Benjamin Buller

3.0k total citations · 2 hit papers
28 papers, 2.4k citations indexed

About

Benjamin Buller is a scholar working on Molecular Biology, Developmental Neuroscience and Cancer Research. According to data from OpenAlex, Benjamin Buller has authored 28 papers receiving a total of 2.4k indexed citations (citations by other indexed papers that have themselves been cited), including 23 papers in Molecular Biology, 9 papers in Developmental Neuroscience and 9 papers in Cancer Research. Recurrent topics in Benjamin Buller's work include Extracellular vesicles in disease (18 papers), MicroRNA in disease regulation (9 papers) and Neurogenesis and neuroplasticity mechanisms (7 papers). Benjamin Buller is often cited by papers focused on Extracellular vesicles in disease (18 papers), MicroRNA in disease regulation (9 papers) and Neurogenesis and neuroplasticity mechanisms (7 papers). Benjamin Buller collaborates with scholars based in United States, China and Switzerland. Benjamin Buller's co-authors include Michael Chopp, Zheng Gang Zhang, Mark Katakowski, Fengjie Wang, Xianshuang Liu, Meser M. Ali, Hongqi Xin, Yi Zhang, Yuji Ueno and Yong Lü and has published in prestigious journals such as Journal of Neuroscience, Cancer Research and Stroke.

In The Last Decade

Benjamin Buller

28 papers receiving 2.4k 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.

MicroRNA-17–92 Cluster in Exosomes Enhance Neuroplasticity and Functional Recovery After Stroke in Rats

2017 450 citations Hongqi Xin, Mark Katakowski et al. Stroke profile →
Exosomes — beyond stem cells for restorative therapy in stroke and neurological injury

2019 425 citations Zheng Gang Zhang, Benjamin Buller et al. Nature Reviews Neurology profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Benjamin Buller United States	21	1.8k	1.1k	428	347	266	28	2.4k
María Gutiérrez‐Fernández Spain	24	864 0.5×	353 0.3×	652 1.5×	704 2.0×	343 1.3×	55	2.0k
Yuluo Rong China	20	1.6k 0.9×	699 0.7×	326 0.8×	302 0.9×	140 0.5×	29	2.3k
Fanxia Shen United States	29	1.1k 0.6×	425 0.4×	621 1.5×	392 1.1×	243 0.9×	56	2.9k
Hongqi Xin United States	19	3.6k 2.0×	2.2k 2.1×	646 1.5×	968 2.8×	362 1.4×	29	4.6k
Michael Vanlandewijck Sweden	19	1.6k 0.9×	398 0.4×	801 1.9×	160 0.5×	124 0.5×	35	3.0k
A Andrzejewska Poland	14	901 0.5×	328 0.3×	279 0.7×	804 2.3×	170 0.6×	41	1.9k
Elisabet Wallgard Sweden	7	2.0k 1.1×	421 0.4×	1.3k 3.2×	229 0.7×	144 0.5×	7	3.8k
Haipeng Xue United States	25	1.3k 0.7×	331 0.3×	250 0.6×	247 0.7×	489 1.8×	69	2.2k
Cindy T. J. van Velthoven United States	32	1.1k 0.6×	245 0.2×	295 0.7×	827 2.4×	498 1.9×	39	2.8k
Ping Lei China	18	1.3k 0.7×	728 0.7×	383 0.9×	79 0.2×	105 0.4×	23	1.9k

Countries citing papers authored by Benjamin Buller

Since Specialization

Citations

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

Fields of papers citing papers by Benjamin Buller

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Benjamin Buller

This figure shows the co-authorship network connecting the top 25 collaborators of Benjamin Buller. A scholar is included among the top collaborators of Benjamin 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 Benjamin Buller. Benjamin 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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20 of 20 papers shown

Verdoorn, Todd A., et al.. (2024). Improvement in edema and cognitive recovery after moderate traumatic brain injury with the neurosteroid prodrug NTS-104. Neurotherapeutics. 21(6). e00456–e00456. 1 indexed citations

Dwyer, Mary, Nevin Varghese, Tom J. Parry, et al.. (2023). NTS-105 decreased cell death and preserved long-term potentiation in an in vitro model of moderate traumatic brain injury. Experimental Neurology. 371. 114608–114608. 5 indexed citations

Calderazzo, Samantha, Diego de Alba, Monica A. Pessina, et al.. (2022). Neural recovery after cortical injury: Effects of MSC derived extracellular vesicles on motor circuit remodeling in rhesus monkeys. IBRO Neuroscience Reports. 13. 243–254. 7 indexed citations

Zhang, Jing, Benjamin Buller, Zheng Gang Zhang, et al.. (2021). Exosomes derived from bone marrow mesenchymal stromal cells promote remyelination and reduce neuroinflammation in the demyelinating central nervous system. Experimental Neurology. 347. 113895–113895. 131 indexed citations

Xin, Hongqi, Benjamin Buller, Yanfeng Li, et al.. (2020). MiR-17-92 enriched exosomes derived from multipotent mesenchymal stromal cells enhance axon-myelin remodeling and motor electrophysiological recovery after stroke. Journal of Cerebral Blood Flow & Metabolism. 41(5). 1131–1144. 105 indexed citations

Pessina, Monica A., Douglas L. Rosene, Zheng Gang Zhang, et al.. (2020). Extracellular vesicles derived from bone marrow mesenchymal stem cells enhance myelin maintenance after cortical injury in aged rhesus monkeys. Experimental Neurology. 337. 113540–113540. 31 indexed citations

Williams, Aaron M., Zhenyu Wu, Umar F. Bhatti, et al.. (2020). Early single-dose exosome treatment improves neurologic outcomes in a 7-day swine model of traumatic brain injury and hemorrhagic shock. The Journal of Trauma: Injury, Infection, and Critical Care. 89(2). 388–396. 37 indexed citations

Medalla, Maria, Samantha Calderazzo, Joseph Goodliffe, et al.. (2020). Treatment with Mesenchymal-Derived Extracellular Vesicles Reduces Injury-Related Pathology in Pyramidal Neurons of Monkey Perilesional Ventral Premotor Cortex. Journal of Neuroscience. 40(17). 3385–3407. 38 indexed citations

Williams, Aaron M., Gerald A. Higgins, Umar F. Bhatti, et al.. (2020). Early treatment with exosomes following traumatic brain injury and hemorrhagic shock in a swine model promotes transcriptional changes associated with neuroprotection. The Journal of Trauma: Injury, Infection, and Critical Care. 89(3). 536–543. 27 indexed citations

10.

Pessina, Monica A., Zheng Gang Zhang, Michael Chopp, et al.. (2019). Extracellular vesicles from mesenchymal stem cells reduce microglial-mediated neuroinflammation after cortical injury in aged Rhesus monkeys. GeroScience. 42(1). 1–17. 93 indexed citations

11.

Williams, Aaron M., Umar F. Bhatti, Ben E. Biesterveld, et al.. (2019). Early single-dose treatment with exosomes provides neuroprotection and improves blood-brain barrier integrity in swine model of traumatic brain injury and hemorrhagic shock. The Journal of Trauma: Injury, Infection, and Critical Care. 88(2). 207–218. 64 indexed citations

12.

Zhang, Zheng Gang, Benjamin Buller, & Michael Chopp. (2019). Exosomes — beyond stem cells for restorative therapy in stroke and neurological injury. Nature Reviews Neurology. 15(4). 193–203. 425 indexed citations breakdown →

13.

Xin, Hongqi, Liu Hon, Benjamin Buller, et al.. (2019). Abstract TMP36: miR-17-92 Cluster Enriched MSC Exosomes Promote Myelination and Axonal Extension Which Contribute to Increased Emg Conduction and Functional Recovery After Stroke in Rats. Stroke. 50(Suppl_1). 2 indexed citations

14.

Williams, Aaron M., Isabel S. Dennahy, Umar F. Bhatti, et al.. (2018). Mesenchymal Stem Cell-Derived Exosomes Provide Neuroprotection and Improve Long-Term Neurologic Outcomes in a Swine Model of Traumatic Brain Injury and Hemorrhagic Shock. Journal of Neurotrauma. 36(1). 54–60. 122 indexed citations

15.

Xin, Hongqi, Mark Katakowski, Fengjie Wang, et al.. (2017). MicroRNA-17–92 Cluster in Exosomes Enhance Neuroplasticity and Functional Recovery After Stroke in Rats. Stroke. 48(3). 747–753. 450 indexed citations breakdown →

16.

Zhang, Yi, Yuji Ueno, Xian Shuang Liu, et al.. (2013). The MicroRNA-17–92 Cluster Enhances Axonal Outgrowth in Embryonic Cortical Neurons. Journal of Neuroscience. 33(16). 6885–6894. 127 indexed citations

17.

Zheng, Xuguang, Michael Chopp, Yong Lü, Benjamin Buller, & Feng Jiang. (2012). MiR-15b and miR-152 reduce glioma cell invasion and angiogenesis via NRP-2 and MMP-3. Cancer Letters. 329(2). 146–154. 136 indexed citations

18.

Lü, Yong, Michael Chopp, Xuguang Zheng, et al.. (2012). MiR-145 reduces ADAM17 expression and inhibits in vitro migration and invasion of glioma cells. Oncology Reports. 29(1). 67–72. 54 indexed citations

19.

Buller, Benjamin, Michael Chopp, Yuji Ueno, et al.. (2012). Regulation of serum response factor by miRNA‐200 and miRNA‐9 modulates oligodendrocyte progenitor cell differentiation. Glia. 60(12). 1906–1914. 67 indexed citations

20.

Schuknecht, Bernhard, Philipp Huber, Benjamin Buller, & M. Nadjmi. (1992). Spinal Leptomeningeal Neoplastic Disease. European Neurology. 32(1). 11–16. 35 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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