Julien Hanson

3.8k total citations · 1 hit paper
63 papers, 2.3k citations indexed

About

Julien Hanson is a scholar working on Molecular Biology, Cardiology and Cardiovascular Medicine and Pharmacology. According to data from OpenAlex, Julien Hanson has authored 63 papers receiving a total of 2.3k indexed citations (citations by other indexed papers that have themselves been cited), including 30 papers in Molecular Biology, 16 papers in Cardiology and Cardiovascular Medicine and 14 papers in Pharmacology. Recurrent topics in Julien Hanson's work include Receptor Mechanisms and Signaling (24 papers), Inflammatory mediators and NSAID effects (14 papers) and Neuropeptides and Animal Physiology (10 papers). Julien Hanson is often cited by papers focused on Receptor Mechanisms and Signaling (24 papers), Inflammatory mediators and NSAID effects (14 papers) and Neuropeptides and Animal Physiology (10 papers). Julien Hanson collaborates with scholars based in Belgium, Germany and United States. Julien Hanson's co-authors include Stefan Offermanns, Bernard Pirotte, Sorin Tunaru, Andreas Gille, Nadine Dupuis, Kashan Ahmed, Jean‐Michel Dogné, Domenico Praticò, Cong Tang and Antonia Sassmann and has published in prestigious journals such as Journal of Biological Chemistry, Journal of Clinical Investigation and Nature Communications.

In The Last Decade

Julien Hanson

63 papers receiving 2.2k 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.

Formation, Signaling and Occurrence of Specialized Pro-Resolving Lipid Mediators—What is the Evidence so far?

2022 118 citations Gerd Geißlinger, Julien Hanson et al. profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Julien Hanson Belgium	27	1.0k	410	366	313	282	63	2.3k
Yoichi Mizukami Japan	28	1.5k 1.4×	327 0.8×	262 0.7×	243 0.8×	154 0.5×	108	3.0k
Valérie Capra Italy	29	1.0k 1.0×	805 2.0×	396 1.1×	468 1.5×	370 1.3×	59	2.5k
Gerhard P. Püschel Germany	26	767 0.7×	474 1.2×	234 0.6×	163 0.5×	403 1.4×	70	2.0k
Dipanjan Chanda South Korea	28	1.3k 1.2×	411 1.0×	274 0.7×	121 0.4×	183 0.6×	41	2.4k
Pierre Hardy Canada	37	1.5k 1.5×	645 1.6×	375 1.0×	136 0.4×	337 1.2×	111	3.8k
Shivendra D. Shukla United States	31	1.4k 1.4×	373 0.9×	185 0.5×	164 0.5×	194 0.7×	80	2.7k
Jianfeng Xu United States	23	1.4k 1.4×	697 1.7×	509 1.4×	180 0.6×	119 0.4×	63	2.9k
Andrey Sorokin United States	35	2.0k 2.0×	477 1.2×	346 0.9×	181 0.6×	452 1.6×	94	3.5k
Manuela Bartoli United States	31	1.6k 1.5×	649 1.6×	511 1.4×	131 0.4×	128 0.5×	88	4.0k
Gen‐ichi Atsumi Japan	20	1.8k 1.8×	610 1.5×	364 1.0×	133 0.4×	499 1.8×	43	3.0k

Countries citing papers authored by Julien Hanson

Since Specialization

Citations

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

Fields of papers citing papers by Julien Hanson

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Julien Hanson

This figure shows the co-authorship network connecting the top 25 collaborators of Julien Hanson. A scholar is included among the top collaborators of Julien Hanson 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 Julien Hanson. Julien Hanson 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

Mazzatenta, Diego, Sofia Asioli, Giampaolo Trivellin, et al.. (2024). Case report: Management of pediatric gigantism caused by the TADopathy, X-linked acrogigantism. Frontiers in Endocrinology. 15. 1345363–1345363. 3 indexed citations

Inoue, Asuka, et al.. (2023). Basal interaction of the orphan receptor GPR101 with arrestins leads to constitutive internalization. Biochemical Pharmacology. 220. 116013–116013. 2 indexed citations

Roumain, Martin, et al.. (2021). β‐arrestin2 recruitment at the β2 adrenergic receptor: A luciferase complementation assay adapted for undergraduate training in pharmacology. Pharmacology Research & Perspectives. 9(1). e00706–e00706. 2 indexed citations

Hanson, Julien, et al.. (2021). Nanoluciferase-Based Complementation Assay to Detect GPCR-G Protein Interaction. Methods in molecular biology. 2268. 149–157. 3 indexed citations

Szpakowska, Martyna, et al.. (2018). Mutational analysis of the extracellular disulphide bridges of the atypical chemokine receptor ACKR3/CXCR7 uncovers multiple binding and activation modes for its chemokine and endogenous non-chemokine agonists. Biochemical Pharmacology. 153. 299–309. 28 indexed citations

Dupuis, Nadine, et al.. (2018). The G protein-coupled receptors deorphanization landscape. Biochemical Pharmacology. 153. 62–74. 79 indexed citations

Jouret, François, et al.. (2016). Insight into SUCNR1 (GPR91) structure and function. Pharmacology & Therapeutics. 159. 56–65. 115 indexed citations

Szpakowska, Martyna, Nadine Dupuis, Alessandra Baragli, et al.. (2016). Human herpesvirus 8-encoded chemokine vCCL2/vMIP-II is an agonist of the atypical chemokine receptor ACKR3/CXCR7. Biochemical Pharmacology. 114. 14–21. 34 indexed citations

Hanson, Julien, Nerea Ferreirós, Bernard Pirotte, Gerd Geißlinger, & Stefan Offermanns. (2013). Heterologously expressed formyl peptide receptor 2 (FPR2/ALX) does not respond to lipoxin A4. Biochemical Pharmacology. 85(12). 1795–1802. 39 indexed citations

10.

Hanson, Julien, Andreas Gille, Martina Lukasova, et al.. (2010). Nicotinic acid– and monomethyl fumarate–induced flushing involves GPR109A expressed by keratinocytes and COX-2–dependent prostanoid formation in mice. Journal of Clinical Investigation. 120(8). 2910–2919. 165 indexed citations

11.

Ahmed, Kashan, Sorin Tunaru, Cong Tang, et al.. (2010). An Autocrine Lactate Loop Mediates Insulin-Dependent Inhibition of Lipolysis through GPR81. Cell Metabolism. 11(4). 311–319. 325 indexed citations

12.

Rolin, Stéphanie, et al.. (2007). BM-520, an original TXA2 modulator, inhibits the action of thromboxane A2 and 8-iso-prostaglandin F2α in vitro and in vivo on human and rodent platelets, and aortic vascular smooth muscles from rodents. Prostaglandins & Other Lipid Mediators. 84(1-2). 14–23. 8 indexed citations

13.

Kolh, Philippe, Stéphanie Rolin, Vincent Tchana‐Sato, et al.. (2005). Evaluation of BM-573, a novel TXA2 synthase inhibitor and receptor antagonist, in a porcine model of myocardial ischemia-reperfusion. Prostaglandins & Other Lipid Mediators. 79(1-2). 53–73. 4 indexed citations

14.

Tchana‐Sato, Vincent, Jean‐Michel Dogné, Bernard Lambermont, et al.. (2005). Effects of BM-573, a thromboxane A2 modulator on systemic hemodynamics perturbations induced by U-46619 in the pig. Prostaglandins & Other Lipid Mediators. 78(1-4). 82–95. 3 indexed citations

15.

Hanson, Julien, Stéphanie Rolin, Dénis Reynaud, et al.. (2005). In Vitro and in Vivo Pharmacological Characterization of BM-613 [N-n-Pentyl-N′-[2-(4′-methylphenylamino)-5-nitrobenzenesulfonyl]urea], a Novel Dual Thromboxane Synthase Inhibitor and Thromboxane Receptor Antagonist. Journal of Pharmacology and Experimental Therapeutics. 313(1). 293–301. 11 indexed citations

16.

Dogné, Jean‐Michel, Xavier de Leval, Julien Hanson, et al.. (2004). New Developments on Thromboxane and Prostacyclin Modulators Part I: Thromboxane Modulators. Current Medicinal Chemistry. 11(10). 1223–1241. 68 indexed citations

17.

Rolin, Stéphanie, et al.. (2004). Pharmacological evaluation of both enantiomers of (R,S)-BM-591 as thromboxane A2 receptor antagonists and thromboxane synthase inhibitors. Prostaglandins & Other Lipid Mediators. 74(1-4). 75–86. 1 indexed citations

18.

Dogné, Jean‐Michel, Julien Hanson, Xavier de Leval, et al.. (2004). New Developments on Thromboxane Modulators. Mini-Reviews in Medicinal Chemistry. 4(6). 649–657. 11 indexed citations

19.

Ghuysen, Alexandre, Bernard Lambermont, Jean‐Michel Dogné, et al.. (2004). Effect of BM-573 [N-Terbutyl-N′-[2-(4′-methylphenylamino)-5-nitro-benzenesulfonyl]urea], a Dual Thromboxane Synthase Inhibitor and Thromboxane Receptor Antagonist, in a Porcine Model of Acute Pulmonary Embolism. Journal of Pharmacology and Experimental Therapeutics. 310(3). 964–972. 21 indexed citations

20.

Dogné, Jean‐Michel, Julien Hanson, Xavier de Leval, et al.. (2004). Pharmacological Characterization of N-tert-Butyl-N′-[2-(4′-methylphenylamino)-5-nitrobenzenesulfonyl]urea (BM-573), a Novel Thromboxane A2 Receptor Antagonist and Thromboxane Synthase Inhibitor in a Rat Model of Arterial Thrombosis and Its Effects on Bleeding Time. Journal of Pharmacology and Experimental Therapeutics. 309(2). 498–505. 24 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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