Samuel Kerrien

5.5k total citations
12 papers, 634 citations indexed

About

Samuel Kerrien is a scholar working on Molecular Biology, Spectroscopy and Artificial Intelligence. According to data from OpenAlex, Samuel Kerrien has authored 12 papers receiving a total of 634 indexed citations (citations by other indexed papers that have themselves been cited), including 11 papers in Molecular Biology, 3 papers in Spectroscopy and 2 papers in Artificial Intelligence. Recurrent topics in Samuel Kerrien's work include Bioinformatics and Genomic Networks (8 papers), Biomedical Text Mining and Ontologies (5 papers) and Advanced Proteomics Techniques and Applications (3 papers). Samuel Kerrien is often cited by papers focused on Bioinformatics and Genomic Networks (8 papers), Biomedical Text Mining and Ontologies (5 papers) and Advanced Proteomics Techniques and Applications (3 papers). Samuel Kerrien collaborates with scholars based in United Kingdom, France and United States. Samuel Kerrien's co-authors include Henning Hermjakob, Nicholas J. Brandon, Paul J. Whiting, Vincent Collura, Kenji Mizuguchi, Luiz Miguel Camargo, Jean‐Christophe Rain, Timothy P. Bonnert, Lennart Martens and Philip Jones and has published in prestigious journals such as Bioinformatics, Genome biology and Molecular Psychiatry.

In The Last Decade

Samuel Kerrien

12 papers receiving 619 citations

Peers

Countries citing papers authored by Samuel Kerrien

Since Specialization

Citations

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

Fields of papers citing papers by Samuel Kerrien

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Samuel Kerrien

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

All Works

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12 of 12 papers shown

#	Work	Indexed citations
1	A Machine-Generated View of the Role of Blood Glucose Levels in the Severity of COVID-19 2021 ·Frontiers in Public Health ·Emmanuelle Logette, (unknown), (unknown), (unknown), Jay S. Coggan, (unknown), (unknown), (unknown), (unknown), (unknown), (unknown), (unknown), (unknown), Daniel Keller, Samuel Kerrien, E. Scantamburlo, Anna-Kristin Kaufmann, Henry Markram	28
2	Capturing cooperative interactions with the PSI-MI format 2013 ·Database ·Kim Van Roey, Sandra Orchard, Samuel Kerrien, Marine Dumousseau, Sylvie Ricard‐Blum, Henning Hermjakob, Toby J. Gibson	9
3	The PSI semantic validator: A framework to check MIAPE compliance of proteomics data 2009 ·PROTEOMICS ·Luisa Montecchi‐Palazzi, Samuel Kerrien, Florian Reisinger, Bruno Aranda, Andrew R. Jones, Lennart Martens, Henning Hermjakob	42
4	Molecular Interactions and Data Standardisation 2009 ·Methods in molecular biology ·Sandra Orchard, Samuel Kerrien	16
5	MINT and IntAct contribute to the Second BioCreative challenge: serving the text-mining community with high quality molecular interaction data 2008 ·Genome biology ·Andrew Chatr‐aryamontri, Samuel Kerrien, Jyoti Khadake, Sandra Orchard, Arnaud Céol, Luana Licata, Luisa Castagnoli, Stefano Costa, (unknown), Rachael P. Huntley, Bruno Aranda, Catherine Leroy, (unknown), Rolf Apweiler, Gianni Cesareni, Henning Hermjakob	19
6	InteroPORC: automated inference of highly conserved protein interaction networks 2008 ·Bioinformatics ·Magali Michaut, Samuel Kerrien, Luisa Montecchi‐Palazzi, Franck Chauvat, Corinne Cassier‐Chauvat, Jean-Christophe Aude, Pierre Legrain, Henning Hermjakob	31
7	InteroPORC: an automated tool to predict highly conserved protein interaction networks 2008 ·BMC Bioinformatics ·Magali Michaut, Samuel Kerrien, Luisa Montecchi‐Palazzi, Corinne Cassier‐Chauvat, Franck Chauvat, Jean-Christophe Aude, Pierre Legrain, Henning Hermjakob	3
8	Submit Your Interaction Data the IMEx Way 2007 ·PROTEOMICS ·Sandra Orchard, Samuel Kerrien, Philip Jones, Arnaud Céol, Andrew Chatr‐aryamontri, Łukasz Salwiński, (unknown), Henning Hermjakob	47
9	The Protein Identifier Cross-Referencing (PICR) service: reconciling protein identifiers across multiple source databases 2007 ·BMC Bioinformatics ·Richard G. Côté, Philip Jones, Lennart Martens, Samuel Kerrien, Florian Reisinger, (unknown), Rasko Leinonen, Rolf Apweiler, Henning Hermjakob	100
10	Rintact: enabling computational analysis of molecular interaction data from the IntAct repository 2007 ·Bioinformatics ·Tony Chiang, (unknown), Sandra Orchard, Samuel Kerrien, Henning Hermjakob, Robert Gentleman, Wolfgang Huber	5
11	Disrupted in Schizophrenia 1 Interactome: evidence for the close connectivity of risk genes and a potential synaptic basis for schizophrenia 2006 ·Molecular Psychiatry ·Luiz Miguel Camargo, Vincent Collura, Jean‐Christophe Rain, Kenji Mizuguchi, Henning Hermjakob, Samuel Kerrien, Timothy P. Bonnert, Paul J. Whiting, Nicholas J. Brandon	333
12	Development and Implementation of the PSI MI Standard for Molecular Interaction 2006 ·Samuel Kerrien, Henning Hermjakob	1

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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