Line Munk

627 citations
9 papers · 541 · 1 hit paper · h-index 8

Impact in

    • Biochemical and biochemical processes
    • Microbial Metabolism and Applications
    • Enzyme-mediated dye degradation

Papers in

    • Biochemical and biochemical processes 4
    • Enzyme Production and Characterization 3
    • Lignin and Wood Chemistry 4
    • Biofuel production and bioconversion 3

Line Munk

9 papers receiving 531 citations

Line Munk's Hit Papers

Can laccases catalyze bond cleavage in lignin? 2015 · 326 citations
3260+3+7Years since publication100200300

Peers

Line Munk
Comparison fields: 5 of 58
  • Biotechnology 265
  • Plant Science 420
  • Biomedical Engineering 238
  • Pollution 58
  • Analytical Chemistry 41
Replace Leela Wati with:
Leela Wati India
Zhengbing Jiang China
Hipólito F. Pajot Argentina
Anusuiya Singh India
Alba Blánquez Spain
Leandro Papinutti Argentina
Iniya Kumar Muniraj India
Khushal Brijwani United States
Zhonghai Li China
Jijiao Zeng United States
Line Munk relative to Leela Wati India Leela Wati's profile →
Citations per field
00.5×2.8×
Leela Wati · 1×
Citations per year

Countries citing papers authored by Line Munk

Since Specialization
Citations

This map shows the geographic impact of Line Munk'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 Line Munk with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Line Munk more than expected).

Fields of papers citing papers by Line Munk

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Line Munk. 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 Line Munk. The network helps show where Line Munk may publish in the future.

Co-authors

The 25 scholars most cited alongside Line Munk, 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 Line Munk Line = papers co-authored together Line Munk links everyone, so they are left out of the graph.

All Works

9 of 9 papers shown
#Work
1
Can laccases catalyze bond cleavage in lignin?
Hit paper breakdown →
2015326
2 201858
3 201743
4 201532
5 201731
6 202025
7 202115
8 202210
9 20091

About Line Munk

Line Munk is a scholar working on Biotechnology, Biomedical Engineering, Plant Science, Nutrition and Dietetics and Infectious Diseases, having authored 9 papers that have together received 541 indexed citations. Recurring topics across this work include Enzyme-mediated dye degradation (5 papers), Biochemical and biochemical processes (4 papers), Lignin and Wood Chemistry (4 papers), Enzyme Production and Characterization (3 papers), Biofuel production and bioconversion (3 papers), melanin and skin pigmentation (1 paper), Food composition and properties (1 paper) and Microbial Metabolites in Food Biotechnology (1 paper). The work is most often cited by research in Biotechnology (265 citations), Plant Science (420 citations), Biomedical Engineering (238 citations), Pollution (58 citations) and Analytical Chemistry (41 citations). Line Munk has collaborated with scholars based in Denmark and Netherlands. Frequent co-authors include Anne S. Meyer, Jørn Dalgaard Mikkelsen, Dayanand C. Kalyani, Mogens L. Andersen, Arjen M. Punt, Mirjam A. Kabel, Sebastián Meier, Kai Li, Ming Liu and Casper Wilkens. Their work appears in journals such as RSC Advances, Enzyme and Microbial Technology, ACS Sustainable Chemistry & Engineering, Journal of Agricultural and Food Chemistry and Biotechnology Advances.

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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