Milton H. Hamblin

2.7k total citations
34 papers, 2.1k citations indexed

About

Milton H. Hamblin is a scholar working on Molecular Biology, Cancer Research and Neurology. According to data from OpenAlex, Milton H. Hamblin has authored 34 papers receiving a total of 2.1k indexed citations (citations by other indexed papers that have themselves been cited), including 16 papers in Molecular Biology, 15 papers in Cancer Research and 11 papers in Neurology. Recurrent topics in Milton H. Hamblin's work include Neuroinflammation and Neurodegeneration Mechanisms (10 papers), Cancer-related molecular mechanisms research (10 papers) and MicroRNA in disease regulation (8 papers). Milton H. Hamblin is often cited by papers focused on Neuroinflammation and Neurodegeneration Mechanisms (10 papers), Cancer-related molecular mechanisms research (10 papers) and MicroRNA in disease regulation (8 papers). Milton H. Hamblin collaborates with scholars based in United States, China and India. Milton H. Hamblin's co-authors include Ke‐Jie Yin, Xuejing Zhang, Jean‐Pyo Lee, Austin C. Boese, Xuelian Tang, Kai Liu, Ping Sun, Lei Huang, Rodolfo Gonzalez and Yanbo Fan and has published in prestigious journals such as Journal of Neuroscience, The FASEB Journal and International Journal of Molecular Sciences.

In The Last Decade

Milton H. Hamblin

34 papers receiving 2.0k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Milton H. Hamblin United States 22 1.2k 984 381 253 172 34 2.1k
Xianshuang Liu United States 21 1.3k 1.1× 860 0.9× 390 1.0× 267 1.1× 250 1.5× 32 2.0k
Rongcai Jiang China 32 1.6k 1.3× 631 0.6× 478 1.3× 191 0.8× 330 1.9× 143 3.5k
Hong Ma China 26 1.0k 0.9× 389 0.4× 247 0.6× 126 0.5× 118 0.7× 74 1.9k
Fanglian Chen China 25 1.6k 1.4× 732 0.7× 551 1.4× 115 0.5× 140 0.8× 64 2.5k
Yuanpeng Xia China 24 812 0.7× 408 0.4× 360 0.9× 94 0.4× 186 1.1× 39 1.5k
Yaying Song China 23 1.0k 0.9× 522 0.5× 585 1.5× 91 0.4× 121 0.7× 50 1.7k
Zhaoli Han China 22 1.1k 1.0× 633 0.6× 460 1.2× 100 0.4× 92 0.5× 38 1.8k
Xintong Ge China 23 1.3k 1.1× 668 0.7× 486 1.3× 101 0.4× 142 0.8× 35 2.0k
Alexandra Szalad United States 20 750 0.6× 397 0.4× 311 0.8× 67 0.3× 239 1.4× 27 1.5k

Countries citing papers authored by Milton H. Hamblin

Since Specialization
Citations

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

Fields of papers citing papers by Milton H. Hamblin

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Milton H. Hamblin. 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 Milton H. Hamblin. The network helps show where Milton H. Hamblin may publish in the future.

Co-authorship network of co-authors of Milton H. Hamblin

This figure shows the co-authorship network connecting the top 25 collaborators of Milton H. Hamblin. A scholar is included among the top collaborators of Milton H. Hamblin 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 Milton H. Hamblin. Milton H. Hamblin 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.
2.
Li, Shun, et al.. (2023). Role of regulatory non-coding RNAs in traumatic brain injury. Neurochemistry International. 172. 105643–105643. 18 indexed citations
3.
Zhou, Chao, Ping Sun, Milton H. Hamblin, & Ke‐Jie Yin. (2022). Genetic deletion of Krüppel-like factor 11 aggravates traumatic brain injury. Journal of Neuroinflammation. 19(1). 281–281. 18 indexed citations
4.
5.
Sun, Ping, Milton H. Hamblin, & Ke‐Jie Yin. (2022). Non-coding RNAs in the regulation of blood–brain barrier functions in central nervous system disorders. Fluids and Barriers of the CNS. 19(1). 27–27. 44 indexed citations
6.
Du, Wa, et al.. (2021). Endothelial Cell Glucose Metabolism and Angiogenesis. Biomedicines. 9(2). 147–147. 57 indexed citations
7.
Hamblin, Milton H., et al.. (2021). Modulation of gene expression on a transcriptome-wide level following human neural stem cell transplantation in aged mouse stroke brains. Experimental Neurology. 347. 113913–113913. 17 indexed citations
8.
Lu, Haocheng, et al.. (2021). Transcription factor EB regulates cardiovascular homeostasis. EBioMedicine. 63. 103207–103207. 31 indexed citations
9.
Zhang, Mengqi, Milton H. Hamblin, & Ke‐Jie Yin. (2021). Long non-coding RNAs mediate cerebral vascular pathologies after CNS injuries. Neurochemistry International. 148. 105102–105102. 5 indexed citations
10.
Boese, Austin C., Jean‐Pyo Lee, & Milton H. Hamblin. (2020). Neurovascular protection by peroxisome proliferator-activated receptor α in ischemic stroke. Experimental Neurology. 331. 113323–113323. 22 indexed citations
11.
Zhang, Jing, Ping Sun, Chao Zhou, et al.. (2020). Regulatory microRNAs and vascular cognitive impairment and dementia. CNS Neuroscience & Therapeutics. 26(12). 1207–1218. 19 indexed citations
12.
Higashi, Yusuke, Shaw‐Yung Shai, Svitlana Danchuk, et al.. (2020). Endothelial deficiency of insulin-like growth factor-1 receptor reduces endothelial barrier function and promotes atherosclerosis in Apoe-deficient mice. American Journal of Physiology-Heart and Circulatory Physiology. 319(4). H730–H743. 24 indexed citations
13.
Boese, Austin C., et al.. (2020). Human neural stem cells improve early stage stroke outcome in delayed tissue plasminogen activator-treated aged stroke brains. Experimental Neurology. 329. 113275–113275. 38 indexed citations
14.
Boese, Austin C., Lin Chang, Ke‐Jie Yin, et al.. (2018). Sex differences in abdominal aortic aneurysms. American Journal of Physiology-Heart and Circulatory Physiology. 314(6). H1137–H1152. 42 indexed citations
15.
Boese, Austin C., Lin Chang, Patrice Delafontaine, et al.. (2017). Rapid estrogen receptor-α signaling mediated by ERK activation regulates vascular tone in male and ovary-intact female mice. American Journal of Physiology-Heart and Circulatory Physiology. 314(2). H330–H342. 13 indexed citations
16.
Tang, Xuelian, Kai Liu, Milton H. Hamblin, Yun Xu, & Ke‐Jie Yin. (2017). Genetic Deletion of Krüppel-Like Factor 11 Aggravates Ischemic Brain Injury. Molecular Neurobiology. 55(4). 2911–2921. 35 indexed citations
17.
Zhang, Xuejing, Xuelian Tang, Kai Liu, Milton H. Hamblin, & Ke‐Jie Yin. (2017). Long Noncoding RNA Malat1 Regulates Cerebrovascular Pathologies in Ischemic Stroke. Journal of Neuroscience. 37(7). 1797–1806. 244 indexed citations
18.
Gonzalez, Rodolfo, Milton H. Hamblin, & Jean‐Pyo Lee. (2016). Neural Stem Cell Transplantation and CNS Diseases. CNS & Neurological Disorders - Drug Targets. 15(8). 881–886. 40 indexed citations
19.
Zhang, J., Liyun Yuan, Xuejing Zhang, et al.. (2015). Altered long non-coding RNA transcriptomic profiles in brain microvascular endothelium after cerebral ischemia. Experimental Neurology. 277. 162–170. 177 indexed citations
20.
Huang, Lei, et al.. (2015). Bystander Effect Fuels Human Induced Pluripotent Stem Cell-Derived Neural Stem Cells to Quickly Attenuate Early Stage Neurological Deficits After Stroke. Stem Cells Translational Medicine. 4(7). 841–851. 102 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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