X. Such

2.1k total citations
72 papers, 1.5k citations indexed

About

X. Such is a scholar working on Agronomy and Crop Science, Animal Science and Zoology and Genetics. According to data from OpenAlex, X. Such has authored 72 papers receiving a total of 1.5k indexed citations (citations by other indexed papers that have themselves been cited), including 48 papers in Agronomy and Crop Science, 34 papers in Animal Science and Zoology and 31 papers in Genetics. Recurrent topics in X. Such's work include Genetic and phenotypic traits in livestock (30 papers), Effects of Environmental Stressors on Livestock (30 papers) and Milk Quality and Mastitis in Dairy Cows (23 papers). X. Such is often cited by papers focused on Genetic and phenotypic traits in livestock (30 papers), Effects of Environmental Stressors on Livestock (30 papers) and Milk Quality and Mastitis in Dairy Cows (23 papers). X. Such collaborates with scholars based in Spain, United Kingdom and Italy. X. Such's co-authors include G. Caja, A. A. K. Salama, Elena Albanell, R. Casals, Maristela Rovai, Moez Ayadi, Christopher H. Knight, S. Hamzaoui, J. Casellas and J. Plaixats and has published in prestigious journals such as SHILAP Revista de lepidopterología, PLoS ONE and Scientific Reports.

In The Last Decade

X. Such

70 papers receiving 1.4k citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
X. Such Spain	25	998	711	588	219	217	72	1.5k
K. Holtenius Sweden	26	1.7k 1.7×	568 0.8×	905 1.5×	106 0.5×	155 0.7×	83	2.1k
C. Castríllo Spain	25	1.1k 1.1×	418 0.6×	374 0.6×	125 0.6×	142 0.7×	80	1.5k
Márcio Machado Ladeira Brazil	22	624 0.6×	924 1.3×	415 0.7×	134 0.6×	142 0.7×	98	1.5k
A. Muscio Italy	20	500 0.5×	604 0.8×	308 0.5×	229 1.0×	134 0.6×	33	1.1k
J. P. Schoonmaker United States	22	807 0.8×	746 1.0×	589 1.0×	87 0.4×	190 0.9×	88	1.6k
A.T.M. van Knegsel Netherlands	29	1.9k 1.9×	772 1.1×	1.3k 2.2×	117 0.5×	211 1.0×	84	2.4k
J.W. Fuquay United States	14	753 0.8×	692 1.0×	486 0.8×	280 1.3×	124 0.6×	30	1.5k
F. L. Fluharty United States	28	1.3k 1.3×	1.1k 1.5×	785 1.3×	112 0.5×	165 0.8×	87	2.2k
Sam De Campeneere Belgium	21	680 0.7×	613 0.9×	328 0.6×	119 0.5×	76 0.4×	76	1.2k
F. Piccioli-Cappelli Italy	19	869 0.9×	511 0.7×	322 0.5×	97 0.4×	100 0.5×	73	1.2k

Countries citing papers authored by X. Such

Since Specialization

Citations

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

Fields of papers citing papers by X. Such

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of X. Such

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

All Works

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20 of 20 papers shown

Martínez, Amparo, Juan Vicente Delgado Bermejo, Anna Castelló, et al.. (2023). Single and longitudinal genome‐wide association studies for dairy traits available in goats with three recorded lactations. Animal Genetics. 55(2). 257–264. 3 indexed citations

Llonch, Pol, et al.. (2023). Sheep welfare assessment of meat farms from Spain in different breeds and production systems. SHILAP Revista de lepidopterología. 4. 1 indexed citations

Llonch, Pol, et al.. (2020). Prenatal heat stress effects on gestation and postnatal behavior in kid goats. PLoS ONE. 15(2). e0220221–e0220221. 11 indexed citations

Guan, Dailu, Vincenzo Landi, Juan Vicente Delgado Bermejo, et al.. (2020). Analyzing the genomic and transcriptomic architecture of milk traits in Murciano-Granadina goats. Journal of Animal Science and Biotechnology. 11(1). 35–35. 20 indexed citations

Hamzaoui, S., A. A. K. Salama, G. Caja, Elena Albanell, & X. Such. (2013). Supplementation with soybean oil increases milk fat and improves the fatty acid profile in heat-stressed dairy goats.. 679–681. 2 indexed citations

Hamzaoui, S., A. A. K. Salama, Elena Albanell, X. Such, & G. Caja. (2013). Physiological responses and lactational performances of late-lactation dairy goats under heat stress conditions. Journal of Dairy Science. 96(10). 6355–6365. 140 indexed citations

Such, X., et al.. (2009). Long- and short-term effects of omitting two weekend milkings on the lactational performance and mammary tight junction permeability of dairy ewes. Journal of Dairy Science. 92(8). 3684–3695. 13 indexed citations

Casals, R., et al.. (2008). Feeding Soybean Oil to Dairy Goats Increases Conjugated Linoleic Acid in Milk. Journal of Dairy Science. 91(6). 2399–2407. 79 indexed citations

Such, X., et al.. (2008). Effect of Milking Interval on Milk Secretion and Mammary Tight Junction Permeability in Dairy Ewes. Journal of Dairy Science. 91(7). 2610–2619. 41 indexed citations

10.

Salama, A. A. K., et al.. (2008). Response to Lactation Induction Differs by Season of Year and Breed of Dairy Ewes. Journal of Dairy Science. 91(6). 2299–2306. 10 indexed citations

11.

Salama, A. A. K., et al.. (2007). Mammogenesis and Induced Lactation With or Without Reserpine in Nulliparous Dairy Goats. Journal of Dairy Science. 90(8). 3751–3757. 7 indexed citations

12.

Casellas, J., G. Caja, X. Such, & J. Piedrafita. (2007). Survival analysis from birth to slaughter of Ripollesa lambs under semi-intensive management1. Journal of Animal Science. 85(2). 512–517. 35 indexed citations

13.

Parés‐Casanova, Pere M., et al.. (2006). Races autòctones, la protecció d'un patrimoni col.lectiu. 30–34.

14.

Caja, G., A. A. K. Salama, & X. Such. (2006). Omitting the Dry-Off Period Negatively Affects Colostrum and Milk Yield in Dairy Goats. Journal of Dairy Science. 89(11). 4220–4228. 43 indexed citations

15.

Castillo, Víctor, X. Such, G. Caja, R. Casals, & Elena Albanell. (2005). Effects of once- versus twice-daily milking on milk yield and milk composition in Manchega and Lacaune dairy ewes.. 252–254. 2 indexed citations

16.

Salama, A. A. K., G. Caja, X. Such, R. Casals, & Elena Albanell. (2005). Effect of Pregnancy and Extended Lactation on Milk Production in Dairy Goats Milked Once Daily. Journal of Dairy Science. 88(11). 3894–3904. 37 indexed citations

17.

Ayadi, Moez, G. Caja, X. Such, & Christopher H. Knight. (2003). Use of ultrasonography to estimate cistern size and milk storage at different milking intervals in the udder of dairy cows. Journal of Dairy Research. 70(1). 1–7. 81 indexed citations

18.

Salama, A. A. K., X. Such, G. Caja, et al.. (2003). Effects of Once Versus Twice Daily Milking Throughout Lactation on Milk Yield and Milk Composition in Dairy Goats. Journal of Dairy Science. 86(5). 1673–1680. 82 indexed citations

19.

Such, X., et al.. (2002). Changes in cisternal and alveolar milk throughout lactation in dairy sheep. Journal of Dairy Science. 85. 4–4. 6 indexed citations

20.

Caja, G., et al.. (1997). Influence of Kid Rearing Systems on Milk Composition and Yield of Murciano-Granadina Dairy Goats. Journal of Dairy Science. 80(12). 3249–3255. 43 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.

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