Ibrahim Kaya

1.2k total citations
28 papers, 861 citations indexed

About

Ibrahim Kaya is a scholar working on Molecular Biology, Spectroscopy and Physiology. According to data from OpenAlex, Ibrahim Kaya has authored 28 papers receiving a total of 861 indexed citations (citations by other indexed papers that have themselves been cited), including 20 papers in Molecular Biology, 13 papers in Spectroscopy and 9 papers in Physiology. Recurrent topics in Ibrahim Kaya's work include Metabolomics and Mass Spectrometry Studies (16 papers), Mass Spectrometry Techniques and Applications (12 papers) and Alzheimer's disease research and treatments (8 papers). Ibrahim Kaya is often cited by papers focused on Metabolomics and Mass Spectrometry Studies (16 papers), Mass Spectrometry Techniques and Applications (12 papers) and Alzheimer's disease research and treatments (8 papers). Ibrahim Kaya collaborates with scholars based in Sweden, United Kingdom and Türkiye. Ibrahim Kaya's co-authors include Jörg Hanrieder, Henrik Zetterberg, Wojciech Michno, Kaj Blennow, Dimitri Brinet, Stefan Lange, Per Malmberg, Eva Jennische, John S. Fletcher and Andrew G. Ewing and has published in prestigious journals such as Journal of Biological Chemistry, Nature Communications and SHILAP Revista de lepidopterología.

In The Last Decade

Ibrahim Kaya

25 papers receiving 858 citations

Peers

Ibrahim Kaya
Renã A. Sowell United States
Frederick J. Troendle United States
Boer Xie United States
Eva Illes‐Toth United Kingdom
Jeremy Post United States
Ibrahim Kaya
Citations per year, relative to Ibrahim Kaya Ibrahim Kaya (= 1×) peers Wojciech Michno

Countries citing papers authored by Ibrahim Kaya

Since Specialization
Citations

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

Fields of papers citing papers by Ibrahim Kaya

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Ibrahim Kaya

This figure shows the co-authorship network connecting the top 25 collaborators of Ibrahim Kaya. A scholar is included among the top collaborators of Ibrahim Kaya 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 Ibrahim Kaya. Ibrahim Kaya 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.
Zhang, Xiaoqun, Mara Mennuni, Dusanka Milenkovic, et al.. (2025). The CHCHD2-CHCHD10 protein complex is modulated by mitochondrial dysfunction and alters lipid homeostasis in the mouse brain. Cell Death and Disease. 16(1). 693–693.
2.
Kaya, Ibrahim, Sooraj Baijnath, Anna Karin Nilsson, et al.. (2025). Comprehensive Approach for Sequential MALDI-MSI Analysis of Lipids, N-Glycans, and Peptides in Fresh-Frozen Rodent Brain Tissues. Analytical Chemistry. 97(2). 1338–1346. 3 indexed citations
3.
Nilsson, Anna Karin, Mohammadreza Shariatgorji, Theodosia Vallianatou, et al.. (2025). Met-ID: An Open-Source Software for Comprehensive Annotation of Multiple On-Tissue Chemical Modifications in MALDI-MSI. Analytical Chemistry. 97(16). 9033–9041.
4.
Kaya, Ibrahim, Theodosia Vallianatou, Anna Nilsson, et al.. (2025). Brain-region-specific lipid dysregulation in L-DOPA-induced dyskinesia in a primate model of Parkinson’s disease. npj Parkinson s Disease. 11(1). 258–258. 1 indexed citations
5.
Kaya, Ibrahim, Per E. Andrén, Vitalii Shtender, et al.. (2024). Hydrogen production by a fully de novo enzyme. Dalton Transactions. 53(31). 12905–12916. 2 indexed citations
6.
Nilsson, Anna, et al.. (2024). Hydrazide-based reactive matrices for the sensitive detection of aldehydes and ketones by MALDI mass spectrometry imaging. Chemical Communications. 60(69). 9238–9241. 1 indexed citations
7.
Vallianatou, Theodosia, Tina B. Angerer, Ibrahim Kaya, et al.. (2024). Applying Spatial Metabolomics To Investigate Age- and Drug-Induced Neurochemical Changes. ACS Chemical Neuroscience. 15(15). 2822–2829. 2 indexed citations
8.
Kaya, Ibrahim, Anna Nilsson, Theodosia Vallianatou, et al.. (2023). Spatial lipidomics reveals brain region-specific changes of sulfatides in an experimental MPTP Parkinson’s disease primate model. npj Parkinson s Disease. 9(1). 118–118. 30 indexed citations
9.
Kaya, Ibrahim, Mohammadreza Shariatgorji, Johan Lundkvist, et al.. (2023). Prosaposin maintains lipid homeostasis in dopamine neurons and counteracts experimental parkinsonism in rodents. Nature Communications. 14(1). 5804–5804. 28 indexed citations
10.
Baijnath, Sooraj, Ibrahim Kaya, Anna Nilsson, Mohammadreza Shariatgorji, & Per E. Andrén. (2022). Advances in spatial mass spectrometry enable in-depth neuropharmacodynamics. Trends in Pharmacological Sciences. 43(9). 740–753. 17 indexed citations
11.
Kaya, Ibrahim, et al.. (2021). (CO2)n+, (H2O)n+, and (H2O)n+ (CO2) gas cluster ion beam secondary ion mass spectrometry: analysis of lipid extracts, cells, and Alzheimer’s model mouse brain tissue. Analytical and Bioanalytical Chemistry. 413(16). 4181–4194. 13 indexed citations
12.
Kaya, Ibrahim, et al.. (2020). Multimodal MALDI Imaging Mass Spectrometry Reveals Spatially Correlated Lipid and Protein Changes in Mouse Heart with Acute Myocardial Infarction. Journal of the American Society for Mass Spectrometry. 31(10). 2133–2142. 33 indexed citations
13.
Michno, Wojciech, Sofie Nyström, Tammaryn Lashley, et al.. (2019). Pyroglutamation of amyloid-βx-42 (Aβx-42) followed by Aβ1–40 deposition underlies plaque polymorphism in progressing Alzheimer’s disease pathology. Journal of Biological Chemistry. 294(17). 6719–6732. 53 indexed citations
14.
Michno, Wojciech, Ibrahim Kaya, Sofie Nyström, et al.. (2018). Multimodal Chemical Imaging of Amyloid Plaque Polymorphism Reveals Aβ Aggregation Dependent Anionic Lipid Accumulations and Metabolism. Analytical Chemistry. 90(13). 8130–8138. 42 indexed citations
15.
Kaya, Ibrahim, Henrik Zetterberg, Kaj Blennow, & Jörg Hanrieder. (2018). Shedding Light on the Molecular Pathology of Amyloid Plaques in Transgenic Alzheimer’s Disease Mice Using Multimodal MALDI Imaging Mass Spectrometry. ACS Chemical Neuroscience. 9(7). 1802–1817. 69 indexed citations
16.
Kaya, Ibrahim, Eva Jennische, Stefan Lange, & Per Malmberg. (2018). Dual polarity MALDI imaging mass spectrometry on the same pixel points reveals spatial lipid localizations at high-spatial resolutions in rat small intestine. Analytical Methods. 10(21). 2428–2435. 19 indexed citations
17.
Kaya, Ibrahim, Wojciech Michno, Dimitri Brinet, et al.. (2017). Histology-Compatible MALDI Mass Spectrometry Based Imaging of Neuronal Lipids for Subsequent Immunofluorescent Staining. Analytical Chemistry. 89(8). 4685–4694. 62 indexed citations
19.
Kaya, Ibrahim, Dimitri Brinet, Wojciech Michno, et al.. (2016). Delineating Amyloid Plaque Associated Neuronal Sphingolipids in Transgenic Alzheimer’s Disease Mice (tgArcSwe) Using MALDI Imaging Mass Spectrometry. ACS Chemical Neuroscience. 8(2). 347–355. 76 indexed citations
20.
Michno, Wojciech, et al.. (2016). Probing amyloid‐β pathology in transgenic Alzheimer's disease (tgArcSwe) mice using MALDI imaging mass spectrometry. Journal of Neurochemistry. 138(3). 469–478. 36 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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