Pascal Schlosser

119 total papers · 2.7k total citations
42 papers, 557 citations indexed

About

Pascal Schlosser is a scholar working on Molecular Biology, Nephrology and Genetics. According to data from OpenAlex, Pascal Schlosser has authored 42 papers receiving a total of 557 indexed citations (citations by other indexed papers that have themselves been cited), including 19 papers in Molecular Biology, 11 papers in Nephrology and 11 papers in Genetics. Recurrent topics in Pascal Schlosser's work include Genetic Associations and Epidemiology (9 papers), Epigenetics and DNA Methylation (8 papers) and Chronic Kidney Disease and Diabetes (8 papers). Pascal Schlosser is often cited by papers focused on Genetic Associations and Epidemiology (9 papers), Epigenetics and DNA Methylation (8 papers) and Chronic Kidney Disease and Diabetes (8 papers). Pascal Schlosser collaborates with scholars based in Germany, United States and Austria. Pascal Schlosser's co-authors include Anna Köttgen, Morgan E. Grams, Josef Coresh, Bing Yu, Adrienne Tin, Eric Boerwinkle, Nilanjan Chatterjee, Jingning Zhang, Diptavo Dutta and Dietmar Pfeifer and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Nature Communications and Nature Genetics.

In The Last Decade

Pascal Schlosser

39 papers receiving 554 citations

Hit Papers

Plasma proteome analyses ... 2022 2026 2023 2024 2022 40 80 120

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author Last Decade Papers Cites
Pascal Schlosser 276 151 68 58 44 42 557
Ben Pode‐Shakked 325 1.2× 167 1.1× 30 0.4× 24 0.4× 38 0.9× 54 607
Cheol Woo Ko 243 0.9× 165 1.1× 129 1.9× 19 0.3× 31 0.7× 50 676
Keith L. Keene 169 0.6× 199 1.3× 74 1.1× 34 0.6× 53 1.2× 31 496
Alisa D. Kjærgaard 239 0.9× 147 1.0× 37 0.5× 21 0.4× 49 1.1× 34 670
Yuko Miwa 172 0.6× 128 0.8× 65 1.0× 24 0.4× 40 0.9× 36 697
Akiyo Sekimoto 158 0.6× 92 0.6× 112 1.6× 21 0.4× 45 1.0× 33 604
Chia‐Ni Hsiung 267 1.0× 127 0.8× 40 0.6× 113 1.9× 31 0.7× 22 520
Jiawei Shen 197 0.7× 182 1.2× 22 0.3× 43 0.7× 34 0.8× 63 648
Beata S. Lipska‐Ziętkiewicz 249 0.9× 135 0.9× 201 3.0× 22 0.4× 41 0.9× 42 533
Yang Xiang 288 1.0× 57 0.4× 22 0.3× 48 0.8× 58 1.3× 33 683

Countries citing papers authored by Pascal Schlosser

Since Specialization
Citations

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

Fields of papers citing papers by Pascal Schlosser

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Pascal Schlosser

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

All Works

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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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