Dawei Xu
- Aging top 1%
- Physiology top 0.5%
- Telomeres, Telomerase, and Senescence 59
- Biotechnology top 0.5%
- Cancer Research and Treatments 13
- Cancer Research top 2%
- Molecular Biology top 1%
- Epigenetics and DNA Methylation 39
- Advanced biosensing and bioanalysis techniques 19
- RNA Interference and Gene Delivery 14
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- Galaxies: Formation, Evolution, Phenomena 25
- Astrophysical Phenomena and Observations 25
- Gamma-ray bursts and supernovae 13
- Co-authors
- Magnus BjörkholmAstrid GruberXiaotian YuanCatharina LarssonS. KomossaMi HouPavel PisaJihui Jia
- Cited by
- AgingPhysiologyBiotechnology
- Partner nations
- SwedenChinaUnited States
In The Last Decade
Dawei Xu
201 papers receiving 8.6k citations
Hit Papers
Peers
Comparison fields: 5 of 147
- Aging 243
- Physiology 2.4k
- Biotechnology 618
- Cancer Research 958
- Molecular Biology 4.3k
Countries citing papers authored by Dawei Xu
This map shows the geographic impact of Dawei Xu'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 Dawei Xu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Dawei Xu more than expected).
Fields of papers citing papers by Dawei Xu
This network shows the impact of papers produced by Dawei Xu. 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 Dawei Xu. The network helps show where Dawei Xu may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Dawei Xu, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2024 | 2 | |
| 2 | 2022 | 8 | |
| 3 | 2022 | 7 | |
| 4 | 2021 | 6 | |
| 5 | 2021 | 5 | |
| 6 | 2020 | 16 | |
| 7 | 2020 | 23 | |
| 8 | 2020 | 6 | |
| 9 | 2019 | 4 | |
| 10 | 2019 | 49 | |
| 11 | 2018 | 41 | |
| 12 | 2018 | 16 | |
| 13 | 2017 | 112 | |
| 14 | 2016 | 8 | |
| 15 | 2016 | 50 | |
| 16 | XMM-Newton observations of the narrow-line Seyfert 1 galaxy Mrk 335 in a historical low X-ray flux state | 2015 | 18 |
| 17 | 2014 | 65 | |
| 18 | 2013 | 37 | |
| 19 | 2007 | 35 | |
| 20 | Seven ROSAT sources identified as cataclysmic variables. | 1998 | 1 |
About Dawei Xu
Dawei Xu is a scholar working on Physiology, Aging, Astronomy and Astrophysics, Molecular Biology and Biotechnology, having authored 207 papers that have together received 8.7k indexed citations. Recurring topics across this work include Telomeres, Telomerase, and Senescence (59 papers), Epigenetics and DNA Methylation (39 papers), Galaxies: Formation, Evolution, Phenomena (25 papers), Astrophysical Phenomena and Observations (25 papers), Advanced biosensing and bioanalysis techniques (19 papers), RNA Interference and Gene Delivery (14 papers), Cancer Research and Treatments (13 papers) and Gamma-ray bursts and supernovae (13 papers). The work is most often cited by research in Aging (243 citations), Physiology (2.4k citations), Biotechnology (618 citations), Cancer Research (958 citations) and Molecular Biology (4.3k citations). Dawei Xu has collaborated with scholars based in Sweden, China and United States. Frequent co-authors include Magnus Björkholm, Astrid Gruber, Xiaotian Yuan, Catharina Larsson, S. Komossa, Mi Hou, Pavel Pisa, Jihui Jia, Tiantian Liu and Robert Hromas. Their work appears in journals such as The Astrophysical Journal, Oncotarget, Oncogene, British Journal of Cancer and Biochemical and Biophysical Research Communications.
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.