Ya He
Impact in
- Pollution top 2%
- Pharmaceutical and Antibiotic Environmental Impacts
- Microbial bioremediation and biosurfactants
- Wastewater Treatment and Nitrogen Removal
- Molecular Medicine top 5%
- Antibiotic Resistance in Bacteria
Papers in
-
- Microbial bioremediation and biosurfactants 5
- Wastewater Treatment and Nitrogen Removal 2
-
- Plant Pathogens and Fungal Diseases 4
- Co-authors
- Pedro J. J. Alvarez (9 shared papers)Jacques M. Mathieu (7 shared papers)Lauren B. Stadler (2 shared papers)Qingbin Yuan (2 shared papers)Naomi L. Senehi (1 shared paper)Ruonan Sun (1 shared paper)Liyan Xi (9 shared papers)Mengyan Li (4 shared papers)
- Journals
- Medical Mycology (2 papers)Aquaculture (2 papers)PLoS ONE (2 papers)Environmental Science & Technology Letters (2 papers)NanoImpact (1 paper)
- Partner nations
- ChinaUnited StatesPoland
In The Last Decade
Ya He
29 papers receiving 1.1k citations
Peers
Comparison fields: 5 of 101
- Pollution 498
- Molecular Medicine 161
- Applied Microbiology and Biotechnology 51
- Health, Toxicology and Mutagenesis 98
- Ecology 181
Countries citing papers authored by Ya He
This map shows the geographic impact of Ya He'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 Ya He with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Ya He more than expected).
Fields of papers citing papers by Ya He
This network shows the impact of papers produced by Ya He. 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 Ya He. The network helps show where Ya He may publish in the future.
Co-authors
The 25 scholars most cited alongside Ya He, 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 29 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2020 | 464 | |
| 2 | 2018 | 75 | |
| 3 | 2017 | 53 | |
| 4 | 2017 | 48 | |
| 5 | 2017 | 41 | |
| 6 | 2018 | 34 | |
| 7 | 2018 | 30 | |
| 8 | 2019 | 29 | |
| 9 | 2018 | 24 | |
| 10 | 2022 | 23 | |
| 11 | 2020 | 22 | |
| 12 | 2017 | 20 | |
| 13 | 2020 | 18 | |
| 14 | 2016 | 17 | |
| 15 | 2016 | 16 | |
| 16 | 2019 | 16 | |
| 17 | 2017 | 16 | |
| 18 | 2016 | 15 | |
| 19 | 2019 | 14 | |
| 20 | 2017 | 13 |
About Ya He
Ya He is a scholar working on Pollution, Cell Biology, Epidemiology, Ecology and Endocrinology, having authored 29 papers that have together received 1.1k indexed citations. Recurring topics across this work include Fungal Infections and Studies (6 papers), Microbial bioremediation and biosurfactants (5 papers), Plant Pathogens and Fungal Diseases (4 papers), Photodynamic Therapy Research Studies (3 papers), bioluminescence and chemiluminescence research (2 papers), Biofuel production and bioconversion (2 papers), Microbial Fuel Cells and Bioremediation (2 papers) and Wastewater Treatment and Nitrogen Removal (2 papers). The work is most often cited by research in Pollution (498 citations), Molecular Medicine (161 citations), Applied Microbiology and Biotechnology (51 citations), Health, Toxicology and Mutagenesis (98 citations) and Ecology (181 citations). Ya He has collaborated with scholars based in China, United States and Poland. Frequent co-authors include Pedro J. J. Alvarez, Jacques M. Mathieu, Lauren B. Stadler, Qingbin Yuan, Naomi L. Senehi, Ruonan Sun, Liyan Xi, Mengyan Li, Pingfeng Yu and Marcio L. B. Da Silva. Their work appears in journals such as Medical Mycology, Aquaculture, PLoS ONE, Environmental Science & Technology Letters and NanoImpact.
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.