James D. Doecke

9.8k total citations · 3 hit papers
144 papers, 5.9k citations indexed

About

James D. Doecke is a scholar working on Physiology, Psychiatry and Mental health and Molecular Biology. According to data from OpenAlex, James D. Doecke has authored 144 papers receiving a total of 5.9k indexed citations (citations by other indexed papers that have themselves been cited), including 65 papers in Physiology, 53 papers in Psychiatry and Mental health and 36 papers in Molecular Biology. Recurrent topics in James D. Doecke's work include Alzheimer's disease research and treatments (60 papers), Dementia and Cognitive Impairment Research (45 papers) and Inflammatory Bowel Disease (15 papers). James D. Doecke is often cited by papers focused on Alzheimer's disease research and treatments (60 papers), Dementia and Cognitive Impairment Research (45 papers) and Inflammatory Bowel Disease (15 papers). James D. Doecke collaborates with scholars based in Australia, United States and Italy. James D. Doecke's co-authors include Colin L. Masters, Victor L. Villemagne, Christopher Fowler, Christopher C. Rowe, Ralph N. Martins, Alan Rembach, Vincent Doré, Qiao‐Xin Li, Naoki Kaneko and Yutaka Arahata and has published in prestigious journals such as Nature, Bioinformatics and Gastroenterology.

In The Last Decade

James D. Doecke

133 papers receiving 5.8k 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.

High performance plasma amyloid-β biomarkers for Alzheimer’s disease

2018 1.1k citations Akinori Nakamura, Naoki Kaneko et al. Nature profile →
Gluten Causes Gastrointestinal Symptoms in Subjects Without Celiac Disease: A Double-Blind Randomized Placebo-Controlled Trial

2011 516 citations James D. Doecke et al. profile →
Plasma Aβ42/40 ratio, p‐tau181, GFAP, and NfL across the Alzheimer's disease continuum: A cross‐sectional and longitudinal study in the AIBL cohort

2022 155 citations Pratishtha Chatterjee, Steve Pedrini et al. Alzheimer s & Dementia profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
James D. Doecke Australia	36	2.6k	1.7k	1.6k	714	643	144	5.9k
Teodoro Bottiglieri United States	62	2.3k 0.9×	3.1k 1.8×	1.3k 0.9×	493 0.7×	936 1.5×	249	11.7k
Tuula Pirttilä Finland	45	4.2k 1.6×	1.9k 1.1×	2.8k 1.8×	1.4k 1.9×	424 0.7×	119	7.6k
Elena Faccenda United Kingdom	43	1.9k 0.7×	5.9k 3.4×	466 0.3×	349 0.5×	793 1.2×	61	13.2k
Joanna L Sharman United Kingdom	40	1.9k 0.7×	5.8k 3.3×	455 0.3×	343 0.5×	789 1.2×	55	12.8k
Pierluigi Navarra Italy	43	947 0.4×	1.9k 1.1×	478 0.3×	841 1.2×	445 0.7×	246	6.6k
Massimiliano Copetti Italy	54	1.3k 0.5×	2.0k 1.2×	1.2k 0.8×	718 1.0×	941 1.5×	309	9.5k
Klaus Faßbender Germany	61	3.0k 1.1×	3.4k 2.0×	637 0.4×	2.7k 3.7×	2.6k 4.1×	263	12.5k
S. M. Sumi United States	40	4.6k 1.8×	2.2k 1.3×	2.4k 1.6×	1.3k 1.8×	456 0.7×	88	8.8k
Takashi Sakurai Japan	39	1.9k 0.7×	1.3k 0.8×	1.0k 0.7×	441 0.6×	381 0.6×	278	5.9k
Qing Wang China	50	1.3k 0.5×	3.3k 1.9×	338 0.2×	1.6k 2.3×	1.0k 1.6×	359	10.0k

Countries citing papers authored by James D. Doecke

Since Specialization

Citations

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

Fields of papers citing papers by James D. Doecke

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by James D. Doecke. 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 James D. Doecke. The network helps show where James D. Doecke may publish in the future.

Co-authorship network of co-authors of James D. Doecke

This figure shows the co-authorship network connecting the top 25 collaborators of James D. Doecke. A scholar is included among the top collaborators of James D. Doecke 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 James D. Doecke. James D. Doecke 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

Wang, Yihan, Christopher Fowler, Colin L. Masters, et al.. (2025). Development and Validation of a Tool to Predict Onset of Mild Cognitive Impairment and Alzheimer Dementia. JAMA Network Open. 8(1). e2453756–e2453756. 2 indexed citations

Doecke, James D., Christopher Fowler, Vincent Doré, et al.. (2025). Multivariate models using NULISAseq and plasma p‐tau217 for staging Alzheimer's disease. Alzheimer s & Dementia. 21(10). e70793–e70793.

Rainey‐Smith, Stephanie R., et al.. (2024). Sleep discrepancy and cognitive function in community‐dwelling older adults. Journal of Sleep Research. 34(1). e14288–e14288. 1 indexed citations

Huang, Xin, Christopher Fowler, Qiao‐Xin Li, et al.. (2023). Amyloid‐β and monocytes in Alzheimer’s disease. Alzheimer s & Dementia. 19(S12). 1 indexed citations

Winston, Charisse N., Oliver Langford, Rema Raman, et al.. (2023). Evaluation of Blood-Based Plasma Biomarkers as Potential Markers of Amyloid Burden in Preclinical Alzheimer’s Disease. Journal of Alzheimer s Disease. 92(1). 95–107. 10 indexed citations

Piccirella, Simona, Leander Van Neste, Christopher Fowler, et al.. (2023). The performance of AlzoSure® Predict in stratifying the risk to experience a significant cognitive deterioration, due to Alzheimer’s Disease. Alzheimer s & Dementia. 19(S14). 1 indexed citations

Rainey‐Smith, Stephanie R., Victor L. Villemagne, James D. Doecke, et al.. (2023). Physical activity and brain amyloid beta: A longitudinal analysis of cognitively unimpaired older adults. Alzheimer s & Dementia. 20(2). 1350–1359. 11 indexed citations

Feizpour, Azadeh, Vincent Doré, James D. Doecke, et al.. (2023). Prognostic utility of plasma p217+tau vs amyloid and tau PET in the Alzheimer’s continuum. Alzheimer s & Dementia. 19(S14). 1 indexed citations

Mortlock, Sally, Anton Lord, Grant W. Montgomery, et al.. (2022). An Extremes of Phenotype Approach Confirms Significant Genetic Heterogeneity in Patients with Ulcerative Colitis. Journal of Crohn s and Colitis. 17(2). 277–288. 5 indexed citations

10.

Pedrini, Steve, James D. Doecke, Eugene Hone, et al.. (2022). Plasma high‐density lipoprotein cargo is altered in Alzheimer's disease and is associated with regional brain volume. Journal of Neurochemistry. 163(1). 53–67. 13 indexed citations

11.

Masters, Colin L., et al.. (2022). A Conformational Variant of p53 (U-p53AZ) as Blood-Based Biomarker for the Prediction of the Onset of Symptomatic Alzheimer's Disease. The Journal of Prevention of Alzheimer s Disease. 9(3). 469–479. 12 indexed citations

12.

Liu, Yuhui, Jun Wang, Qiao‐Xin Li, et al.. (2021). Association of naturally occurring antibodies to β-amyloid with cognitive decline and cerebral amyloidosis in Alzheimer’s disease. Science Advances. 7(1). 31 indexed citations

13.

Peterson, Christine B., et al.. (2020). Bayesian modeling of multiple structural connectivity networks during the progression of Alzheimer's disease. arXiv (Cornell University). 11 indexed citations

14.

Fowler, Christopher, Qiao‐Xin Li, Christopher C. Rowe, et al.. (2020). Decreased cerebrospinal fluid neuronal pentraxin receptor is associated with PET-Aβ load and cerebrospinal fluid Aβ in a pilot study of Alzheimer’s disease. Neuroscience Letters. 731. 135078–135078. 5 indexed citations

15.

Vacher, Michaël, Tenielle Porter, Victor L. Villemagne, et al.. (2019). Validation of a priori candidate Alzheimer’s disease SNPs with brain amyloid-beta deposition. Scientific Reports. 9(1). 17069–17069. 13 indexed citations

16.

Lan, Jiayi, Antonio Núñez Galindo, James D. Doecke, et al.. (2018). Systematic Evaluation of the Use of Human Plasma and Serum for Mass-Spectrometry-Based Shotgun Proteomics. Journal of Proteome Research. 17(4). 1426–1435. 35 indexed citations

17.

Nakamura, Akinori, Naoki Kaneko, Victor L. Villemagne, et al.. (2018). High performance plasma amyloid-beta biomarkers for Alzheimer's disease. Nature. 554(7691). 160 indexed citations

18.

Fripp, Jürgen, et al.. (2017). Comparisons of neurodegeneration over time between healthy ageing and Alzheimer's disease cohorts via Bayesian inference. BMJ Open. 7(2). e012174–e012174. 9 indexed citations

19.

Doecke, James D., Lisa A. Simms, Zhen Zhao, et al.. (2013). Genetic Susceptibility in IBD. Inflammatory Bowel Diseases. 19(2). 240–245. 35 indexed citations

20.

Fowler, Elizabeth, James D. Doecke, Lisa A. Simms, et al.. (2008). Novel NOD2 haplotype strengthens the association between TLR4 Asp299Gly and Crohn's disease in an Australian population.. Griffith Research Online (Griffith University, Queensland, Australia). 34 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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