Angela Hodges

14.9k total citations · 1 hit paper
40 papers, 2.9k citations indexed

About

Angela Hodges is a scholar working on Molecular Biology, Physiology and Neurology. According to data from OpenAlex, Angela Hodges has authored 40 papers receiving a total of 2.9k indexed citations (citations by other indexed papers that have themselves been cited), including 24 papers in Molecular Biology, 18 papers in Physiology and 8 papers in Neurology. Recurrent topics in Angela Hodges's work include Alzheimer's disease research and treatments (14 papers), Bioinformatics and Genomic Networks (9 papers) and Neuroinflammation and Neurodegeneration Mechanisms (8 papers). Angela Hodges is often cited by papers focused on Alzheimer's disease research and treatments (14 papers), Bioinformatics and Genomic Networks (9 papers) and Neuroinflammation and Neurodegeneration Mechanisms (8 papers). Angela Hodges collaborates with scholars based in United Kingdom, United States and Italy. Angela Hodges's co-authors include Julian R. Sampson, Jeremy P. Cheadle, Julie Maynard, Nada Al Tassan, Nicholas I. Fleming, Nikolas H. Chmiel, Alison L. Livingston, D. Rhodri Davies, Geraint T. Williams and Sheila S. David and has published in prestigious journals such as Nature Genetics, The Journal of Cell Biology and Brain.

In The Last Decade

Angela Hodges

40 papers receiving 2.9k citations

Hit Papers

Inherited variants of MYH associated with somatic G:C→T:A... 2002 2026 2010 2018 2002 250 500 750

Peers

Angela Hodges
Jana Vandrovcová United Kingdom
Kinga Szigeti United States
Henne Holstege Netherlands
Jennie Taylor United States
Andrew J. Wilson United States
Jana Vandrovcová United Kingdom
Angela Hodges
Citations per year, relative to Angela Hodges Angela Hodges (= 1×) peers Jana Vandrovcová

Countries citing papers authored by Angela Hodges

Since Specialization
Citations

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

Fields of papers citing papers by Angela Hodges

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Angela Hodges

This figure shows the co-authorship network connecting the top 25 collaborators of Angela Hodges. A scholar is included among the top collaborators of Angela Hodges 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 Angela Hodges. Angela Hodges 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.
Leung, Kelvin Sze‐Yin, et al.. (2023). B-301 In-vivo Continuous Therapeutic Drug Monitoring With Electrochemical Aptamer-based Sensors. Clinical Chemistry. 69(Supplement_1). 1 indexed citations
2.
Hodges, Angela, Julia Schubert, Mattia Veronese, et al.. (2021). The blood–CSF–brain route of neurological disease: The indirect pathway into the brain. Neuropathology and Applied Neurobiology. 48(4). e12789–e12789. 26 indexed citations
3.
Park, Young Ho, Jung‐Min Pyun, Angela Hodges, et al.. (2021). Dysregulated expression levels of APH1B in peripheral blood are associated with brain atrophy and amyloid-β deposition in Alzheimer’s disease. Alzheimer s Research & Therapy. 13(1). 20 indexed citations
4.
Xu, Jin, Min Kim, Asger Wretlind, et al.. (2020). Integrated lipidomics and proteomics network analysis highlights lipid and immunity pathways associated with Alzheimer’s disease. Translational Neurodegeneration. 9(1). 36–36. 44 indexed citations
5.
Park, Young Ho, Angela Hodges, Andrew Simmons, et al.. (2020). Association of blood-based transcriptional risk scores with biomarkers for Alzheimer disease. Neurology Genetics. 6(6). e517–e517. 13 indexed citations
6.
Patel, Hamel, Angela Hodges, Charles Curtis, et al.. (2019). Transcriptomic analysis of probable asymptomatic and symptomatic alzheimer brains. Brain Behavior and Immunity. 80. 644–656. 81 indexed citations
7.
Rosa, Hannah S., Angela Hodges, Sobha Sivaprasad, et al.. (2019). Regional mitochondrial DNA and cell-type changes in post-mortem brains of non-diabetic Alzheimer’s disease are not present in diabetic Alzheimer’s disease. Scientific Reports. 9(1). 11386–11386. 20 indexed citations
8.
Carbajosa, Guillermo, Karim Malki, Nathan Lawless, et al.. (2018). Loss of Trem2 in microglia leads to widespread disruption of cell coexpression networks in mouse brain. Neurobiology of Aging. 69. 151–166. 27 indexed citations
9.
Voyle, Nicola, Aoife Keohane, Stephen Newhouse, et al.. (2015). A Pathway Based Classification Method for Analyzing Gene Expression for Alzheimer’s Disease Diagnosis. Journal of Alzheimer s Disease. 49(3). 659–669. 45 indexed citations
10.
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
11.
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
12.
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
13.
Proitsi, Petroula, Sang Hyuck Lee, Katie Lunnon, et al.. (2013). Alzheimer's disease susceptibility variants in the MS4A6A gene are associated with altered levels of MS4A6A expression in blood. Neurobiology of Aging. 35(2). 279–290. 46 indexed citations
14.
Velayudhan, Latha, Petroula Proitsi, Eric Westman, et al.. (2013). Entorhinal Cortex Thickness Predicts Cognitive Decline in Alzheimer's Disease. Journal of Alzheimer s Disease. 33(3). 755–766. 98 indexed citations
15.
Hodges, Angela, Gareth Hughes, Simon P. Brooks, et al.. (2007). Brain gene expression correlates with changes in behavior in the R6/1 mouse model of Huntington’s disease. Genes Brain & Behavior. 7(3). 288–299. 48 indexed citations
16.
Strand, Andrew D., Aaron K. Aragaki, Zachary C. Baquet, et al.. (2007). Conservation of Regional Gene Expression in Mouse and Human Brain. PLoS Genetics. 3(4). e59–e59. 78 indexed citations
17.
Jones, Lesley, Daniel R. Goldstein, Gareth Hughes, et al.. (2006). Assessment of the relationship between pre-chip and post-chip quality measures for Affymetrix GeneChip expression data. BMC Bioinformatics. 7(1). 211–211. 31 indexed citations
18.
Cheadle, Jeremy P., Lorraine Dobbie, Shelley Idziaszczyk, et al.. (2000). Genomic organization and comparative analysis of the mouse tuberous sclerosis 1 (Tsc1) locus. Mammalian Genome. 11(12). 1135–1138. 4 indexed citations
19.
Parry, Lee, Julie Maynard, Angela Hodges, et al.. (2000). Molecular analysis of the TSC1 and TSC2 tumour suppressor genes in sporadic glial and glioneuronal tumours. Human Genetics. 107(4). 350–356. 32 indexed citations
20.
Oldham, Jenny M., Angela Hodges, P. Schaare, P. C. Molan, & J. J. Bass. (1993). Nutritional dependence of insulin-like growth factor (IGF) receptors in skeletal muscle: measurement by light microscopic autoradiography.. Journal of Histochemistry & Cytochemistry. 41(3). 415–421. 8 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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