Outi Muona

1.2k citations
24 papers · 810 indexed · h-index 15
Topics
Forest ecology and management (6 papers)Wheat and Barley Genetics and Pathology (5 papers)Forest Insect Ecology and Management (5 papers)

In The Last Decade

Outi Muona

24 papers receiving 669 citations

Peers

Outi Muona
Comparison fields: 5 of 61
  • Genetics 403
  • Ecology, Evolution, Behavior and Systematics 324
  • Plant Science 313
  • Nature and Landscape Conservation 271
  • Molecular Biology 232
Replace Éric Bandou with:
Éric Bandou France
Norwati Muhammad Malaysia
К. В. Крутовский United States
GF Moran Australia
Elizabeth A. Stacy United States
Paula Marchelli Argentina
Marie‐Hélène Chevallier France
Scott Zona United States
Wilfried Morawetz Austria
Céline Latouche-Hallé French Guiana
Outi Muona relative to Éric Bandou France Éric Bandou's profile →
Citations per field
00.5×1.5×1.8×
Éric Bandou · 1×
Citations per year

Countries citing papers authored by Outi Muona

Since Specialization
Citations

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

Fields of papers citing papers by Outi Muona

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Outi Muona

This figure shows the co-authorship network connecting the top 25 collaborators of Outi Muona. A scholar is included among the top collaborators of Outi Muona 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 Outi Muona. Outi Muona 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 5
2 3
3 7
4 1
5 7
6 19
7 9
8 67
9 29
10 43
11 31
12
Population genetics in forest tree improvement.
75
13
Effective population sizes, genetic variability, and mating system in natural stands and seed orchards of Pinus sylvestris
101
14 90
15 72
16 81
17 63
18 19
19 19
20 7

About Outi Muona

Outi Muona is a scholar working on Nature and Landscape Conservation, Plant Science and Insect Science, having authored 24 papers that have together received 810 indexed citations. Recurring topics across this work include Forest ecology and management (6 papers), Wheat and Barley Genetics and Pathology (5 papers) and Forest Insect Ecology and Management (5 papers). The work is most often cited by research in Nature and Landscape Conservation (271 citations), Ecology, Evolution, Behavior and Systematics (324 citations) and Genetics (403 citations). Outi Muona has collaborated with scholars based in Finland, United States and Sweden. Frequent co-authors include G. F. Moran, J. C. Bell, Anni Harju, Alfred E. Szmidt, Katri Kärkkäinen, Philip W. Hedrick, Reza Yazdani, Dag Rudin, Michael T. Clegg and B. S. Weir. Their work appears in journals such as Genetics, Evolution and Theoretical and Applied Genetics.

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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