Perla S Eusebio

403 total citations
10 papers, 313 citations indexed

About

Perla S Eusebio is a scholar working on Aquatic Science, Ecology and Animal Science and Zoology. According to data from OpenAlex, Perla S Eusebio has authored 10 papers receiving a total of 313 indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Aquatic Science, 4 papers in Ecology and 4 papers in Animal Science and Zoology. Recurrent topics in Perla S Eusebio's work include Aquaculture Nutrition and Growth (8 papers), Animal Nutrition and Physiology (4 papers) and Aquaculture disease management and microbiota (3 papers). Perla S Eusebio is often cited by papers focused on Aquaculture Nutrition and Growth (8 papers), Animal Nutrition and Physiology (4 papers) and Aquaculture disease management and microbiota (3 papers). Perla S Eusebio collaborates with scholars based in Philippines, Australia and Japan. Perla S Eusebio's co-authors include Relicardo M. Coloso, Myrna N Bautista-Teruel, Mae R. Catacutan, Shin‐ichi Teshima, Roger Edward P. Mamauag, Ilda G. Borlongan, K.J. Hanford, Helen S. Marcial, Erlinda R. Cruz-Lacierda and R. J. G. Lester and has published in prestigious journals such as Aquaculture, Poultry Science and Aquaculture Research.

In The Last Decade

Perla S Eusebio

10 papers receiving 266 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Perla S Eusebio Philippines 10 270 100 88 56 41 10 313
Chhorn Lim 7 224 0.8× 56 0.6× 111 1.3× 33 0.6× 46 1.1× 9 282
Ofelia S. Reyes Philippines 10 417 1.5× 69 0.7× 203 2.3× 73 1.3× 130 3.2× 17 512
Christian Lückstädt Germany 11 305 1.1× 62 0.6× 175 2.0× 92 1.6× 37 0.9× 23 414
Jan Sunde Norway 10 302 1.1× 62 0.6× 153 1.7× 103 1.8× 108 2.6× 13 410
Lauro Vargas Brazil 12 390 1.4× 57 0.6× 100 1.1× 36 0.6× 76 1.9× 79 529
L.J. KLING United States 11 412 1.5× 51 0.5× 116 1.3× 83 1.5× 190 4.6× 23 527
Robert A. Winfree United States 9 455 1.7× 36 0.4× 272 3.1× 93 1.7× 161 3.9× 12 520
Milena Fumanal Spain 9 333 1.2× 34 0.3× 320 3.6× 31 0.6× 22 0.5× 9 411
Higo Andrade Abe Brazil 11 229 0.8× 45 0.5× 165 1.9× 12 0.2× 28 0.7× 45 322
Gary Reinitz United States 13 416 1.5× 57 0.6× 211 2.4× 93 1.7× 178 4.3× 21 479

Countries citing papers authored by Perla S Eusebio

Since Specialization
Citations

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

Fields of papers citing papers by Perla S Eusebio

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Perla S Eusebio. 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 Perla S Eusebio. The network helps show where Perla S Eusebio may publish in the future.

Co-authorship network of co-authors of Perla S Eusebio

This figure shows the co-authorship network connecting the top 25 collaborators of Perla S Eusebio. A scholar is included among the top collaborators of Perla S Eusebio 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 Perla S Eusebio. Perla S Eusebio 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.
Eusebio, Perla S, et al.. (2020). The effects of 2 genetic lines on spatial distribution and use and preference of perch and nest area in an aviary system. Poultry Science. 99(7). 3328–3333. 11 indexed citations
2.
Eusebio, Perla S, et al.. (2010). Nutritional evaluation of mysids Mesopodopsis orientalis (Crustacea:Mysida) as live food for grouper Epinephelus fuscoguttatus larvae. Aquaculture. 306(1-4). 289–294. 13 indexed citations
3.
Eusebio, Perla S, Relicardo M. Coloso, & Roger Edward P. Mamauag. (2004). Apparent digestibility of selected ingredients in diets for juvenile grouper, Epinephelus coioides (Hamilton). Aquaculture Research. 35(13). 1261–1269. 51 indexed citations
4.
Bautista-Teruel, Myrna N, et al.. (2003). Utilization of feed pea, Pisum sativum, meal as a protein source in practical diets for juvenile tiger shrimp, Penaeus monodon. Aquaculture. 225(1-4). 121–131. 62 indexed citations
5.
Borlongan, Ilda G., et al.. (2003). Potential of feed pea (Pisum sativum) meal as a protein source in practical diets for milkfish (Chanos chanos Forsskal). Aquaculture. 225(1-4). 89–98. 36 indexed citations
6.
Eusebio, Perla S & Relicardo M. Coloso. (2002). Proteolytic enzyme activity of juvenile Asian sea bass,Lates calcarifer(Bloch), is increased with protein intake. Aquaculture Research. 33(8). 569–574. 15 indexed citations
7.
Catacutan, Mae R., Perla S Eusebio, & Shin‐ichi Teshima. (2002). Apparent digestibility of selected feedstuffs by mud crab, Scylla serrata. Aquaculture. 216(1-4). 253–261. 54 indexed citations
8.
Cruz-Lacierda, Erlinda R., et al.. (2001). Occurrence and histopathogenesis of a didymozoid trematode (Gonapodasmius epinepheli) in pond-reared orange-spotted grouper, Epinephelus coioides. Aquaculture. 201(3-4). 211–217. 11 indexed citations
9.
Eusebio, Perla S & Relicardo M. Coloso. (1998). Evaluation of leguminous seed meals and leaf meals as plant protein sources in diets for juvenile Penaeus indicus. SEAFDEC/AQD Repository (Southeast Asian Fisheries Development Center). 50(2). 47–54. 24 indexed citations
10.

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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