Nadja Wielebnowski
- Small Animals top 0.2%
- Animal Behavior and Welfare Studies 31
- Developmental Biology top 5%
- Animal Science and Zoology top 2%
- Effects of Environmental Stressors on Livestock 9
- Animal Nutrition and Physiology 3
- Ecology top 5%
- Wildlife Ecology and Conservation 13
- Genetics top 5%
- Human-Animal Interaction Studies 10
- Genetic and phenotypic traits in livestock 6
-
- Animal Behavior and Reproduction 9
-
- Reproductive Physiology in Livestock 7
- Co-authors
- Jessica C. WhithamJanine L. BrownKathy CarlsteadJuan M. BussoJason V. WattersAstrid BellemJeffrey R. LucasKerry V. Fanson
- Partner nations
- United StatesAustraliaUnited Kingdom
In The Last Decade
Nadja Wielebnowski
37 papers receiving 1.4k citations
Peers
Comparison fields: 5 of 81
- Small Animals 1.0k
- Developmental Biology 67
- Animal Science and Zoology 287
- Ecology 642
- Genetics 677
Countries citing papers authored by Nadja Wielebnowski
This map shows the geographic impact of Nadja Wielebnowski'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 Nadja Wielebnowski with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Nadja Wielebnowski more than expected).
Fields of papers citing papers by Nadja Wielebnowski
This network shows the impact of papers produced by Nadja Wielebnowski. 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 Nadja Wielebnowski. The network helps show where Nadja Wielebnowski may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Nadja Wielebnowski, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2025 | 1 | |
| 2 | 2020 | 21 | |
| 3 | 2020 | 7 | |
| 4 | Stress as an adaptation II: Does experimental cortisol supplementation affect predation risk assessment in foraging gerbils? | 2017 | 6 |
| 5 | Stress as an adaptation I: Stress hormones are correlated with optimal foraging behaviour of gerbils under the risk of predation | 2017 | 12 |
| 6 | 2016 | 1 | |
| 7 | 2013 | 10 | |
| 8 | 2013 | 187 | |
| 9 | 2011 | 44 | |
| 10 | 2010 | 32 | |
| 11 | 2010 | 18 | |
| 12 | 2009 | 13 | |
| 13 | 2009 | 94 | |
| 14 | 2007 | 13 | |
| 15 | 2007 | 61 | |
| 16 | 2004 | 67 | |
| 17 | 2004 | 29 | |
| 18 | 2003 | 75 | |
| 19 | 1995 | 35 | |
| 20 | 1995 | 2 |
About Nadja Wielebnowski
Nadja Wielebnowski is a scholar working on Small Animals, Animal Science and Zoology and Agronomy and Crop Science, having authored 38 papers that have together received 1.5k indexed citations. Recurring topics across this work include Animal Behavior and Welfare Studies (31 papers), Wildlife Ecology and Conservation (13 papers), Human-Animal Interaction Studies (10 papers), Effects of Environmental Stressors on Livestock (9 papers), Animal Behavior and Reproduction (9 papers), Reproductive Physiology in Livestock (7 papers), Genetic and phenotypic traits in livestock (6 papers) and Animal Nutrition and Physiology (3 papers). The work is most often cited by research in Small Animals (1.0k citations), Developmental Biology (67 citations) and Animal Science and Zoology (287 citations). Nadja Wielebnowski has collaborated with scholars based in United States, Australia and United Kingdom. Frequent co-authors include Jessica C. Whitham, Janine L. Brown, Kathy Carlstead, Juan M. Busso, Jason V. Watters, Astrid Bellem, Jeffrey R. Lucas, Kerry V. Fanson, K. Ziegler and Tanya M. Shenk. Their work appears in journals such as PLoS ONE, Trends in Ecology & Evolution and Conservation 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.