Jacques Portoukalian

3.5k citations
105 papers · 2.9k indexed · h-index 27
Topics
Glycosylation and Glycoproteins Research (50 papers)Sphingolipid Metabolism and Signaling (22 papers)Monoclonal and Polyclonal Antibodies Research (18 papers)
Partner nations
FranceUnited StatesJapan

In The Last Decade

Jacques Portoukalian

104 papers receiving 2.8k citations

Peers

Jacques Portoukalian
Comparison fields: 5 of 106
  • Molecular Biology 1.8k
  • Immunology 812
  • Cell Biology 354
  • Radiology, Nuclear Medicine and Imaging 349
  • Physiology 321
Replace Pierre Olivier Couraud with:
Pierre Olivier Couraud France
Ilona Linnoila United States
Michael P. Scheid Canada
François G. Gervais Canada
John Foerster Germany
John Cogswell United States
Sunil Nagpal United States
Olga Chernova United States
Dennis T. Sasaki United States
Carsten Jonat United States
Jacques Portoukalian relative to Pierre Olivier Couraud France Pierre Olivier Couraud's profile →
Citations per field
00.5×2.9×
Pierre Olivier Couraud · 1×
Citations per year

Countries citing papers authored by Jacques Portoukalian

Since Specialization
Citations

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

Fields of papers citing papers by Jacques Portoukalian

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Jacques Portoukalian

This figure shows the co-authorship network connecting the top 25 collaborators of Jacques Portoukalian. A scholar is included among the top collaborators of Jacques Portoukalian 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 Jacques Portoukalian. Jacques Portoukalian 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
#WorkIndexed citations
1 26
2 65
3 97
4 42
5 41
6 25
7 12
8 16
9 48
10 69
11 159
12 50
13 4
14 7
15 9
16 4
17 17
18 60
19 15
20 16

About Jacques Portoukalian

Jacques Portoukalian is a scholar working on Immunology, Biochemistry and Molecular Biology, having authored 105 papers that have together received 2.9k indexed citations. Recurring topics across this work include Glycosylation and Glycoproteins Research (50 papers), Sphingolipid Metabolism and Signaling (22 papers) and Monoclonal and Polyclonal Antibodies Research (18 papers). The work is most often cited by research in Immunology (812 citations), Molecular Biology (1.8k citations) and Cell Biology (354 citations). Jacques Portoukalian has collaborated with scholars based in France, United States and Japan. Frequent co-authors include G Zwingelstein, Iuliana Popa, Daniel Schmitt, William W. Young, Sen‐itiroh Hakomori, Dominique Ardail, Jean‐François Doré, Jacques Bodennec, Claire Rodriguez‐Lafrasse and Josette Péguet‐Navarro. Their work appears in journals such as Journal of Biological Chemistry, The Journal of Immunology and PLoS ONE.

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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