Thierry Marysael

919 total citations · 1 hit paper
5 papers, 719 citations indexed

About

Thierry Marysael is a scholar working on Biomedical Engineering, Oncology and Molecular Biology. According to data from OpenAlex, Thierry Marysael has authored 5 papers receiving a total of 719 indexed citations (citations by other indexed papers that have themselves been cited), including 4 papers in Biomedical Engineering, 2 papers in Oncology and 1 paper in Molecular Biology. Recurrent topics in Thierry Marysael's work include Nanoplatforms for cancer theranostics (4 papers), Lung Cancer Research Studies (2 papers) and Cancer therapeutics and mechanisms (1 paper). Thierry Marysael is often cited by papers focused on Nanoplatforms for cancer theranostics (4 papers), Lung Cancer Research Studies (2 papers) and Cancer therapeutics and mechanisms (1 paper). Thierry Marysael collaborates with scholars based in Belgium, United States and Poland. Thierry Marysael's co-authors include Peter de Witte, Jakub Gołąb, Anton Roebroek, Peter Vandenabeele, Abhishek D. Garg, Agnieszka Kaczmarek, Dmitri V. Krysko, Chantal Mathieu, Tom Verfaillie and Gabriela B. Ferreira and has published in prestigious journals such as The EMBO Journal, International Journal of Cancer and Journal of Cancer Research and Clinical Oncology.

In The Last Decade

Thierry Marysael

5 papers receiving 715 citations

Hit Papers

align trajectories sort by overperformance

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.

A novel pathway combining calreticulin exposure and ATP secretion in immunogenic cancer cell death

2012 651 citations Abhishek D. Garg, Dmitri V. Krysko et al. The EMBO Journal profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Thierry Marysael Belgium	4	360	226	220	207	152	5	719
Aleksandra M. Dudek Netherlands	11	551 1.5×	224 1.0×	299 1.4×	357 1.7×	145 1.0×	18	1.0k
Ann‐Charlotte Björklund Sweden	7	438 1.2×	113 0.5×	252 1.1×	268 1.3×	61 0.4×	12	791
Nicole Rufo Belgium	9	309 0.9×	115 0.5×	233 1.1×	188 0.9×	52 0.3×	10	615
Michael Durchschlag Austria	7	670 1.9×	146 0.6×	366 1.7×	365 1.8×	72 0.5×	7	1.1k
Ge Zhu China	14	187 0.5×	155 0.7×	173 0.8×	388 1.9×	66 0.4×	34	766
Roopa Srinivasan United States	11	771 2.1×	64 0.3×	399 1.8×	384 1.9×	58 0.4×	17	1.0k
Israel Cañadas United States	9	201 0.6×	109 0.5×	159 0.7×	389 1.9×	70 0.5×	16	722
Tsolère Arakelian Netherlands	9	292 0.8×	62 0.3×	225 1.0×	272 1.3×	50 0.3×	10	643
Jun Gui China	15	394 1.1×	65 0.3×	281 1.3×	240 1.2×	52 0.3×	23	784
Samuel S.K. Lam United States	11	280 0.8×	134 0.6×	151 0.7×	136 0.7×	73 0.5×	17	502

Countries citing papers authored by Thierry Marysael

Since Specialization

Citations

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

Fields of papers citing papers by Thierry Marysael

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Thierry Marysael

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

All Works

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5 of 5 papers shown

1.

Garg, Abhishek D., Dmitri V. Krysko, Tom Verfaillie, et al.. (2012). A novel pathway combining calreticulin exposure and ATP secretion in immunogenic cancer cell death. The EMBO Journal. 31(5). 1062–1079. 651 indexed citations breakdown →

2.

Marysael, Thierry, Yicheng Ni, Evelyne Lerut, & Peter de Witte. (2011). Influence of the vascular damaging agents DMXAA and ZD6126 on hypericin distribution and accumulation in RIF-1 tumors. Journal of Cancer Research and Clinical Oncology. 137(11). 1619–1627. 13 indexed citations

3.

Marysael, Thierry, Matthias Bauwens, Yicheng Ni, et al.. (2011). Pretargeting of necrotic tumors with biotinylated hypericin using 123I-labeled avidin: evaluation of a two-step strategy. Investigational New Drugs. 30(6). 2132–2140. 14 indexed citations

4.

Marysael, Thierry, Humphrey Fonge, Tania Roskams, et al.. (2011). Radiolabeled iodohypericin as tumor necrosis avid tracer: diagnostic and therapeutic potential. International Journal of Cancer. 131(2). E129–37. 40 indexed citations

5.

Ni, Yicheng, Junjie Li, Marlein Miranda Cona, et al.. (2009). Exploitation of Necrosis Avidity: from Diagnostics to Theragnostics in Oncology. 99–101. 1 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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