Xi Long
Impact in
- Health Informatics top 10%
Papers in
-
- DNA Repair Mechanisms 3
-
- Cancer-related molecular mechanisms research 5
- Carcinogens and Genotoxicity Assessment 3
- Co-authors
- Yun Ma (3 shared papers)Hong Xue (7 shared papers)Alex Zhavoronkov (6 shared papers)Feng Ren (6 shared papers)Frank W. Pun (6 shared papers)Ivan V. Ozerov (4 shared papers)Bonnie Hei Man Liu (4 shared papers)Hoi-Wing Leung (3 shared papers)
- Journals
- Scientific Reports (2 papers)BMC Cancer (2 papers)International Journal of Molecular Sciences (2 papers)Bioscience Biotechnology and Biochemistry (2 papers)Frontiers in Microbiology (1 paper)
- Partner nations
- ChinaHong KongUnited States
In The Last Decade
Xi Long
31 papers receiving 427 citations
Xi Long's Hit Papers
Peers
Comparison fields: 5 of 83
- Aging 17
- Health Informatics 13
- Cancer Research 105
- Molecular Biology 252
- Computational Theory and Mathematics 54
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 31 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 | 65 |
| 2 | 2022 | 59 | |
| 3 | 2009 | 43 | |
| 4 | 2022 | 40 | |
| 5 | 2008 | 37 | |
| 6 | 2007 | 27 | |
| 7 | 2019 | 23 | |
| 8 | 2023 | 19 | |
| 9 | 2021 | 14 | |
| 10 | 2017 | 11 | |
| 11 | 2020 | 10 | |
| 12 | 2016 | 10 | |
| 13 | 2020 | 10 | |
| 14 | 2021 | 8 | |
| 15 | 2022 | 7 | |
| 16 | 2017 | 7 | |
| 17 | 2018 | 7 | |
| 18 | 2021 | 7 | |
| 19 | 2020 | 6 | |
| 20 | 2024 | 6 |
About Xi Long
Xi Long is a scholar working on Molecular Biology, Cancer Research, Genetics, Plant Science and Epidemiology, having authored 31 papers that have together received 445 indexed citations. Recurring topics across this work include Cancer-related molecular mechanisms research (5 papers), Genetic Mapping and Diversity in Plants and Animals (5 papers), Genetic and phenotypic traits in livestock (3 papers), Nematode management and characterization studies (3 papers), DNA Repair Mechanisms (3 papers), Computational Drug Discovery Methods (3 papers), Carcinogens and Genotoxicity Assessment (3 papers) and Genetic factors in colorectal cancer (2 papers). The work is most often cited by research in Aging (17 citations), Health Informatics (13 citations), Cancer Research (105 citations), Molecular Biology (252 citations) and Computational Theory and Mathematics (54 citations). Xi Long has collaborated with scholars based in China, Hong Kong and United States. Frequent co-authors include Yun Ma, Hong Xue, Alex Zhavoronkov, Feng Ren, Frank W. Pun, Ivan V. Ozerov, Bonnie Hei Man Liu, Hoi-Wing Leung, Evgeny Izumchenko and Ju Wang. Their work appears in journals such as Scientific Reports, BMC Cancer, International Journal of Molecular Sciences, Bioscience Biotechnology and Biochemistry and Frontiers in Microbiology.
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.