Xiaoke Hao
Impact in
- Cancer Research top 5%
- MicroRNA in disease regulation
- Cancer-related molecular mechanisms research
- Hepatology top 10%
- Hepatitis C virus research
Papers in
-
- Extracellular vesicles in disease 11
- Circular RNAs in diseases 5
- RNA Interference and Gene Delivery 3
- Epidemiology 16
- Hepatitis B Virus Studies 5
- Mycobacterium research and diagnosis 5
- Co-authors
- Jiayun Liu (17 shared papers)Yueyun Ma (22 shared papers)Yanjun Diao (7 shared papers)Ming-quan Su (18 shared papers)Yang Liu (7 shared papers)Weixiao Fan (5 shared papers)Zhuo Li (4 shared papers)Lin Lei (3 shared papers)
- Journals
- Clinical Microbiology and Infection (2 papers)Virology Journal (2 papers)Frontiers in Genetics (2 papers)Cancer Biology & Therapy (2 papers)PLoS ONE (2 papers)
- Partner nations
- ChinaAustraliaUnited States
In The Last Decade
Xiaoke Hao
72 papers receiving 1.3k citations
Peers
Comparison fields: 5 of 112
- Cancer Research 276
- Hepatology 97
- Infectious Diseases 165
- Epidemiology 279
- Molecular Biology 559
Countries citing papers authored by Xiaoke Hao
This map shows the geographic impact of Xiaoke Hao'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 Xiaoke Hao with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Xiaoke Hao more than expected).
Fields of papers citing papers by Xiaoke Hao
This network shows the impact of papers produced by Xiaoke Hao. 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 Xiaoke Hao. The network helps show where Xiaoke Hao may publish in the future.
Co-authors
The 25 scholars most cited alongside Xiaoke Hao, 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 76 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2017 | 127 | |
| 2 | 2021 | 126 | |
| 3 | 2014 | 100 | |
| 4 | 2012 | 70 | |
| 5 | 2015 | 59 | |
| 6 | 2015 | 52 | |
| 7 | 2019 | 51 | |
| 8 | 2021 | 47 | |
| 9 | 2014 | 37 | |
| 10 | 2016 | 32 | |
| 11 | 2009 | 30 | |
| 12 | 2023 | 27 | |
| 13 | 2017 | 27 | |
| 14 | 2014 | 26 | |
| 15 | 2013 | 25 | |
| 16 | 2014 | 23 | |
| 17 | 2016 | 23 | |
| 18 | 2017 | 21 | |
| 19 | 2014 | 21 | |
| 20 | 2007 | 20 |
About Xiaoke Hao
Xiaoke Hao is a scholar working on Molecular Biology, Epidemiology, Infectious Diseases, Cancer Research and Hepatology, having authored 76 papers that have together received 1.3k indexed citations. Recurring topics across this work include Extracellular vesicles in disease (11 papers), Tuberculosis Research and Epidemiology (8 papers), MicroRNA in disease regulation (8 papers), Hepatitis C virus research (6 papers), Hepatitis B Virus Studies (5 papers), Mycobacterium research and diagnosis (5 papers), Circular RNAs in diseases (5 papers) and RNA Interference and Gene Delivery (3 papers). The work is most often cited by research in Cancer Research (276 citations), Hepatology (97 citations), Infectious Diseases (165 citations), Epidemiology (279 citations) and Molecular Biology (559 citations). Xiaoke Hao has collaborated with scholars based in China, Australia and United States. Frequent co-authors include Jiayun Liu, Yueyun Ma, Yanjun Diao, Ming-quan Su, Yang Liu, Weixiao Fan, Zhuo Li, Lin Lei, Lijuan Yu and Lei Zhou. Their work appears in journals such as Clinical Microbiology and Infection, Virology Journal, Frontiers in Genetics, Cancer Biology & Therapy and PLoS ONE.
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.