Emanuela Tullo

51 total papers · 1.3k total citations
32 papers, 984 citations indexed

About

Emanuela Tullo is a scholar working on Animal Science and Zoology, Small Animals and Agronomy and Crop Science. According to data from OpenAlex, Emanuela Tullo has authored 32 papers receiving a total of 984 indexed citations (citations by other indexed papers that have themselves been cited), including 20 papers in Animal Science and Zoology, 19 papers in Small Animals and 6 papers in Agronomy and Crop Science. Recurrent topics in Emanuela Tullo's work include Animal Behavior and Welfare Studies (18 papers), Animal Nutrition and Physiology (11 papers) and Effects of Environmental Stressors on Livestock (6 papers). Emanuela Tullo is often cited by papers focused on Animal Behavior and Welfare Studies (18 papers), Animal Nutrition and Physiology (11 papers) and Effects of Environmental Stressors on Livestock (6 papers). Emanuela Tullo collaborates with scholars based in Italy, Belgium and Ireland. Emanuela Tullo's co-authors include M. Guarino, Alberto Finzi, I. Fontana, Daniël Berckmans, Andrew Butterworth, Tomás Norton, Erik Vranken, Alberto Peña Fernández, Vasileios Exadaktylos and Claudia Bahr and has published in prestigious journals such as PLoS ONE, The Science of The Total Environment and Journal of Dairy Science.

In The Last Decade

Emanuela Tullo

32 papers receiving 954 citations

Hit Papers

Review: Environmental imp... 2018 2026 2020 2023 2018 50 100 150 200 250

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author Last Decade Papers Cites
Emanuela Tullo 501 472 180 154 104 32 984
Sabrina Lomax 675 1.3× 436 0.9× 188 1.0× 81 0.5× 243 2.3× 56 1.1k
C. M. Wathes 377 0.8× 461 1.0× 110 0.6× 65 0.4× 116 1.1× 57 1.1k
Johannes Baumgartner 531 1.1× 458 1.0× 99 0.6× 103 0.7× 143 1.4× 38 836
Yueju Xue 395 0.8× 211 0.4× 151 0.8× 81 0.5× 58 0.6× 30 896
Christina Umstätter 463 0.9× 395 0.8× 161 0.9× 156 1.0× 246 2.4× 48 1.0k
Abozar Nasirahmadi 370 0.7× 278 0.6× 283 1.6× 70 0.5× 54 0.5× 34 1.1k
Xiao Yang 234 0.5× 328 0.7× 98 0.5× 58 0.4× 35 0.3× 74 945
Dave L. Swain 236 0.5× 167 0.4× 157 0.9× 118 0.8× 125 1.2× 34 954
Giovanni Cascone 319 0.6× 337 0.7× 235 1.3× 115 0.7× 65 0.6× 61 930
V. Ferrante 579 1.2× 758 1.6× 80 0.4× 164 1.1× 143 1.4× 71 1.2k

Countries citing papers authored by Emanuela Tullo

Since Specialization
Citations

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

Fields of papers citing papers by Emanuela Tullo

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Emanuela Tullo

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

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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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