Line Munk

15 total papers · 611 total citations
9 papers, 480 citations indexed

About

Line Munk is a scholar working on Biotechnology, Biomedical Engineering and Plant Science. According to data from OpenAlex, Line Munk has authored 9 papers receiving a total of 480 indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Biotechnology, 7 papers in Biomedical Engineering and 6 papers in Plant Science. Recurrent topics in Line Munk's work include Enzyme-mediated dye degradation (5 papers), Lignin and Wood Chemistry (4 papers) and Biochemical and biochemical processes (4 papers). Line Munk is often cited by papers focused on Enzyme-mediated dye degradation (5 papers), Lignin and Wood Chemistry (4 papers) and Biochemical and biochemical processes (4 papers). Line Munk collaborates with scholars based in Denmark and Netherlands. Line Munk's co-authors include Anne S. Meyer, Dayanand C. Kalyani, Jørn Dalgaard Mikkelsen, Mogens L. Andersen, Arjen M. Punt, Mirjam A. Kabel, Sebastián Meier, Jan Muschiol, Ming Liu and Jesper Holck and has published in prestigious journals such as Applied and Environmental Microbiology, Journal of Agricultural and Food Chemistry and Biotechnology Advances.

In The Last Decade

Line Munk

9 papers receiving 473 citations

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author						Papers	Cites
Line Munk	378	248	218	53	51	9	480
H.P. Call	477 1.3×	314 1.3×	132 0.6×	49 0.9×	63 1.2×	6	538
Roelant Hilgers	279 0.7×	176 0.7×	234 1.1×	82 1.5×	25 0.5×	20	470
Sónia Mendes	374 1.0×	233 0.9×	85 0.4×	116 2.2×	38 0.7×	14	518
Yaichi Fukushima	330 0.9×	253 1.0×	115 0.5×	103 1.9×	44 0.9×	12	464
Veselin Stanchev	159 0.4×	170 0.7×	127 0.6×	132 2.5×	71 1.4×	14	455
Ulla Moilanen	241 0.6×	208 0.8×	270 1.2×	210 4.0×	19 0.4×	16	532
Emanuelle Neiverth de Freitas	168 0.4×	111 0.4×	115 0.5×	135 2.5×	82 1.6×	15	420
Shilpa Gupte	295 0.8×	196 0.8×	77 0.4×	74 1.4×	87 1.7×	20	491
Amanda Fillat	314 0.8×	179 0.7×	166 0.8×	90 1.7×	35 0.7×	14	499
Tamilvendan Manavalan	283 0.7×	203 0.8×	189 0.9×	131 2.5×	27 0.5×	11	446

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-authorship network of co-authors of Line Munk

This figure shows the co-authorship network connecting the top 25 collaborators of Line Munk. A scholar is included among the top collaborators of Line Munk based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Line Munk. Line Munk is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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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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