Eric P. PÂQUES

941 citations
9 papers · 794 · h-index 9

Impact in

  • Hematology top 10%
    • Iron Metabolism and Disorders
    • S100 Proteins and Annexins
    • Lipid Membrane Structure and Behavior
    • Protein Structure and Dynamics
    • Ion channel regulation and function

Papers in

    • S100 Proteins and Annexins 2
    • Protein Structure and Dynamics 2
    • Coagulation, Bradykinin, Polyphosphates, and Angioedema 2

Eric P. PÂQUES

9 papers receiving 766 citations

Peers

Eric P. PÂQUES
Comparison fields: 5 of 73
  • Hematology 125
  • Molecular Biology 618
  • Immunology 146
  • Computational Theory and Mathematics 99
  • Immunology and Allergy 32
Replace Matthias Stein-Gerlach with:
Matthias Stein-Gerlach Germany
Jay M. Jones United States
Robert Berendes Germany
E Lee United States
Christine Tam United States
Bernhard C. Lechtenberg United States
E. Papagrigoriou United Kingdom
Hagit Niv Israel
Jacky Chi Ki Ngo Hong Kong
R A Rifkind United States
Eric P. PÂQUES relative to Matthias Stein-Gerlach Germany Matthias Stein-Gerlach's profile →
Citations per field
00.5×4.5×
Matthias Stein-Gerlach · 1×
Citations per year

Countries citing papers authored by Eric P. PÂQUES

Since Specialization
Citations

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

Fields of papers citing papers by Eric P. PÂQUES

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Eric P. PÂQUES. 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 Eric P. PÂQUES. The network helps show where Eric P. PÂQUES may publish in the future.

Co-authors

The 12 scholars most cited alongside Eric P. PÂQUES, 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 Eric P. PÂQUES Line = papers co-authored together Eric P. PÂQUES links everyone, so they are left out of the graph.

All Works

9 of 9 papers shown
#Work
1 1990349
2 1992215
3 1980101
4 197943
5 197923
6 198020
7 198018
8 198016
9 19779

About Eric P. PÂQUES

Eric P. PÂQUES is a scholar working on Molecular Biology, Genetics, Hematology, Ecology and Computational Theory and Mathematics, having authored 9 papers that have together received 794 indexed citations. Recurring topics across this work include Iron Metabolism and Disorders (3 papers), Coagulation, Bradykinin, Polyphosphates, and Angioedema (2 papers), S100 Proteins and Annexins (2 papers), Complement system in diseases (2 papers), Protein Structure and Dynamics (2 papers), Computational Drug Discovery Methods (2 papers), Bacteriophages and microbial interactions (2 papers) and Surface Chemistry and Catalysis (2 papers). The work is most often cited by research in Hematology (125 citations), Molecular Biology (618 citations), Immunology (146 citations), Computational Theory and Mathematics (99 citations) and Immunology and Allergy (32 citations). Eric P. PÂQUES has collaborated with scholars based in Germany and Belgium. Frequent co-authors include Robert Huber, Jürgen Römisch, Monika Schneider, Robert Berendes, Alexander Bürger, Andrej Karshikov, Hartmut Luecke, J. Deisenhofer, Henning Scholze and Robert R. Crichton. Their work appears in journals such as European Journal of Biochemistry, Biochemical Society Transactions, The EMBO Journal, Journal of Molecular Biology and Journal of Molecular Catalysis.

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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