Mohammed Dakna

4.5k total citations
53 papers, 2.1k citations indexed

About

Mohammed Dakna is a scholar working on Molecular Biology, Atomic and Molecular Physics, and Optics and Artificial Intelligence. According to data from OpenAlex, Mohammed Dakna has authored 53 papers receiving a total of 2.1k indexed citations (citations by other indexed papers that have themselves been cited), including 14 papers in Molecular Biology, 11 papers in Atomic and Molecular Physics, and Optics and 10 papers in Artificial Intelligence. Recurrent topics in Mohammed Dakna's work include Quantum Information and Cryptography (10 papers), Advanced Proteomics Techniques and Applications (9 papers) and Metabolomics and Mass Spectrometry Studies (6 papers). Mohammed Dakna is often cited by papers focused on Quantum Information and Cryptography (10 papers), Advanced Proteomics Techniques and Applications (9 papers) and Metabolomics and Mass Spectrometry Studies (6 papers). Mohammed Dakna collaborates with scholars based in Germany, United Kingdom and France. Mohammed Dakna's co-authors include Harald Mischak, D.‐G. Welsch, L. Knöll, Tomáš Opatrný, Tiemo Anhut, Petra Zürbig, Joshua J. Coon, David M. Good, Jens Clausen and Joost P. Schanstra and has published in prestigious journals such as Bioinformatics, PLoS ONE and Gut.

In The Last Decade

Mohammed Dakna

49 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
Mohammed Dakna Germany 24 568 526 514 486 383 53 2.1k
Todd A. Johnson United States 25 350 0.6× 464 0.9× 1.1k 2.1× 130 0.3× 24 0.1× 63 2.6k
Marinette van der Graaf Netherlands 32 768 1.4× 84 0.2× 107 0.2× 371 0.8× 14 0.0× 88 2.8k
Kuang‐Yu Jen United States 27 1.4k 2.5× 285 0.5× 24 0.0× 43 0.1× 124 0.3× 79 2.9k
John Conklin United States 29 270 0.5× 40 0.1× 89 0.2× 47 0.1× 139 0.4× 103 2.0k
Shunsuke Furuta Japan 25 796 1.4× 35 0.1× 82 0.2× 56 0.1× 156 0.4× 87 2.4k
Antonio Picó Spain 26 275 0.5× 64 0.1× 345 0.7× 41 0.1× 17 0.0× 132 2.6k
Masafumi Koga Japan 24 449 0.8× 30 0.1× 339 0.7× 21 0.0× 103 0.3× 163 2.1k
Carolyn E. Mountford Australia 40 1.4k 2.6× 26 0.0× 95 0.2× 652 1.3× 14 0.0× 137 3.9k
Ioannis Sgouralis United States 18 265 0.5× 31 0.1× 64 0.1× 34 0.1× 187 0.5× 40 678
Takashi Imamura Japan 18 278 0.5× 54 0.1× 124 0.2× 50 0.1× 28 0.1× 85 1.2k

Countries citing papers authored by Mohammed Dakna

Since Specialization
Citations

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

Fields of papers citing papers by Mohammed Dakna

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Mohammed Dakna

This figure shows the co-authorship network connecting the top 25 collaborators of Mohammed Dakna. A scholar is included among the top collaborators of Mohammed Dakna 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 Mohammed Dakna. Mohammed Dakna 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.
Xylaki, Mary, Joseph Schérer, Mohammed Dakna, et al.. (2025). Proteomic Exploration of L1CAM+-Extracellular Vesicles from Plasma of Manifest and Prodromal Parkinson’s Disease. International Journal of Molecular Sciences. 26(23). 11564–11564.
2.
Bartl, Michael, Johanna Nilsson, Mohammed Dakna, et al.. (2024). Lysosomal and synaptic dysfunction markers in longitudinal cerebrospinal fluid of de novo Parkinson’s disease. npj Parkinson s Disease. 10(1). 102–102. 7 indexed citations
3.
Concha‐Marambio, Luis, Sandrina Weber, Carly M. Farris, et al.. (2023). Accurate Detection of α‐Synuclein Seeds in Cerebrospinal Fluid from Isolated Rapid Eye Movement Sleep Behavior Disorder and Patients with Parkinson's Disease in the DeNovo Parkinson (DeNoPa) Cohort. Movement Disorders. 38(4). 567–578. 59 indexed citations
4.
Abdi, Ilham Y., Michael Bartl, Mohammed Dakna, et al.. (2023). Cross-sectional proteomic expression in Parkinson's disease-related proteins in drug-naïve patients vs healthy controls with longitudinal clinical follow-up. Neurobiology of Disease. 177. 105997–105997. 15 indexed citations
5.
Bartl, Michael, Mohammed Dakna, Douglas Galasko, et al.. (2021). Biomarkers of neurodegeneration and glial activation validated in Alzheimer’s disease assessed in longitudinal cerebrospinal fluid samples of Parkinson’s disease. PLoS ONE. 16(10). e0257372–e0257372. 34 indexed citations
6.
Kromer, Christian, Dagmar Wilsmann‐Theis, Sascha Gerdes, et al.. (2019). Drug survival and reasons for drug discontinuation in palmoplantar pustulosis: a retrospective multicenter study. JDDG Journal der Deutschen Dermatologischen Gesellschaft. 17(5). 503–516. 23 indexed citations
7.
Hoffmann, D, Marina Komrakova, Dominik Saul, et al.. (2019). Chronic hyponatremia in patients with proximal femoral fractures after low energy trauma: A retrospective study in a level-1 trauma center. Bone Reports. 12. 100234–100234. 8 indexed citations
8.
Masanta, Wycliffe Omurwa, Andreas E. Zautner, Raimond Lugert, et al.. (2018). Proteome Profiling by Label‐Free Mass Spectrometry Reveals Differentiated Response of Campylobacter jejuni 81–176 to Sublethal Concentrations of Bile Acids. PROTEOMICS - CLINICAL APPLICATIONS. 13(3). e1800083–e1800083. 5 indexed citations
9.
Stalmach, Angélique, Iain B. McInnes, Holger Husi, et al.. (2014). Identification of Urinary Peptide Biomarkers Associated with Rheumatoid Arthritis. PLoS ONE. 9(8). e104625–e104625. 28 indexed citations
10.
Bhat, Akshay, Mohammed Dakna, & Harald Mischak. (2014). Integrating Proteomics Profiling Data Sets: A Network Perspective. Methods in molecular biology. 1243. 237–253. 2 indexed citations
11.
Nkuipou‐Kenfack, Esther, Flore Duranton, Nathalie Gayrard, et al.. (2014). Assessment of Metabolomic and Proteomic Biomarkers in Detection and Prognosis of Progression of Renal Function in Chronic Kidney Disease. PLoS ONE. 9(5). e96955–e96955. 86 indexed citations
12.
Chinello, Clizia, Gabriele De Sio, Andrew Smith, et al.. (2014). Urinary Signatures of Renal Cell Carcinoma Investigated by Peptidomic Approaches. PLoS ONE. 9(9). e106684–e106684. 28 indexed citations
13.
Frantzi, Maria, Jochen Metzger, Rosamonde E. Banks, et al.. (2013). Discovery and validation of urinary biomarkers for detection of renal cell carcinoma. Journal of Proteomics. 98. 44–58. 54 indexed citations
14.
Argilés, Àngel, Justyna Siwy, Flore Duranton, et al.. (2013). CKD273, a New Proteomics Classifier Assessing CKD and Its Prognosis. PLoS ONE. 8(5). e62837–e62837. 119 indexed citations
15.
Metzger, Jochen, Ahmed Negm, Ruben R. Plentz, et al.. (2012). Urine proteomic analysis differentiates cholangiocarcinoma from primary sclerosing cholangitis and other benign biliary disorders. Gut. 62(1). 122–130. 113 indexed citations
16.
Molin, Laura, Roberta Seraglia, Annunziata Lapolla, et al.. (2012). A comparison between MALDI-MS and CE-MS data for biomarker assessment in chronic kidney diseases. Journal of Proteomics. 75(18). 5888–5897. 51 indexed citations
17.
Haubitz, Marion, David M. Good, Alexander Woywodt, et al.. (2009). Identification and Validation of Urinary Biomarkers for Differential Diagnosis and Evaluation of Therapeutic Intervention in Anti-neutrophil Cytoplasmic Antibody-associated Vasculitis. Molecular & Cellular Proteomics. 8(10). 2296–2307. 87 indexed citations
18.
Kistler, Andreas D., Harald Mischak, Diane Poster, et al.. (2009). Identification of a unique urinary biomarker profile in patients with autosomal dominant polycystic kidney disease. Kidney International. 76(1). 89–96. 78 indexed citations
19.
Zürbig, Petra, Stéphane Decramer, Mohammed Dakna, et al.. (2009). The human urinary proteome reveals high similarity between kidney aging and chronic kidney disease. PROTEOMICS. 9(8). 2108–2117. 72 indexed citations
20.
Rossing, Kasper, Harald Mischak, Mohammed Dakna, et al.. (2008). Urinary Proteomics in Diabetes and CKD. Journal of the American Society of Nephrology. 19(7). 1283–1290. 224 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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