Wu Lan

4.1k citations
93 papers · 3.3k · h-index 32

Impact in

    • Biochemical and biochemical processes
    • Lignin and Wood Chemistry
    • Biofuel production and bioconversion
    • Catalysis for Biomass Conversion

Papers in

Wu Lan

85 papers receiving 3.3k citations

Peers

Wu Lan
Comparison fields: 5 of 124
  • Biotechnology 380
  • Biomedical Engineering 1.9k
  • Biomaterials 554
  • Electrochemistry 194
  • Biochemistry 144
Replace Keehoon Won with:
Keehoon Won South Korea
Sandip B. Bankar India
Mahesh V. Bule India
Tingting You China
José A. Lopes‐da‐Silva Portugal
Tânia Maria Haas Costa Brazil
O. Bobleter Austria
Julia L. Shamshina United States
Tzonka Godjevargova Bulgaria
Agnieszka Brandt‐Talbot United Kingdom
Wu Lan relative to Keehoon Won South Korea Keehoon Won's profile →
Citations per field
00.5×1.5×2.5×
Keehoon Won · 1×
Citations per year

Countries citing papers authored by Wu Lan

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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.

Border = papers with Wu Lan Line = papers co-authored together Wu Lan links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 93 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2015277
2 2017232
3 2011185
4 2011153
5 2020131
6 2016128
7 2015127
8 2019119
9 2019117
10 2021100
11 201594
12 201685
13 202379
14 200778
15 201677
16 202075
17 201966
18 201956
19 202152
20 201751

About Wu Lan

Wu Lan is a scholar working on Biomedical Engineering, Molecular Biology, Biotechnology, Plant Science and Biomaterials, having authored 93 papers that have together received 3.3k indexed citations. Recurring topics across this work include Lignin and Wood Chemistry (42 papers), Biofuel production and bioconversion (19 papers), Plant Gene Expression Analysis (16 papers), Biochemical and biochemical processes (14 papers), Catalysis for Biomass Conversion (14 papers), Advanced Cellulose Research Studies (10 papers), Enzyme-mediated dye degradation (8 papers) and Fermentation and Sensory Analysis (8 papers). The work is most often cited by research in Biotechnology (380 citations), Biomedical Engineering (1.9k citations), Biomaterials (554 citations), Electrochemistry (194 citations) and Biochemistry (144 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, Fengxia Yue, Masoud Talebi Amiri, Jianshan Ye and Jorge Rencoret. Their work appears in journals such as Industrial Crops and Products, Chemical Engineering Journal, ACS Sustainable Chemistry & Engineering, PLANT PHYSIOLOGY and Angewandte Chemie International Edition.

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.

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