Michael Gosselin

4.2k total citations · 1 hit paper
9 papers, 3.2k citations indexed

About

Michael Gosselin is a scholar working on Molecular Biology, Radiology, Nuclear Medicine and Imaging and Immunology and Allergy. According to data from OpenAlex, Michael Gosselin has authored 9 papers receiving a total of 3.2k indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Molecular Biology, 2 papers in Radiology, Nuclear Medicine and Imaging and 2 papers in Immunology and Allergy. Recurrent topics in Michael Gosselin's work include Glycosylation and Glycoproteins Research (2 papers), Complement system in diseases (2 papers) and Receptor Mechanisms and Signaling (2 papers). Michael Gosselin is often cited by papers focused on Glycosylation and Glycoproteins Research (2 papers), Complement system in diseases (2 papers) and Receptor Mechanisms and Signaling (2 papers). Michael Gosselin collaborates with scholars based in United States, Germany and Canada. Michael Gosselin's co-authors include Susan Acton, Mary Donoghue, Keith Robison, Nancy E. Stagliano, Raju Jeyaseelan, Michael J. Donovan, Kevin Godbout, Roger E. Breitbart, F. Hsieh and Clare M. Lloyd and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Journal of Biological Chemistry and Immunity.

In The Last Decade

Michael Gosselin

9 papers receiving 3.1k citations

Hit Papers

A Novel Angiotensin-Converting Enzyme–Related Carboxypept... 2000 2026 2008 2017 2000 500 1000 1.5k 2.0k

Peers

Michael Gosselin
Raju Jeyaseelan United States
Kevin Godbout United States
Mary Donoghue United States
Jan Wysocki United States
Fiona J. Warner Australia
Paul Hales United States
Cyril Mamotte Australia
Raju Jeyaseelan United States
Michael Gosselin
Citations per year, relative to Michael Gosselin Michael Gosselin (= 1×) peers Raju Jeyaseelan

Countries citing papers authored by Michael Gosselin

Since Specialization
Citations

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

Fields of papers citing papers by Michael Gosselin

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Michael Gosselin

This figure shows the co-authorship network connecting the top 25 collaborators of Michael Gosselin. A scholar is included among the top collaborators of Michael Gosselin 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 Michael Gosselin. Michael Gosselin is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

9 of 9 papers shown
1.
Trainor, Kyle, et al.. (2016). Ensemble Modeling and Intracellular Aggregation of an Engineered Immunoglobulin-Like Domain. Journal of Molecular Biology. 428(6). 1365–1374. 17 indexed citations
2.
Suttmann, Oliver, et al.. (2010). Picosecond laser patterning of NiCr thin film strain gages. Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE. 7589. 758914–758914. 2 indexed citations
3.
Mamluk, Roni, et al.. (2006). The type 1 repeat peptide ABT510 induces apoptosis of brain microvascular endothelial cells and inhibits glioblastoma tumor growth in vivo. Cancer Research. 66. 54–54. 1 indexed citations
4.
Donoghue, Mary, F. Hsieh, Kevin Godbout, et al.. (2000). A Novel Angiotensin-Converting Enzyme–Related Carboxypeptidase (ACE2) Converts Angiotensin I to Angiotensin 1-9. Circulation Research. 87(5). E1–9. 2380 indexed citations breakdown →
5.
Coyle, Anthony J., Sophie M. Lehar, Clare M. Lloyd, et al.. (2000). The CD28-Related Molecule ICOS Is Required for Effective T Cell–Dependent Immune Responses. Immunity. 13(1). 95–105. 426 indexed citations
6.
Rittershaus, Charles W., Lawrence J. Thomas, David P. Miller, et al.. (1999). Recombinant Glycoproteins That Inhibit Complement Activation and Also Bind the Selectin Adhesion Molecules. Journal of Biological Chemistry. 274(16). 11237–11244. 43 indexed citations
7.
Rinninger, Franz, Nan Wang, Victoria Fairchild-Huntress, et al.. (1998). Targeted mutation reveals a central role for SR-BI in hepatic selective uptake of high density lipoprotein cholesterol. Proceedings of the National Academy of Sciences. 95(8). 4619–4624. 257 indexed citations
8.
Scesney, Susanne M., Savvas C. Makrides, Michael Gosselin, et al.. (1996). A soluble deletion mutant of the human complement receptor type 1, which lacks the C4b binding site, is a selective inhibitor of the alternative complement pathway. European Journal of Immunology. 26(8). 1729–1735. 28 indexed citations
9.
Gosselin, Michael & Maurice Liss. (1985). The carboxyl methylation of aspartyl residues in eledoisin and tetragastrin by rabbit erythrocyte aspartyl β-carboxyl methyltransferase. Journal of Protein Chemistry. 4(2). 129–132. 1 indexed citations

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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