Magda Bictash

3.9k total citations · 1 hit paper
25 papers, 2.2k citations indexed

About

Magda Bictash is a scholar working on Molecular Biology, Public Health, Environmental and Occupational Health and Pharmacology. According to data from OpenAlex, Magda Bictash has authored 25 papers receiving a total of 2.2k indexed citations (citations by other indexed papers that have themselves been cited), including 21 papers in Molecular Biology, 6 papers in Public Health, Environmental and Occupational Health and 5 papers in Pharmacology. Recurrent topics in Magda Bictash's work include Metabolomics and Mass Spectrometry Studies (9 papers), Cholinesterase and Neurodegenerative Diseases (5 papers) and Nutritional Studies and Diet (5 papers). Magda Bictash is often cited by papers focused on Metabolomics and Mass Spectrometry Studies (9 papers), Cholinesterase and Neurodegenerative Diseases (5 papers) and Nutritional Studies and Diet (5 papers). Magda Bictash collaborates with scholars based in United Kingdom, United States and China. Magda Bictash's co-authors include Jeremy K. Nicholson, Elaine Holmes, Jeremiah Stamler, Paul Elliott, Queenie Chan, Ian Brown, Timothy M. D. Ebbels, Martha L. Daviglus, Ivan Kok Seng Yap and Ruey Leng Loo and has published in prestigious journals such as Nature, Nature Genetics and Analytical Chemistry.

In The Last Decade

Magda Bictash

24 papers receiving 2.2k citations

Hit Papers

align trajectories

What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

Human metabolic phenotype diversity and its association with diet and blood pressure

2008 813 citations Elaine Holmes, Ruey Leng Loo et al. Nature profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Magda Bictash United Kingdom	17	1.5k	563	501	236	210	25	2.2k
Werner Römisch‐Margl Germany	26	1.9k 1.3×	822 1.5×	254 0.5×	396 1.7×	104 0.5×	43	2.8k
Blandine Comte France	33	1.3k 0.9×	741 1.3×	245 0.5×	130 0.6×	76 0.4×	79	3.0k
Stewart F. Graham United States	30	1.5k 1.0×	695 1.2×	109 0.2×	111 0.5×	118 0.6×	106	2.8k
Quinlyn A. Soltow United States	23	1.4k 1.0×	596 1.1×	210 0.4×	106 0.4×	142 0.7×	33	2.6k
Céline Fernandez Sweden	26	2.7k 1.8×	1.7k 3.1×	457 0.9×	308 1.3×	99 0.5×	40	4.1k
Suzan Wopereis Netherlands	35	1.6k 1.1×	1.2k 2.1×	599 1.2×	630 2.7×	133 0.6×	91	3.3k
Ferdi A. van Dorsten Netherlands	18	1.3k 0.9×	281 0.5×	134 0.3×	138 0.6×	285 1.4×	24	2.3k
Ina Nemet United States	28	1.3k 0.9×	689 1.2×	153 0.3×	145 0.6×	55 0.3×	59	2.5k
Lee D. Roberts United Kingdom	24	1.5k 1.0×	1.0k 1.8×	150 0.3×	163 0.7×	79 0.4×	67	2.7k
Jost Klawitter United States	32	981 0.7×	216 0.4×	149 0.3×	187 0.8×	60 0.3×	124	2.9k

Countries citing papers authored by Magda Bictash

Since Specialization

Citations

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

Fields of papers citing papers by Magda Bictash

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Magda Bictash

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

Ho, Andrew, Fiona Jeganathan, Magda Bictash, & Han-Jou Chen. (2025). Identification of novel small molecule chaperone activators for neurodegenerative disease treatment. Biomedicine & Pharmacotherapy. 187. 118049–118049.

Atilano, Magda L., Sebastian Grönke, Teresa Niccoli, et al.. (2021). Enhanced insulin signalling ameliorates C9orf72 hexanucleotide repeat expansion toxicity in Drosophila. eLife. 10. 20 indexed citations

Magno, Lorenza, Tom D. Bunney, Emma Mead, Fredrik Svensson, & Magda Bictash. (2021). TREM2/PLCγ2 signalling in immune cells: function, structural insight, and potential therapeutic modulation. Molecular Neurodegeneration. 16(1). 22–22. 44 indexed citations

Zhao, Yuguang, Fredrik Svensson, David Steadman, et al.. (2021). Structural Insights into Notum Covalent Inhibition. Journal of Medicinal Chemistry. 64(15). 11354–11363. 8 indexed citations

Bictash, Magda, et al.. (2020). Changing the HTS Paradigm: AI-Driven Iterative Screening for Hit Finding. SLAS DISCOVERY. 26(2). 257–262. 36 indexed citations

Willis, Nicky J., Yuguang Zhao, Hannah L. Woodward, et al.. (2020). 5-Phenyl-1,3,4-oxadiazol-2(3H)-ones Are Potent Inhibitors of Notum Carboxylesterase Activity Identified by the Optimization of a Crystallographic Fragment Screening Hit. Journal of Medicinal Chemistry. 63(21). 12942–12956. 17 indexed citations

Steadman, David, Hannah L. Woodward, Benjamin N. Atkinson, et al.. (2020). Screening of a Custom-Designed Acid Fragment Library Identifies 1-Phenylpyrroles and 1-Phenylpyrrolidines as Inhibitors of Notum Carboxylesterase Activity. Journal of Medicinal Chemistry. 63(17). 9464–9483. 15 indexed citations

Atkinson, Benjamin N., David Steadman, Yuguang Zhao, et al.. (2019). Scaffold-hopping identifies furano[2,3-d]pyrimidine amides as potent Notum inhibitors. Bioorganic & Medicinal Chemistry Letters. 30(3). 126751–126751. 14 indexed citations

Schwartzentruber, Jeremy, Stefanie Foskolou, Helena Kilpinen, et al.. (2017). Molecular and functional variation in iPSC-derived sensory neurons. Nature Genetics. 50(1). 54–61. 142 indexed citations

10.

Pike, Andy, Richard Storer, Robert M. Owen, et al.. (2016). The design, synthesis and evaluation of low molecular weight acidic sulfonamides as URAT1 inhibitors for the treatment of gout. MedChemComm. 7(8). 1572–1579. 10 indexed citations

11.

Gutteridge, Alex, Richard Storer, Robert M. Owen, et al.. (2016). Targeting the cAMP and Transforming Growth Factor-β Pathway Increases Proliferation to Promote Re-Epithelialization of Human Stem Cell-Derived Retinal Pigment Epithelium. Stem Cells Translational Medicine. 5(7). 925–937. 16 indexed citations

12.

Elliott, Paul, Joram M. Posma, Queenie Chan, et al.. (2015). Urinary metabolic signatures of human adiposity. Science Translational Medicine. 7(285). 285ra62–285ra62. 157 indexed citations

13.

Young, Gareth T., Alex Gutteridge, Anna Wilbrey, et al.. (2014). Characterizing Human Stem Cell–derived Sensory Neurons at the Single-cell Level Reveals Their Ion Channel Expression and Utility in Pain Research. Molecular Therapy. 22(8). 1530–1543. 98 indexed citations

14.

Wijeyesekera, Anisha, Philip A. Clarke, Magda Bictash, et al.. (2011). Quantitative UPLC-MS/MS analysis of the gut microbial co-metabolites phenylacetylglutamine, 4-cresyl sulphate and hippurate in human urine: INTERMAP Study. Analytical Methods. 4(1). 65–72. 28 indexed citations

15.

Russell, Rachel, et al.. (2011). In vitro and in vivo pharmacological characterisation of the potent and selective vasopressin V1A receptor antagonist 4-[4-(4-Chloro-phenyl)-5-[1,2,3]triazol-2-ylmethyl-4H-[1,2,4]triazol-3-yl]-piperidin-1-yl-(3,5-difluoro-phenyl) methanone (PF-00738245). European Journal of Pharmacology. 670(2-3). 347–355. 2 indexed citations

16.

Bictash, Magda, Timothy M. D. Ebbels, Queenie Chan, et al.. (2010). Opening up the "Black Box": Metabolic phenotyping and metabolome-wide association studies in epidemiology. Journal of Clinical Epidemiology. 63(9). 970–979. 105 indexed citations

17.

Heinzmann, Silke S., Ian Brown, Queenie Chan, et al.. (2010). Metabolic profiling strategy for discovery of nutritional biomarkers: proline betaine as a marker of citrus consumption. American Journal of Clinical Nutrition. 92(2). 436–443. 198 indexed citations

18.

Saric, Jasmina, Jia V. Li, Jonathan R. Swann, et al.. (2010). Integrated Cytokine and Metabolic Analysis of Pathological Responses to Parasite Exposure in Rodents. Journal of Proteome Research. 9(5). 2255–2264. 35 indexed citations

19.

Jenab, Mazda, Nadia Slimani, Magda Bictash, Pietro Ferrari, & Sheila Bingham. (2009). Biomarkers in nutritional epidemiology: applications, needs and new horizons. Human Genetics. 125(5-6). 507–525. 302 indexed citations

20.

Holmes, Elaine, Ruey Leng Loo, Jeremiah Stamler, et al.. (2008). Human metabolic phenotype diversity and its association with diet and blood pressure. Nature. 453(7193). 396–400. 813 indexed citations breakdown →

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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