Wu Lan
Impact in
- Biotechnology top 1%
- Biochemical and biochemical processes
- Biomedical Engineering top 1%
- Lignin and Wood Chemistry
- Biofuel production and bioconversion
- Catalysis for Biomass Conversion
Papers in
-
- Lignin and Wood Chemistry 40
- Biofuel production and bioconversion 20
- Catalysis for Biomass Conversion 14
-
- Plant Gene Expression Analysis 16
- Co-authors
- Jeremy S. Luterbacher (9 shared papers)Chuanfu Liu (26 shared papers)Run‐Cang Sun (7 shared papers)John Ralph (10 shared papers)Zhiwei Lu (5 shared papers)Fachuang Lu (7 shared papers)Masoud Talebi Amiri (3 shared papers)Fengxia Yue (16 shared papers)
- Journals
- Industrial Crops and Products (8 papers)Chemical Engineering Journal (6 papers)PLANT PHYSIOLOGY (3 papers)Green Chemistry (3 papers)Carbohydrate Polymers (3 papers)
- Partner nations
- ChinaUnited StatesSwitzerland
In The Last Decade
Wu Lan
83 papers receiving 3.1k citations
Peers
Comparison fields: 5 of 124
- Biotechnology 359
- Biomedical Engineering 1.8k
- Biomaterials 512
- Electrochemistry 191
- Biochemistry 145
Countries citing papers authored by Wu Lan
This map shows the geographic impact of Wu Lan'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 Wu Lan with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Wu Lan more than expected).
Fields of papers citing papers by Wu Lan
This network shows the impact of papers produced by Wu Lan. 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 Wu Lan. The network helps show where Wu Lan may publish in the future.
Co-authors
The 25 scholars most cited alongside Wu Lan, 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 88 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2015 | 267 | |
| 2 | 2017 | 219 | |
| 3 | 2011 | 171 | |
| 4 | 2011 | 144 | |
| 5 | 2020 | 128 | |
| 6 | 2016 | 125 | |
| 7 | 2015 | 120 | |
| 8 | 2019 | 110 | |
| 9 | 2019 | 108 | |
| 10 | 2021 | 90 | |
| 11 | 2015 | 84 | |
| 12 | 2016 | 83 | |
| 13 | 2007 | 77 | |
| 14 | 2023 | 75 | |
| 15 | 2016 | 74 | |
| 16 | 2020 | 72 | |
| 17 | 2019 | 64 | |
| 18 | 2019 | 52 | |
| 19 | 2021 | 50 | |
| 20 | 2017 | 49 |
About Wu Lan
Wu Lan is a scholar working on Biomedical Engineering, Molecular Biology, Biotechnology, Plant Science and Biomaterials, having authored 88 papers that have together received 3.1k indexed citations. Recurring topics across this work include Lignin and Wood Chemistry (40 papers), Biofuel production and bioconversion (20 papers), Plant Gene Expression Analysis (16 papers), Catalysis for Biomass Conversion (14 papers), Biochemical and biochemical processes (13 papers), Advanced Cellulose Research Studies (9 papers), Electrochemical sensors and biosensors (7 papers) and Enzyme-mediated dye degradation (7 papers). The work is most often cited by research in Biotechnology (359 citations), Biomedical Engineering (1.8k citations), Biomaterials (512 citations), Electrochemistry (191 citations) and Biochemistry (145 citations). Wu Lan has collaborated with scholars based in China, United States and Switzerland. Frequent co-authors include Jeremy S. Luterbacher, Chuanfu Liu, Run‐Cang Sun, John Ralph, Zhiwei Lu, Fachuang Lu, Masoud Talebi Amiri, Fengxia Yue, Jianshan Ye and Jorge Rencoret. Their work appears in journals such as Industrial Crops and Products, Chemical Engineering Journal, PLANT PHYSIOLOGY, Green Chemistry and Carbohydrate Polymers.
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.