Muhajir Hamid

3.3k total citations · 1 hit paper
97 papers, 2.6k citations indexed

About

Muhajir Hamid is a scholar working on Endocrinology, Diabetes and Metabolism, Molecular Biology and Biochemistry. According to data from OpenAlex, Muhajir Hamid has authored 97 papers receiving a total of 2.6k indexed citations (citations by other indexed papers that have themselves been cited), including 41 papers in Endocrinology, Diabetes and Metabolism, 33 papers in Molecular Biology and 21 papers in Biochemistry. Recurrent topics in Muhajir Hamid's work include Natural Antidiabetic Agents Studies (34 papers), Phytochemicals and Antioxidant Activities (20 papers) and Phytochemistry and biological activities of Ficus species (9 papers). Muhajir Hamid is often cited by papers focused on Natural Antidiabetic Agents Studies (34 papers), Phytochemicals and Antioxidant Activities (20 papers) and Phytochemistry and biological activities of Ficus species (9 papers). Muhajir Hamid collaborates with scholars based in Malaysia, United Kingdom and China. Muhajir Hamid's co-authors include Amin Ismail, Noorjahan Banu Alitheen, Abdul Manaf Ali, Swee Keong Yeap, Wan Yong Ho, Arbakariya B. Ariff, Peter R. Flatt, Ahmad Firdaus B. Lajis, Jane T. McCluskey and Neville H. McClenaghan and has published in prestigious journals such as Journal of Biological Chemistry, SHILAP Revista de lepidopterología and PLoS ONE.

In The Last Decade

Muhajir Hamid

92 papers receiving 2.5k citations

Hit Papers

scFv Antibody: Principles and Clinical Application 2012 2026 2016 2021 2012 100 200 300 400 500

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Muhajir Hamid Malaysia 27 1.1k 489 417 362 353 97 2.6k
Wan Yong Ho Malaysia 31 1.4k 1.3× 246 0.5× 731 1.8× 293 0.8× 361 1.0× 107 3.6k
Kuniyo Inouye Japan 38 2.2k 2.1× 549 1.1× 446 1.1× 187 0.5× 179 0.5× 226 4.7k
Yoshinori Tsukamoto Japan 28 1.1k 1.0× 218 0.4× 327 0.8× 229 0.6× 169 0.5× 67 2.5k
Yajun Guo China 25 807 0.8× 128 0.3× 422 1.0× 696 1.9× 101 0.3× 71 2.7k
Wen‐Chin Yang Taiwan 32 1.1k 1.0× 439 0.9× 676 1.6× 157 0.4× 58 0.2× 101 3.2k
Maria Koziołkiewicz Poland 31 1.5k 1.4× 333 0.7× 303 0.7× 494 1.4× 55 0.2× 86 2.8k
Hamideh Parhiz United States 20 1.4k 1.4× 126 0.3× 259 0.6× 320 0.9× 73 0.2× 37 2.7k
Francesca Aiello Italy 29 888 0.8× 176 0.4× 325 0.8× 419 1.2× 58 0.2× 129 3.1k
Jaya P. Gaddipati United States 19 1.1k 1.0× 264 0.5× 247 0.6× 183 0.5× 52 0.1× 34 3.1k
Young‐Choon Lee South Korea 39 2.9k 2.7× 85 0.2× 627 1.5× 159 0.4× 175 0.5× 196 4.8k

Countries citing papers authored by Muhajir Hamid

Since Specialization
Citations

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

Fields of papers citing papers by Muhajir Hamid

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Muhajir Hamid

This figure shows the co-authorship network connecting the top 25 collaborators of Muhajir Hamid. A scholar is included among the top collaborators of Muhajir Hamid 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 Muhajir Hamid. Muhajir Hamid 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.
Muthusamy, Khairunisa, et al.. (2024). Properties of mortar using oyster shell as partial fine aggregate replacement. AIP conference proceedings. 3114. 30012–30012.
2.
Ho, Kok Lian, Chean Yeah Yong, Hui‐Yee Chee, et al.. (2021). Chimeric Virus-Like Particles of Prawn Nodavirus Displaying Hepatitis B Virus Immunodominant Region: Biophysical Properties and Cytokine Response. International Journal of Molecular Sciences. 22(4). 1922–1922. 4 indexed citations
4.
Rahman, Nik Mohd Afizan Nik Abd, et al.. (2020). Antiglycation and Antioxidant Properties of Ficus deltoidea Varieties. Evidence-based Complementary and Alternative Medicine. 2020(1). 6374632–6374632. 15 indexed citations
6.
Tan, Seok Tyug, Amin Ismail, Muhajir Hamid, Pei Pei Chong, & Jian Sun. (2019). Soy husk extract improves physical and biochemical parameters of obese–diabetic rats through the regulation of PPARγ expression. Journal of Food Biochemistry. 43(5). e12843–e12843. 3 indexed citations
7.
Hamid, Muhajir, et al.. (2018). Insulinotropic Activity of Standardized Methanolic Extracts of Ficus deltoidea from Seven Varieties. Evidence-based Complementary and Alternative Medicine. 2018(1). 3769874–3769874. 9 indexed citations
8.
Lajis, Ahmad Firdaus B., Muhajir Hamid, Syahida Ahmad, & Arbakariya B. Ariff. (2017). Comparative study of stirred and fluidized tank reactor for hydroxyl-kojic acid derivatives synthesis and their biological activities. Turkish Journal of Biochemistry. 43(3). 205–219. 10 indexed citations
9.
Perimal, Enoch Kumar, et al.. (2014). Mineral and physiochemical evaluation of Cockle shell (Anadara granosa) and other selected Molluscan shell as potential biomaterials. Sains Malaysiana. 43(7). 1023–1029. 25 indexed citations
10.
Ismail, Maznah, et al.. (2013). Antidiabetic and Hypolipidemic Activities ofCurculigo latifoliaFruit:Root Extract in High Fat Fed Diet and Low Dose STZ Induced Diabetic Rats. Evidence-based Complementary and Alternative Medicine. 2013. 1–12. 33 indexed citations
11.
Sarmadi, Bahareh, et al.. (2012). Hypoglycemic effects of cocoa (Theobroma cacao L.) autolysates. Food Chemistry. 134(2). 905–911. 39 indexed citations
12.
Ariff, Arbakariya, et al.. (2012). EFEKTIVITAS KURKUMIN SEBAGAI ANTIOKSIDAN DAN INHIBITOR MELANIN PADA KULTUR SEL B16-F1. Berkala Penelitian Hayati. 17(2). 173–176. 1 indexed citations
13.
Hamid, Muhajir, et al.. (2012). The potential of cocoa extract as a hypoglycemic agent.. 13(2). 193–197. 1 indexed citations
14.
Abdollahı, Mohammad, et al.. (2011). Determination of antioxidant activity in methanolic and chloroformic extracts of Momordica charantia. AFRICAN JOURNAL OF BIOTECHNOLOGY. 10(24). 4932–4940. 43 indexed citations
15.
Hamid, Muhajir, et al.. (2010). Antihyperglycemic and Glucose Tolerance Activity of Ficus deltoidea Ethanolic Extract in Diabetic Rats. 8(1). 6 indexed citations
16.
Manicam, Caroline, et al.. (2010). In vitro anticoagulant activities of Melastoma malabathricum Linn. aqueous leaf extract: A preliminary novel finding. Journal of Medicinal Plants Research. 4(14). 1464–1472. 27 indexed citations
17.
Alitheen, Noorjahan Banu, et al.. (2009). A Mouse IgM Monoclonal Antibody Recognizes Breast and Colon Cancer. Hybridoma. 28(3). 199–203. 2 indexed citations
18.
Hamid, Muhajir, et al.. (2009). The effects of leaf extracts of Myristica, Piper, Tabebuia species and the gall extract of Quercus infectoria on insulin secreting cells.. 10(2). 145–149. 1 indexed citations
19.
Mokhtar, Ruzaidi Azli Mohd, et al.. (2008). Hypoglycaemic properties of Malaysian cocoa (Theobroma cacao) polyphenols-rich extract. International Food Research Journal. 15(3). 305–312. 16 indexed citations
20.
Hamid, Muhajir, et al.. (2007). Effect of Ficus deltoidea Aqueous Extract on Blood Glucose Level in Normal and Mild Diabetic Rats. Jurnal Sains Kesihatan Malaysia. 5(2). 20 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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