Daniel M. Johnstone

3.1k total citations
66 papers, 2.2k citations indexed

About

Daniel M. Johnstone is a scholar working on Radiology, Nuclear Medicine and Imaging, Molecular Biology and Cellular and Molecular Neuroscience. According to data from OpenAlex, Daniel M. Johnstone has authored 66 papers receiving a total of 2.2k indexed citations (citations by other indexed papers that have themselves been cited), including 26 papers in Radiology, Nuclear Medicine and Imaging, 24 papers in Molecular Biology and 22 papers in Cellular and Molecular Neuroscience. Recurrent topics in Daniel M. Johnstone's work include Laser Applications in Dentistry and Medicine (26 papers), Photoreceptor and optogenetics research (19 papers) and Iron Metabolism and Disorders (11 papers). Daniel M. Johnstone is often cited by papers focused on Laser Applications in Dentistry and Medicine (26 papers), Photoreceptor and optogenetics research (19 papers) and Iron Metabolism and Disorders (11 papers). Daniel M. Johnstone collaborates with scholars based in Australia, France and United Kingdom. Daniel M. Johnstone's co-authors include Jonathan Stone, John Mitrofanis, Cécile Moro, Sivaraman Purushothuman, Alim‐Louis Benabid, Elizabeth A. Milward, Nabil El Massri, Napoleon Torrès, C. Chabrol and Florian Reinhart and has published in prestigious journals such as SHILAP Revista de lepidopterología, PLoS ONE and Hepatology.

In The Last Decade

Daniel M. Johnstone

65 papers receiving 2.1k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Daniel M. Johnstone Australia 29 1.1k 550 528 377 303 66 2.2k
Brian E. Mace United States 23 266 0.3× 228 0.4× 766 1.5× 538 1.4× 287 0.9× 44 2.2k
Kenji Yoshikawa Japan 27 551 0.5× 312 0.6× 550 1.0× 324 0.9× 134 0.4× 101 2.5k
Imre Lengyel United Kingdom 30 822 0.8× 403 0.7× 1.0k 1.9× 285 0.8× 167 0.6× 123 2.6k
Fenghua Chen China 25 189 0.2× 477 0.9× 473 0.9× 147 0.4× 372 1.2× 67 2.0k
Samuel Barnes United States 17 470 0.4× 267 0.5× 458 0.9× 704 1.9× 983 3.2× 38 2.5k
D. Gambi Italy 31 260 0.2× 652 1.2× 762 1.4× 549 1.5× 700 2.3× 106 3.1k
Carlo Nucci Italy 31 1.2k 1.1× 201 0.4× 750 1.4× 188 0.5× 389 1.3× 121 3.1k
Julia Krämer Germany 22 519 0.5× 117 0.2× 356 0.7× 442 1.2× 235 0.8× 54 1.8k
Kengo Sato Japan 33 287 0.3× 825 1.5× 914 1.7× 320 0.8× 72 0.2× 82 2.8k
Tao Xu China 23 429 0.4× 276 0.5× 558 1.1× 265 0.7× 102 0.3× 126 1.7k

Countries citing papers authored by Daniel M. Johnstone

Since Specialization
Citations

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

Fields of papers citing papers by Daniel M. Johnstone

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Daniel M. Johnstone. 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 Daniel M. Johnstone. The network helps show where Daniel M. Johnstone may publish in the future.

Co-authorship network of co-authors of Daniel M. Johnstone

This figure shows the co-authorship network connecting the top 25 collaborators of Daniel M. Johnstone. A scholar is included among the top collaborators of Daniel M. Johnstone 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 Daniel M. Johnstone. Daniel M. Johnstone 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.
Johnstone, Daniel M., et al.. (2024). Updating the diagnosis and management of iron deficiency in the era of routine ferritin testing of blood donors by Australian Red Cross Lifeblood. The Medical Journal of Australia. 221(7). 360–364. 1 indexed citations
2.
Stone, Jonathan, Stephen R. Robinson, John Mitrofanis, & Daniel M. Johnstone. (2024). A Triple Mystery of Insidious Organ Failure: Are the Lung, Kidney and Brain All Damaged by the Ageing Pulse?. Biomedicines. 12(9). 1969–1969. 1 indexed citations
3.
Ting, Ka Ka, Paul Coleman, Hani Jieun Kim, et al.. (2023). Vascular senescence and leak are features of the early breakdown of the blood–brain barrier in Alzheimer’s disease models. GeroScience. 45(6). 3307–3331. 42 indexed citations
4.
Gomez, Henry M., Alexandra C. Brown, Richard Kim, et al.. (2021). Investigating the Links between Lower Iron Status in Pregnancy and Respiratory Disease in Offspring Using Murine Models. Nutrients. 13(12). 4461–4461. 4 indexed citations
5.
Johnstone, Daniel M., Catherine Hamilton‐Giachritsis, Cécile Moro, et al.. (2021). Exploring the Use of Intracranial and Extracranial (Remote) Photobiomodulation Devices in Parkinson’s Disease: A Comparison of Direct and Indirect Systemic Stimulations. Journal of Alzheimer s Disease. 83(4). 1399–1413. 26 indexed citations
6.
Kim, Ji Yeon, et al.. (2020). Elucidating the time course of the transcriptomic response to photobiomodulation through gene co-expression analysis. Journal of Photochemistry and Photobiology B Biology. 208. 111916–111916. 9 indexed citations
7.
Liebert, Ann, et al.. (2019). “Photobiomics”: Can Light, Including Photobiomodulation, Alter the Microbiome?. Photobiomodulation Photomedicine and Laser Surgery. 37(11). 681–693. 65 indexed citations
8.
9.
Johnstone, Daniel M., et al.. (2019). Remote photobiomodulation: an emerging strategy for neuroprotection. Neural Regeneration Research. 14(12). 2086–2086. 25 indexed citations
10.
Bicknell, Brian, Ann Liebert, Daniel M. Johnstone, & Hosen Kiat. (2018). Photobiomodulation of the microbiome: implications for metabolic and inflammatory diseases. Lasers in Medical Science. 34(2). 317–327. 62 indexed citations
11.
Ali, Md Khadem, Richard Kim, Jemma Mayall, et al.. (2017). Role of iron in the pathogenesis of respiratory disease. The International Journal of Biochemistry & Cell Biology. 88. 181–195. 79 indexed citations
12.
Moro, Cécile, Nabil El Massri, Fannie Darlot, et al.. (2016). Effects of a higher dose of near-infrared light on clinical signs and neuroprotection in a monkey model of Parkinson's disease. Brain Research. 1648(Pt A). 19–26. 25 indexed citations
13.
Reinhart, Florian, Nabil El Massri, Daniel M. Johnstone, et al.. (2016). Near-infrared light (670 nm) reduces MPTP-induced parkinsonism within a broad therapeutic time window. Experimental Brain Research. 234(7). 1787–1794. 28 indexed citations
14.
Bettencourt, Conceição, Paola Forabosco, Sarah Wiethoff, et al.. (2015). Gene co-expression networks shed light into diseases of brain iron accumulation. Neurobiology of Disease. 87. 59–68. 22 indexed citations
15.
Darlot, Fannie, Cécile Moro, Nabil El Massri, et al.. (2015). Near‐infrared light is neuroprotective in a monkey model of Parkinson disease. Annals of Neurology. 79(1). 59–75. 83 indexed citations
16.
Purushothuman, Sivaraman, et al.. (2014). Photobiomodulation with near infrared light mitigates Alzheimer’s disease-related pathology in cerebral cortex – evidence from two transgenic mouse models. Alzheimer s Research & Therapy. 6(1). 2–2. 129 indexed citations
17.
Purushothuman, Sivaraman, et al.. (2013). Saffron Pre-Treatment Offers Neuroprotection to Nigral and Retinal Dopaminergic Cells of MPTP-Treated mice. Journal of Parkinson s Disease. 3(1). 77–83. 54 indexed citations
18.
Purushothuman, Sivaraman, et al.. (2013). The impact of near-infrared light on dopaminergic cell survival in a transgenic mouse model of parkinsonism. Brain Research. 1535. 61–70. 56 indexed citations
19.
Johnstone, Daniel M., Ross M. Graham, Debbie Trinder, et al.. (2012). Brain transcriptome perturbations in the Hfe−/− mouse model of genetic iron loading. Brain Research. 1448. 144–152. 10 indexed citations
20.
Graham, Ross M., Anita C. G. Chua, Kim W. Carter, et al.. (2010). Hepatic iron loading in mice increases cholesterol biosynthesis†. Hepatology. 52(2). 462–471. 73 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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