Yassene Mohammed

2.0k total citations
81 papers, 1.1k citations indexed

About

Yassene Mohammed is a scholar working on Molecular Biology, Spectroscopy and Immunology. According to data from OpenAlex, Yassene Mohammed has authored 81 papers receiving a total of 1.1k indexed citations (citations by other indexed papers that have themselves been cited), including 47 papers in Molecular Biology, 37 papers in Spectroscopy and 10 papers in Immunology. Recurrent topics in Yassene Mohammed's work include Advanced Proteomics Techniques and Applications (36 papers), Mass Spectrometry Techniques and Applications (19 papers) and Metabolomics and Mass Spectrometry Studies (15 papers). Yassene Mohammed is often cited by papers focused on Advanced Proteomics Techniques and Applications (36 papers), Mass Spectrometry Techniques and Applications (19 papers) and Metabolomics and Mass Spectrometry Studies (15 papers). Yassene Mohammed collaborates with scholars based in Netherlands, Canada and Germany. Yassene Mohammed's co-authors include Christoph H. Borchers, Magnus Palmblad, Andrew J. Percy, André M. Deelder, Angela Jackson, Derek Smith, Dominik Domański, Juncong Yang, Andrew G. Chambers and Robert Popp and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Nature Communications and Bioinformatics.

In The Last Decade

Yassene Mohammed

72 papers receiving 1.1k citations

Peers

Yassene Mohammed

SPECT

IMMUN

RNMI

Nico Pfeifer Germany

Wilson Wen Bin Goh Singapore

Stephan Aiche Germany

Marco Masseroli Italy

Christopher J. Langmead United States

Julie Klein France

Bernard de Bono United Kingdom

Jeremy L. Muhlich United States

Stefan Grüner Germany

Anne-Christin Hauschild Germany

Nico Pfeifer Germany

Yassene Mohammed

1.1k ×2.0

655 ×1.6

SPECT

234 ×1.6

IMMUN

123 ×1.1

RNMI

98 ×1.1

Citations per year, relative to Yassene Mohammed Yassene Mohammed (= 1×) peers Nico Pfeifer

Countries citing papers authored by Yassene Mohammed

Since Specialization

Citations

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

Fields of papers citing papers by Yassene Mohammed

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Yassene Mohammed

This figure shows the co-authorship network connecting the top 25 collaborators of Yassene Mohammed. A scholar is included among the top collaborators of Yassene Mohammed 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 Yassene Mohammed. Yassene Mohammed 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

Eiríksson, Finnur Freyr, et al.. (2025). Optimization of bottom-up proteomic sample preparation by design of experiments for absolute quantification of 257 proteins in human plasma using UPLC-MRM-MS. Expert Review of Proteomics. 22(5). 209–216.

Mohammed, Yassene, Pallab Bhowmick, & Christoph H. Borchers. (2025). MRMAssayDB: a comprehensive integrated resource for targeted proteomics assays. Expert Review of Proteomics. 22(10). 421–432.

Mohammed, Yassene, Vincent R. Richard, Victor Spicer, et al.. (2025). SysQuan: Repurposing SILAC Mice for the Cost-Effective Absolute Quantitation of the Human Proteome. Molecular & Cellular Proteomics. 24(6). 100974–100974.

Raslan, Hala M., et al.. (2024). Plasma expression and bioinformatic analysis of Mir-16, Mir-132, Mir-146 and Mir-223 in patients with rheumatoid arthritis. Human Gene. 42. 201352–201352.

Pětrošová, Helena, Angela Jackson, Darryl B. Hardie, et al.. (2024). Multiple reaction monitoring assays for large-scale quantitation of proteins from 20 mouse organs and tissues. Communications Biology. 7(1). 6–6. 5 indexed citations

Richard, Vincent R., Azad Eshghi, Yassene Mohammed, et al.. (2024). Establishing Personalized Blood Protein Reference Ranges Using Noninvasive Microsampling and Targeted Proteomics: Implications for Antidoping Strategies. Journal of Proteome Research. 23(5). 1779–1787. 4 indexed citations

Kant, Rik van der, Femke M. Feringa, Amanda McQuade, et al.. (2023). Multiomics of iPSC‐derived ApoE3‐ and ApoE4 astrocytes and microglia uncovers cell type specific dysregulation of immunometabolism. Alzheimer s & Dementia. 19(S13).

Kraaijpoel, Noémie, Frits I. Mulder, Marc Carrier, et al.. (2023). OC 46.1 Absolute Quantitative Proteomics for Occult Cancer Screening in Patient with Unprovoked Venous Thromboembolism: Results from the Prospective PLATO-VTE Study. Research and Practice in Thrombosis and Haemostasis. 7. 100597–100597. 1 indexed citations

Jin, Gan, J. de Vries, Jimmy J.L.L. Akkermans, et al.. (2023). Cellular Validation of a Chemically Improved Inhibitor Identifies Monoubiquitination on OTUB2. ACS Chemical Biology. 18(9). 2003–2013. 5 indexed citations

10.

Zhou, Enchen, Hiroyuki Nakashima, Rumei Li, et al.. (2023). Inhibition of DHCR24 activates LXRα to ameliorate hepatic steatosis and inflammation. EMBO Molecular Medicine. 15(8). 19 indexed citations

11.

Ferreira, Anaísa V., Jorge Domínguez‐Andrés, Özlem Bulut, et al.. (2023). Fatty acid desaturation and lipoxygenase pathways support trained immunity. Nature Communications. 14(1). 7385–7385. 19 indexed citations

12.

Smits, Wiep Klaas, Yassene Mohammed, Arnoud H. de Ru, et al.. (2022). Clostridioides difficile Phosphoproteomics Shows an Expansion of Phosphorylated Proteins in Stationary Growth Phase. mSphere. 7(1). e0091121–e0091121. 8 indexed citations

13.

Richard, Vincent R., Robert Popp, Alexander Brzhozovskiy, et al.. (2022). Early Prediction of COVID-19 Patient Survival by Targeted Plasma Multi-Omics and Machine Learning. Molecular & Cellular Proteomics. 21(10). 100277–100277. 24 indexed citations

14.

Mohammed, Yassene, Helena Pětrošová, Juncong Yang, et al.. (2021). Proteotyping of knockout mouse strains reveals sex- and strain-specific signatures in blood plasma. npj Systems Biology and Applications. 7(1). 25–25. 1 indexed citations

15.

Vreeker, Gerda C. M., Yassene Mohammed, Marco R. Bladergroen, et al.. (2020). Serum N‐Glycome analysis reveals pancreatic cancer disease signatures. Cancer Medicine. 9(22). 8519–8529. 30 indexed citations

16.

Eshghi, Azad, Jun Liu, Michael Chen, et al.. (2020). Concentration Determination of >200 Proteins in Dried Blood Spots for Biomarker Discovery and Validation. Molecular & Cellular Proteomics. 19(3). 540–553. 31 indexed citations

17.

Pětrošová, Helena, Suping Zhang, Darryl B. Hardie, et al.. (2018). Molecular phenotyping of laboratory mouse strains using 500 multiple reaction monitoring mass spectrometry plasma assays. Communications Biology. 1(1). 78–78. 19 indexed citations

18.

Percy, Andrew J., Juncong Yang, Andrew G. Chambers, et al.. (2016). Protocol for Standardizing High-to-Moderate Abundance Protein Biomarker Assessments Through an MRM-with-Standard-Peptides Quantitative Approach. Advances in experimental medicine and biology. 919. 515–530. 14 indexed citations

19.

Mohammed, Yassene & Christoph H. Borchers. (2015). An extensive library of surrogate peptides for all human proteins. Journal of Proteomics. 129. 93–97. 9 indexed citations

20.

Mohammed, Yassene & Magnus Palmblad. (2013). Simple Proteomics Data Analysis in the Object-Oriented PowerShell. Methods in molecular biology. 1007. 379–391. 1 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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