Eva Millesi

1.5k citations
73 papers · 1.1k · h-index 18

Impact in

  • Ecology top 5%
    • Physiological and biochemical adaptations
    • Wildlife Ecology and Conservation
    • Animal Ecology and Behavior Studies
    • Stress Responses and Cortisol

Papers in

Eva Millesi

71 papers receiving 1.1k citations

Peers

Eva Millesi
Comparison fields: 5 of 82
  • Ecology 542
  • Behavioral Neuroscience 54
  • Ecology, Evolution, Behavior and Systematics 271
  • Endocrine and Autonomic Systems 54
  • Small Animals 74
Replace Bronwyn M. McAllan with:
Bronwyn M. McAllan Australia
Vilmos Altbäcker Hungary
Stewart C. Nicol Australia
François Vézina Canada
Michito Shimozuru Japan
Kate Griffiths United Kingdom
Ned J. Place United States
Marisa Puerta Spain
R. Hissa Finland
Cory T. Williams United States
Eva Millesi relative to Bronwyn M. McAllan Australia Bronwyn M. McAllan's profile →
Citations per field
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Bronwyn M. McAllan · 1×
Citations per year

Countries citing papers authored by Eva Millesi

Since Specialization
Citations

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

Fields of papers citing papers by Eva Millesi

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 73 papers — load more, or switch the sort, to bring in the rest.

#Work
1 200199
2 199967
3 199956
4 201254
5 199948
6 199845
7 200743
8 201634
9 200432
10 200731
11 201630
12 200328
13 200224
14 201424
15 200722
16 200121
17 201021
18 200219
19 201218
20 201716

About Eva Millesi

Eva Millesi is a scholar working on Ecology, Ecology, Evolution, Behavior and Systematics, Behavioral Neuroscience, Nutrition and Dietetics and Small Animals, having authored 73 papers that have together received 1.1k indexed citations. Recurring topics across this work include Animal Behavior and Reproduction (17 papers), Physiological and biochemical adaptations (17 papers), Wildlife Ecology and Conservation (13 papers), Animal Ecology and Behavior Studies (10 papers), Fatty Acid Research and Health (10 papers), Stress Responses and Cortisol (7 papers), Animal Behavior and Welfare Studies (6 papers) and Circadian rhythm and melatonin (4 papers). The work is most often cited by research in Ecology (542 citations), Behavioral Neuroscience (54 citations), Ecology, Evolution, Behavior and Systematics (271 citations), Endocrine and Autonomic Systems (54 citations) and Small Animals (74 citations). Eva Millesi has collaborated with scholars based in Austria, Netherlands and Germany. Frequent co-authors include John Dittami, Susanne Huber, Ilse Eva Hoffmann, Bernard Wallner, Hermann Prossinger, Martin Fieder, Manfred Walzl, Thomas Ruf, Serge Daan and Karl‐Heinz Wagner. Their work appears in journals such as PLoS ONE, Hormones and Behavior, Scientific Reports, Journal of Mammalogy and Mammalian Biology.

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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