Pieter De Bleser

4.2k total citations
36 papers, 2.1k citations indexed

About

Pieter De Bleser is a scholar working on Molecular Biology, Hepatology and Immunology. According to data from OpenAlex, Pieter De Bleser has authored 36 papers receiving a total of 2.1k indexed citations (citations by other indexed papers that have themselves been cited), including 21 papers in Molecular Biology, 9 papers in Hepatology and 6 papers in Immunology. Recurrent topics in Pieter De Bleser's work include Liver physiology and pathology (9 papers), Genomics and Chromatin Dynamics (6 papers) and RNA and protein synthesis mechanisms (4 papers). Pieter De Bleser is often cited by papers focused on Liver physiology and pathology (9 papers), Genomics and Chromatin Dynamics (6 papers) and RNA and protein synthesis mechanisms (4 papers). Pieter De Bleser collaborates with scholars based in Belgium, United States and Netherlands. Pieter De Bleser's co-authors include Albert Geerts, Eddie Wisse, Jean-Marc Lazou, Toshiro Niki, Karine Hellemans, Frans van Roy, Yvan Saeys, Paco Hulpiau, Bart Hooghe and Kit Van Den Berg and has published in prestigious journals such as Nucleic Acids Research, Journal of Biological Chemistry and Nature Communications.

In The Last Decade

Pieter De Bleser

36 papers receiving 2.0k citations

Peers

Pieter De Bleser
Comparison fields: 5 of 113
  • Molecular Biology 831
  • Hepatology 637
  • Epidemiology 491
  • Immunology 359
  • Surgery 343
Replace Rebecca L. Aucott with:
Rebecca L. Aucott United Kingdom
И. В. Кириллова Russia
Cecil R. Stockard United States
Francis J. Eng United States
Branko Stefanovic United States
Ignacio Benedicto Spain
H. P. Dienes Germany
Daekwan Seo South Korea
Ming‐Xiao He United States
Kotaro Ishibashi Japan
Rebecca L. Aucott United Kingdom View profile →
Citations per field, relative to Pieter De Bleser
Pieter De Bleser · 1×
Citations per year, relative to Pieter De Bleser
Pieter De Bleser · 1×

Countries citing papers authored by Pieter De Bleser

Since Specialization
Citations

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

Fields of papers citing papers by Pieter De Bleser

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Pieter De Bleser. 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 Pieter De Bleser. The network helps show where Pieter De Bleser may publish in the future.

Co-authorship network of co-authors of Pieter De Bleser

This figure shows the co-authorship network connecting the top 25 collaborators of Pieter De Bleser. A scholar is included among the top collaborators of Pieter De Bleser 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 Pieter De Bleser. Pieter De Bleser 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
# Work Indexed citations
1 5
2 1
3 4
4 43
5 99
6 13
7 16
8 33
9 26
10 43
11 50
12 55
13
Combinations of hepatocyte-specific transcription factor binding sites identified de novo using a novel bioinformatics algorithm yield robust liver-specific expression
1
14 55
15 60
16 18
17 223
18 94
19 45
20 40

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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