Yaping Yang
Impact in
- Parasitology top 2%
- Parasites and Host Interactions
- Infectious Diseases top 5%
- Parasitic Diseases Research and Treatment
Papers in
-
- Microbial Metabolic Engineering and Bioproduction 9
- Enzyme Catalysis and Immobilization 5
- Plant biochemistry and biosynthesis 5
- CRISPR and Genetic Engineering 4
- RNA and protein synthesis mechanisms 3
-
- Parasitic Diseases Research and Treatment 9
- Co-authors
- Xin‐Long Ni (3 shared papers)Shiyan Chen (2 shared papers)Yajun Yan (13 shared papers)Zhu Tao (1 shared paper)Yuheng Lin (7 shared papers)Xinping Zhu (8 shared papers)Jing Yang (8 shared papers)Yuan Gu (9 shared papers)
- Journals
- Metabolic Engineering (7 papers)PLoS ONE (5 papers)Vaccine (2 papers)BioMed Research International (1 paper)ACS Synthetic Biology (1 paper)
- Partner nations
- ChinaUnited StatesTaiwan
In The Last Decade
Yaping Yang
45 papers receiving 1.6k citations
Peers
Comparison fields: 5 of 114
- Parasitology 193
- Infectious Diseases 289
- Spectroscopy 186
- Molecular Biology 640
- Biotechnology 78
Countries citing papers authored by Yaping Yang
This map shows the geographic impact of Yaping 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 Yaping Yang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Yaping Yang more than expected).
Fields of papers citing papers by Yaping Yang
This network shows the impact of papers produced by Yaping 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 Yaping Yang. The network helps show where Yaping Yang may publish in the future.
Co-authors
The 25 scholars most cited alongside Yaping 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 46 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2016 | 297 | |
| 2 | 2015 | 149 | |
| 3 | 2021 | 114 | |
| 4 | 2018 | 102 | |
| 5 | 2002 | 77 | |
| 6 | 2014 | 73 | |
| 7 | 2010 | 69 | |
| 8 | 2012 | 57 | |
| 9 | 2017 | 57 | |
| 10 | 2011 | 56 | |
| 11 | 2011 | 52 | |
| 12 | 2019 | 44 | |
| 13 | 2009 | 42 | |
| 14 | 2010 | 39 | |
| 15 | 2016 | 37 | |
| 16 | 2012 | 35 | |
| 17 | 2011 | 34 | |
| 18 | 2007 | 34 | |
| 19 | 2017 | 27 | |
| 20 | 2018 | 25 |
About Yaping Yang
Yaping Yang is a scholar working on Molecular Biology, Infectious Diseases, Ecology, Parasitology and Materials Chemistry, having authored 46 papers that have together received 1.6k indexed citations. Recurring topics across this work include Parasitic Diseases Research and Treatment (9 papers), Microbial Metabolic Engineering and Bioproduction (9 papers), Parasite Biology and Host Interactions (5 papers), Enzyme Catalysis and Immobilization (5 papers), Plant biochemistry and biosynthesis (5 papers), CRISPR and Genetic Engineering (4 papers), Bacterial Genetics and Biotechnology (3 papers) and RNA and protein synthesis mechanisms (3 papers). The work is most often cited by research in Parasitology (193 citations), Infectious Diseases (289 citations), Spectroscopy (186 citations), Molecular Biology (640 citations) and Biotechnology (78 citations). Yaping Yang has collaborated with scholars based in China, United States and Taiwan. Frequent co-authors include Xin‐Long Ni, Shiyan Chen, Yajun Yan, Zhu Tao, Yuheng Lin, Xinping Zhu, Jing Yang, Yuan Gu, Lingyun Li and Robert J. Linhardt. Their work appears in journals such as Metabolic Engineering, PLoS ONE, Vaccine, BioMed Research International and ACS Synthetic Biology.
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.