Line Munk

627 citations
9 papers · 494 · 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 487 citations

Peers

Line Munk
Comparison fields: 5 of 57
  • Biotechnology 239
  • Plant Science 382
  • Biomedical Engineering 214
  • Pollution 53
  • Analytical Chemistry 38
Replace Zhengbing Jiang with:
Zhengbing Jiang China
Alba Blánquez Spain
Anusuiya Singh India
Münir Tunçer Türkiye
Leandro Papinutti Argentina
Jussi Kontro Finland
Leela Wati India
Khushal Brijwani United States
Iniya Kumar Muniraj India
Isabelle Herpoël‐Gimbert France
Line Munk relative to Zhengbing Jiang China Zhengbing Jiang's profile →
Citations per field
00.5×4.3×
Zhengbing Jiang · 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 2015299
2 201849
3 201739
4 201529
5 201728
6 202024
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 494 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 (239 citations), Plant Science (382 citations), Biomedical Engineering (214 citations), Pollution (53 citations) and Analytical Chemistry (38 citations). Line Munk has collaborated with scholars based in Denmark and Netherlands. Frequent co-authors include Anne S. Meyer, Dayanand C. Kalyani, Jørn Dalgaard Mikkelsen, Mogens L. Andersen, Arjen M. Punt, Mirjam A. Kabel, Sebastián Meier, Kai Li, Peter Ulvskov and Jesper Holck. Their work appears in journals such as Enzyme and Microbial Technology, RSC Advances, Biotechnology Advances, Journal of Comparative Pathology and Journal of Agricultural and Food Chemistry.

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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