Mei-Ling Han
Impact in
- Pharmacology top 5%
- Fungal Biology and Applications
- Biotechnology top 10%
- Microbial Metabolism and Applications
Papers in
-
- Mycorrhizal Fungi and Plant Interactions 13
- Enzyme-mediated dye degradation 10
- Pharmacology 15
- Fungal Biology and Applications 15
- Co-authors
- Bao‐Kai Cui (8 shared papers)Yu‐Cheng Dai (5 shared papers)Jie Song (2 shared papers)Yuanyuan Chen (1 shared paper)Lulu Shen (1 shared paper)Josef Vlasák (1 shared paper)Hai-Jiao Li (1 shared paper)Jing Si (3 shared papers)
- Journals
- BioResources (9 papers)Frontiers in Microbiology (2 papers)Phytotaxa (2 papers)Mycological Progress (2 papers)MycoKeys (1 paper)
- Partner nations
- ChinaUnited StatesCzechia
In The Last Decade
Mei-Ling Han
21 papers receiving 368 citations
Peers
Comparison fields: 5 of 37
- Pharmacology 202
- Biotechnology 84
- Plant Science 327
- Cell Biology 135
- Ecology, Evolution, Behavior and Systematics 107
Countries citing papers authored by Mei-Ling Han
This map shows the geographic impact of Mei-Ling Han'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 Mei-Ling Han with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Mei-Ling Han more than expected).
Fields of papers citing papers by Mei-Ling Han
This network shows the impact of papers produced by Mei-Ling Han. 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 Mei-Ling Han. The network helps show where Mei-Ling Han may publish in the future.
Co-authors
The 25 scholars most cited alongside Mei-Ling Han, 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 21 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2016 | 107 | |
| 2 | 2021 | 34 | |
| 3 | 2013 | 30 | |
| 4 | 2016 | 26 | |
| 5 | 2014 | 22 | |
| 6 | 2020 | 20 | |
| 7 | 2021 | 19 | |
| 8 | 2014 | 19 | |
| 9 | 2020 | 19 | |
| 10 | 2020 | 14 | |
| 11 | 2017 | 11 | |
| 12 | 2021 | 10 | |
| 13 | 2021 | 9 | |
| 14 | 2021 | 5 | |
| 15 | 2018 | 5 | |
| 16 | 2016 | 5 | |
| 17 | 2015 | 5 | |
| 18 | 2022 | 4 | |
| 19 | 2020 | 4 | |
| 20 | 2021 | 3 |
About Mei-Ling Han
Mei-Ling Han is a scholar working on Plant Science, Pharmacology, Cell Biology, Biotechnology and Ecology, Evolution, Behavior and Systematics, having authored 21 papers that have together received 372 indexed citations. Recurring topics across this work include Fungal Biology and Applications (15 papers), Mycorrhizal Fungi and Plant Interactions (13 papers), Enzyme-mediated dye degradation (10 papers), Plant Pathogens and Fungal Diseases (5 papers), Microbial Metabolism and Applications (4 papers), Lichen and fungal ecology (3 papers), Slime Mold and Myxomycetes Research (2 papers) and Yeasts and Rust Fungi Studies (2 papers). The work is most often cited by research in Pharmacology (202 citations), Biotechnology (84 citations), Plant Science (327 citations), Cell Biology (135 citations) and Ecology, Evolution, Behavior and Systematics (107 citations). Mei-Ling Han has collaborated with scholars based in China, United States and Czechia. Frequent co-authors include Bao‐Kai Cui, Yu‐Cheng Dai, Jie Song, Yuanyuan Chen, Lulu Shen, Josef Vlasák, Hai-Jiao Li, Jing Si, Yan Wang and Shun Liu. Their work appears in journals such as BioResources, Frontiers in Microbiology, Phytotaxa, Mycological Progress and MycoKeys.
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.