Benoit Lehallier

10.6k total citations · 2 hit papers
26 papers, 2.2k citations indexed

About

Benoit Lehallier is a scholar working on Molecular Biology, Neurology and Physiology. According to data from OpenAlex, Benoit Lehallier has authored 26 papers receiving a total of 2.2k indexed citations (citations by other indexed papers that have themselves been cited), including 11 papers in Molecular Biology, 9 papers in Neurology and 7 papers in Physiology. Recurrent topics in Benoit Lehallier's work include Neuroinflammation and Neurodegeneration Mechanisms (8 papers), Alzheimer's disease research and treatments (5 papers) and Advanced Proteomics Techniques and Applications (4 papers). Benoit Lehallier is often cited by papers focused on Neuroinflammation and Neurodegeneration Mechanisms (8 papers), Alzheimer's disease research and treatments (5 papers) and Advanced Proteomics Techniques and Applications (4 papers). Benoit Lehallier collaborates with scholars based in United States, Germany and Denmark. Benoit Lehallier's co-authors include Tony Wyss‐Coray, Song Eun Lee, Vidhu Mathur, Macy E. Zardeneta, Hanadie Yousef, Oliver Hãhn, Adiv A. Johnson, Maxim N. Shokhirev, Nicholas Schaum and Carolyn R. Bertozzi and has published in prestigious journals such as Cell, Journal of the American Chemical Society and Nature Medicine.

In The Last Decade

Benoit Lehallier

24 papers receiving 2.2k citations

Hit Papers

Lipid-droplet-accumulating microglia represent a dysfunct... 2019 2026 2021 2023 2020 2019 250 500 750

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Benoit Lehallier United States 15 880 744 642 478 165 26 2.2k
Julie E. Simpson United Kingdom 34 1.1k 1.3× 1.7k 2.3× 1.3k 2.0× 677 1.4× 60 0.4× 78 4.2k
Mike A. Nalls United States 31 1.6k 1.8× 792 1.1× 969 1.5× 130 0.3× 62 0.4× 80 4.3k
Suman Jayadev United States 28 1.4k 1.6× 591 0.8× 773 1.2× 260 0.5× 28 0.2× 86 2.6k
Qingyu Shen China 19 1.0k 1.2× 621 0.8× 382 0.6× 327 0.7× 31 0.2× 54 2.2k
Pentti J. Tienari Finland 37 1.9k 2.2× 642 0.9× 1.7k 2.6× 764 1.6× 36 0.2× 143 5.5k
Elizabeth Wheatley United States 10 718 0.8× 431 0.6× 461 0.7× 198 0.4× 172 1.0× 16 1.6k
Zachary Madaj United States 25 956 1.1× 332 0.4× 428 0.7× 137 0.3× 90 0.5× 54 2.4k
Jonathan A. Prince Sweden 34 1.3k 1.5× 202 0.3× 1.1k 1.8× 200 0.4× 43 0.3× 77 3.1k
Cinzia Mallozzi Italy 22 1.1k 1.3× 186 0.3× 733 1.1× 193 0.4× 54 0.3× 50 2.0k
Christina M. Lill Germany 28 1.0k 1.2× 406 0.5× 867 1.4× 118 0.2× 36 0.2× 63 2.7k

Countries citing papers authored by Benoit Lehallier

Since Specialization
Citations

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

Fields of papers citing papers by Benoit Lehallier

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Benoit Lehallier

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

All Works

20 of 20 papers shown
1.
Watson, Kathleen, Jennifer Keller, Heather Pankow, et al.. (2024). Proteomic profiles of cytokines and chemokines in moderate to severe depression: Implications for comorbidities and biomarker discovery. Brain Behavior & Immunity - Health. 36. 100731–100731.
2.
Beaudin, Marie, Katharine A. Hagerman, Sally Dunaway Young, et al.. (2023). Cerebrospinal Fluid Proteomic Changes after Nusinersen in Patients with Spinal Muscular Atrophy. Journal of Clinical Medicine. 12(20). 6696–6696. 5 indexed citations
3.
Lehallier, Benoit, et al.. (2023). Markers of aging: Unsupervised integrated analyses of the human plasma proteome. SHILAP Revista de lepidopterología. 4. 1112109–1112109. 16 indexed citations
4.
Bravo, Isabel, Merçé Boada, Oscar L. López, et al.. (2023). Modulation of inflammatory regulation by plasma exchange with albumin replacement revealed by deep plasma and CSF proteomic profiling of the AMBAR study. Alzheimer s & Dementia. 19(S21). 1 indexed citations
5.
Hãhn, Oliver, Patricia Moran‐Losada, Ian H. Guldner, et al.. (2023). Atlas of the aging mouse brain reveals white matter as vulnerable foci. Cell. 186(19). 4117–4133.e22. 88 indexed citations
6.
Nánási, Tibor, et al.. (2022). Deep plasma proteomics reveal age‐related molecular pathways modulated by GRF6019 treatment in Alzheimer’s disease patients. Alzheimer s & Dementia. 18(S5). 1 indexed citations
7.
Kaeser, Stephan A., Benoit Lehallier, Mikael Thinggaard, et al.. (2021). A neuronal blood marker is associated with mortality in old age. Nature Aging. 1(2). 218–225. 33 indexed citations
8.
Oh, Hamilton, Olivia Leventhal, Divya Channappa, et al.. (2021). Methods to investigate intrathecal adaptive immunity in neurodegeneration. Molecular Neurodegeneration. 16(1). 3–3. 11 indexed citations
9.
Kaeser, Stephan A., Benoit Lehallier, Lisa M. Häsler, et al.. (2021). A neuronal blood marker is associated with mortality in old age. Zenodo (CERN European Organization for Nuclear Research).
10.
Johnson, Adiv A., Maxim N. Shokhirev, & Benoit Lehallier. (2021). The protein inputs of an ultra-predictive aging clock represent viable anti-aging drug targets. Ageing Research Reviews. 70. 101404–101404. 18 indexed citations
11.
Johnson, Adiv A., Maxim N. Shokhirev, Tony Wyss‐Coray, & Benoit Lehallier. (2020). Systematic review and analysis of human proteomics aging studies unveils a novel proteomic aging clock and identifies key processes that change with age. Ageing Research Reviews. 60. 101070–101070. 104 indexed citations
12.
Chen, Michelle B., Andrew C. Yang, Hanadie Yousef, et al.. (2020). Brain Endothelial Cells Are Exquisite Sensors of Age-Related Circulatory Cues. Cell Reports. 30(13). 4418–4432.e4. 140 indexed citations
13.
Marschallinger, Julia, Tal Iram, Macy E. Zardeneta, et al.. (2020). Lipid-droplet-accumulating microglia represent a dysfunctional and proinflammatory state in the aging brain. Nature Neuroscience. 23(2). 194–208. 793 indexed citations breakdown →
14.
Lehallier, Benoit, David Gate, Nicholas Schaum, et al.. (2020). Undulating changes in human plasma proteome profiles across the lifespan are linked to disease. Alzheimer s & Dementia. 16(S5). 1 indexed citations
15.
Lehallier, Benoit, David Gate, Nicholas Schaum, et al.. (2019). Undulating changes in human plasma proteome profiles across the lifespan. Nature Medicine. 25(12). 1843–1850. 492 indexed citations breakdown →
16.
Gate, David, Naresha Saligrama, Andrew C. Yang, et al.. (2019). O4‐09‐06: CLONALLY EXPANDED CD8 T CELLS PATROL ALZHEIMER'S CEREBROSPINAL FLUID. Alzheimer s & Dementia. 15(7S_Part_24). 2 indexed citations
17.
Ashinsky, Beth G., Mustapha Bouhrara, Christopher Coletta, et al.. (2017). Predicting early symptomatic osteoarthritis in the human knee using machine learning classification of magnetic resonance images from the osteoarthritis initiative. Journal of Orthopaedic Research®. 35(10). 2243–2250. 80 indexed citations
18.
Mathur, Vidhu, Ritwik Burai, Ryan T. Vest, et al.. (2017). Activation of the STING-Dependent Type I Interferon Response Reduces Microglial Reactivity and Neuroinflammation. Neuron. 96(6). 1290–1302.e6. 129 indexed citations
19.
Aghaeepour, Nima, Benoit Lehallier, Quentin Baca, et al.. (2017). A proteomic clock of human pregnancy. American Journal of Obstetrics and Gynecology. 218(3). 347.e1–347.e14. 68 indexed citations
20.
Middeldorp, Jinte, Benoit Lehallier, Saul Villeda, et al.. (2016). Preclinical Assessment of Young Blood Plasma for Alzheimer Disease. JAMA Neurology. 73(11). 1325–1325. 114 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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