Sarah Kappel

422 total citations
10 papers, 280 citations indexed

About

Sarah Kappel is a scholar working on Genetics, Small Animals and Social Psychology. According to data from OpenAlex, Sarah Kappel has authored 10 papers receiving a total of 280 indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Genetics, 6 papers in Small Animals and 3 papers in Social Psychology. Recurrent topics in Sarah Kappel's work include Human-Animal Interaction Studies (8 papers), Animal Behavior and Welfare Studies (6 papers) and Neuroendocrine regulation and behavior (3 papers). Sarah Kappel is often cited by papers focused on Human-Animal Interaction Studies (8 papers), Animal Behavior and Welfare Studies (6 papers) and Neuroendocrine regulation and behavior (3 papers). Sarah Kappel collaborates with scholars based in United Kingdom, Canada and Japan. Sarah Kappel's co-authors include Michael Mendl, Penny Hawkins, M.A.G. von Keyserlingk, Daniel M. Weary, Benjamin Lecorps, Carole Fureix, Océane Schmitt, David C Barrett, Helen R. Whay and Joanna C. Murrell and has published in prestigious journals such as PLoS ONE, Scientific Reports and Neuroscience & Biobehavioral Reviews.

In The Last Decade

Sarah Kappel

9 papers receiving 278 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Sarah Kappel United Kingdom 7 141 86 54 53 39 10 280
Elin M. Weber Sweden 10 164 1.2× 67 0.8× 110 2.0× 30 0.6× 61 1.6× 17 399
Maria Cristina Osella Italy 7 147 1.0× 202 2.3× 68 1.3× 39 0.7× 14 0.4× 13 306
Megan R. LaFollette United States 10 162 1.1× 154 1.8× 115 2.1× 10 0.2× 39 1.0× 22 333
Míriam Marcet‐Rius Mexico 12 183 1.3× 116 1.3× 60 1.1× 114 2.2× 13 0.3× 28 306
Eimear Murphy Switzerland 14 332 2.4× 177 2.1× 150 2.8× 150 2.8× 80 2.1× 16 578
Godelieve Kranendonk Netherlands 10 209 1.5× 111 1.3× 117 2.2× 126 2.4× 79 2.0× 14 379
Kelly Gouveia United Kingdom 4 203 1.4× 88 1.0× 113 2.1× 24 0.5× 85 2.2× 5 400
Andrew S. Lang United States 11 44 0.3× 49 0.6× 31 0.6× 34 0.6× 25 0.6× 16 329
Aoxing Liu China 14 46 0.3× 321 3.7× 44 0.8× 109 2.1× 90 2.3× 30 527
James Stevenson United States 9 163 1.2× 186 2.2× 47 0.9× 137 2.6× 23 0.6× 10 539

Countries citing papers authored by Sarah Kappel

Since Specialization
Citations

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

Fields of papers citing papers by Sarah Kappel

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Sarah Kappel

This figure shows the co-authorship network connecting the top 25 collaborators of Sarah Kappel. A scholar is included among the top collaborators of Sarah Kappel 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 Sarah Kappel. Sarah Kappel is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

10 of 10 papers shown
1.
Kappel, Sarah, Sarah M. Collins, Michael Mendl, & Carole Fureix. (2024). Looking out for danger: Theoretical and empirical issues in translating human attention bias tasks to assess animal affective states. Neuroscience & Biobehavioral Reviews. 169. 105980–105980. 2 indexed citations
2.
Kappel, Sarah, et al.. (2024). Measuring affect-related attention bias to emotionally valenced visual stimuli in horses. Applied Animal Behaviour Science. 275. 106303–106303.
3.
Kappel, Sarah, et al.. (2023). Do you see what I see? Testing horses’ ability to recognise real-life objects from 2D computer projections. Animal Cognition. 26(4). 1147–1159. 3 indexed citations
4.
Kappel, Sarah, et al.. (2021). Learning from lockdown - Assessing the positive and negative experiences, and coping strategies of researchers during the COVID-19 pandemic. Applied Animal Behaviour Science. 236. 105269–105269. 29 indexed citations
5.
Kappel, Sarah, et al.. (2019). Measuring affect-related cognitive bias: Do mice in opposite affective states react differently to negative and positive stimuli?. PLoS ONE. 14(12). e0226438–e0226438. 6 indexed citations
6.
Lecorps, Benjamin, Sarah Kappel, Daniel M. Weary, & M.A.G. von Keyserlingk. (2019). Social proximity in dairy calves is affected by differences in pessimism. PLoS ONE. 14(10). e0223746–e0223746. 20 indexed citations
8.
Lecorps, Benjamin, Sarah Kappel, Daniel M. Weary, & M.A.G. von Keyserlingk. (2018). Dairy calves’ personality traits predict social proximity and response to an emotional challenge. Scientific Reports. 8(1). 16350–16350. 46 indexed citations
9.
Kappel, Sarah, Michael Mendl, David C Barrett, Joanna C. Murrell, & Helen R. Whay. (2017). Lateralized behaviour as indicator of affective state in dairy cows. PLoS ONE. 12(9). e0184933–e0184933. 17 indexed citations
10.
Kappel, Sarah, Penny Hawkins, & Michael Mendl. (2017). To Group or Not to Group? Good Practice for Housing Male Laboratory Mice. Animals. 7(12). 88–88. 137 indexed citations

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.

Explore authors with similar magnitude of impact

Rankless by CCL
2026