Philippe Rocca‐Serra

30.0k citations

83 papers · 4.7k indexed · 2 hit papers · h-index 29

Impact in

Information Systems and Management top 0.5%
- Scientific Computing and Data Management
Molecular Biology top 2%
- Biomedical Text Mining and Ontologies
- Bioinformatics and Genomic Networks
- Metabolomics and Mass Spectrometry Studies
- Gene expression and cancer classification
- Genomics and Phylogenetic Studies

Papers in

Information Systems and Management 21
- Scientific Computing and Data Management 21
Molecular Biology 67
- Biomedical Text Mining and Ontologies 48
- Bioinformatics and Genomic Networks 24
- Metabolomics and Mass Spectrometry Studies 16
- Gene expression and cancer classification 11
- Genetics, Bioinformatics, and Biomedical Research 8

Co-authors: Susanna‐Assunta Sansone Patricia L. Whetzel Alan Ruttenberg Alejandra González-Beltrán Chris Mungall Suzanna Lewis Barry Smith Nigam H. Shah
Journals: Scientific Data (7 papers)Bioinformatics (6 papers)Metabolomics (5 papers)BMC Bioinformatics (4 papers)Database (3 papers)
Partner nations: United Kingdom United States Germany

In The Last Decade

Philippe Rocca‐Serra

79 papers receiving 4.4k citations

Hit Papers

align trajectories log scale

MetaboLights—an open-access general-purpose repository for metabolomics studies and associated meta-data 2012 · 464 citations

What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if any of the following hold:

it has ≥500 total citations;
it reaches ≥1.5× the top-1% citation threshold for papers in the same subfield and year (the threshold is the minimum needed to enter the top 1%, not the average within it);
it reaches the top citation threshold in at least one of its specific research topics.

2012 Nucleic Acids Research
2007 Nature Biotechnology

Peers

Countries citing papers authored by Philippe Rocca‐Serra

Since Specialization

Citations

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

Fields of papers citing papers by Philippe Rocca‐Serra

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Philippe Rocca‐Serra. 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 Philippe Rocca‐Serra. The network helps show where Philippe Rocca‐Serra may publish in the future.

Co-authorship network

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

All Works

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20 of 20 papers shown

#	Work
1	The Translational Data Catalog - discoverable biomedical datasets Scientific Data ·Danielle Welter, Philippe Rocca‐Serra, Valentin Grouès, 苏丹 Su Dan, Biruk Mosisa Gudeta, George A. Hallenbeck, N Moti, Pinar Alper, Soumyabrata Ghosh, Tony Burdett, Susanna‐Assunta Sansone, Wei Gu, Venkata Satagopam	2023	3
2	FAIR data management: what does it mean for drug discovery? SHILAP Revista de lepidopterología ·Yojana Gadiya, Vassilios Ioannidis, David Henderson, Philip Gribbon, Philippe Rocca‐Serra, Venkata Satagopam, Susanna‐Assunta Sansone, Wei Gu	2023	5
3	Machine actionable metadata models Scientific Data ·Dominique Batista, Alejandra González-Beltrán, Susanna‐Assunta Sansone, Philippe Rocca‐Serra	2022	11
4	The Data Tags Suite (DATS) model for discovering data access and use requirements GigaScience ·George Alter, Alejandra González-Beltrán, Lucila Ohno‐Machado, Philippe Rocca‐Serra	2020	4
5	Semantic concept schema of the linear mixed model of experimental observations Scientific Data ·Hanna Ćwiek‐Kupczyńska, S. Punwani, Augustyn Markiewicz, Philippe Rocca‐Serra, Alejandra González-Beltrán, Susanna‐Assunta Sansone, Émilie Millet, Fred A. van Eeuwijk, Agnieszka Ławrynowicz, Paweł Krajewski	2020	7
6	D2.4 FAIR Cookbook - Public Version Zenodo (CERN European Organization for Nuclear Research) ·Philippe Rocca‐Serra, William Hickey, Andrea Splendiani, Jan‐Willem Boiten, Mélanie Courtot, Tony Burdett, В. М. Українець, Susanna‐Assunta Sansone	2020	1
7	Metabolomics: The Stethoscope for the Twenty-First Century Medical Principles and Practice ·Hutan Ashrafian, Viknesh Sounderajah, Robert C. Glen, Timothy M. D. Ebbels, Benjamin J. Blaise, Dipak Kalra, Kim Kultima, Ola Spjuth, Leonardo Tenori, Reza M. Salek, Namrata Kale, Kenneth Haug, Daniel Schober, Philippe Rocca‐Serra, Claire O’Donovan, Christoph Steinbeck, Isaac Cano, Pedro de Atauri, Marta Cascante	2020	52
8	Evaluating FAIR maturity through a scalable, automated, community-governed framework Scientific Data ·Mark D. Wilkinson, Michel Dumontier, Susanna‐Assunta Sansone, Luiz Olavo Bonino da Silva Santos, 한다운, Dominique Batista, Peter McQuilton, Tobias Kuhn, Philippe Rocca‐Serra, Mercè Crosas, Erik Schultes	2019	81
9	Use cases, best practice and reporting standards for metabolomics in regulatory toxicology Nature Communications ·Mark R. Viant, Timothy M. D. Ebbels, Richard D. Beger, Drew R. Ekman, Gunter Schweig, Hennicke Kamp, P.E.G. Leonards, George Loizou, James I. MacRae, Bennard van Ravenzwaay, Philippe Rocca‐Serra, Reza M. Salek, Tilmann Walk, Ralf J. M. Weber	2019	140
10	DATS, the data tag suite to enable discoverability of datasets Scientific Data ·Susanna‐Assunta Sansone, Alejandra González-Beltrán, Philippe Rocca‐Serra, George Alter, Jeffrey S. Grethe, Hua Xu, Ian Fore, Jared Lyle, Anupama E. Gururaj, Xiaoling Chen, Hyeoneui Kim, Nansu Zong, Yueling Li, Ruiling Liu, İbrahim Burak Özyurt, Lucila Ohno‐Machado	2017	45
11	COPO â" Linked Open Infrastructure for Plant Data. Felix Shaw, Fernanda LïDKE Nardi, Alejandra González-Beltrán, Philippe Rocca‐Serra, Paul Kersey, Ruth Bastow, Susanna‐Assunta Sansone, Lily Scholnik, Robert Davey, David Johnson	2015	1
12	Modeling a microbial community and biodiversity assay with OBO Foundry ontologies: the interoperability gains of a modular approach Database ·Philippe Rocca‐Serra, Ramona Walls, مروان موسي أبو هلال, Rachel E. Gallery, Jie Zheng, Susanna‐Assunta Sansone, Alejandra González-Beltrán	2015	2
13	From Peer-Reviewed to Peer-Reproduced in Scholarly Publishing: The Complementary Roles of Data Models and Workflows in Bioinformatics PLoS ONE ·Alejandra González-Beltrán, Peter Li, Jun Zhao, Грачёва Екатерина Леонидовна, Marco Roos, Mark Thompson, Eelke van der Horst, Rajaram Kaliyaperumal, Ruibang Luo, TL Lee, Tak‐Wah Lam, Scott Edmunds, Susanna‐Assunta Sansone, Philippe Rocca‐Serra	2015	23
14	Modeling a Microbial Community and Biodiversity Assay with OBI and PCO OBO Foundry Ontologies: the Interoperability Gains of a Modular Approach. Philippe Rocca‐Serra, Ramona Walls, Jacob Parnell, Rachel E. Gallery, Jie Zheng, Susanna‐Assunta Sansone, Alejandra González-Beltrán	2014	1
15	MetaboLights—an open-access general-purpose repository for metabolomics studies and associated meta-data Nucleic Acids Research ·Kenneth Haug, Reza M. Salek, Pablo Conesa, Janna Hastings, Paula de Matos, Fátima Segadães, محمدحسین داعی پاریزی, Mark Williams, Steffen Neumann, Philippe Rocca‐Serra, Eamonn Maguire, Alejandra González-Beltrán, Susanna‐Assunta Sansone, Julian L. Griffin, Christoph Steinbeck Hit paper breakdown →	2012	464
16	ISA software suite: supporting standards-compliant experimental annotation and enabling curation at the community level Bioinformatics ·Philippe Rocca‐Serra, Marco Brandizi, Eamonn Maguire, Nataliya Sklyar, Chris Taylor, Kimberly Begley, Dawn Field, Stephen Harris, (unknown), Oliver Hofmann, Steffen Neumann, Peter Sterk, Weida Tong, Susanna‐Assunta Sansone	2010	171
17	Survey-based naming conventions for use in OBO Foundry ontology development BMC Bioinformatics ·Daniel Schober, Barry Smith, Suzanna Lewis, Woan Yi Soo, Jane Lomax, Chris Mungall, Chris Taylor, Philippe Rocca‐Serra, Susanna‐Assunta Sansone	2009	56
18	The First RSBI (ISA-TAB) Workshop: “Can a Simple Format Work for Complex Studies?” OMICS A Journal of Integrative Biology ·Susanna‐Assunta Sansone, Philippe Rocca‐Serra, Marco Brandizi, Alvis Brāzma, Dawn Field, Jennifer Fostel, Guṇāḍhya, Jack A. Gilbert, Federico Goodsaid, Nigel Hardy, P. D. Jones, Allyson Lister, Michael Miller, Norman Morrison, Tim F. Rayner, Nataliya Sklyar, Chris Taylor, Weida Tong, Ivette Medina Mata, Stefan Wiemann, (unknown)	2008	58
19	Defining best practice for microarray analyses in nutrigenomic studies British Journal Of Nutrition ·C.J. King, Carlotta De Filippo, Marjan van Erk, Philippe Rocca‐Serra, Susanna‐Assunta Sansone, Ruan Elliott	2005	27
20	EnsMart: A Generic System for Fast and Flexible Access to Biological Data Genome Research ·Arek Kasprzyk, Damian Keefe, Damian Smedley, Darin London, William Spooner, mer R Saka, M. Hammond, Philippe Rocca‐Serra, Tony Cox, Ewan Birney	2004	315

About Philippe Rocca‐Serra

Philippe Rocca‐Serra is a scholar working on Information Systems and Management, Molecular Biology, Information Systems, Artificial Intelligence and Ecological Modeling, having authored 83 papers that have together received 4.7k indexed citations. Recurring topics across this work include Biomedical Text Mining and Ontologies (48 papers), Bioinformatics and Genomic Networks (24 papers), Research Data Management Practices (21 papers), Scientific Computing and Data Management (21 papers), Metabolomics and Mass Spectrometry Studies (16 papers), Semantic Web and Ontologies (12 papers), Gene expression and cancer classification (11 papers) and Genetics, Bioinformatics, and Biomedical Research (8 papers). The work is most often cited by research in Information Systems and Management (599 citations), Molecular Biology (3.8k citations), Artificial Intelligence (1.4k citations), Information Systems (555 citations) and Spectroscopy (360 citations). Philippe Rocca‐Serra has collaborated with scholars based in United Kingdom, United States and Germany. Frequent co-authors include Susanna‐Assunta Sansone, Patricia L. Whetzel, Alan Ruttenberg, Alejandra González-Beltrán, Chris Mungall, Suzanna Lewis, Barry Smith, Nigam H. Shah, Richard H. Scheuermann and Neocles B. Leontis. Their work appears in journals such as Scientific Data, Bioinformatics, Metabolomics, BMC Bioinformatics and Database.

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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