Donovan Low

7.3k total citations · 4 hit papers
16 papers, 3.5k citations indexed

About

Donovan Low is a scholar working on Immunology, Neurology and Molecular Biology. According to data from OpenAlex, Donovan Low has authored 16 papers receiving a total of 3.5k indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Immunology, 6 papers in Neurology and 5 papers in Molecular Biology. Recurrent topics in Donovan Low's work include Immune cells in cancer (6 papers), Neuroinflammation and Neurodegeneration Mechanisms (6 papers) and Immune Response and Inflammation (4 papers). Donovan Low is often cited by papers focused on Immune cells in cancer (6 papers), Neuroinflammation and Neurodegeneration Mechanisms (6 papers) and Immune Response and Inflammation (4 papers). Donovan Low collaborates with scholars based in Singapore, United Kingdom and China. Donovan Low's co-authors include Florent Ginhoux, Guillaume Hoeffel, Shawn Lim, Tara L. Huber, Melanie Greter, Jerry Kok Yen Chan, Miriam Mérad, Lai Guan Ng, Igor M. Samokhvalov and Francisca F. Almeida and has published in prestigious journals such as The Journal of Experimental Medicine, Nature Neuroscience and Immunity.

In The Last Decade

Donovan Low

16 papers receiving 3.4k citations

Hit Papers

C-Myb+ Erythro-Myeloid Progenitor-Derived Fetal Monocytes... 2012 2026 2016 2021 2015 2013 2012 2014 250 500 750

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Donovan Low Singapore 12 1.8k 1.4k 961 438 368 16 3.5k
Hania Kébir Canada 22 2.0k 1.1× 1.5k 1.1× 1.2k 1.2× 291 0.7× 227 0.6× 39 4.4k
Igal Ifergan Canada 23 2.1k 1.2× 1.3k 1.0× 1.2k 1.3× 310 0.7× 222 0.6× 40 4.5k
Romain Cayrol Canada 21 1.5k 0.9× 1.4k 1.0× 1.2k 1.2× 298 0.7× 240 0.7× 45 4.1k
Ehud Hauben Israel 29 1.2k 0.7× 1.0k 0.8× 912 0.9× 714 1.6× 441 1.2× 51 3.7k
Guillaume Hoeffel France 17 3.1k 1.7× 1.6k 1.2× 1.0k 1.0× 276 0.6× 382 1.0× 25 4.7k
Alexander Flügel Germany 38 2.3k 1.2× 2.1k 1.5× 1.1k 1.1× 765 1.7× 496 1.3× 72 5.3k
Anat London Israel 16 1.1k 0.6× 1.6k 1.2× 953 1.0× 715 1.6× 523 1.4× 21 4.0k
David Gosselin Canada 20 1.6k 0.9× 1.4k 1.1× 1.4k 1.5× 403 0.9× 256 0.7× 32 3.7k
Monika Bradl Austria 40 1.8k 1.0× 1.8k 1.3× 1.6k 1.7× 584 1.3× 804 2.2× 75 6.1k
Katrin Kierdorf Germany 22 3.0k 1.6× 2.6k 1.9× 1.2k 1.2× 476 1.1× 465 1.3× 43 5.3k

Countries citing papers authored by Donovan Low

Since Specialization
Citations

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

Fields of papers citing papers by Donovan Low

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Donovan Low

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

All Works

16 of 16 papers shown
1.
Ydens, Elke, Lukas Amann, Bob Asselbergh, et al.. (2020). Profiling peripheral nerve macrophages reveals two macrophage subsets with distinct localization, transcriptome and response to injury. Nature Neuroscience. 23(5). 676–689. 163 indexed citations
2.
Radulescu, Carola I., Marta Garcia‐Miralles, Harwin Sidik, et al.. (2020). Reprint of: Manipulation of microbiota reveals altered callosal myelination and white matter plasticity in a model of Huntington disease. Neurobiology of Disease. 135. 104744–104744. 11 indexed citations
3.
Radulescu, Carola I., Marta Garcia‐Miralles, Harwin Sidik, et al.. (2019). Manipulation of microbiota reveals altered callosal myelination and white matter plasticity in a model of Huntington disease. Neurobiology of Disease. 127. 65–75. 51 indexed citations
4.
Ooi, Jolene, Sarah R. Langley, Xiaohong Xu, et al.. (2019). Unbiased Profiling of Isogenic Huntington Disease hPSC-Derived CNS and Peripheral Cells Reveals Strong Cell-Type Specificity of CAG Length Effects. Cell Reports. 26(9). 2494–2508.e7. 55 indexed citations
5.
Thion, Morgane Sonia, Coralie‐Anne Mosser, Isabelle Férézou, et al.. (2019). Biphasic Impact of Prenatal Inflammation and Macrophage Depletion on the Wiring of Neocortical Inhibitory Circuits. Cell Reports. 28(5). 1119–1126.e4. 41 indexed citations
6.
Ishihara, Keiichi, Ryohei Shimizu, Kazuyuki Takata, et al.. (2019). Perturbation of the immune cells and prenatal neurogenesis by the triplication of the Erg gene in mouse models of Down syndrome. Brain Pathology. 30(1). 75–91. 8 indexed citations
7.
Low, Donovan & Florent Ginhoux. (2018). Recent advances in the understanding of microglial development and homeostasis. Cellular Immunology. 330. 68–78. 39 indexed citations
8.
Mouffle, Christine, Florent Ginhoux, Donovan Low, et al.. (2018). Embryonic macrophages and microglia ablation alter the development of dorsal root ganglion sensory neurons in mouse embryos. Glia. 66(11). 2470–2486. 6 indexed citations
9.
Xu, Xiaohong, Bernice Sim, Yihui Huang, et al.. (2017). Reversal of Phenotypic Abnormalities by CRISPR/Cas9-Mediated Gene Correction in Huntington Disease Patient-Derived Induced Pluripotent Stem Cells. Stem Cell Reports. 8(3). 619–633. 169 indexed citations
10.
Lum, Fok‐Moon, Donovan Low, Yiping Fan, et al.. (2017). Zika Virus Infects Human Fetal Brain Microglia and Induces Inflammation. Clinical Infectious Diseases. 64(7). 914–920. 123 indexed citations
11.
Hoeffel, Guillaume, Jinmiao Chen, Yonit Lavin, et al.. (2015). C-Myb+ Erythro-Myeloid Progenitor-Derived Fetal Monocytes Give Rise to Adult Tissue-Resident Macrophages. Immunity. 42(4). 665–678. 829 indexed citations breakdown →
12.
Becher, Burkhard, Andreas Schlitzer, Jinmiao Chen, et al.. (2014). High-dimensional analysis of the murine myeloid cell system. Nature Immunology. 15(12). 1181–1189. 250 indexed citations
13.
Squarzoni, Paola, Guillaume Hoeffel, Lorena Pont‐Lezica, et al.. (2014). Microglia Modulate Wiring of the Embryonic Forebrain. Cell Reports. 8(5). 1271–1279. 498 indexed citations breakdown →
14.
Ginhoux, Florent, Shawn Lim, Guillaume Hoeffel, Donovan Low, & Tara L. Huber. (2013). Origin and differentiation of microglia. Frontiers in Cellular Neuroscience. 7. 45–45. 655 indexed citations breakdown →
15.
Hoeffel, Guillaume, Yilin Wang, Melanie Greter, et al.. (2012). Adult Langerhans cells derive predominantly from embryonic fetal liver monocytes with a minor contribution of yolk sac–derived macrophages. The Journal of Experimental Medicine. 209(6). 1167–1181. 561 indexed citations breakdown →
16.
Ho, Chun Loong, et al.. (2011). Rational Design of Fluorescent Biosensor for Cyclic di‐GMP. ChemBioChem. 12(18). 2753–2758. 5 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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