Jean-Charles Sanchez

13.9k total citations · 1 hit paper
14 papers, 9.0k citations indexed

About

Jean-Charles Sanchez is a scholar working on Molecular Biology, Epidemiology and Neurology. According to data from OpenAlex, Jean-Charles Sanchez has authored 14 papers receiving a total of 9.0k indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Molecular Biology, 6 papers in Epidemiology and 5 papers in Neurology. Recurrent topics in Jean-Charles Sanchez's work include Traumatic Brain Injury and Neurovascular Disturbances (5 papers), Extracellular vesicles in disease (4 papers) and Sepsis Diagnosis and Treatment (3 papers). Jean-Charles Sanchez is often cited by papers focused on Traumatic Brain Injury and Neurovascular Disturbances (5 papers), Extracellular vesicles in disease (4 papers) and Sepsis Diagnosis and Treatment (3 papers). Jean-Charles Sanchez collaborates with scholars based in Switzerland, Finland and United Kingdom. Jean-Charles Sanchez's co-authors include Natacha Turck, Xavier Robin, Natalia Tiberti, Frédérique Lisacek, Alexandre Hainard, Markus Müller, Bernabé Jurado Gámez, M. D. Luque de Castro, Feliciano Priego‐Capote and M. Calderón-Santiago and has published in prestigious journals such as Scientific Reports, Journal of Investigative Dermatology and BMC Bioinformatics.

In The Last Decade

Jean-Charles Sanchez

13 papers receiving 8.9k 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.

pROC: an open-source package for R and S+ to analyze and compare ROC curves

2011 8.8k citations Xavier Robin, Natacha Turck et al. BMC Bioinformatics profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Jean-Charles Sanchez Switzerland	8	2.5k	1.3k	1.2k	1.0k	885	14	9.0k
Natalia Tiberti Italy	17	2.6k 1.0×	1.2k 1.0×	1.4k 1.2×	1.0k 1.0×	900 1.0×	45	9.5k
Xavier Robin Switzerland	21	3.0k 1.2×	1.3k 1.0×	1.4k 1.2×	1.1k 1.1×	944 1.1×	35	9.8k
Alexandre Hainard Switzerland	19	3.1k 1.2×	1.3k 1.0×	1.5k 1.2×	1.1k 1.0×	920 1.0×	31	10.1k
Natacha Turck Switzerland	31	3.5k 1.4×	1.3k 1.1×	1.6k 1.3×	1.1k 1.1×	997 1.1×	53	11.1k
Frédérique Lisacek Switzerland	38	5.8k 2.3×	1.3k 1.0×	1.4k 1.1×	1.1k 1.1×	957 1.1×	142	13.4k
Liang‐In Lin Taiwan	39	2.7k 1.0×	753 0.6×	619 0.5×	657 0.6×	796 0.9×	154	12.1k
Markus Müller Switzerland	36	4.7k 1.8×	1.3k 1.1×	1.5k 1.2×	1.1k 1.1×	996 1.1×	122	12.7k
Chen Mao China	46	1.7k 0.7×	1.7k 1.3×	928 0.8×	742 0.7×	779 0.9×	389	8.7k
Jelle J. Goeman Netherlands	43	3.5k 1.4×	646 0.5×	1.3k 1.1×	785 0.8×	681 0.8×	180	9.8k
Knut Liestøl Norway	43	1.8k 0.7×	689 0.6×	956 0.8×	573 0.6×	549 0.6×	191	6.7k

Countries citing papers authored by Jean-Charles Sanchez

Since Specialization

Citations

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

Fields of papers citing papers by Jean-Charles Sanchez

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Jean-Charles Sanchez. 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 Jean-Charles Sanchez. The network helps show where Jean-Charles Sanchez may publish in the future.

Co-authorship network of co-authors of Jean-Charles Sanchez

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

All Works

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14 of 14 papers shown

Katila, Ari, Riikka Takala, Iftakher Hossain, et al.. (2025). Blood biomarkers to identify patients with different intracranial lesion combinations after traumatic brain injury. Brain and Spine. 5. 104195–104195.

Seiler, Michelle, Fabrizio Romano, Christian Korff, et al.. (2025). Evaluating NfL and NTproBNP as predictive biomarkers of intracranial injuries after mild traumatic brain injury in children presenting to emergency departments. Frontiers in Neurology. 16. 1518776–1518776. 1 indexed citations

Needham, Edward, John K. Yue, Adel Helmy, et al.. (2024). Parsimonious immune-response endotypes and global outcome in patients with traumatic brain injury. EBioMedicine. 108. 105310–105310. 4 indexed citations

García‐Silva, Susana, Daniel Enderle, Jean-Charles Sanchez, et al.. (2023). Improved Sensitivity in BRAFV600E Detection in Combined Tissue and Extracellular Vesicle-Based Liquid Biopsy in Melanoma. Journal of Investigative Dermatology. 143(8). 1606–1610. 3 indexed citations

Korhonen, O, Mehrbod Mohammadian, Olli Tenovuo, et al.. (2023). Outlier Analysis for Acute Blood Biomarkers of Moderate and Severe Traumatic Brain Injury. Journal of Neurotrauma. 41(1-2). 91–105. 11 indexed citations

Takala, Riikka, Olli Tenovuo, Virginia Newcombe, et al.. (2023). Trajectories of interleukin 10 and heart fatty acid-binding protein levels in traumatic brain injury patients with or without extracranial injuries. Frontiers in Neurology. 14. 1133764–1133764. 2 indexed citations

Gruaz, Lyssia, et al.. (2023). Depletion of abundant plasma proteins for extracellular vesicle proteome characterization: benefits and pitfalls. Analytical and Bioanalytical Chemistry. 415(16). 3177–3187. 9 indexed citations

Schvartz, Domitille, et al.. (2022). Oxidative Stress and Extracellular Matrix Remodeling Are Signature Pathways of Extracellular Vesicles Released upon Morphine Exposure on Human Brain Microvascular Endothelial Cells. Cells. 11(23). 3926–3926. 18 indexed citations

Sanchez, Jean-Charles, et al.. (2022). Neurovascular Unit-Derived Extracellular Vesicles: From Their Physiopathological Roles to Their Clinical Applications in Acute Brain Injuries. Biomedicines. 10(9). 2147–2147. 11 indexed citations

10.

Schvartz, Domitille, et al.. (2022). Morphine-induced modulation of Nrf2-antioxidant response element signaling pathway in primary human brain microvascular endothelial cells. Scientific Reports. 12(1). 4588–4588. 16 indexed citations

11.

Robin, Xavier, Natacha Turck, Alexandre Hainard, et al.. (2021). Display and Analyze ROC Curves [R package pROC version 1.18.0]. 6 indexed citations

12.

Calderón-Santiago, M., Feliciano Priego‐Capote, Natacha Turck, et al.. (2015). Human sweat metabolomics for lung cancer screening. Analytical and Bioanalytical Chemistry. 407(18). 5381–5392. 98 indexed citations

13.

Robin, Xavier, Natacha Turck, Alexandre Hainard, et al.. (2013). PanelomiX: A threshold-based algorithm to create panels of biomarkers. 1(1). 57–64. 30 indexed citations

14.

Robin, Xavier, Natacha Turck, Alexandre Hainard, et al.. (2011). pROC: an open-source package for R and S+ to analyze and compare ROC curves. BMC Bioinformatics. 12(1). 77–77. 8786 indexed citations breakdown →

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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