Ben Buller

2.2k total citations · 2 hit papers
9 papers, 1.8k citations indexed

About

Ben Buller is a scholar working on Molecular Biology, Cancer Research and Developmental Neuroscience. According to data from OpenAlex, Ben Buller has authored 9 papers receiving a total of 1.8k indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Molecular Biology, 5 papers in Cancer Research and 4 papers in Developmental Neuroscience. Recurrent topics in Ben Buller's work include MicroRNA in disease regulation (4 papers), Neurogenesis and neuroplasticity mechanisms (4 papers) and Extracellular vesicles in disease (3 papers). Ben Buller is often cited by papers focused on MicroRNA in disease regulation (4 papers), Neurogenesis and neuroplasticity mechanisms (4 papers) and Extracellular vesicles in disease (3 papers). Ben Buller collaborates with scholars based in United States and China. Ben Buller's co-authors include Michael Chopp, Mark Katakowski, Zheng Gang Zhang, Yi Li, Hongqi Xin, Yi Zhang, Xia Shang, Xiaodong Wang, Yong Lü and Xuguang Zheng and has published in prestigious journals such as Journal of Biological Chemistry, Stroke and Journal of Cerebral Blood Flow & Metabolism.

In The Last Decade

Ben Buller

9 papers receiving 1.8k citations

Hit Papers

align trajectories

What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

Exosome-Mediated Transfer of miR-133b from Multipotent Mesenchymal Stromal Cells to Neural Cells Contributes to Neurite Outgrowth

2012 719 citations Hongqi Xin, Yi Li et al. Stem Cells profile →
Exosomes from marrow stromal cells expressing miR-146b inhibit glioma growth

2013 611 citations Mark Katakowski, Ben Buller et al. Cancer Letters profile →

Peers

Ben Buller

MB

CR

GENET

NEURO

DN

Xinli Wang China

Charles G. diPierro United States

Jadranka Macas Germany

Ben Mead United Kingdom

Sylwia Dabrowska Poland

Claudio Maderna Italy

Masumi Nagano Japan

Andreas Junker Germany

Zunyi Zhang China

Katharina Haigh Belgium

Xinli Wang China

Ben Buller

886 ×0.6

MB

672 ×0.6

CR

187 ×0.7

GENET

115 ×0.8

NEURO

107 ×0.9

DN

Citations per year, relative to Ben Buller Ben Buller (= 1×) peers Xinli Wang

Countries citing papers authored by Ben Buller

Since Specialization

Citations

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

Fields of papers citing papers by Ben Buller

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Ben Buller

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

All Works

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9 of 9 papers shown

1.

Katakowski, Mark, Ben Buller, Xuguang Zheng, et al.. (2013). Exosomes from marrow stromal cells expressing miR-146b inhibit glioma growth. Cancer Letters. 335(1). 201–204. 611 indexed citations breakdown →

2.

Yan, Tao, Michael Chopp, Xinchun Ye, et al.. (2012). Niaspan increases axonal remodeling after stroke in type 1 diabetes rats. Neurobiology of Disease. 46(1). 157–164. 42 indexed citations

3.

Xin, Hongqi, Yi Li, Ben Buller, et al.. (2012). Exosome-Mediated Transfer of miR-133b from Multipotent Mesenchymal Stromal Cells to Neural Cells Contributes to Neurite Outgrowth. Stem Cells. 30(7). 1556–1564. 719 indexed citations breakdown →

4.

Santra, Manoranjan, et al.. (2011). Effect of doublecortin on self‐renewal and differentiation in brain tumor stem cells. Cancer Science. 102(7). 1350–1357. 21 indexed citations

5.

Buller, Ben, Xianshuang Liu, Xinli Wang, et al.. (2010). MicroRNA‐21 protects neurons from ischemic death. FEBS Journal. 277(20). 4299–4307. 201 indexed citations

6.

Zhang, Li, Zheng Gang Zhang, Ben Buller, et al.. (2010). Combination Treatment With VELCADE and Low-Dose Tissue Plasminogen Activator Provides Potent Neuroprotection in Aged Rats After Embolic Focal Ischemia. Stroke. 41(5). 1001–1007. 43 indexed citations

7.

Liu, Xian Shuang, Michael Chopp, Rui Lan Zhang, et al.. (2009). Angiopoietin 2 Mediates the Differentiation and Migration of Neural Progenitor Cells in the Subventricular Zone after Stroke. Journal of Biological Chemistry. 284(34). 22680–22689. 78 indexed citations

8.

Zhang, Jing, Yi Li, Zheng Gang Zhang, et al.. (2009). Bone Marrow Stromal Cells Increase Oligodendrogenesis after Stroke. Journal of Cerebral Blood Flow & Metabolism. 29(6). 1166–1174. 42 indexed citations

9.

Liu, Xian Shuang, Michael Chopp, Rui Lan Zhang, et al.. (2008). Gene Profiles and Electrophysiology of Doublecortin-Expressing Cells in the Subventricular Zone after Ischemic Stroke. Journal of Cerebral Blood Flow & Metabolism. 29(2). 297–307. 20 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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