Thomas S. van Solinge

623 total citations · 1 hit paper
13 papers, 403 citations indexed

About

Thomas S. van Solinge is a scholar working on Molecular Biology, Cancer Research and Biomedical Engineering. According to data from OpenAlex, Thomas S. van Solinge has authored 13 papers receiving a total of 403 indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Molecular Biology, 5 papers in Cancer Research and 4 papers in Biomedical Engineering. Recurrent topics in Thomas S. van Solinge's work include Extracellular vesicles in disease (8 papers), MicroRNA in disease regulation (5 papers) and RNA Interference and Gene Delivery (4 papers). Thomas S. van Solinge is often cited by papers focused on Extracellular vesicles in disease (8 papers), MicroRNA in disease regulation (5 papers) and RNA Interference and Gene Delivery (4 papers). Thomas S. van Solinge collaborates with scholars based in Netherlands, United States and Italy. Thomas S. van Solinge's co-authors include Marike L. D. Broekman, Lisa Nieland, E. Antonio Chiocca, Leonora Balaj, Erik R. Abels, Rodosthenis S. Rodosthenous, Sophie A. Dusoswa, Alessandra Gurtner, Olivia Ziegler and Zhiyun Wei and has published in prestigious journals such as SHILAP Revista de lepidopterología, International Journal of Molecular Sciences and Molecular Therapy.

In The Last Decade

Thomas S. van Solinge

13 papers receiving 397 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.

Advances in local therapy for glioblastoma — taking the fight to the tumour

2022 207 citations Thomas S. van Solinge, Lisa Nieland 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
Thomas S. van Solinge Netherlands	10	206	136	95	92	46	13	403
Lisa Nieland United States	7	309 1.5×	203 1.5×	116 1.2×	119 1.3×	45 1.0×	12	535
Alja Zottel Slovenia	13	243 1.2×	127 0.9×	112 1.2×	84 0.9×	51 1.1×	20	410
Marie Allen United States	3	166 0.8×	104 0.8×	61 0.6×	118 1.3×	27 0.6×	8	390
Narasimha Kumar Karanam United States	8	158 0.8×	85 0.6×	108 1.1×	135 1.5×	66 1.4×	19	395
Kok‐Siong Chen United States	12	211 1.0×	66 0.5×	48 0.5×	63 0.7×	39 0.8×	21	398
Denise Herpai United States	10	146 0.7×	73 0.5×	47 0.5×	74 0.8×	28 0.6×	21	318
Mia Bjerke Sweden	4	247 1.2×	104 0.8×	61 0.6×	126 1.4×	23 0.5×	9	419
Yuanfan Yang United States	10	337 1.6×	109 0.8×	103 1.1×	49 0.5×	28 0.6×	22	584
Florian Murke Germany	10	432 2.1×	183 1.3×	101 1.1×	59 0.6×	21 0.5×	11	640
Emily J. Girard United States	11	249 1.2×	66 0.5×	39 0.4×	70 0.8×	43 0.9×	24	406

Countries citing papers authored by Thomas S. van Solinge

Since Specialization

Citations

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

Fields of papers citing papers by Thomas S. van Solinge

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Thomas S. van Solinge. 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 Thomas S. van Solinge. The network helps show where Thomas S. van Solinge may publish in the future.

Co-authorship network of co-authors of Thomas S. van Solinge

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

All Works

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13 of 13 papers shown

Abels, Erik R., et al.. (2024). Overcoming Barriers in Glioblastoma—Advances in Drug Delivery Strategies. Cells. 13(12). 998–998. 14 indexed citations

Solinge, Thomas S. van, Kristina Pagh Friis, Killian P. O’Brien, et al.. (2023). Heparin interferes with the uptake of liposomes in glioma. International Journal of Pharmaceutics X. 6. 100191–100191. 3 indexed citations

Solinge, Thomas S. van, Shadi Mahjoum, Stefano Ughetto, et al.. (2023). Illuminating cellular and extracellular vesicle-mediated communication via a split-Nanoluc reporter in vitro and in vivo. Cell Reports Methods. 3(2). 100412–100412. 5 indexed citations

Rufino‐Ramos, David, Kevin Leandro, Killian P. O’Brien, et al.. (2023). Extracellular communication between brain cells through functional transfer of Cre mRNA mediated by extracellular vesicles. Molecular Therapy. 31(7). 2220–2239. 12 indexed citations

Solinge, Thomas S. van, Lisa Nieland, E. Antonio Chiocca, & Marike L. D. Broekman. (2022). Advances in local therapy for glioblastoma — taking the fight to the tumour. Nature Reviews Neurology. 18(4). 221–236. 207 indexed citations breakdown →

Nieland, Lisa, Thomas S. van Solinge, Pike-See Cheah, et al.. (2022). CRISPR-Cas knockout of miR21 reduces glioma growth. Molecular Therapy — Oncolytics. 25. 121–136. 22 indexed citations

Mahjoum, Shadi, David Rufino‐Ramos, Luís Pereira de Almeida, et al.. (2021). Living Proof of Activity of Extracellular Vesicles in the Central Nervous System. International Journal of Molecular Sciences. 22(14). 7294–7294. 9 indexed citations

Maas, Sybren L. N., Thomas S. van Solinge, Rosalie Schnoor, et al.. (2021). Orally administered 5-aminolevulinic acid for isolation and characterization of circulating tumor-derived extracellular vesicles in glioblastoma patients. SHILAP Revista de lepidopterología. 1. 100475–100475. 1 indexed citations

Maas, Sybren L. N., Thomas S. van Solinge, Rosalie Schnoor, et al.. (2020). Orally Administered 5-aminolevulinic Acid for Isolation and Characterization of Circulating Tumor-Derived Extracellular Vesicles in Glioblastoma Patients. Cancers. 12(11). 3297–3297. 15 indexed citations

10.

Solinge, Thomas S. van, Erik R. Abels, Killian S. Hanlon, et al.. (2020). Versatile Role of Rab27a in Glioma: Effects on Release of Extracellular Vesicles, Cell Viability, and Tumor Progression. Frontiers in Molecular Biosciences. 7. 554649–554649. 10 indexed citations

11.

Solinge, Thomas S. van, Ivo S. Muskens, Vasileios K. Kavouridis, et al.. (2019). Fibrinolytics and Intraventricular Hemorrhage: A Systematic Review and Meta-analysis. Neurocritical Care. 32(1). 262–271. 20 indexed citations

12.

Cruz, Lilian, Alessandra Gurtner, Rodosthenis S. Rodosthenous, et al.. (2018). Extracellular RNAs: A New Awareness of Old Perspectives. Methods in molecular biology. 1740. 1–15. 73 indexed citations

13.

Solinge, Thomas S. van, Wendelien Zeijlemaker, Gert J. Ossenkoppele, Jacqueline Cloos, & Gerrit Jan Schuurhuis. (2017). The interference of genetic associations in establishing the prognostic value of the immunophenotype in acute myeloid leukemia. Cytometry Part B Clinical Cytometry. 94(1). 151–158. 12 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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