M. Aiman Mohtar

1.6k total citations · 1 hit paper
26 papers, 1.0k citations indexed

About

M. Aiman Mohtar is a scholar working on Molecular Biology, Cell Biology and Genetics. According to data from OpenAlex, M. Aiman Mohtar has authored 26 papers receiving a total of 1.0k indexed citations (citations by other indexed papers that have themselves been cited), including 19 papers in Molecular Biology, 14 papers in Cell Biology and 4 papers in Genetics. Recurrent topics in M. Aiman Mohtar's work include Endoplasmic Reticulum Stress and Disease (10 papers), CRISPR and Genetic Engineering (4 papers) and Advanced Proteomics Techniques and Applications (3 papers). M. Aiman Mohtar is often cited by papers focused on Endoplasmic Reticulum Stress and Disease (10 papers), CRISPR and Genetic Engineering (4 papers) and Advanced Proteomics Techniques and Applications (3 papers). M. Aiman Mohtar collaborates with scholars based in Malaysia, United Kingdom and Czechia. M. Aiman Mohtar's co-authors include Saiful Effendi Syafruddin, Teck Yew Low, Amir Syahir, Ted R. Hupp, Pey Yee Lee, Yuh Fen Pung, Bořivoj Vojtěšek, Houjiang Zhou, Mingliang Ye and Nadiah Abu and has published in prestigious journals such as Journal of Biological Chemistry, PLoS ONE and International Journal of Molecular Sciences.

In The Last Decade

M. Aiman Mohtar

25 papers receiving 1000 citations

Hit Papers

CD44: A Multifunctional Mediator of Cancer Progression 2021 2026 2022 2024 2021 50 100 150 200 250

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
M. Aiman Mohtar Malaysia 16 618 230 187 164 145 26 1.0k
Noor A. Lokman Australia 20 869 1.4× 219 1.0× 342 1.8× 357 2.2× 176 1.2× 42 1.4k
Saiful Effendi Syafruddin Malaysia 16 593 1.0× 126 0.5× 199 1.1× 253 1.5× 146 1.0× 40 992
Anna Radzikowska Poland 11 593 1.0× 111 0.5× 162 0.9× 64 0.4× 225 1.6× 24 1.1k
Andreia Peixoto Portugal 20 788 1.3× 97 0.4× 230 1.2× 173 1.1× 334 2.3× 32 1.1k
Marco Ponassi Italy 24 765 1.2× 259 1.1× 167 0.9× 167 1.0× 211 1.5× 60 1.5k
Masanori Fujimoto Japan 15 575 0.9× 131 0.6× 195 1.0× 201 1.2× 107 0.7× 43 867
Anita Hryniewicz‐Jankowska Poland 17 627 1.0× 186 0.8× 184 1.0× 276 1.7× 97 0.7× 31 1.1k
Vitaly Kochin Japan 21 688 1.1× 240 1.0× 366 2.0× 115 0.7× 294 2.0× 31 1.1k
Jintang He United States 22 800 1.3× 86 0.4× 355 1.9× 131 0.8× 178 1.2× 40 1.3k
Qian Guo China 14 710 1.1× 100 0.4× 122 0.7× 140 0.9× 65 0.4× 43 994

Countries citing papers authored by M. Aiman Mohtar

Since Specialization
Citations

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

Fields of papers citing papers by M. Aiman Mohtar

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of M. Aiman Mohtar

This figure shows the co-authorship network connecting the top 25 collaborators of M. Aiman Mohtar. A scholar is included among the top collaborators of M. Aiman Mohtar 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. Aiman Mohtar. M. Aiman Mohtar 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.
2.
Low, Teck Yew, et al.. (2024). dCas9 Tells Tales: Probing Gene Function and Transcription Regulation in Cancer. The CRISPR Journal. 7(2). 73–87. 4 indexed citations
3.
Vanharanta, Sakari, et al.. (2023). Cancer Cell-Derived PDGFB Stimulates mTORC1 Activation in Renal Carcinoma. International Journal of Molecular Sciences. 24(7). 6447–6447. 4 indexed citations
4.
Syafruddin, Saiful Effendi, et al.. (2023). Impact of the Cancer Cell Secretome in Driving Breast Cancer Progression. Cancers. 15(9). 2653–2653. 15 indexed citations
5.
Tajudin, Asilah Ahmad, et al.. (2022). Reverting TP53 Mutation in Breast Cancer Cells: Prime Editing Workflow and Technical Considerations. Cells. 11(10). 1612–1612. 13 indexed citations
6.
Syafruddin, Saiful Effendi, et al.. (2022). Functions and mechanisms of protein disulfide isomerase family in cancer emergence. Cell & Bioscience. 12(1). 129–129. 31 indexed citations
7.
Lee, Pey Yee, et al.. (2022). Short open reading frames (sORFs) and microproteins: an update on their identification and validation measures. Journal of Biomedical Science. 29(1). 19–19. 50 indexed citations
8.
Syafruddin, Saiful Effendi, et al.. (2021). Integration of RNA-Seq and proteomics data identifies glioblastoma multiforme surfaceome signature. BMC Cancer. 21(1). 850–850. 21 indexed citations
9.
Cheah, Fook‐Choe, Saiful Effendi Syafruddin, M. Aiman Mohtar, et al.. (2021). CRISPR Gene-Editing Models Geared Toward Therapy for Hereditary and Developmental Neurological Disorders. Frontiers in Pediatrics. 9. 592571–592571. 9 indexed citations
10.
Białobrzeska, Wioleta, M. Aiman Mohtar, Petr Müller, et al.. (2021). An Ultrasensitive Biosensor for Detection of Femtogram Levels of the Cancer Antigen AGR2 Using Monoclonal Antibody Modified Screen-Printed Gold Electrodes. Biosensors. 11(6). 184–184. 12 indexed citations
11.
Sicari, Daria, Raphaël Pineau, Pierre‐Jean Le Reste, et al.. (2021). Reflux of Endoplasmic Reticulum proteins to the cytosol inactivates tumor suppressors. EMBO Reports. 22(5). e51412–e51412. 26 indexed citations
12.
Low, Teck Yew, Saiful Effendi Syafruddin, M. Aiman Mohtar, et al.. (2021). Recent progress in mass spectrometry-based strategies for elucidating protein–protein interactions. Cellular and Molecular Life Sciences. 78(13). 5325–5339. 67 indexed citations
13.
Low, Teck Yew, et al.. (2020). WIDENING THE BOTTLENECK OF PHOSPHOPROTEOMICS: EVOLVING STRATEGIES FOR PHOSPHOPEPTIDE ENRICHMENT. Mass Spectrometry Reviews. 40(4). 309–333. 77 indexed citations
14.
Delom, Frédéric, M. Aiman Mohtar, Ted R. Hupp, & Delphine Fessart. (2019). The anterior gradient-2 interactome. American Journal of Physiology-Cell Physiology. 318(1). C40–C47. 32 indexed citations
15.
Mutalib, Nurul‐Syakima Ab, et al.. (2019). Impact of Chemotherapy on Extracellular Vesicles: Understanding the Chemo-EVs. Frontiers in Oncology. 9. 1113–1113. 46 indexed citations
16.
Mohtar, M. Aiman, Lenka Hernychová, J. Robert O’Neill, et al.. (2018). The Sequence-specific Peptide-binding Activity of the Protein Sulfide Isomerase AGR2 Directs Its Stable Binding to the Oncogenic Receptor EpCAM. Molecular & Cellular Proteomics. 17(4). 737–763. 17 indexed citations
17.
Mohtar, M. Aiman, Teck Yew Low, Bořivoj Vojtěšek, Rahman Jamal, & Ted R. Hupp. (2018). The development of a synthetic scFv monoclonal antibody targeting pro-oncogenic AGR2. Frontiers in Pharmacology. 9. 1 indexed citations
18.
Clarke, David J., Euan Murray, Jakub Faktor, et al.. (2016). Mass spectrometry analysis of the oxidation states of the pro-oncogenic protein anterior gradient-2 reveals covalent dimerization via an intermolecular disulphide bond. Biochimica et Biophysica Acta (BBA) - Proteins and Proteomics. 1864(5). 551–561. 15 indexed citations
19.
Brychtová, Veronika, M. Aiman Mohtar, Bořivoj Vojtěšek, & Ted R. Hupp. (2015). Mechanisms of anterior gradient-2 regulation and function in cancer. Seminars in Cancer Biology. 33. 16–24. 45 indexed citations
20.
Veríssimo, Andreia F., M. Aiman Mohtar, & Fevzi Daldal. (2013). The Heme Chaperone ApoCcmE Forms a Ternary Complex with CcmI and Apocytochrome c. Journal of Biological Chemistry. 288(9). 6272–6283. 12 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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