M. N. A. Uda

445 total citations
29 papers, 277 citations indexed

About

M. N. A. Uda is a scholar working on Molecular Biology, Biomedical Engineering and Plant Science. According to data from OpenAlex, M. N. A. Uda has authored 29 papers receiving a total of 277 indexed citations (citations by other indexed papers that have themselves been cited), including 14 papers in Molecular Biology, 13 papers in Biomedical Engineering and 6 papers in Plant Science. Recurrent topics in M. N. A. Uda's work include Advanced biosensing and bioanalysis techniques (13 papers), Biosensors and Analytical Detection (7 papers) and Plant Virus Research Studies (5 papers). M. N. A. Uda is often cited by papers focused on Advanced biosensing and bioanalysis techniques (13 papers), Biosensors and Analytical Detection (7 papers) and Plant Virus Research Studies (5 papers). M. N. A. Uda collaborates with scholars based in Malaysia, Iraq and South Korea. M. N. A. Uda's co-authors include U. Hashim, M. N. Afnan Uda, N. A. Parmin, Periasamy Anbu, Tijjani Adam, Zamri Ishak, Hasfalina Che Man, Mohd Nor Faiz Norrrahim, Hairul Abral and Mohd Saiful Asmal Rani and has published in prestigious journals such as Scientific Reports, International Journal of Environmental Research and Public Health and Sustainability.

In The Last Decade

M. N. A. Uda

24 papers receiving 270 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
M. N. A. Uda Malaysia	8	101	88	57	39	39	29	277
Myleidi Vera Chile	13	122 1.2×	51 0.6×	52 0.9×	74 1.9×	68 1.7×	27	376
Otávio Augusto L. dos Santos Brazil	9	142 1.4×	202 2.3×	39 0.7×	21 0.5×	29 0.7×	15	357
Nelson M. Anaya United States	7	89 0.9×	116 1.3×	50 0.9×	43 1.1×	23 0.6×	9	303
Aixing Tang China	12	72 0.7×	64 0.7×	65 1.1×	44 1.1×	68 1.7×	26	378
Bianca Pizzorno Backx Brazil	9	148 1.5×	225 2.6×	32 0.6×	21 0.5×	36 0.9×	22	387
Kishore Kumar Nair India	10	76 0.8×	129 1.5×	39 0.7×	29 0.7×	40 1.0×	18	307
Annamalai Rajendran India	11	69 0.7×	167 1.9×	37 0.6×	23 0.6×	18 0.5×	16	377
Nilesh L. Jadhav India	12	99 1.0×	113 1.3×	37 0.6×	38 1.0×	27 0.7×	16	333
Siddhartha Sankar Boxi India	7	125 1.2×	211 2.4×	40 0.7×	23 0.6×	20 0.5×	10	386
Anina James India	10	51 0.5×	35 0.4×	48 0.8×	47 1.2×	38 1.0×	25	290

Countries citing papers authored by M. N. A. Uda

Since Specialization

Citations

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

Fields of papers citing papers by M. N. A. Uda

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by M. N. A. Uda. 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 M. N. A. Uda. The network helps show where M. N. A. Uda may publish in the future.

Co-authorship network of co-authors of M. N. A. Uda

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

All Works

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20 of 20 papers shown

Uda, M. N. A., et al.. (2025). A Global Index to Quantify Discrimination Resulting from COVID-19 Pandemic Response Policies. International Journal of Environmental Research and Public Health. 22(4). 467–467.

Kumarevel, Thirumananseri, Tijjani Adam, M. K. Md Arshad, et al.. (2025). Electro‐Sensing Analysis for Parkinson's Disease Biomarker on Dual‐Electrode Surface: Complemented by Molecular Docking. Biotechnology and Applied Biochemistry. 72(6). 1694–1707.

Uda, M. N. Afnan, Tijjani Adam, M. N. A. Uda, et al.. (2024). Conductometric immunosensor for specific Escherichia coli O157:H7 detection on chemically funcationalizaed interdigitated aptasensor. Heliyon. 10(5). e26988–e26988. 6 indexed citations

Shukor, Hafiza, et al.. (2024). Polysulfone (Psf) Mixed Matrix Membrane incorporating Titanium Dioxide (TiO2)/Polyethylene Glycol (PEG) for the removal of copper. 17(4). 598–608.

Hashim, U., et al.. (2024). Advancing COVID-19 Detection: High-Performance RNA Biosensing via Electrical Interactions. 17(June). 229–235.

Adam, Tijjani, et al.. (2024). Revisiting the Optoelectronic Properties of Graphene: A DFT Approach. 17(1). 76–85.

Uda, M. N. A., U. Hashim, M. N. Afnan Uda, et al.. (2023). Controlling Arsenic Accumulation in Rice Grain under Nanomaterials-Assisted Optimal Greenhouse Set-Up. Sustainability. 15(3). 2633–2633. 4 indexed citations

Khoo, Pui San, R.A. Ilyas, M. N. A. Uda, et al.. (2023). Starch-Based Polymer Materials as Advanced Adsorbents for Sustainable Water Treatment: Current Status, Challenges, and Future Perspectives. Polymers. 15(14). 3114–3114. 54 indexed citations

Parmin, N. A., U. Hashim, A. Rahim Ruslinda, et al.. (2021). Designing DNA probe from HPV 18 and 58 in the E6 region for sensing element in the development of genosensor‐based gold nanoparticles. Biotechnology and Applied Biochemistry. 69(5). 1966–1983. 3 indexed citations

10.

Uda, M. N. A., et al.. (2021). Production and characterization of graphene from carbonaceous rice straw by cost-effect extraction. 3 Biotech. 11(5). 205–205. 24 indexed citations

11.

Adam, Tijjani, et al.. (2021). Recent advances in techniques for fabrication and characterization of nanogap biosensors: A review. Biotechnology and Applied Biochemistry. 69(4). 1395–1417. 6 indexed citations

12.

Uda, M. N. A., U. Hashim, N. A. Parmin, et al.. (2021). Silica and graphene mediate arsenic detection in mature rice grain by a newly patterned current–volt aptasensor. Scientific Reports. 11(1). 14688–14688. 20 indexed citations

13.

Uda, M. N. A., et al.. (2020). Production and characterization of silica nanoparticles from fly ash: conversion of agro-waste into resource. Preparative Biochemistry & Biotechnology. 51(1). 86–95. 51 indexed citations

14.

Uda, M. N. A., et al.. (2020). Simple and Green Approach Strategy to Synthesis Graphene Using Rice Straw Ash. IOP Conference Series Materials Science and Engineering. 864(1). 12181–12181. 11 indexed citations

15.

Uda, M. N. A., et al.. (2017). Immunosensor development formatting for tungro disease detection using nano-gold antibody particles application. AIP conference proceedings. 1808. 20057–20057. 12 indexed citations

16.

Uda, M. N. A., et al.. (2016). Set Potential Determination for Rice Tungro Spherical Virus (RTSV) Detection Using Chronoamperometry Measurement. Procedia Chemistry. 20. 121–123. 5 indexed citations

17.

Uda, M. N. A., et al.. (2013). Comparative study between ELISA and surface plasmon resonance (SPR) for rice tungro disease detection. Universiti Putra Malaysia Institutional Repository (Universiti Putra Malaysia). 9(11). 5568–5571. 4 indexed citations

18.

Adam, Tijjani, et al.. (2013). Fabrication of Nanostructure Based Biosensor for Biomolecules Detection. Advanced materials research. 832. 9–14. 1 indexed citations

19.

Uda, M. N. A., et al.. (2013). Reviewed Immunosensor Format Using Nanomaterial for Tungro Virus Detection. Advanced materials research. 832. 410–414. 24 indexed citations

20.

Adam, Tijjani, et al.. (2013). Plant Diseases Detection Using Nanowire as Biosensor Transducer. Advanced materials research. 832. 113–117. 25 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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