Yi Kang
Impact in
- Parasitology top 1%
- Parasites and Host Interactions
- Cancer Research top 5%
- Cancer-related molecular mechanisms research
- MicroRNA in disease regulation
Papers in
-
- Hepatitis C virus research 5
- Immunology 13
- interferon and immune responses 5
- Co-authors
- Jia Shang (17 shared papers)Xiaoju Zhang (6 shared papers)Zhaogang Dong (1 shared paper)Guangzhi Liu (1 shared paper)Yanli Zeng (8 shared papers)Kehu Yang (5 shared papers)Tao You (20 shared papers)Zheng Wang (2 shared papers)
- Journals
- PLoS ONE (4 papers)Medicine (3 papers)European Journal of Nuclear Medicine and Molecular Imaging (2 papers)Nature Genetics (2 papers)Cytokine (2 papers)
- Partner nations
- ChinaUnited StatesAustralia
In The Last Decade
Yi Kang
84 papers receiving 2.3k citations
Yi Kang's Hit Papers
Peers
Comparison fields: 5 of 129
- Parasitology 438
- Cancer Research 396
- Aging 40
- Small Animals 156
- Ecology 355
Countries citing papers authored by Yi Kang
This map shows the geographic impact of Yi Kang'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 Yi Kang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Yi Kang more than expected).
Fields of papers citing papers by Yi Kang
This network shows the impact of papers produced by Yi Kang. 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 Yi Kang. The network helps show where Yi Kang may publish in the future.
Co-authors
The 25 scholars most cited alongside Yi Kang, 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 90 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | Whole-genome sequence of Schistosoma haematobium Hit paper breakdown → | 2012 | 365 |
| 2 | 2012 | 316 | |
| 3 | 2013 | 291 | |
| 4 | 2011 | 237 | |
| 5 | 2013 | 113 | |
| 6 | 2012 | 78 | |
| 7 | 2012 | 60 | |
| 8 | 2017 | 53 | |
| 9 | 2012 | 44 | |
| 10 | 2018 | 42 | |
| 11 | 2014 | 39 | |
| 12 | 2013 | 35 | |
| 13 | 2017 | 35 | |
| 14 | 2013 | 33 | |
| 15 | 2014 | 31 | |
| 16 | 2020 | 31 | |
| 17 | 2012 | 31 | |
| 18 | 2010 | 29 | |
| 19 | 2021 | 29 | |
| 20 | 2015 | 27 |
About Yi Kang
Yi Kang is a scholar working on Hepatology, Immunology, Cancer Research, Epidemiology and Molecular Biology, having authored 90 papers that have together received 2.4k indexed citations. Recurring topics across this work include Cancer-related molecular mechanisms research (7 papers), COVID-19 Clinical Research Studies (5 papers), Congenital Heart Disease Studies (5 papers), interferon and immune responses (5 papers), Hepatitis C virus research (5 papers), RNA modifications and cancer (4 papers), Cardiac Valve Diseases and Treatments (4 papers) and MicroRNA in disease regulation (4 papers). The work is most often cited by research in Parasitology (438 citations), Cancer Research (396 citations), Aging (40 citations), Small Animals (156 citations) and Ecology (355 citations). Yi Kang has collaborated with scholars based in China, United States and Australia. Frequent co-authors include Jia Shang, Xiaoju Zhang, Zhaogang Dong, Guangzhi Liu, Yanli Zeng, Kehu Yang, Tao You, Zheng Wang, Tiantian Sun and Wei Li. Their work appears in journals such as PLoS ONE, Medicine, European Journal of Nuclear Medicine and Molecular Imaging, Nature Genetics and Cytokine.
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.