Pascal Benkert

86 papers receiving 7.7k citations

Pascal Benkert's Hit Papers

Harmonizing Definitions for Progression Independent of Relapse Activity in Multiple Sclerosis 2023 · 91 citations
910+6+12Years since publication50010001.5k

Peers

Pascal Benkert
Comparison fields: 5 of 161
  • Pathology and Forensic Medicine 1.5k
  • Neurology 809
  • Molecular Biology 3.1k
  • Biotechnology 364
  • Cell Biology 496
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Yong Jiang China
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Vijay Kumar India
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Hua Zou United States
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Citations per year

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-authors

The 25 scholars most cited alongside Pascal Benkert, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Pascal Benkert Line = papers co-authored together Pascal Benkert links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 90 papers — load more, or switch the sort, to bring in the rest.

#Work
1
Toward the estimation of the absolute quality of individual protein structure models
Hit paper breakdown →
20101754
2
Protein structure homology modeling using SWISS-MODEL workspace
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20081035
3
Serum Neurofilament light: A biomarker of neuronal damage in multiple sclerosis
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2017846
4
QMEAN: A comprehensive scoring function for model quality assessment
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2007825
5
QMEAN server for protein model quality estimation
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2009674
6
Serum neurofilament light levels in normal aging and their association with morphologic brain changes
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2020401
7
Serum neurofilament as a predictor of disease worsening and brain and spinal cord atrophy in multiple sclerosis
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2018376
8 2013159
9 2019143
10 2009123
11 2018119
12 2020109
13
Harmonizing Definitions for Progression Independent of Relapse Activity in Multiple Sclerosis
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202391
14 202179
15 202066
16 201365
17 202163
18 202054
19 202050
20 202048

About Pascal Benkert

Pascal Benkert is a scholar working on Pathology and Forensic Medicine, Molecular Biology, Neurology, Hematology and Genetics, having authored 90 papers that have together received 7.8k indexed citations. Recurring topics across this work include Multiple Sclerosis Research Studies (42 papers), Amyotrophic Lateral Sclerosis Research (6 papers), Protein Structure and Dynamics (6 papers), Enzyme Structure and Function (3 papers), Iron Metabolism and Disorders (3 papers), Computational Drug Discovery Methods (3 papers), Chronic Myeloid Leukemia Treatments (2 papers) and Advanced Neuroimaging Techniques and Applications (2 papers). The work is most often cited by research in Pathology and Forensic Medicine (1.5k citations), Neurology (809 citations), Molecular Biology (3.1k citations), Biotechnology (364 citations) and Cell Biology (496 citations). Pascal Benkert has collaborated with scholars based in Switzerland, Germany and United States. Frequent co-authors include Torsten Schwede, Marco Biasini, Silvio C. E. Tosatto, Dietmar Schomburg, Jens Kühle, David Leppert, Konstantin Arnold, James N. D. Battey, Florian Kiefer and Lorenza Bordoli. Their work appears in journals such as Multiple Sclerosis Journal, Neurology, Annals of Neurology, Neurology Neuroimmunology & Neuroinflammation and European Journal of Neurology.

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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