Dale B. Bosco

3.4k total citations · 1 hit paper
40 papers, 2.2k citations indexed

About

Dale B. Bosco is a scholar working on Neurology, Immunology and Molecular Biology. According to data from OpenAlex, Dale B. Bosco has authored 40 papers receiving a total of 2.2k indexed citations (citations by other indexed papers that have themselves been cited), including 28 papers in Neurology, 17 papers in Immunology and 8 papers in Molecular Biology. Recurrent topics in Dale B. Bosco's work include Neuroinflammation and Neurodegeneration Mechanisms (27 papers), Immune cells in cancer (11 papers) and Neuroscience and Neuropharmacology Research (5 papers). Dale B. Bosco is often cited by papers focused on Neuroinflammation and Neurodegeneration Mechanisms (27 papers), Immune cells in cancer (11 papers) and Neuroscience and Neuropharmacology Research (5 papers). Dale B. Bosco collaborates with scholars based in United States, China and Thailand. Dale B. Bosco's co-authors include Long‐Jun Wu, Dai‐Shi Tian, Chuan Qin, Man Chen, Sheng Yang, Yong Liu, Luo-Qi Zhou, Jiaying Zheng, Tingjun Chen and Manling Xie and has published in prestigious journals such as Journal of Clinical Investigation, Neuron and Journal of Neuroscience.

In The Last Decade

Dale B. Bosco

40 papers receiving 2.2k citations

Hit Papers

Dual Functions of Microgl... 2019 2026 2021 2023 2019 100 200 300 400

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Dale B. Bosco United States 24 1.3k 552 532 461 323 40 2.2k
Pengfei Xu China 22 1.1k 0.8× 621 1.1× 889 1.7× 220 0.5× 271 0.8× 43 2.4k
Alicia A. Babcock Denmark 20 1.5k 1.1× 869 1.6× 483 0.9× 329 0.7× 435 1.3× 30 2.2k
Zhijun Zhang China 34 1.5k 1.1× 431 0.8× 1.0k 2.0× 387 0.8× 270 0.8× 68 2.9k
Samuel E. Marsh United States 11 1.7k 1.3× 909 1.6× 715 1.3× 372 0.8× 643 2.0× 13 2.5k
Mélanie Lalancette–Hébert Canada 22 1.2k 0.9× 702 1.3× 826 1.6× 303 0.7× 189 0.6× 26 2.5k
Luke M. Healy Canada 25 1.3k 0.9× 753 1.4× 737 1.4× 299 0.6× 322 1.0× 48 2.4k
Andrew D. Greenhalgh Canada 22 1.3k 1.0× 797 1.4× 676 1.3× 474 1.0× 270 0.8× 34 2.7k
Martin Wirenfeldt Denmark 18 960 0.7× 499 0.9× 343 0.6× 305 0.7× 262 0.8× 39 1.6k
Jun Suenaga Japan 15 1.1k 0.8× 450 0.8× 511 1.0× 222 0.5× 148 0.5× 36 2.0k
Stella Elkabes United States 27 834 0.6× 429 0.8× 787 1.5× 882 1.9× 368 1.1× 61 2.5k

Countries citing papers authored by Dale B. Bosco

Since Specialization
Citations

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

Fields of papers citing papers by Dale B. Bosco

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Dale B. Bosco. 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 Dale B. Bosco. The network helps show where Dale B. Bosco may publish in the future.

Co-authorship network of co-authors of Dale B. Bosco

This figure shows the co-authorship network connecting the top 25 collaborators of Dale B. Bosco. A scholar is included among the top collaborators of Dale B. Bosco 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 Dale B. Bosco. Dale B. Bosco 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.
Bosco, Dale B., Václav Křemen, Koichiro Haruwaka, et al.. (2024). Microglial TREM2 promotes phagocytic clearance of damaged neurons after status epilepticus. Brain Behavior and Immunity. 123. 540–555. 7 indexed citations
2.
Umpierre, Anthony D., Bohan Li, Katayoun Ayasoufi, et al.. (2024). Microglial P2Y6 calcium signaling promotes phagocytosis and shapes neuroimmune responses in epileptogenesis. Neuron. 112(12). 1959–1977.e10. 28 indexed citations
3.
Dheer, Aastha, Dale B. Bosco, Jiaying Zheng, et al.. (2023). Chemogenetic approaches reveal dual functions of microglia in seizures. Brain Behavior and Immunity. 115. 406–418. 10 indexed citations
4.
Zheng, Jiaying, Shunyi Zhao, Wenjing Zhang, et al.. (2023). TREM2 mediates MHCII-associated CD4+ T-cell response against gliomas. Neuro-Oncology. 26(5). 811–825. 14 indexed citations
5.
Qin, Chuan, Sheng Yang, Man Chen, et al.. (2023). Modulation of microglial metabolism facilitates regeneration in demyelination. iScience. 26(5). 106588–106588. 13 indexed citations
6.
7.
Chen, Tingjun, Dale B. Bosco, Yanlu Ying, Dai‐Shi Tian, & Long‐Jun Wu. (2021). The Emerging Role of Microglia in Neuromyelitis Optica. Frontiers in Immunology. 12. 616301–616301. 23 indexed citations
8.
Liu, Yong, Anthony D. Umpierre, Tingjun Chen, et al.. (2021). Optogenetic activation of spinal microglia triggers chronic pain in mice. PLoS Biology. 19(3). e3001154–e3001154. 51 indexed citations
9.
Yang, Sheng, Chuan Qin, Luo-Qi Zhou, et al.. (2021). Microglia reprogram metabolic profiles for phenotype and function changes in central nervous system. Neurobiology of Disease. 152. 105290–105290. 155 indexed citations
10.
Ma, Xue, Chuan Qin, Man Chen, et al.. (2021). Regulatory T cells protect against brain damage by alleviating inflammatory response in neuromyelitis optica spectrum disorder. Journal of Neuroinflammation. 18(1). 201–201. 29 indexed citations
11.
Wei, Yujia, Tingjun Chen, Dale B. Bosco, et al.. (2020). The complement C3‐C3aR pathway mediates microglia–astrocyte interaction following status epilepticus. Glia. 69(5). 1155–1169. 102 indexed citations
12.
Yi, Min‐Hee, Yu Liu, Kevin Liu, et al.. (2020). Chemogenetic Manipulation of Microglia Inhibits Neuroinflammation and Neuropathic Pain in Mice. SSRN Electronic Journal. 2 indexed citations
13.
Yi, Min‐Hee, Yong Liu, Kevin Liu, et al.. (2020). Chemogenetic manipulation of microglia inhibits neuroinflammation and neuropathic pain in mice. Brain Behavior and Immunity. 92. 78–89. 105 indexed citations
14.
Mo, Mingshu, Ukpong B. Eyo, Manling Xie, et al.. (2019). Microglial P2Y12 Receptor Regulates Seizure-Induced Neurogenesis and Immature Neuronal Projections. Journal of Neuroscience. 39(47). 9453–9464. 65 indexed citations
15.
Qin, Chuan, Luo-Qi Zhou, Sheng Yang, et al.. (2019). Dual Functions of Microglia in Ischemic Stroke. Neuroscience Bulletin. 35(5). 921–933. 421 indexed citations breakdown →
16.
Bosco, Dale B., Jiaying Zheng, Jiyun Peng, et al.. (2018). RNAseq analysis of hippocampal microglia after kainic acid-induced seizures. Molecular Brain. 11(1). 34–34. 38 indexed citations
17.
Qin, Chuan, Qian Liu, Luo‐Qi Zhou, et al.. (2018). Microglial TLR4-dependent autophagy induces ischemic white matter damage via STAT1/6 pathway. Theranostics. 8(19). 5434–5451. 88 indexed citations
18.
Bosco, Dale B., Mark D. Roycik, Yonghao Jin, et al.. (2017). A new synthetic matrix metalloproteinase inhibitor reduces human mesenchymal stem cell adipogenesis. PLoS ONE. 12(2). e0172925–e0172925. 16 indexed citations
19.
Gu, Rui, Xin Sun, Dale B. Bosco, et al.. (2017). Integrin β3/Akt signaling contributes to platelet-induced hemangioendothelioma growth. Scientific Reports. 7(1). 6455–6455. 11 indexed citations
20.
Rolfe, Alyssa J., Dale B. Bosco, Jingying Wang, et al.. (2016). Bioinformatic analysis reveals the expression of unique transcriptomic signatures in Zika virus infected human neural stem cells. Cell & Bioscience. 6(1). 42–42. 42 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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