Asing

636 total citations
12 papers, 534 citations indexed

About

Asing is a scholar working on Molecular Biology, Animal Science and Zoology and Nature and Landscape Conservation. According to data from OpenAlex, Asing has authored 12 papers receiving a total of 534 indexed citations (citations by other indexed papers that have themselves been cited), including 11 papers in Molecular Biology, 8 papers in Animal Science and Zoology and 4 papers in Nature and Landscape Conservation. Recurrent topics in Asing's work include Identification and Quantification in Food (11 papers), Meat and Animal Product Quality (8 papers) and Molecular Biology Techniques and Applications (4 papers). Asing is often cited by papers focused on Identification and Quantification in Food (11 papers), Meat and Animal Product Quality (8 papers) and Molecular Biology Techniques and Applications (4 papers). Asing collaborates with scholars based in Malaysia and Bangladesh. Asing's co-authors include Md. Eaqub Ali, Sharifah Bee Abd Hamid, M. A. Motalib Hossain, Md. Abdur Razzak, Md Al Amin, Md Mahfujur Rahman, I.S.M. Zaidul, Sharmin Sultana, Shuhaimi Mustafa and Mohd Nasir Mohd Desa and has published in prestigious journals such as PLoS ONE, Journal of Agricultural and Food Chemistry and Food Chemistry.

In The Last Decade

Asing

12 papers receiving 511 citations

Peers

Asing
Robert C. Coleman United Kingdom
A. Abinawanto Indonesia
R. Quinta Portugal
G. H. Shackell New Zealand
Stephen Martis United States
Asing
Citations per year, relative to Asing Asing (= 1×) peers Amanda M. Naaum

Countries citing papers authored by Asing

Since Specialization
Citations

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

Fields of papers citing papers by Asing

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Asing

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

All Works

12 of 12 papers shown
1.
Sultana, Sharmin, et al.. (2017). Universal mini COI barcode for the identification of fish species in processed products. Food Research International. 105. 19–28. 78 indexed citations
3.
Hossain, M. A. Motalib, Md. Eaqub Ali, Sharmin Sultana, et al.. (2017). Quantitative Tetraplex Real-Time Polymerase Chain Reaction Assay with TaqMan Probes Discriminates Cattle, Buffalo, and Porcine Materials in Food Chain. Journal of Agricultural and Food Chemistry. 65(19). 3975–3985. 37 indexed citations
4.
Asing, Md. Eaqub Ali, Sharifah Bee Abd Hamid, et al.. (2016). Lab-on-a-Chip-Based PCR-RFLP Assay for the Detection of Malayan Box Turtle (Cuora amboinensis) in the Food Chain and Traditional Chinese Medicines. PLoS ONE. 11(10). e0163436–e0163436. 19 indexed citations
5.
Hossain, M. A. Motalib, Md. Eaqub Ali, Sharifah Bee Abd Hamid, et al.. (2016). Tetraplex PCR assay involving double gene-sites discriminates beef and buffalo in Malaysian meat curry and burger products. Food Chemistry. 224. 97–104. 15 indexed citations
6.
Hossain, M. A. Motalib, Md. Eaqub Ali, Sharifah Bee Abd Hamid, et al.. (2016). Targeting double genes in multiplex PCR for discriminating bovine, buffalo and porcine materials in food chain. Food Control. 73. 175–184. 49 indexed citations
7.
Asing, Md. Eaqub Ali, Sharifah Bee Abd Hamid, et al.. (2016). Duplex real-time PCR assay using SYBR Green to detect and quantify Malayan box turtle (Cuora amboinensis) materials in meatballs, burgers, frankfurters and traditional Chinese herbal jelly powder. Food Additives & Contaminants Part A. 33(11). 1643–1659. 14 indexed citations
8.
Hossain, M. A. Motalib, Md. Eaqub Ali, Sharifah Bee Abd Hamid, et al.. (2016). Double Gene Targeting Multiplex Polymerase Chain Reaction–Restriction Fragment Length Polymorphism Assay Discriminates Beef, Buffalo, and Pork Substitution in Frankfurter Products. Journal of Agricultural and Food Chemistry. 64(32). 6343–6354. 53 indexed citations
9.
Ali, Md. Eaqub, Sharifah Bee Abd Hamid, Md Mahfujur Rahman, et al.. (2015). A suitable method for the detection of a potential fraud of bringing macaque monkey meat into the food chain. Food Additives & Contaminants Part A. 32(7). 1013–1022. 35 indexed citations
10.
Ali, Md. Eaqub, Asing, Sharifah Bee Abd Hamid, et al.. (2015). A suitable method to detect potential fraud of bringing Malayan box turtle (Cuora amboinensis) meat into the food chain. Food Additives & Contaminants Part A. 32(8). 1223–1233. 18 indexed citations
11.
Ali, Md. Eaqub, Md. Abdur Razzak, Sharifah Bee Abd Hamid, et al.. (2015). Multiplex PCR assay for the detection of five meat species forbidden in Islamic foods. Food Chemistry. 177. 214–224. 173 indexed citations
12.
Ali, Md. Eaqub, Md Al Amin, Md. Abdur Razzak, et al.. (2015). Short Amplicon-Length PCR Assay Targeting Mitochondrial Cytochrome b Gene for the Detection of Feline Meats in Burger Formulation. Food Analytical Methods. 9(3). 571–581. 19 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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