Pascal Schlosser

42 papers receiving 630 citations

Pascal Schlosser's Hit Papers

Plasma proteome analyses in individuals of European and African ancestry identify cis-pQTLs and models for proteome-wide association studies 2022 · 165 citations
1650+1+2Years since publication50100150

Peers

Pascal Schlosser
Comparison fields: 5 of 90
  • Nephrology 53
  • Biological Psychiatry 12
  • Genetics 136
  • Clinical Biochemistry 25
  • Molecular Biology 253
Replace Hanbin Cui with:
Hanbin Cui China
Mathew Barber United States
Giuseppe Miscio Italy
Masaya Koshizaka Japan
Magda R. Hamczyk Spain
Joshua Backman United States
Yuhong Xie China
Núria Serra Spain
Keith L. Keene United States
Judy Z. Louie United States
Pascal Schlosser relative to Hanbin Cui China Hanbin Cui's profile →
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Citations per year

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-authors

The 25 scholars most cited alongside Pascal Schlosser, 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 Schlosser Line = papers co-authored together Pascal Schlosser links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 42 papers — load more, or switch the sort, to bring in the rest.

#Work
1
Plasma proteome analyses in individuals of European and African ancestry identify cis-pQTLs and models for proteome-wide association studies
Hit paper breakdown →
2022165
2 201881
3 201933
4 201831
5 202028
6 202423
7 202023
8 201620
9 202319
10 202117
11 202316
12 202016
13 202215
14 202015
15 202214
16 202114
17 202213
18 202410
19 20239
20 20218

About Pascal Schlosser

Pascal Schlosser is a scholar working on Molecular Biology, Genetics, Clinical Biochemistry, Rheumatology and Biochemistry, having authored 42 papers that have together received 634 indexed citations. Recurring topics across this work include Epigenetics and DNA Methylation (7 papers), Genetic Associations and Epidemiology (7 papers), Metabolism and Genetic Disorders (6 papers), Metabolomics and Mass Spectrometry Studies (6 papers), Folate and B Vitamins Research (4 papers), Amino Acid Enzymes and Metabolism (3 papers), Liver Disease Diagnosis and Treatment (3 papers) and Chronic Kidney Disease and Diabetes (2 papers). The work is most often cited by research in Nephrology (53 citations), Biological Psychiatry (12 citations), Genetics (136 citations), Clinical Biochemistry (25 citations) and Molecular Biology (253 citations). Pascal Schlosser has collaborated with scholars based in Germany, United States and Austria. Frequent co-authors include Morgan E. Grams, Anna Köttgen, Josef Coresh, Bing Yu, Eric Boerwinkle, Adrienne Tin, Nilanjan Chatterjee, Jingning Zhang, Diptavo Dutta and Eugene P. Rhee. Their work appears in journals such as Journal of the American Society of Nephrology, Kidney Medicine, Kidney International, Nature Communications and Bioinformatics.

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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