Wu Lan

4.3k citations
91 papers · 3.5k · h-index 32

Impact in

    • Lignin and Wood Chemistry
    • Biofuel production and bioconversion
    • Catalysis for Biomass Conversion
    • Advanced Cellulose Research Studies

Papers in

    • Lignin and Wood Chemistry 40
    • Biofuel production and bioconversion 19
    • Catalysis for Biomass Conversion 14
    • Biochemical and biochemical processes 13

Wu Lan

86 papers receiving 3.4k citations

Peers

Wu Lan
Comparison fields: 5 of 121
  • Biomedical Engineering 2.0k
  • Biomaterials 571
  • Biotechnology 368
  • Electrochemistry 195
  • Biochemistry 143
Replace Keehoon Won with:
Keehoon Won South Korea
Sandip Balasaheb Bankar India
Mahesh V. Bule India
Mohd Azmuddin Abdullah Malaysia
Ortwin Bobleter Austria
Julia L. Shamshina United States
Agnieszka Brandt‐Talbot United Kingdom
Tzonka Ivanova Godjevargova Bulgaria
Yun Liu China
N. Sakthivel India
Wu Lan relative to Keehoon Won South Korea Keehoon Won's profile →
Citations per field
00.5×1.5×2×2.5×
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 91 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2017295
2 2015287
3 2011191
4 2011154
5 2019148
6 2020136
7 2016135
8 2015132
9 2019120
10 2021101
11 201594
12 202390
13 201689
14 200779
15 202078
16 201678
17 201967
18 201960
19 202155
20 202148

About Wu Lan

Wu Lan is a scholar working on Biomedical Engineering, Biotechnology, Biomaterials, Food Science and Molecular Biology, having authored 91 papers that have together received 3.5k indexed citations. Recurring topics across this work include Lignin and Wood Chemistry (40 papers), Biofuel production and bioconversion (19 papers), Plant Gene Expression Analysis (16 papers), Catalysis for Biomass Conversion (14 papers), Biochemical and biochemical processes (13 papers), Advanced Cellulose Research Studies (10 papers), Fermentation and Sensory Analysis (8 papers) and Electrochemical sensors and biosensors (7 papers). The work is most often cited by research in Biomedical Engineering (2.0k citations), Biomaterials (571 citations), Biotechnology (368 citations), Electrochemistry (195 citations) and Biochemistry (143 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 Chemical Engineering Journal, Industrial Crops and Products, ACS Sustainable Chemistry & Engineering, Carbohydrate Polymers 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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