Martina Sattlecker

1.8k total citations
18 papers, 951 citations indexed

About

Martina Sattlecker is a scholar working on Molecular Biology, Physiology and Biophysics. According to data from OpenAlex, Martina Sattlecker has authored 18 papers receiving a total of 951 indexed citations (citations by other indexed papers that have themselves been cited), including 10 papers in Molecular Biology, 9 papers in Physiology and 5 papers in Biophysics. Recurrent topics in Martina Sattlecker's work include Alzheimer's disease research and treatments (9 papers), Spectroscopy Techniques in Biomedical and Chemical Research (5 papers) and Dementia and Cognitive Impairment Research (5 papers). Martina Sattlecker is often cited by papers focused on Alzheimer's disease research and treatments (9 papers), Spectroscopy Techniques in Biomedical and Chemical Research (5 papers) and Dementia and Cognitive Impairment Research (5 papers). Martina Sattlecker collaborates with scholars based in United Kingdom, Finland and Italy. Martina Sattlecker's co-authors include Nicholas Stone, Richard Dobson, Conrad Bessant, Simon Lovestone, Petroula Proitsi, Bruno Vellas, Andrew Simmons, Iwona Kłoszewska, Magda Tsolaki and Patrizia Mecocci and has published in prestigious journals such as PLoS ONE, TrAC Trends in Analytical Chemistry and The Analyst.

In The Last Decade

Martina Sattlecker

18 papers receiving 940 citations

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author Last Decade Papers Cites
Martina Sattlecker 477 410 159 152 143 18 951
Clovis Tauber 183 0.4× 150 0.4× 55 0.3× 40 0.3× 46 0.3× 67 955
Xiaogang Zhong 694 1.5× 466 1.1× 18 0.1× 128 0.8× 14 0.1× 32 1.2k
Sally Caine 282 0.6× 83 0.2× 246 1.5× 6 0.0× 120 0.8× 24 728
Viktor Dremin 162 0.3× 413 1.0× 204 1.3× 11 0.1× 76 0.5× 110 1.3k
Lorna Ewart 449 0.9× 133 0.3× 59 0.4× 25 0.2× 16 0.1× 64 1.8k
Richard Knight 541 1.1× 124 0.3× 9 0.1× 13 0.1× 33 0.2× 39 1.3k
Arthur R. Smith 189 0.4× 232 0.6× 36 0.2× 76 0.5× 4 0.0× 16 1.0k
Michael J. Lew 1.0k 2.2× 307 0.7× 19 0.1× 34 0.2× 6 0.0× 59 1.9k
Lishan Lin 446 0.9× 72 0.2× 15 0.1× 21 0.1× 16 0.1× 49 876

Countries citing papers authored by Martina Sattlecker

Since Specialization
Citations

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

Fields of papers citing papers by Martina Sattlecker

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Martina Sattlecker

This figure shows the co-authorship network connecting the top 25 collaborators of Martina Sattlecker. A scholar is included among the top collaborators of Martina Sattlecker 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 Martina Sattlecker. Martina Sattlecker is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

18 of 18 papers shown
1.
Khan, Ali, Richard Dobson, Martina Sattlecker, & Steven J. Kiddle. (2016). Alzheimer's disease: are blood and brain markers related? A systematic review. Annals of Clinical and Translational Neurology. 3(6). 455–462. 15 indexed citations
2.
Proitsi, Petroula, Min Kim, Luke Whiley, et al.. (2016). Association of blood lipids with Alzheimer's disease: A comprehensive lipidomics analysis. Alzheimer s & Dementia. 13(2). 140–151. 145 indexed citations
3.
Khan, Wasim, Carlos Aguilar, Steven J. Kiddle, et al.. (2015). A Subset of Cerebrospinal Fluid Proteins from a Multi-Analyte Panel Associated with Brain Atrophy, Disease Classification and Prediction in Alzheimer’s Disease. PLoS ONE. 10(8). e0134368–e0134368. 26 indexed citations
4.
Sattlecker, Martina, Mizanur Khondoker, Petroula Proitsi, et al.. (2015). Longitudinal Protein Changes in Blood Plasma Associated with the Rate of Cognitive Decline in Alzheimer’s Disease. Journal of Alzheimer s Disease. 49(4). 1105–1114. 23 indexed citations
5.
Dobson, Richard, et al.. (2014). Are Blood-Based Protein Biomarkers for Alzheimer's Disease also Involved in Other Brain Disorders? A Systematic Review. Journal of Alzheimer s Disease. 43(1). 303–314. 39 indexed citations
6.
Sattlecker, Martina, Steven J. Kiddle, Stephen Newhouse, et al.. (2014). Alzheimer's disease biomarker discovery using SOMAscan multiplexed protein technology. Alzheimer s & Dementia. 10(6). 724–734. 144 indexed citations
7.
Westwood, Sarah, Emanuela Leoni, Steven Lynham, et al.. (2014). P1‐008: BLOOD‐BASED BIOMARKERS OF ALZHEIMER'S DISEASE PATHOLOGY AND COGNITIVE DECLINE IN NON‐DEMENTED ELDERLY. Alzheimer s & Dementia. 10(4S_Part_8). 1 indexed citations
8.
Lovestone, Simon, Abdul Hye, Abhishek Dixit, et al.. (2014). F2‐03‐03: CLUSTERIN AS AN EARLY MEDIATOR OF AB‐INDUCED DISEASE PROCESSES: EVIDENCE FROM MAN. Alzheimer s & Dementia. 10(4S_Part_2). 2 indexed citations
9.
Sattlecker, Martina, Nicholas Stone, & Conrad Bessant. (2014). Current trends in machine-learning methods applied to spectroscopic cancer diagnosis. TrAC Trends in Analytical Chemistry. 59. 17–25. 35 indexed citations
10.
Kiddle, Steven J., Martina Sattlecker, Petroula Proitsi, et al.. (2013). Candidate Blood Proteome Markers of Alzheimer's Disease Onset and Progression: A Systematic Review and Replication Study. Journal of Alzheimer s Disease. 38(3). 515–531. 134 indexed citations
11.
Lunnon, Katie, Martina Sattlecker, Simon J. Furney, et al.. (2013). A Blood Gene Expression Marker of Early Alzheimer's Disease. Journal of Alzheimer s Disease. 33(3). 737–753. 69 indexed citations
12.
Lunnon, Katie, Martina Sattlecker, Leonard C. Schalkwyk, et al.. (2013). P1–199: MicroRNA biomarkers in Alzheimer's disease. Alzheimer s & Dementia. 9(4S_Part_6). 2 indexed citations
13.
Bazenet, Chantal, Steven J. Kiddle, Martina Sattlecker, et al.. (2013). P4–344: Candidate blood proteome markers of Alzheimer's disease onset and progression: A systematic review and replication study. Alzheimer s & Dementia. 9(4S_Part_22). 11 indexed citations
14.
Lunnon, Katie, Zina Ibrahim, Petroula Proitsi, et al.. (2012). Mitochondrial Dysfunction and Immune Activation are Detectable in Early Alzheimer's Disease Blood. Journal of Alzheimer s Disease. 30(3). 685–710. 117 indexed citations
15.
Horsnell, Jonathan, et al.. (2011). Raman spectroscopy – A potential new method for the intra-operative assessment of axillary lymph nodes. The Surgeon. 10(3). 123–127. 41 indexed citations
16.
Sattlecker, Martina, Rebecca Baker, Nicholas Stone, & Conrad Bessant. (2011). Support vector machine ensembles for breast cancer type prediction from mid-FTIR micro-calcification spectra. Chemometrics and Intelligent Laboratory Systems. 107(2). 363–370. 42 indexed citations
17.
Sattlecker, Martina, Conrad Bessant, Jennifer Smith, & Nicholas Stone. (2010). Investigation of support vector machines and Raman spectroscopy for lymph node diagnostics. The Analyst. 135(5). 895–895. 92 indexed citations
18.
Sattlecker, Martina, Nicholas Stone, Jennifer Smith, & Conrad Bessant. (2010). Assessment of robustness and transferability of classification models built for cancer diagnostics using Raman spectroscopy. Journal of Raman Spectroscopy. 42(5). 897–903. 13 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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