Pascal Benkert

12.1k total citations · 8 hit papers
89 papers, 7.6k citations indexed

About

Pascal Benkert is a scholar working on Pathology and Forensic Medicine, Neurology and Molecular Biology. According to data from OpenAlex, Pascal Benkert has authored 89 papers receiving a total of 7.6k indexed citations (citations by other indexed papers that have themselves been cited), including 46 papers in Pathology and Forensic Medicine, 26 papers in Neurology and 25 papers in Molecular Biology. Recurrent topics in Pascal Benkert's work include Multiple Sclerosis Research Studies (44 papers), Amyotrophic Lateral Sclerosis Research (11 papers) and Skin and Cellular Biology Research (10 papers). Pascal Benkert is often cited by papers focused on Multiple Sclerosis Research Studies (44 papers), Amyotrophic Lateral Sclerosis Research (11 papers) and Skin and Cellular Biology Research (10 papers). Pascal Benkert collaborates with scholars based in Switzerland, Germany and United States. Pascal Benkert's co-authors include Torsten Schwede, Marco Biasini, Silvio C. E. Tosatto, Dietmar Schomburg, Jens Kühle, Florian Kiefer, James N. D. Battey, Konstantin Arnold, Lorenza Bordoli and David Leppert and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Nucleic Acids Research and Nature Communications.

In The Last Decade

Pascal Benkert

85 papers receiving 7.5k citations

Hit Papers

Toward the estimation of the absolute quality of individu... 2007 2026 2013 2019 2010 2008 2017 2007 2009 500 1000 1.5k

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Pascal Benkert Switzerland 27 3.5k 1.6k 1.2k 755 744 89 7.6k
Yang Yang China 49 4.2k 1.2× 523 0.3× 416 0.3× 415 0.5× 715 1.0× 439 9.4k
Mariko Saito Japan 50 3.8k 1.1× 615 0.4× 387 0.3× 716 0.9× 727 1.0× 383 8.7k
Dongchon Kang Japan 54 6.7k 1.9× 618 0.4× 394 0.3× 635 0.8× 550 0.7× 225 10.2k
Μ. Borgers Belgium 57 3.6k 1.0× 1.0k 0.6× 576 0.5× 1.1k 1.5× 503 0.7× 315 12.9k
Michael Gekle Germany 51 3.6k 1.0× 554 0.3× 300 0.2× 458 0.6× 878 1.2× 241 8.0k
Hiroyuki Nakayama Japan 47 4.5k 1.3× 625 0.4× 351 0.3× 632 0.8× 898 1.2× 400 10.9k
Li Wang China 61 9.5k 2.7× 1.2k 0.7× 344 0.3× 617 0.8× 2.2k 2.9× 717 15.3k
Shigeru Chiba Japan 59 6.8k 1.9× 1.2k 0.7× 678 0.6× 1.0k 1.3× 2.3k 3.1× 404 15.8k
Feng Jin China 39 3.9k 1.1× 469 0.3× 489 0.4× 853 1.1× 1.1k 1.5× 217 8.1k
Wei Li China 46 5.0k 1.4× 267 0.2× 494 0.4× 777 1.0× 750 1.0× 325 9.2k

Countries citing papers authored by Pascal Benkert

Since Specialization
Citations

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

Fields of papers citing papers by Pascal Benkert

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Pascal Benkert

This figure shows the co-authorship network connecting the top 25 collaborators of Pascal Benkert. A scholar is included among the top collaborators of Pascal Benkert 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 Pascal Benkert. Pascal Benkert 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.
Delaby, Constance, Elisa De La Cruz, Jens Kühle, et al.. (2025). Comparative Performances of 4 Serum NfL Assays, pTau181, and GFAP in Patients With Amyotrophic Lateral Sclerosis. Neurology. 104(6). e213400–e213400. 6 indexed citations
2.
Ocampo‐Pineda, Mario, Alessandro Cagol, Pascal Benkert, et al.. (2025). White Matter Tract Degeneration in Multiple Sclerosis Patients With Progression Independent of Relapse Activity. Neurology Neuroimmunology & Neuroinflammation. 12(3). e200388–e200388. 1 indexed citations
3.
Benkert, Pascal, Anthony Seibert, Thomas Grüter, et al.. (2025). Serum Neurofilament Light Chain as a Biomarker for CIDP Diagnosis, Severity, and Treatment Outcome. Neurology Neuroimmunology & Neuroinflammation. 12(4). e200419–e200419. 1 indexed citations
4.
Booth, Ronald A., Daniel R. Beriault, Raphaël Schneider, et al.. (2025). Validation and generation of age-specific reference intervals for a new blood neurofilament light chain assay. Clinica Chimica Acta. 577. 120447–120447. 2 indexed citations
5.
Kim, Su Hyun, Patrick Schindler, Ki Hoon Kim, et al.. (2024). Blood-Based Biomarkers for Identifying Disease Activity in AQP4-IgG–Positive Neuromyelitis Optica Spectrum Disorder. JAMA Neurology. 82(2). 168–168. 4 indexed citations
6.
Chalkou, Konstantina, Pascal Benkert, Jens Kühle, et al.. (2024). Combining randomized and non‐randomized data to predict heterogeneous effects of competing treatments. Research Synthesis Methods. 15(4). 641–656. 2 indexed citations
7.
Müller, Jannis, Izanne Roos, Tomáš Kalinčík, et al.. (2024). Escalating to medium‐ versus high‐efficacy disease modifying therapy after low‐efficacy treatment in relapsing remitting multiple sclerosis. Brain and Behavior. 14(5). e3498–e3498. 2 indexed citations
8.
Delaby, Constance, Elisa De La Cruz, Jens Kühle, et al.. (2023). Serum neurofilament light chain cut‐off definition for clinical diagnosis and prognosis of amyotrophic lateral sclerosis. European Journal of Neurology. 30(7). 1919–1927. 10 indexed citations
9.
Aeschbacher, Stefanie, Jens Kühle, Pascal Benkert, et al.. (2023). Concentrations of Serum Brain Injury Biomarkers Following SARS-CoV-2 Infection in Individuals with and without Long-COVID—Results from the Prospective Population-Based COVI-GAPP Study. Diagnostics. 13(13). 2167–2167. 5 indexed citations
10.
Buchmann, Arabella, Lukas Pirpamer, Daniela Pinter, et al.. (2023). High serum neurofilament light chain levels correlate with brain atrophy and physical disability in multiple sclerosis. European Journal of Neurology. 30(5). 1389–1399. 8 indexed citations
11.
Leppert, David, Mitsuru Watanabe, Sabine Schaedelin, et al.. (2023). Granulocyte activation markers in cerebrospinal fluid differentiate acute neuromyelitis spectrum disorder from multiple sclerosis. Journal of Neurology Neurosurgery & Psychiatry. 94(9). 726–737. 9 indexed citations
12.
Koini, Marisa, Lukas Pirpamer, Edith Hofer, et al.. (2021). Factors influencing serum neurofilament light chain levels in normal aging. Aging. 13(24). 25729–25738. 70 indexed citations
13.
Benkert, Pascal, Katja Akgün, Eline A.J. Willemse, et al.. (2021). Serum Neurofilament Light Chain: A Marker of Nervous System Damage in Myopathies. Frontiers in Neuroscience. 15. 791670–791670. 6 indexed citations
14.
Rübsamen, Nicole, Aleksandra Maleska Maceski, David Leppert, et al.. (2021). Serum neurofilament light and tau as prognostic markers for all-cause mortality in the elderly general population—an analysis from the MEMO study. BMC Medicine. 19(1). 38–38. 34 indexed citations
15.
Comabella, Manuel, Margareta A. Clarke, Sabine Schaedelin, et al.. (2021). CSF chitinase 3-like 1 is associated with iron rims in patients with a first demyelinating event. Multiple Sclerosis Journal. 28(1). 71–81. 20 indexed citations
16.
Kühle, Jens, Nadia Daizadeh, Pascal Benkert, et al.. (2021). Sustained reduction of serum neurofilament light chain over 7 years by alemtuzumab in early relapsing–remitting MS. Multiple Sclerosis Journal. 28(4). 573–582. 26 indexed citations
17.
Ramanujam, Ryan, Feng Zhu, Katharina Fink, et al.. (2020). Accurate classification of secondary progression in multiple sclerosis using a decision tree. Multiple Sclerosis Journal. 27(8). 1240–1249. 17 indexed citations
18.
Sutter, Raoul, Lisa Hert, Gian Marco De Marchis, et al.. (2020). Serum Neurofilament Light Chain Levels in the Intensive Care Unit: Comparison between Severely Ill Patients with and without Coronavirus Disease 2019. Annals of Neurology. 89(3). 610–616. 54 indexed citations
19.
Benkert, Pascal, Marco Biasini, & Torsten Schwede. (2010). Toward the estimation of the absolute quality of individual protein structure models. Bioinformatics. 27(3). 343–350. 1735 indexed citations breakdown →
20.
Benkert, Pascal, et al.. (2009). QMEAN server for protein model quality estimation. Nucleic Acids Research. 37(suppl_2). W510–W514. 664 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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