Pieter P. Jacobs

15 total papers · 941 total citations
13 papers, 726 citations indexed

About

Pieter P. Jacobs is a scholar working on Molecular Biology, Cell Biology and Process Chemistry and Technology. According to data from OpenAlex, Pieter P. Jacobs has authored 13 papers receiving a total of 726 indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Molecular Biology, 4 papers in Cell Biology and 3 papers in Process Chemistry and Technology. Recurrent topics in Pieter P. Jacobs's work include Glycosylation and Glycoproteins Research (7 papers), Monoclonal and Polyclonal Antibodies Research (3 papers) and Odor and Emission Control Technologies (3 papers). Pieter P. Jacobs is often cited by papers focused on Glycosylation and Glycoproteins Research (7 papers), Monoclonal and Polyclonal Antibodies Research (3 papers) and Odor and Emission Control Technologies (3 papers). Pieter P. Jacobs collaborates with scholars based in Belgium, United States and Netherlands. Pieter P. Jacobs's co-authors include Nico Callewaert, Roland Contreras, Steven Geysens, Wouter Vervecken, Robert Sackstein, Stefan Ryckaert, Paul Ameloot, Kathleen Van Craenenbroeck, Kristof Demeestere and Inge De Bo and has published in prestigious journals such as FEBS Letters, Nature Protocols and Human Molecular Genetics.

In The Last Decade

Pieter P. Jacobs

13 papers receiving 701 citations

Author Peers

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

Author Last Decade Papers Cites
Pieter P. Jacobs 519 171 114 114 101 13 726
E.A. Sanders 668 1.3× 90 0.5× 65 0.6× 21 0.2× 177 1.8× 15 874
Cornelia Haas 215 0.4× 63 0.4× 118 1.0× 9 0.1× 163 1.6× 14 804
Andrew Plumridge 467 0.9× 113 0.7× 214 1.9× 94 0.8× 63 0.6× 11 754
Lena Häggström 689 1.3× 80 0.5× 51 0.4× 17 0.1× 188 1.9× 34 876
Tarun K. Ghose 428 0.8× 161 0.9× 76 0.7× 17 0.1× 425 4.2× 23 752
Bradley A. Plantz 549 1.1× 110 0.6× 66 0.6× 55 0.5× 134 1.3× 13 685
Keith E. Kropp 573 1.1× 87 0.5× 139 1.2× 60 0.5× 77 0.8× 7 871
Steven Geysens 547 1.1× 179 1.0× 126 1.1× 71 0.6× 147 1.5× 12 636
Miguel Arévalo-Rodrı́guez 614 1.2× 46 0.3× 18 0.2× 21 0.2× 77 0.8× 22 841
Kelly Theriault 504 1.0× 110 0.6× 87 0.8× 40 0.4× 42 0.4× 12 829

Countries citing papers authored by Pieter P. Jacobs

Since Specialization
Citations

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

Fields of papers citing papers by Pieter P. Jacobs

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Pieter P. Jacobs

This figure shows the co-authorship network connecting the top 25 collaborators of Pieter P. Jacobs. A scholar is included among the top collaborators of Pieter P. Jacobs 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 P. Jacobs. Pieter P. Jacobs 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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