Per Lea

1.6k citations
36 papers · 1.3k indexed · h-index 20

Impact in

Papers in

Per Lea

36 papers receiving 1.2k citations

Peers

Per Lea
Comparison fields: 5 of 108
  • Biochemistry 264
  • Animal Science and Zoology 378
  • Food Science 550
  • Nutrition and Dietetics 233
  • Aquatic Science 95
Replace Marta Suely Madruga with:
Marta Suely Madruga Brazil
María Dolores Garrido Spain
Damian Frank Australia
Erick Saldaña Peru
Il-Suk Kim South Korea
Sari Mäkinen Finland
Vincenzo Chiofalo Italy
İsabel Revilla Spain
Sónia Soares Portugal
Panagiotis Simitzis Greece
Per Lea relative to Marta Suely Madruga Brazil Marta Suely Madruga's profile →
Citations per field
00.5×2.8×
Marta Suely Madruga · 1×
Citations per year

Countries citing papers authored by Per Lea

Since Specialization
Citations

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

Fields of papers citing papers by Per Lea

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 36 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2004118
2 1990114
3 200480
4
Analysis of variance for sensory data
199778
5 200160
6 201458
7 200358
8 200250
9 201650
10 200346
11 199845
12 200844
13 201139
14 201339
15 200235
16 199532
17 201229
18 200929
19 201223
20 201323

About Per Lea

Per Lea is a scholar working on Animal Science and Zoology, Food Science, Plant Science, Nutrition and Dietetics and Biochemistry, having authored 36 papers that have together received 1.3k indexed citations. Recurring topics across this work include Meat and Animal Product Quality (17 papers), Sensory Analysis and Statistical Methods (9 papers), Phytochemicals and Antioxidant Activities (8 papers), Biochemical Analysis and Sensing Techniques (7 papers), Plant Physiology and Cultivation Studies (6 papers), Advanced Chemical Sensor Technologies (4 papers), Animal Nutrition and Physiology (4 papers) and Postharvest Quality and Shelf Life Management (4 papers). The work is most often cited by research in Biochemistry (264 citations), Animal Science and Zoology (378 citations), Food Science (550 citations), Nutrition and Dietetics (233 citations) and Aquatic Science (95 citations). Per Lea has collaborated with scholars based in Norway, United Kingdom and Finland. Frequent co-authors include Marit Rødbotten, Hans J. Rosenfeld, Tormod Næs, Grethe Enersen, Grete Skrede, Ronald E. Wrolstad, Øydis Ueland, Berit Karoline Martinsen, Gunnar Bengtsson and Elin Kubberød. Their work appears in journals such as Food Quality and Preference, Meat Science, The Journal of Horticultural Science and Biotechnology, Journal of the Science of Food and Agriculture and Food Chemistry.

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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