Angela Salzano

1.8k total citations
81 papers, 1.3k citations indexed

About

Angela Salzano is a scholar working on Agronomy and Crop Science, Genetics and Animal Science and Zoology. According to data from OpenAlex, Angela Salzano has authored 81 papers receiving a total of 1.3k indexed citations (citations by other indexed papers that have themselves been cited), including 38 papers in Agronomy and Crop Science, 34 papers in Genetics and 22 papers in Animal Science and Zoology. Recurrent topics in Angela Salzano's work include Genetic and phenotypic traits in livestock (28 papers), Reproductive Physiology in Livestock (23 papers) and Reproductive Biology and Fertility (17 papers). Angela Salzano is often cited by papers focused on Genetic and phenotypic traits in livestock (28 papers), Reproductive Physiology in Livestock (23 papers) and Reproductive Biology and Fertility (17 papers). Angela Salzano collaborates with scholars based in Italy, China and Australia. Angela Salzano's co-authors include Gianluca Neglia, Giuseppe Campanile, B. Gasparrini, G. Zullo, Aixin Liang, Michael J. D’Occhio, Valentina Longobardi, Liguo Yang, Tamir Chandra and Maria Luisa Balestrieri and has published in prestigious journals such as SHILAP Revista de lepidopterología, Journal of Cleaner Production and Scientific Reports.

In The Last Decade

Angela Salzano

77 papers receiving 1.2k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Angela Salzano Italy 21 374 346 332 251 250 81 1.3k
Guohua Hua China 24 495 1.3× 313 0.9× 598 1.8× 124 0.5× 320 1.3× 72 1.6k
Yanfen Ma China 19 483 1.3× 214 0.6× 590 1.8× 153 0.6× 85 0.3× 66 1.2k
Raj Duggavathi Canada 23 357 1.0× 434 1.3× 425 1.3× 81 0.3× 503 2.0× 62 1.4k
Anna Hrabia Poland 20 355 0.9× 125 0.4× 228 0.7× 267 1.1× 168 0.7× 78 1.0k
Ralf Pöhland Germany 18 134 0.4× 166 0.5× 269 0.8× 68 0.3× 267 1.1× 36 909
Dorota Lechniak Poland 21 346 0.9× 238 0.7× 366 1.1× 73 0.3× 650 2.6× 84 1.1k
W. Kanitz Germany 25 537 1.4× 860 2.5× 534 1.6× 209 0.8× 1.2k 4.8× 89 2.1k
Chunchun Han China 20 247 0.7× 56 0.2× 508 1.5× 244 1.0× 88 0.4× 113 1.1k
Chao Xiao China 14 138 0.4× 100 0.3× 353 1.1× 128 0.5× 181 0.7× 39 1.3k
Izabela Wocławek-Potocka Poland 27 358 1.0× 833 2.4× 325 1.0× 78 0.3× 531 2.1× 87 1.8k

Countries citing papers authored by Angela Salzano

Since Specialization
Citations

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

Fields of papers citing papers by Angela Salzano

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Angela Salzano

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

All Works

20 of 20 papers shown
1.
Pasquino, Nicola, et al.. (2025). Comparison of K-Means and Hierarchical Clustering Methods for Buffalo Milk Production Data. Animals. 15(22). 3246–3246.
2.
Tamburis, Oscar, et al.. (2024). Investigation of Climate Effects on the Physiological Parameters of Dairy Livestock (Cow vs. Buffalo). Sensors. 24(4). 1164–1164. 2 indexed citations
3.
Hostens, Miel, et al.. (2024). Short review of current limits and challenges of application of machine learning algorithms in the dairy sector. ACTA IMEKO. 13(1). 1–7. 5 indexed citations
4.
Pasquino, Nicola, et al.. (2024). Buffalo welfare: a literature review from 1992 to 2023 with a text mining and topic analysis approach. Italian Journal of Animal Science. 23(1). 570–584. 6 indexed citations
5.
Tamburis, Oscar, et al.. (2023). ‘Smart’ Buffalo Weight Estimation via Digital Technologies: Experiences from South Italy. Studies in health technology and informatics. 302. 895–896. 2 indexed citations
6.
Angrisani, Leopoldo, Gianluca Neglia, Angela Salzano, et al.. (2023). Reliable use of smart cameras for monitoring biometric parameters in buffalo precision livestock farming. ACTA IMEKO. 12(4). 1–7. 2 indexed citations
7.
8.
Damiano, Sara, Consiglia Longobardi, Angela Salzano, et al.. (2022). Red orange and lemon extract preserve from oxidative stress, DNA damage and inflammatory status in lambs. Italian Journal of Animal Science. 21(1). 934–942. 8 indexed citations
9.
Maggiolino, Aristide, Andrea Bragaglio, Angela Salzano, et al.. (2021). Dietary supplementation of suckling lambs with anthocyanins: Effects on growth, carcass, oxidative and meat quality traits. Animal Feed Science and Technology. 276. 114925–114925. 27 indexed citations
10.
Felice, Elena De, Sara Damiano, Angela Salzano, et al.. (2021). Distinct Pattern of NPY in Gastro–Entero–Pancreatic System of Goat Kids Fed with a New Standardized Red Orange and Lemon Extract (RLE). Animals. 11(2). 449–449. 9 indexed citations
11.
Salzano, Angela, Sara Damiano, Livia D’Angelo, et al.. (2021). Productive Performance and Meat Characteristics of Kids Fed a Red Orange and Lemon Extract. Animals. 11(3). 809–809. 17 indexed citations
12.
Borriello, Giorgia, Sergio Bolletti Censi, Angela Salzano, et al.. (2021). Different Non-Structural Carbohydrates/Crude Proteins (NCS/CP) Ratios in Diet Shape the Gastrointestinal Microbiota of Water Buffalo. Veterinary Sciences. 8(6). 96–96. 6 indexed citations
13.
Salzano, Angela, Raffaele Marrone, Michael J. D’Occhio, et al.. (2021). Effect of Breeding Techniques and Prolonged Post Dry Aging Maturation Process on Biomolecule Levels in Raw Buffalo Meat. Veterinary Sciences. 8(4). 66–66. 10 indexed citations
14.
Landi, Vincenzo, Aristide Maggiolino, Angela Salzano, et al.. (2021). Evaluation of Different Test-Day Milk Recording Protocols by Wood’s Model Application for the Estimation of Dairy Goat Milk and Milk Constituent Yield. Animals. 11(4). 1058–1058. 1 indexed citations
15.
Conway, Bryan R., Eoin O’Sullivan, Carolynn Cairns, et al.. (2020). Kidney Single-Cell Atlas Reveals Myeloid Heterogeneity in Progression and Regression of Kidney Disease. Journal of the American Society of Nephrology. 31(12). 2833–2854. 130 indexed citations
16.
Neglia, Gianluca, et al.. (2020). Reproductive management in buffalo by artificial insemination. Theriogenology. 150. 166–172. 36 indexed citations
17.
Presicce, Giorgio Antonio, Gianluca Neglia, Angela Salzano, et al.. (2019). Efficacy of repeated ovum pick-up in Podolic cattle for preservation strategies: a pilot study. Italian Journal of Animal Science. 19(1). 31–40. 1 indexed citations
18.
Teo, Yee Voan, Nattaphong Rattanavirotkul, Nelly Olova, et al.. (2019). Notch Signaling Mediates Secondary Senescence. Cell Reports. 27(4). 997–1007.e5. 98 indexed citations
19.
Li, Jun, Giuseppe Campanile, Graham Plastow, et al.. (2018). Novel insights into the genetic basis of buffalo reproductive performance. BMC Genomics. 19(1). 814–814. 30 indexed citations
20.
Grassi, Roberto, et al.. (1994). La videoproctografia (VPG) nello studio del prolasso mucoso rettale e della intussuscezione rettale.. Annali Italiani di Chirurgia. 65(2). 167–170.

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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