Lay‐Harn Gam

757 total citations
43 papers, 583 citations indexed

About

Lay‐Harn Gam is a scholar working on Molecular Biology, Pharmacology and Spectroscopy. According to data from OpenAlex, Lay‐Harn Gam has authored 43 papers receiving a total of 583 indexed citations (citations by other indexed papers that have themselves been cited), including 27 papers in Molecular Biology, 7 papers in Pharmacology and 7 papers in Spectroscopy. Recurrent topics in Lay‐Harn Gam's work include Advanced Proteomics Techniques and Applications (7 papers), Glycosylation and Glycoproteins Research (6 papers) and 14-3-3 protein interactions (5 papers). Lay‐Harn Gam is often cited by papers focused on Advanced Proteomics Techniques and Applications (7 papers), Glycosylation and Glycoproteins Research (6 papers) and 14-3-3 protein interactions (5 papers). Lay‐Harn Gam collaborates with scholars based in Malaysia, Singapore and Mexico. Lay‐Harn Gam's co-authors include Zhari Ismail, Manjit Singh, Aishah A. Latiff, Che Nin Man, Boon Yin Khoo, Rahmat Awang, Hui‐Hua Lee, Phelim Voon Chen Yong, Rozita Rosli and Pei Pei Chong and has published in prestigious journals such as SHILAP Revista de lepidopterología, PLoS ONE and Food Chemistry.

In The Last Decade

Lay‐Harn Gam

43 papers receiving 562 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Lay‐Harn Gam Malaysia 13 298 87 62 58 53 43 583
Fatema Bhinderwala United States 14 382 1.3× 66 0.8× 30 0.5× 36 0.6× 49 0.9× 23 596
Eponine Oler Canada 10 554 1.9× 79 0.9× 26 0.4× 47 0.8× 53 1.0× 16 937
Saravanan Dayalan Australia 15 613 2.1× 145 1.7× 61 1.0× 77 1.3× 33 0.6× 26 1.1k
Dhananjay Shinde India 16 273 0.9× 126 1.4× 21 0.3× 22 0.4× 52 1.0× 46 613
Guadalupe Ayala Mexico 15 308 1.0× 25 0.3× 34 0.5× 32 0.6× 30 0.6× 27 695
Der‐Yuan Wang Taiwan 17 168 0.6× 58 0.7× 22 0.4× 26 0.4× 52 1.0× 53 673
Darryl Johnson United States 13 284 1.0× 44 0.5× 41 0.7× 82 1.4× 12 0.2× 17 525
Chunyan Lu China 10 168 0.6× 125 1.4× 20 0.3× 77 1.3× 146 2.8× 31 546
Fija M. Lagerwerf Netherlands 14 429 1.4× 187 2.1× 40 0.6× 29 0.5× 40 0.8× 17 881

Countries citing papers authored by Lay‐Harn Gam

Since Specialization
Citations

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

Fields of papers citing papers by Lay‐Harn Gam

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Lay‐Harn Gam. 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 Lay‐Harn Gam. The network helps show where Lay‐Harn Gam may publish in the future.

Co-authorship network of co-authors of Lay‐Harn Gam

This figure shows the co-authorship network connecting the top 25 collaborators of Lay‐Harn Gam. A scholar is included among the top collaborators of Lay‐Harn Gam 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 Lay‐Harn Gam. Lay‐Harn Gam 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.
Hassan, Zurina, et al.. (2022). Upregulation of Brain's Calcium Binding Proteins in Mitragynine Dependence: A Potential Cellular Mechanism to Addiction. International Journal of Medical Sciences. 20(1). 102–113. 5 indexed citations
2.
Ibrahim, Baharudin, et al.. (2021). Urinary metabolites of type 2 diabetes rats fed with palm oil-enriched high fat diet. Heliyon. 7(9). e08075–e08075. 5 indexed citations
3.
Dahham, Saad Sabbar, et al.. (2016). THE PROTEIN PROFILING OF ASIAN GIANT TOAD SKIN SECRETIONS AND THEIR ANTIMICROBIAL ACTIVITY. International Journal of Pharmacy and Pharmaceutical Sciences. 8(6). 88–95. 8 indexed citations
4.
Khoo, Boon Yin, et al.. (2013). The Anti-Cancer Property of Proteins Extracted from Gynura procumbens (Lour.) Merr. PLoS ONE. 8(7). e68524–e68524. 44 indexed citations
5.
Gam, Lay‐Harn, et al.. (2013). Identification of immunogenic proteins of Candida parapsilosis by serological proteome analysis. Journal of Applied Microbiology. 116(4). 999–1009. 17 indexed citations
6.
Gam, Lay‐Harn. (2012). Breast cancer and protein biomarkers. PubMed. 2(5). 0–0. 35 indexed citations
7.
Basir, Rusliza, Kartini Hasballah, Lay‐Harn Gam, et al.. (2012). Modulation of interleukin-18 release produced positive outcomes on parasitaemia development and cytokines production during malaria in mice.. PubMed. 29(3). 405–21. 3 indexed citations
8.
Gam, Lay‐Harn, et al.. (2011). Method development for analysis of proteins extracted from the leaves of Orthosiphon aristatus. Journal of Chromatography B. 879(22). 2179–2183. 5 indexed citations
9.
Singh, Manjit, et al.. (2011). Analysis of Differentially Expressed Proteins in Colorectal Cancer Using Hydroxyapatite Column and SDS-PAGE. Applied Biochemistry and Biotechnology. 165(5-6). 1211–1224. 8 indexed citations
10.
Gam, Lay‐Harn, et al.. (2011). Proteome Analysis of Abundant Proteins Extracted from the Leaf of Gynura procumbens (Lour.) Merr. Applied Biochemistry and Biotechnology. 165(7-8). 1577–1586. 20 indexed citations
11.
Singh, Manjit, et al.. (2010). The PCA and LDA analysis on the differential expression of proteins in breast cancer.. SHILAP Revista de lepidopterología. 29(5). 231–42. 7 indexed citations
12.
Gam, Lay‐Harn, et al.. (2010). The Identification of High Abundant Proteins in the Leaves of <i>Gynura Procumbens</i>. Biotechnology & Biotechnological Equipment. 24(4). 2132–2136. 2 indexed citations
13.
Ismail, Zhari, et al.. (2009). Proteomics and Detection of Uromodulin in First-time Renal Calculi Patients and Recurrent Renal Calculi Patients. Applied Biochemistry and Biotechnology. 159(1). 221–232. 22 indexed citations
14.
Ismail, Zhari, et al.. (2009). SDS-PAGE-Based Quantitative Assay for Screening of Kidney Stone Disease. Biological Procedures Online. 11(1). 145–60. 30 indexed citations
15.
Ismail, Zhari, et al.. (2008). Qualification and application of an ELISA for the determination of Tamm Horsfall Protein (THP) in human urine and its use for screening of Kidney Stone Disease. International Journal of Biological Sciences. 4(4). 215–222. 43 indexed citations
16.
Gam, Lay‐Harn. (2006). Analysis of differentially expressed proteins in cancerous and normal colonic tissues. World Journal of Gastroenterology. 12(31). 4973–4973. 6 indexed citations
17.
Man, Che Nin, et al.. (2006). Simple, rapid and sensitive assay method for simultaneous quantification of urinary nicotine and cotinine using gas chromatography–mass spectrometry. Journal of Chromatography B. 844(2). 322–327. 69 indexed citations
18.
Gam, Lay‐Harn, et al.. (2005). AMINO ACID COMPOSITION OF SNAKEHEAD FISH (CHANNA STRIATUS) OF VARIOUS SIZES OBTAINED AT DIFFERENT TIMES OF THE YEAR. SHILAP Revista de lepidopterología. 12 indexed citations
19.
Gam, Lay‐Harn & Aishah A. Latiff. (2005). SDS-PAGE Electrophoretic Property of Human Chorionic Gonadotropin (hCG) and its β-subunit. International Journal of Biological Sciences. 1(3). 103–109. 8 indexed citations
20.
Gam, Lay‐Harn, et al.. (2003). Immunoaffinity extraction and tandem mass spectrometric analysis of human chorionic gonadotropin in doping analysis. Journal of Chromatography B. 792(2). 187–196. 41 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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