H. Yaakub

1.2k total citations
72 papers, 938 citations indexed

About

H. Yaakub is a scholar working on Agronomy and Crop Science, Genetics and Animal Science and Zoology. According to data from OpenAlex, H. Yaakub has authored 72 papers receiving a total of 938 indexed citations (citations by other indexed papers that have themselves been cited), including 39 papers in Agronomy and Crop Science, 22 papers in Genetics and 18 papers in Animal Science and Zoology. Recurrent topics in H. Yaakub's work include Genetic and phenotypic traits in livestock (21 papers), Ruminant Nutrition and Digestive Physiology (21 papers) and Reproductive Physiology in Livestock (16 papers). H. Yaakub is often cited by papers focused on Genetic and phenotypic traits in livestock (21 papers), Ruminant Nutrition and Digestive Physiology (21 papers) and Reproductive Physiology in Livestock (16 papers). H. Yaakub collaborates with scholars based in Malaysia, Ireland and Iran. H. Yaakub's co-authors include Abdul Razak Alimon, Norhani Abdullah, D. O’Callaghan, M.P. Boland, M.P. Boland, L. J. Spicer, M. Ivan, David P. Ryan, Teck Chwen Loh and Hooi Ling Foo and has published in prestigious journals such as SHILAP Revista de lepidopterología, PLoS ONE and Journal of Animal Science.

In The Last Decade

H. Yaakub

66 papers receiving 873 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
H. Yaakub Malaysia 19 496 273 228 169 110 72 938
Davide Rondina Brazil 14 284 0.6× 178 0.7× 164 0.7× 157 0.9× 135 1.2× 88 982
Zarbakht Ansari Pirsaraei Iran 18 217 0.4× 174 0.6× 400 1.8× 81 0.5× 107 1.0× 98 894
Ahmad Riasi Iran 19 415 0.8× 136 0.5× 315 1.4× 84 0.5× 78 0.7× 62 873
D. Rajendran India 10 213 0.4× 96 0.4× 231 1.0× 49 0.3× 57 0.5× 54 761
M. Nisa Pakistan 17 293 0.6× 151 0.6× 392 1.7× 27 0.2× 75 0.7× 66 970
Ahmad Zare Shahneh Iran 24 224 0.5× 211 0.8× 383 1.7× 501 3.0× 167 1.5× 75 1.2k
Hedvig Fébel Hungary 20 530 1.1× 346 1.3× 523 2.3× 31 0.2× 171 1.6× 119 1.4k
Armin Towhidi Iran 22 423 0.9× 176 0.6× 192 0.8× 647 3.8× 94 0.9× 86 1.4k
M. T. See United States 20 152 0.3× 299 1.1× 926 4.1× 47 0.3× 106 1.0× 59 1.5k
Guanyu Hou China 18 242 0.5× 182 0.7× 361 1.6× 31 0.2× 205 1.9× 69 1.0k

Countries citing papers authored by H. Yaakub

Since Specialization
Citations

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

Fields of papers citing papers by H. Yaakub

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of H. Yaakub

This figure shows the co-authorship network connecting the top 25 collaborators of H. Yaakub. A scholar is included among the top collaborators of H. Yaakub 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 H. Yaakub. H. Yaakub 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.
Jelan, Z. A., et al.. (2024). Increasing the nutritive value of a rice straw-based diet using mulberry and <i>Leucaena</i> to promote the growth performance of lambs. South African Journal of Animal Science. 54(3). 326–339.
2.
Alimon, Abdul Razak, et al.. (2021). Effects of vegetable oil supplementation on rumen fermentation and microbial population in ruminant: a review. Tropical Animal Health and Production. 53(4). 422–422. 29 indexed citations
3.
Yaakub, H., et al.. (2019). Nutritive composition of oil palm empty fruit bunch fibers treated with mycelia culture of Lingzhi (Ganoderma lucidum) as a potential ruminant feedstuff.. 22(1). 35–46. 4 indexed citations
4.
Yaakub, H., et al.. (2018). Milk composition and fatty acids profile at different stages of lactation in Jamnapari crossbred goats.. Universiti Putra Malaysia Institutional Repository (Universiti Putra Malaysia). 21(2). 109–122. 2 indexed citations
5.
Sultana, Nasrin, Abdul Razak Alimon, Awis Qurni Sazili, et al.. (2018). Study of meat quality of goats fed rice straw supplemented with Moringa (Moringa oleifera Lam.) foliage. Universiti Putra Malaysia Institutional Repository (Universiti Putra Malaysia). 1 indexed citations
6.
Adeyemi, Kazeem Dauda, Muideen Adewale Ahmed, Mohammad Faseleh Jahromi, et al.. (2018). Influence of Nigella sativa seeds, Rosmarinus officinalis leaves and their combination on growth performance, immune response and rumen metabolism in Dorper lambs. Tropical Animal Health and Production. 50(5). 1011–1023. 30 indexed citations
8.
Yaakub, H., et al.. (2016). In vitro digestibility and gas production characteristics of four Napier (Pennisetum purpureum) cultivars as fresh fodder. SHILAP Revista de lepidopterología. 4 indexed citations
9.
Alimon, Abdul Razak, et al.. (2015). Effect of Feeding Palm Oil By-Products Based Diets on Muscle Fatty Acid Composition in Goats. PLoS ONE. 10(3). e0119756–e0119756. 27 indexed citations
10.
Sultana, Nasrin, et al.. (2014). The effect of cutting interval on yield and nutrient composition of different plant fractions of Moringa oleifera tree. Universiti Putra Malaysia Institutional Repository (Universiti Putra Malaysia). 12(2). 599–604. 22 indexed citations
11.
Yaakub, H., et al.. (2014). Progesterone and luteinising hormone profile of Saanen crossbred goats synchronised with CIDR and PMSG.. 17(1). 95–102. 2 indexed citations
12.
Panandam, Jothi Malar, et al.. (2014). Novel SNPs in heat shock protein 70 gene and their association with sperm quality traits of Boer goats and Boer crosses. Animal Reproduction Science. 146(3-4). 176–181. 24 indexed citations
13.
Muin, Hasniyati, et al.. (2013). Effects of Two CIDR-based Oestrus Synchronization Protocols on Oestrus Response in Boer Goats. 16(2). 29–35. 1 indexed citations
14.
Yaakub, H., et al.. (2012). Effect of bacteria inoculants on corn silage quality. Animal Nutrition and Feed Technology. 12(1). 55–62. 1 indexed citations
15.
Arifah, A. K., et al.. (2012). Effect of breed on cis-9, trans-11 and trans-10, cis-12 Conjugated Linoleic Acids (CLA) concentrations in milk fat of dairy cattle and the relationship of these CLA with other unsaturated C18 fatty acids. Pertanika journal of tropical agricultural science. 35(1). 165–172. 1 indexed citations
16.
Fakurazi, Sharida, et al.. (2011). Zerumbone improved immunoreactivity of neuropeptides in monosodium iodoacetate induced knee osteoarthritis in rat. AFRICAN JOURNAL OF BIOTECHNOLOGY. 10(18). 3646–3653. 3 indexed citations
17.
Yaakub, H., et al.. (2011). Effect of epiphytic lactic acid bacteria isolated from guinea grass on nutritional value of the silages. African Journal of Agricultural Research. 6(19). 4447–4450. 1 indexed citations
18.
Hosseini, Sayyed Morteza, Mehdi Hajian, Mohsen Forouzanfar, et al.. (2011). Epigenetic modification does not determine the time of POU5F1 transcription activation in cloned bovine embryos. Journal of Assisted Reproduction and Genetics. 28(11). 1119–1127. 5 indexed citations
19.
20.
Ryan, David P., S. Snijders, H. Yaakub, & K.J. O’Farrell. (1995). An evaluation of estrus synchronization programs in reproductive management of dairy herds.. Journal of Animal Science. 73(12). 3687–3687. 51 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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