Huawei Xin
Impact in
- Aging top 2%
- Genetics, Aging, and Longevity in Model Organisms
- Physiology top 2%
- Telomeres, Telomerase, and Senescence
Papers in
-
- Natural product bioactivities and synthesis 3
- CRISPR and Genetic Engineering 3
- DNA Repair Mechanisms 2
- Ubiquitin and proteasome pathways 2
-
- Telomeres, Telomerase, and Senescence 6
- Co-authors
- Zhou Songyang (5 shared papers)Dan Liu (3 shared papers)Matthew S. O’Connor (2 shared papers)Ma Wan (2 shared papers)Hyeung Kim (2 shared papers)Dan Liu (2 shared papers)Yulei Cui (10 shared papers)Wen Sun (1 shared paper)
- Journals
- Industrial Crops and Products (3 papers)Food Bioscience (2 papers)Cell Reports (1 paper)Cellular Microbiology (1 paper)Physiologia Plantarum (1 paper)
- Partner nations
- ChinaUnited StatesFrance
In The Last Decade
Huawei Xin
28 papers receiving 1.7k citations
Peers
Comparison fields: 5 of 105
- Aging 149
- Physiology 748
- Molecular Biology 1.2k
- Complementary and alternative medicine 77
- Biotechnology 73
Countries citing papers authored by Huawei Xin
This map shows the geographic impact of Huawei Xin'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 Huawei Xin with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Huawei Xin more than expected).
Fields of papers citing papers by Huawei Xin
This network shows the impact of papers produced by Huawei Xin. 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 Huawei Xin. The network helps show where Huawei Xin may publish in the future.
Co-authors
The 25 scholars most cited alongside Huawei Xin, 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 | 2007 | 368 | |
| 2 | 2008 | 350 | |
| 3 | 2006 | 194 | |
| 4 | 2008 | 167 | |
| 5 | 2009 | 105 | |
| 6 | 2022 | 80 | |
| 7 | 2023 | 55 | |
| 8 | 2004 | 54 | |
| 9 | 2016 | 52 | |
| 10 | 2004 | 49 | |
| 11 | 2020 | 42 | |
| 12 | 2022 | 32 | |
| 13 | 2023 | 30 | |
| 14 | 2020 | 30 | |
| 15 | 2017 | 21 | |
| 16 | 2021 | 17 | |
| 17 | 2022 | 10 | |
| 18 | 2019 | 9 | |
| 19 | 2011 | 9 | |
| 20 | 2018 | 8 |
About Huawei Xin
Huawei Xin is a scholar working on Molecular Biology, Physiology, Complementary and alternative medicine, Nutrition and Dietetics and Plant Science, having authored 30 papers that have together received 1.7k indexed citations. Recurring topics across this work include Telomeres, Telomerase, and Senescence (6 papers), Ginkgo biloba and Cashew Applications (4 papers), Neurological Disease Mechanisms and Treatments (3 papers), Natural product bioactivities and synthesis (3 papers), CRISPR and Genetic Engineering (3 papers), DNA Repair Mechanisms (2 papers), Ubiquitin and proteasome pathways (2 papers) and Immune Cell Function and Interaction (2 papers). The work is most often cited by research in Aging (149 citations), Physiology (748 citations), Molecular Biology (1.2k citations), Complementary and alternative medicine (77 citations) and Biotechnology (73 citations). Huawei Xin has collaborated with scholars based in China, United States and France. Frequent co-authors include Zhou Songyang, Dan Liu, Matthew S. O’Connor, Ma Wan, Hyeung Kim, Dan Liu, Yulei Cui, Wen Sun, Jun Qin and Jiemin Wong. Their work appears in journals such as Industrial Crops and Products, Food Bioscience, Cell Reports, Cellular Microbiology and Physiologia Plantarum.
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.