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
- Co-authors
- Pedro J. J. Alvarez (9 shared papers)Jacques Mathieu (7 shared papers)Lauren B. Stadler (2 shared papers)Qingbin Yuan (2 shared papers)Naomi Senehi (1 shared paper)Ruonan Sun (1 shared paper)Liyan Xi (9 shared papers)Mengyan Li (4 shared papers)
- Journals
- Environmental Science & Technology Letters (2 papers)Medical Mycology (2 papers)Aquaculture (2 papers)PLoS ONE (2 papers)Comparative Biochemistry and Physiology Part D Genomics and Proteomics (1 paper)
- Partner nations
- ChinaUnited StatesPoland
In The Last Decade
Ya He
28 papers receiving 900 citations
Peers
Comparison fields: 5 of 103
- Pollution 444
- Molecular Medicine 155
- Applied Microbiology and Biotechnology 45
- Health, Toxicology and Mutagenesis 93
- Ecology 167
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 28 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2020 | 384 | |
| 2 | 2018 | 69 | |
| 3 | 2017 | 49 | |
| 4 | 2017 | 44 | |
| 5 | 2017 | 40 | |
| 6 | 2018 | 30 | |
| 7 | 2018 | 29 | |
| 8 | 2019 | 27 | |
| 9 | 2018 | 21 | |
| 10 | 2020 | 20 | |
| 11 | 2022 | 19 | |
| 12 | 2020 | 18 | |
| 13 | 2017 | 16 | |
| 14 | 2017 | 16 | |
| 15 | 2016 | 15 | |
| 16 | 2019 | 14 | |
| 17 | 2016 | 13 | |
| 18 | 2019 | 11 | |
| 19 | 2017 | 11 | |
| 20 | 2016 | 11 |
About Ya He
Ya He is a scholar working on Molecular Biology, Pollution, Ecology, Epidemiology and Pulmonary and Respiratory Medicine, having authored 28 papers that have together received 920 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 (4 papers), Nanoplatforms for cancer theranostics (2 papers), Anaerobic Digestion and Biogas Production (2 papers), Physiological and biochemical adaptations (2 papers) and Microbial Fuel Cells and Bioremediation (2 papers). The work is most often cited by research in Pollution (444 citations), Molecular Medicine (155 citations), Applied Microbiology and Biotechnology (45 citations), Health, Toxicology and Mutagenesis (93 citations) and Ecology (167 citations). Ya He has collaborated with scholars based in China, United States and Poland. Frequent co-authors include Pedro J. J. Alvarez, Jacques Mathieu, Lauren B. Stadler, Qingbin Yuan, Naomi Senehi, Ruonan Sun, Liyan Xi, Mengyan Li, Pingfeng Yu and Marcio L. B. Da Silva. Their work appears in journals such as Environmental Science & Technology Letters, Medical Mycology, Aquaculture, PLoS ONE and Comparative Biochemistry and Physiology Part D Genomics and Proteomics.
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.