Xi Long
Impact in
- Aging top 10%
- Genetics, Aging, and Longevity in Model Organisms
- Health Informatics top 10%
Papers in
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- DNA Repair Mechanisms 2
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- Cancer-related molecular mechanisms research 5
- Co-authors
- Feng Ren (5 shared papers)Yun Ma (3 shared papers)Frank W. Pun (5 shared papers)Alex Zhavoronkov (5 shared papers)Ivan V. Ozerov (4 shared papers)Hong Xue (5 shared papers)Bonnie Hei Man Liu (4 shared papers)Hoi-Wing Leung (3 shared papers)
- Journals
- Bioscience Biotechnology and Biochemistry (2 papers)International Journal of Molecular Sciences (2 papers)BMC Cancer (2 papers)Scientific Reports (2 papers)Animals (1 paper)
- Partner nations
- ChinaHong KongUnited States
In The Last Decade
Xi Long
28 papers receiving 459 citations
Xi Long's Hit Papers
Peers
Comparison fields: 5 of 82
- Aging 20
- Health Informatics 12
- Cancer Research 87
- Molecular Biology 225
- Computational Theory and Mathematics 53
Countries citing papers authored by Xi Long
This map shows the geographic impact of Xi Long'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 Xi Long with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Xi Long more than expected).
Fields of papers citing papers by Xi Long
This network shows the impact of papers produced by Xi Long. 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 Xi Long. The network helps show where Xi Long may publish in the future.
Co-authors
The 25 scholars most cited alongside Xi Long, 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 28 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | PandaOmics: An AI-Driven Platform for Therapeutic Target and Biomarker Discovery Hit paper breakdown → | 2024 | 77 |
| 2 | 2022 | 62 | |
| 3 | 2022 | 51 | |
| 4 | 2009 | 43 | |
| 5 | 2008 | 37 | |
| 6 | 2007 | 28 | |
| 7 | 2023 | 26 | |
| 8 | 2019 | 23 | |
| 9 | 2021 | 15 | |
| 10 | 2017 | 11 | |
| 11 | 2020 | 10 | |
| 12 | 2016 | 10 | |
| 13 | 2022 | 8 | |
| 14 | 2021 | 8 | |
| 15 | 2018 | 8 | |
| 16 | 2020 | 7 | |
| 17 | 2021 | 7 | |
| 18 | 2017 | 7 | |
| 19 | 2024 | 7 | |
| 20 | 2018 | 6 |
About Xi Long
Xi Long is a scholar working on Molecular Biology, Cancer Research, Genetics, Plant Science and Infectious Diseases, having authored 28 papers that have together received 475 indexed citations. Recurring topics across this work include Cancer-related molecular mechanisms research (5 papers), Genetic Mapping and Diversity in Plants and Animals (4 papers), Genetic and phenotypic traits in livestock (3 papers), Nematode management and characterization studies (3 papers), DNA Repair Mechanisms (2 papers), Genetics, Aging, and Longevity in Model Organisms (2 papers), Computational Drug Discovery Methods (2 papers) and Plant-Microbe Interactions and Immunity (2 papers). The work is most often cited by research in Aging (20 citations), Health Informatics (12 citations), Cancer Research (87 citations), Molecular Biology (225 citations) and Computational Theory and Mathematics (53 citations). Xi Long has collaborated with scholars based in China, Hong Kong and United States. Frequent co-authors include Feng Ren, Yun Ma, Frank W. Pun, Alex Zhavoronkov, Ivan V. Ozerov, Hong Xue, Bonnie Hei Man Liu, Hoi-Wing Leung, Evgeny Izumchenko and Ju Wang. Their work appears in journals such as Bioscience Biotechnology and Biochemistry, International Journal of Molecular Sciences, BMC Cancer, Scientific Reports and Animals.
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.