Peter Kube

1.4k citations
55 papers · 1.1k · h-index 24

Impact in

Papers in

Peter Kube

53 papers receiving 1.1k citations

Peers

Peter Kube
Comparison fields: 5 of 63
  • Aquatic Science 297
  • Nature and Landscape Conservation 344
  • Physiology 67
  • Immunology 268
  • Building and Construction 178
Replace Qingyin Wang with:
Qingyin Wang China
Meisheng Yi China
Louis Evans Australia
Zhihua Lin China
Krishna R. Salin Thailand
Md Asaduzzaman Bangladesh
Guoqiang Huang China
Jelena Kolarevic Norway
Zunchun Zhou China
Peter Kube relative to Qingyin Wang China Qingyin Wang's profile →
Citations per field
00.5×10×15×22.3×
Qingyin Wang · 1×
Citations per year

Countries citing papers authored by Peter Kube

Since Specialization
Citations

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

Fields of papers citing papers by Peter Kube

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Peter Kube, 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 Peter Kube Line = papers co-authored together Peter Kube links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 55 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2009115
2 201367
3 200958
4 201258
5
Applications of NIR spectroscopy to forest research
200056
6 200454
7 201642
8 201837
9
Genetic parameters for diameter, basic density, cellulose content and fibre properties for Eucalyptus nitens
200136
10 200735
11 200732
12 202131
13
Prediction of whole-tree basic density and pulp yield using wood core samples in Eucalyptus nitens
200230
14 201429
15 201029
16 200329
17 200527
18 201927
19 201027
20 200626

About Peter Kube

Peter Kube is a scholar working on Nature and Landscape Conservation, Global and Planetary Change, Genetics, Aquatic Science and Building and Construction, having authored 55 papers that have together received 1.1k indexed citations. Recurring topics across this work include Marine Bivalve and Aquaculture Studies (16 papers), Aquaculture Nutrition and Growth (12 papers), Genetic and phenotypic traits in livestock (12 papers), Forest ecology and management (12 papers), Fish Ecology and Management Studies (11 papers), Wood Treatment and Properties (10 papers), Aquaculture disease management and microbiota (6 papers) and Marine and fisheries research (5 papers). The work is most often cited by research in Aquatic Science (297 citations), Nature and Landscape Conservation (344 citations), Physiology (67 citations), Immunology (268 citations) and Building and Construction (178 citations). Peter Kube has collaborated with scholars based in Australia, United States and Norway. Frequent co-authors include Nicholas G. Elliott, Richard Taylor, Carolyn A Raymond, Laurence R. Schimleck, WJ Müller, Mathew T. Cook, Klara Verbyla, Bradley S. Evans, James Kijas and Malcolm R. Brown. Their work appears in journals such as Aquaculture, Australian Forestry, Appita journal, Canadian Journal of Forest Research and Forest Ecology and Management.

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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