Deying Yang
Impact in
- Parasitology top 5%
- Parasitic Infections and Diagnostics
-
- Cancer-related molecular mechanisms research
- MicroRNA in disease regulation
Papers in
-
- Genomics and Phylogenetic Studies 8
- RNA Research and Splicing 3
- Genetics 7
- Genetic diversity and population structure 5
- Co-authors
- Mingyao Yang (16 shared papers)Xiaobin Gu (16 shared papers)Zhi He (16 shared papers)Guangyou Yang (14 shared papers)Yue Xie (14 shared papers)Xiaolan Fan (14 shared papers)Xuerong Peng (12 shared papers)Xinrui Chen (1 shared paper)
- Journals
- Veterinary Parasitology (5 papers)PLoS ONE (4 papers)International Journal of Molecular Sciences (3 papers)Animals (2 papers)BMC Genomics (2 papers)
- Partner nations
- ChinaUnited StatesUnited Kingdom
In The Last Decade
Deying Yang
44 papers receiving 601 citations
Peers
Comparison fields: 5 of 84
- Parasitology 105
- Cancer Research 112
- Aging 11
- Pathology and Forensic Medicine 88
- Small Animals 37
Countries citing papers authored by Deying Yang
This map shows the geographic impact of Deying Yang'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 Deying Yang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Deying Yang more than expected).
Fields of papers citing papers by Deying Yang
This network shows the impact of papers produced by Deying Yang. 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 Deying Yang. The network helps show where Deying Yang may publish in the future.
Co-authors
The 25 scholars most cited alongside Deying Yang, 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 45 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2019 | 54 | |
| 2 | 2020 | 54 | |
| 3 | 2011 | 46 | |
| 4 | 2012 | 38 | |
| 5 | 2017 | 36 | |
| 6 | 2013 | 34 | |
| 7 | 2011 | 34 | |
| 8 | 2013 | 33 | |
| 9 | 2018 | 27 | |
| 10 | 2017 | 27 | |
| 11 | 2012 | 24 | |
| 12 | 2012 | 24 | |
| 13 | 2020 | 23 | |
| 14 | 2013 | 20 | |
| 15 | 2020 | 18 | |
| 16 | 2013 | 15 | |
| 17 | 2020 | 12 | |
| 18 | 2022 | 11 | |
| 19 | 2017 | 9 | |
| 20 | 2013 | 9 |
About Deying Yang
Deying Yang is a scholar working on Molecular Biology, Genetics, Immunology, Cancer Research and Parasitology, having authored 45 papers that have together received 608 indexed citations. Recurring topics across this work include Genomics and Phylogenetic Studies (8 papers), Parasitic infections in humans and animals (5 papers), Cancer-related molecular mechanisms research (5 papers), Genetic diversity and population structure (5 papers), Parasitic Infections and Diagnostics (4 papers), Insect Pest Control Strategies (4 papers), MicroRNA in disease regulation (4 papers) and RNA Research and Splicing (3 papers). The work is most often cited by research in Parasitology (105 citations), Cancer Research (112 citations), Aging (11 citations), Pathology and Forensic Medicine (88 citations) and Small Animals (37 citations). Deying Yang has collaborated with scholars based in China, United States and United Kingdom. Frequent co-authors include Mingyao Yang, Xiaobin Gu, Zhi He, Guangyou Yang, Yue Xie, Xiaolan Fan, Xuerong Peng, Xinrui Chen, Xuerong Peng and Tianfei Liu. Their work appears in journals such as Veterinary Parasitology, PLoS ONE, International Journal of Molecular Sciences, Animals and BMC Genomics.
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.