M.-L. Niku-Paavola

1.9k citations
23 papers · 1.6k indexed · h-index 17
Topics
Enzyme-mediated dye degradation (10 papers)Microbial Metabolism and Applications (5 papers)Enzyme Production and Characterization (5 papers)
Partner nations
FinlandItalyPortugal

In The Last Decade

M.-L. Niku-Paavola

23 papers receiving 1.4k citations

Peers

M.-L. Niku-Paavola
Comparison fields: 5 of 87
  • Plant Science 952
  • Biotechnology 716
  • Biomedical Engineering 441
  • Molecular Biology 399
  • Food Science 293
Replace G. Szakács with:
G. Szakács Hungary
Adiphol Dilokpimol Netherlands
Janusz Szczodrak Poland
Maurice Bensoussan France
B. J. Macris Greece
Eva Kachlishvili Georgia
Zoran Vujčić Serbia
Alejandro Téllez‐Jurado Mexico
Eleonora Cano Carmona Brazil
Carlos E. Hernández-Luna Mexico
M.-L. Niku-Paavola relative to G. Szakács Hungary G. Szakács's profile →
Citations per field
00.5×1.5×2.1×
G. Szakács · 1×
Citations per year

Countries citing papers authored by M.-L. Niku-Paavola

Since Specialization
Citations

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

Fields of papers citing papers by M.-L. Niku-Paavola

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by M.-L. Niku-Paavola. 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 M.-L. Niku-Paavola. The network helps show where M.-L. Niku-Paavola may publish in the future.

Co-authorship network of co-authors of M.-L. Niku-Paavola

This figure shows the co-authorship network connecting the top 25 collaborators of M.-L. Niku-Paavola. A scholar is included among the top collaborators of M.-L. Niku-Paavola 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 M.-L. Niku-Paavola. M.-L. Niku-Paavola is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
#WorkIndexed citations
1 20
2 22
3 55
4 49
5 54
6 286
7 18
8 125
9 113
10 67
11 383
12 44
13 23
14 79
15 9
16 3
17 14
18 38
19 5
20 5

About M.-L. Niku-Paavola

M.-L. Niku-Paavola is a scholar working on Biotechnology, Plant Science and Animal Science and Zoology, having authored 23 papers that have together received 1.6k indexed citations. Recurring topics across this work include Enzyme-mediated dye degradation (10 papers), Microbial Metabolism and Applications (5 papers) and Enzyme Production and Characterization (5 papers). The work is most often cited by research in Biotechnology (716 citations), Plant Science (952 citations) and Food Science (293 citations). M.-L. Niku-Paavola has collaborated with scholars based in Finland, Italy and Portugal. Frequent co-authors include V. Raunio, Liisa Viikari, Arja Laitila, Auli Haikara, T. Mattila-Sandholm, Jonathan C. Knowles, Martti Nummi, Markku Saloheimo, T.‐M. Enari and Johanna Büchert. Their work appears in journals such as Applied and Environmental Microbiology, Bioresource Technology and Biochemical Journal.

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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