A. Alia

2.7k total citations
97 papers, 2.0k citations indexed

About

A. Alia is a scholar working on Molecular Biology, Spectroscopy and Atomic and Molecular Physics, and Optics. According to data from OpenAlex, A. Alia has authored 97 papers receiving a total of 2.0k indexed citations (citations by other indexed papers that have themselves been cited), including 47 papers in Molecular Biology, 35 papers in Spectroscopy and 22 papers in Atomic and Molecular Physics, and Optics. Recurrent topics in A. Alia's work include Advanced NMR Techniques and Applications (35 papers), Photosynthetic Processes and Mechanisms (33 papers) and Spectroscopy and Quantum Chemical Studies (16 papers). A. Alia is often cited by papers focused on Advanced NMR Techniques and Applications (35 papers), Photosynthetic Processes and Mechanisms (33 papers) and Spectroscopy and Quantum Chemical Studies (16 papers). A. Alia collaborates with scholars based in Netherlands, Germany and United States. A. Alia's co-authors include Jörg Matysik, Huub J. M. de Groot, Gunnar Jeschke, Peter Gast, Eugenio Daviso, Herman P. Spaink, Upasana Roy, John P. Berry, Shipra Prakash and Claude Backendorf and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Journal of the American Chemical Society and The Journal of Chemical Physics.

In The Last Decade

A. Alia

95 papers receiving 2.0k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
A. Alia Netherlands 27 901 561 379 285 220 97 2.0k
Christine Ziegler Germany 29 1.8k 2.0× 229 0.4× 273 0.7× 269 0.9× 90 0.4× 79 2.7k
Mikael Esmann Denmark 27 2.3k 2.6× 261 0.5× 322 0.8× 267 0.9× 190 0.9× 97 3.0k
Yuri P. Tsentalovich Russia 29 1.1k 1.2× 245 0.4× 175 0.5× 146 0.5× 221 1.0× 109 2.2k
Jeff Abramson United States 32 4.0k 4.5× 412 0.7× 210 0.6× 950 3.3× 185 0.8× 65 5.1k
Yifat Miller Israel 34 1.4k 1.6× 433 0.8× 412 1.1× 160 0.6× 1.3k 6.1× 95 3.2k
Esther Breslow United States 31 1.6k 1.8× 431 0.8× 196 0.5× 534 1.9× 372 1.7× 93 2.9k
Ulrich Pilatus Germany 33 813 0.9× 262 0.5× 93 0.2× 288 1.0× 347 1.6× 113 3.5k
Bogdan E. Chapman Australia 29 981 1.1× 763 1.4× 98 0.3× 80 0.3× 441 2.0× 108 2.6k
Hiroshi Watari Japan 24 907 1.0× 352 0.6× 98 0.3× 237 0.8× 352 1.6× 128 2.3k
Corey W. Liu United States 33 2.6k 2.9× 250 0.4× 66 0.2× 780 2.7× 79 0.4× 50 3.9k

Countries citing papers authored by A. Alia

Since Specialization
Citations

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

Fields of papers citing papers by A. Alia

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of A. Alia

This figure shows the co-authorship network connecting the top 25 collaborators of A. Alia. A scholar is included among the top collaborators of A. Alia 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 A. Alia. A. Alia 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.
Scheidt, Holger A., Martin Krueger, Georgeta Salvan, et al.. (2025). The Effect of Polyethylene Terephthalate Nanoplastics on Amyloid-β Peptide Fibrillation. Molecules. 30(7). 1432–1432. 3 indexed citations
2.
Kim, Yunmi, et al.. (2024). Nuclear hyperpolarization in electron-transfer proteins: Revealing unexpected light-induced 15N signals with field-cycling magic-angle spinning NMR. SHILAP Revista de lepidopterología. 21. 100168–100168. 2 indexed citations
3.
Fernández-Lima, Francisco, et al.. (2024). An Integrated Metabolomics-Based Model, and Identification of Potential Biomarkers, of Perfluorooctane Sulfonic Acid Toxicity in Zebrafish Embryos. Environmental Toxicology and Chemistry. 43(4). 896–914. 3 indexed citations
4.
5.
Kim, Yunmi, et al.. (2024). Electronic Structures of Radical-Pair-Forming Cofactors in a Heliobacterial Reaction Center. Molecules. 29(5). 1021–1021. 3 indexed citations
6.
7.
Ding, Yi, Mariëlle C. Haks, Gabriel Forn‐Cuní, et al.. (2021). Metabolomic and transcriptomic profiling of adult mice and larval zebrafish leptin mutants reveal a common pattern of changes in metabolites and signaling pathways. Cell & Bioscience. 11(1). 126–126. 5 indexed citations
8.
Höfling, Corinna, et al.. (2021). Metabolic Profiling of Suprachiasmatic Nucleus Reveals Multifaceted Effects in an Alzheimer’s Disease Mouse Model. Journal of Alzheimer s Disease. 81(2). 797–808. 7 indexed citations
9.
Vergeldt, Frank J., Andrew Webb, Huub J. M. de Groot, et al.. (2020). Assessing spatial resolution, acquisition time and signal-to-noise ratio for commercial microimaging systems at 14.1, 17.6 and 22.3 T. Journal of Magnetic Resonance. 316. 106770–106770. 7 indexed citations
10.
Shen, Defeng, Karthick Babu Sai Sankar Gupta, Frank J. Vergeldt, et al.. (2020). Magnetic Resonance Microscopy at Cellular Resolution and Localised Spectroscopy of Medicago truncatula at 22.3 Tesla. Scientific Reports. 10(1). 971–971. 17 indexed citations
11.
Matysik, Jörg, et al.. (2020). Comparative toxicometabolomics of perfluorooctanoic acid (PFOA) and next-generation perfluoroalkyl substances. Environmental Pollution. 265(Pt A). 114928–114928. 94 indexed citations
12.
Folgueira, Mónica, Xabier Elorza‐Vidal, A. Alia, et al.. (2019). Comparison of zebrafish and mice knockouts for Megalencephalic Leukoencephalopathy proteins indicates that GlialCAM/MLC1 forms a functional unit. Orphanet Journal of Rare Diseases. 14(1). 268–268. 10 indexed citations
13.
Bielytskyi, Pavlo, Denis G. Artiukhin, Johannes Neugebauer, et al.. (2018). Photochemically induced dynamic nuclear polarization NMR on photosystem II: donor cofactor observed in entire plant. Scientific Reports. 8(1). 18 indexed citations
14.
15.
Roy, Upasana, Herman P. Spaink, Huub J. M. de Groot, et al.. (2014). Zebrafish Brain Lipid Characterization and Quantification by 1 H Nuclear Magnetic Resonance Spectroscopy and MALDI-TOF Mass Spectrometry. Zebrafish. 11(3). 240–247. 15 indexed citations
16.
Ferreiro, Susana, et al.. (2013). Health Monitoring for Electro-mechanical Nose Landing Gear Door Actuator of a UAV, Based on Simulation Modelling and Data-driven Techniques. SHILAP Revista de lepidopterología. 3 indexed citations
17.
Kara, Firat, Marco Henneke, Jason R. Willer, et al.. (2011). rnaset2 mutant zebrafish model familial cystic leukoencephalopathy and reveal a role for RNase T2 in degrading ribosomal RNA. Proceedings of the National Academy of Sciences. 108(3). 1099–1103. 81 indexed citations
18.
Vermeij, Wilbert P., A. Alia, & Claude Backendorf. (2011). ROS Quenching Potential of the Epidermal Cornified Cell Envelope. Journal of Investigative Dermatology. 131(7). 1435–1441. 79 indexed citations
19.
Prakash, Shipra, A. Alia, Peter Gast, et al.. (2007). 13 C Chemical Shift Map of the Active Cofactors in Photosynthetic Reaction Centers of Rhodobacter sphaeroides Revealed by Photo-CIDNP MAS NMR. Biochemistry. 46(31). 8953–8960. 26 indexed citations
20.
Alia, A., et al.. (2006). Magnetic Resonance Microscopy of the Adult Zebrafish. Zebrafish. 3(4). 431–439. 47 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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