Jonathan St‐Germain

2.1k citations
33 papers · 841 indexed · h-index 18
  • Cell Biology top 10%
    • Biotin and Related Studies 6
    • Cellular transport and secretion 3
    • Protein Kinase Regulation and GTPase Signaling 5
    • Glycosylation and Glycoproteins Research 3
    • Ubiquitin and proteasome pathways 3
    • RNA and protein synthesis mechanisms 3
    • Protein Tyrosine Phosphatases 3
    • Protein Degradation and Inhibitors 3
  • Spectroscopy top 10%

Jonathan St‐Germain

31 papers receiving 836 citations

Peers

Jonathan St‐Germain
Comparison fields: 5 of 73
  • Cell Biology 146
  • Molecular Biology 609
  • Immunology 124
  • Spectroscopy 84
  • Hematology 45
Replace Mayumi Ishihara with:
Mayumi Ishihara United States
Giovanna Bergamini Germany
Estelle Laurent Canada
Kaye D. Speicher United States
Katarzyna Kulej United States
Malgorzata Broncel United Kingdom
Itay Koren Israel
Mary Ellen K. Salyan United States
Monique Zahn‐Zabal Switzerland
Sylviane Dewaele Belgium
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Citations per field
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Citations per year

Countries citing papers authored by Jonathan St‐Germain

Since Specialization
Citations

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

Fields of papers citing papers by Jonathan St‐Germain

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Jonathan St‐Germain. 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 Jonathan St‐Germain. The network helps show where Jonathan St‐Germain may publish in the future.

Co-authorship network

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

All Works

20 of 20 papers shown
#Work
1 20251
2 20251
3 20250
4 20242
5 20240
6 20231
7 202111
8 20213
9 202021
10 202013
11 201941
12 201979
13 201813
14 2018102
15 201319
16 201218
17 2011141
18 201048
19 200831
20 200450

About Jonathan St‐Germain

Jonathan St‐Germain is a scholar working on Cell Biology, Molecular Biology and Immunology, having authored 33 papers that have together received 841 indexed citations. Recurring topics across this work include Biotin and Related Studies (6 papers), Protein Kinase Regulation and GTPase Signaling (5 papers), Glycosylation and Glycoproteins Research (3 papers), Ubiquitin and proteasome pathways (3 papers), RNA and protein synthesis mechanisms (3 papers), Cellular transport and secretion (3 papers), Protein Tyrosine Phosphatases (3 papers) and Protein Degradation and Inhibitors (3 papers). The work is most often cited by research in Cell Biology (146 citations), Molecular Biology (609 citations) and Immunology (124 citations). Jonathan St‐Germain has collaborated with scholars based in Canada, United States and United Kingdom. Frequent co-authors include Michael F. Moran, Brian Raught, Qiao Li, Paul Taylor, Jihong Chen, Lily L. Jin, Étienne Coyaud, Estelle Laurent, Jiefei Tong and John H. Brumell. Their work appears in journals such as Journal of Proteome Research, Nature Communications, PROTEOMICS, Autophagy and Molecular & Cellular Proteomics.

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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