Minna Kahala

87 total papers · 954 total citations
34 papers, 713 citations indexed

About

Minna Kahala is a scholar working on Food Science, Molecular Biology and Agronomy and Crop Science. According to data from OpenAlex, Minna Kahala has authored 34 papers receiving a total of 713 indexed citations (citations by other indexed papers that have themselves been cited), including 17 papers in Food Science, 11 papers in Molecular Biology and 8 papers in Agronomy and Crop Science. Recurrent topics in Minna Kahala's work include Probiotics and Fermented Foods (14 papers), Protein Hydrolysis and Bioactive Peptides (6 papers) and Anaerobic Digestion and Biogas Production (5 papers). Minna Kahala is often cited by papers focused on Probiotics and Fermented Foods (14 papers), Protein Hydrolysis and Bioactive Peptides (6 papers) and Anaerobic Digestion and Biogas Production (5 papers). Minna Kahala collaborates with scholars based in Finland, Slovakia and United States. Minna Kahala's co-authors include Airi Palva, Lucia Blasco, Elina Tampio, Kirsi Savijoki, Vesa Joutsjoki, Saija Rasi, Satu Ervasti, Silja Åvall-Jääskeläinen, Anne Pihlanto and J. L. Steele and has published in prestigious journals such as SHILAP Revista de lepidopterología, PLoS ONE and Applied and Environmental Microbiology.

In The Last Decade

Minna Kahala

32 papers receiving 678 citations

Author Peers

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

Author Last Decade Papers Cites
Minna Kahala 329 318 143 118 82 34 713
Melline Fontes Noronha 246 0.7× 319 1.0× 33 0.2× 103 0.9× 143 1.7× 36 768
E.L. Iannotti 157 0.5× 357 1.1× 227 1.6× 118 1.0× 92 1.1× 38 907
Ramesh K. Kothari 126 0.4× 242 0.8× 46 0.3× 52 0.4× 201 2.5× 48 730
Wei Jin 108 0.3× 281 0.9× 112 0.8× 57 0.5× 268 3.3× 47 823
Amy Logan 495 1.5× 172 0.5× 28 0.2× 173 1.5× 109 1.3× 46 817
Vikram Lanjekar 103 0.3× 470 1.5× 137 1.0× 66 0.6× 50 0.6× 23 774
G. Weenk 269 0.8× 415 1.3× 46 0.3× 165 1.4× 20 0.2× 14 715
Takumi Shinkai 108 0.3× 248 0.8× 120 0.8× 74 0.6× 562 6.9× 28 872
Sung Wook Hong 350 1.1× 306 1.0× 35 0.2× 121 1.0× 16 0.2× 58 856
Kimberley A. C. C. Taylor 123 0.4× 211 0.7× 51 0.4× 99 0.8× 75 0.9× 12 700

Countries citing papers authored by Minna Kahala

Since Specialization
Citations

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

Fields of papers citing papers by Minna Kahala

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Minna Kahala

This figure shows the co-authorship network connecting the top 25 collaborators of Minna Kahala. A scholar is included among the top collaborators of Minna Kahala 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 Minna Kahala. Minna Kahala 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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