Ding-Bo Yang

428 total citations
23 papers, 350 citations indexed

About

Ding-Bo Yang is a scholar working on Neurology, Epidemiology and Molecular Biology. According to data from OpenAlex, Ding-Bo Yang has authored 23 papers receiving a total of 350 indexed citations (citations by other indexed papers that have themselves been cited), including 16 papers in Neurology, 9 papers in Epidemiology and 8 papers in Molecular Biology. Recurrent topics in Ding-Bo Yang's work include Intracerebral and Subarachnoid Hemorrhage Research (9 papers), Traumatic Brain Injury and Neurovascular Disturbances (7 papers) and Intracranial Aneurysms: Treatment and Complications (5 papers). Ding-Bo Yang is often cited by papers focused on Intracerebral and Subarachnoid Hemorrhage Research (9 papers), Traumatic Brain Injury and Neurovascular Disturbances (7 papers) and Intracranial Aneurysms: Treatment and Complications (5 papers). Ding-Bo Yang collaborates with scholars based in China and United Kingdom. Ding-Bo Yang's co-authors include Quan Du, Xiao‐Qiao Dong, Wenhua Yu, Yong-Feng Shen, Zu-Yong Zhang, Qiang Zhu, Li Jiang, Hao Wang, Hao Wang and Hao Wang and has published in prestigious journals such as Scientific Reports, Brain Research and Biosensors and Bioelectronics.

In The Last Decade

Ding-Bo Yang

22 papers receiving 349 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Ding-Bo Yang China 12 228 124 115 66 52 23 350
Yong-Feng Shen China 14 247 1.1× 141 1.1× 120 1.0× 75 1.1× 51 1.0× 19 408
Sabine Voigt Netherlands 10 200 0.9× 69 0.6× 102 0.9× 135 2.0× 47 0.9× 29 456
Maria Dardioti Greece 12 204 0.9× 140 1.1× 114 1.0× 68 1.0× 27 0.5× 14 455
Peter DeRosa United States 7 215 0.9× 40 0.3× 52 0.5× 49 0.7× 52 1.0× 17 365
Liquan Lv China 12 193 0.8× 79 0.6× 78 0.7× 28 0.4× 21 0.4× 18 351
Shousen Wang China 10 193 0.8× 63 0.5× 91 0.8× 25 0.4× 27 0.5× 33 311
Ribal Darwish United States 9 166 0.7× 146 1.2× 73 0.6× 26 0.4× 25 0.5× 17 344
Florian Schlenk Germany 8 362 1.6× 50 0.4× 67 0.6× 36 0.5× 23 0.4× 8 472
Michael Hugelshofer Switzerland 11 264 1.2× 54 0.4× 94 0.8× 20 0.3× 21 0.4× 30 408
Jessica S. Wallisch United States 8 206 0.9× 178 1.4× 82 0.7× 25 0.4× 18 0.3× 19 352

Countries citing papers authored by Ding-Bo Yang

Since Specialization
Citations

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

Fields of papers citing papers by Ding-Bo Yang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Ding-Bo Yang. 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 Ding-Bo Yang. The network helps show where Ding-Bo Yang may publish in the future.

Co-authorship network of co-authors of Ding-Bo Yang

This figure shows the co-authorship network connecting the top 25 collaborators of Ding-Bo Yang. A scholar is included among the top collaborators of Ding-Bo Yang 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 Ding-Bo Yang. Ding-Bo Yang 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.
Yang, Xi, Md Belal Bin Heyat, Yang Li, et al.. (2025). Multimodal fusion of magnetoencephalography and photoacoustic imaging based on optical pump: Trends for wearable and noninvasive Brain–Computer interface. Biosensors and Bioelectronics. 278. 117321–117321. 2 indexed citations
2.
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4.
Wu, Xiaoyu, Zefan Wang, Linfeng Wang, et al.. (2022). α-MSH as a potential biomarker of severity and prognosis after intracerebral hemorrhage: A prospective cohort study. Clinica Chimica Acta. 538. 131–138. 4 indexed citations
5.
Yang, Ding-Bo, Ding Wang, Li Jiang, et al.. (2021). MerTK inhibits the activation of the NLRP3 inflammasome after subarachnoid hemorrhage by inducing autophagy. Brain Research. 1766. 147525–147525. 13 indexed citations
6.
Yang, Ding-Bo, Xiao‐Qiao Dong, Quan Du, et al.. (2021). Omi inhibition ameliorates neuron apoptosis and neurological deficit after subarachnoid hemorrhage in rats. Genes & Genomics. 43(12). 1423–1432. 3 indexed citations
7.
Yang, Ding-Bo, Xiao‐Qiao Dong, Quan Du, et al.. (2018). Clinical relevance of cleaved RAGE plasma levels as a biomarker of disease severity and functional outcome in aneurysmal subarachnoid hemorrhage. Clinica Chimica Acta. 486. 335–340. 8 indexed citations
8.
Yang, Ding-Bo, Wenhua Yu, Xiao‐Qiao Dong, et al.. (2017). Serum macrophage migration inhibitory factor concentrations correlate with prognosis of traumatic brain injury. Clinica Chimica Acta. 469. 99–104. 30 indexed citations
9.
Dong, Xiao‐Qiao, Wenhua Yu, Quan Du, et al.. (2017). Serum periostin concentrations and outcomes after severe traumatic brain injury. Clinica Chimica Acta. 471. 298–303. 20 indexed citations
10.
Dong, Xiao‐Qiao, Quan Du, Hao Wang, et al.. (2017). Comparison of plasma copeptin and multiple biomarkers for assessing prognosis of patients with aneurysmal subarachnoid hemorrhage. Clinica Chimica Acta. 475. 64–69. 29 indexed citations
11.
Yu, Wenhua, Xiao‐Qiao Dong, Qiang Zhu, et al.. (2016). Predictive value of plasma copeptin for acute traumatic progressive hemorrhagic brain injury. 9(3). 169–173. 1 indexed citations
12.
Lǐ, Jiànróng, Wenhua Yu, Xiao‐Qiao Dong, et al.. (2016). The prognostic value of plasma nesfatin-1 concentrations in patients with traumatic brain injury. Clinica Chimica Acta. 458. 124–128. 9 indexed citations
13.
Shen, Yong-Feng, Wenhua Yu, Xiao‐Qiao Dong, et al.. (2016). The change of plasma galectin-3 concentrations after traumatic brain injury. Clinica Chimica Acta. 456. 75–80. 34 indexed citations
14.
Shen, Yong-Feng, Wenhong Wang, Wenhua Yu, et al.. (2015). The prognostic value of plasma thrombospondin-1 concentrations after aneurysmal subarachnoid hemorrhage. Clinica Chimica Acta. 448. 155–160. 20 indexed citations
15.
Gu, Qiao, et al.. (2015). Percutaneous balloon compression for primary trigeminal neuralgia in patients older than 80 years. Chinese Neurosurgical Journal. 1(1). 4 indexed citations
16.
Yu, Wenhua, Wenhong Wang, Xiao‐Qiao Dong, et al.. (2014). Prognostic significance of plasma copeptin detection compared with multiple biomarkers in intracerebral hemorrhage. Clinica Chimica Acta. 433. 174–178. 32 indexed citations
17.
Yang, Ding-Bo, Wenhua Yu, Xiao‐Qiao Dong, et al.. (2014). Plasma copeptin level predicts acute traumatic coagulopathy and progressive hemorrhagic injury after traumatic brain injury. Peptides. 58. 26–29. 20 indexed citations
18.
Du, Quan, Wenhua Yu, Xiao‐Qiao Dong, et al.. (2014). Plasma 8-iso-Prostaglandin F2α concentrations and outcomes after acute intracerebral hemorrhage. Clinica Chimica Acta. 437. 141–146. 19 indexed citations
19.
Zhang, Zu-Yong, Lixin Zhang, Xiao‐Qiao Dong, et al.. (2014). Comparison of the performances of copeptin and multiple biomarkers in long-term prognosis of severe traumatic brain injury. Peptides. 60. 13–17. 46 indexed citations
20.
Du, Quan, Ding-Bo Yang, Yong-Feng Shen, et al.. (2013). Plasma leptin level predicts hematoma growth and early neurological deterioration after acute intracerebral hemorrhage. Peptides. 45. 35–39. 30 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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