| 18 | 2021 | 66 | |
| 19 | 2018 | 63 | |
| 20 | 2021 | 63 |
About Q. Wang
Q. Wang is a scholar working on Nuclear and High Energy Physics, Genetics, Plant Science, Molecular Biology and Nuclear Energy and Engineering, having authored 85 papers that have together received 5.4k indexed citations. Recurring topics across this work include Particle physics theoretical and experimental studies (75 papers), High-Energy Particle Collisions Research (7 papers), Particle Detector Development and Performance (6 papers), Genomic variations and chromosomal abnormalities (1 paper), Chromosomal and Genetic Variations (1 paper) and Genomics and Phylogenetic Studies (1 paper). The work is most often cited by research in Nuclear and High Energy Physics (4.5k citations), Genetics (275 citations), Molecular Biology (381 citations), Plant Science (160 citations) and Astronomy and Astrophysics (44 citations). Q. Wang has collaborated with scholars based in France, Switzerland and Australia. Their work appears in journals such as Journal of High Energy Physics, The European Physical Journal C, Physical review. D, Physics Letters B and Physical Review Letters.
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.