The chart shows the distribution of publications by all Research.com ranked scientists in the field of Computer Science in 2026. The highlighted bar marks where Maria Jesus Martin sits on this spectrum.
This scientist: 145 publications — 25th percentile
25% of scientists in this discipline score the same or lower.
The last bar groups every scientist with 991 publications or more.
The chart shows the D-index (discipline H-index) distribution of Computer Science scientists ranked by Research.com in 2026. The highlighted bar marks where Maria Jesus Martin sits on this spectrum.
This scientist: 55 D-Index — 71st percentile
71% of scientists in this discipline score the same or lower.
The last bar groups every scientist with 131 D-Index or more.
Maria Jesus Martin is affiliated with the European Bioinformatics Institute in the United Kingdom. Their research spans the domain of Biochemistry, Genetics and Molecular Biology, with a strong emphasis on Molecular Biology, Spectroscopy, Computational Theory and Mathematics, Genetics, and Artificial Intelligence as subfields. This interdisciplinary approach supports Maria Jesus Martin's contributions to bioinformatics and molecular biology research.
They have co-authored a substantial number of publications with several frequent collaborators, including Sandra Orchard, Tunca Doğan, Alex Bateman, Emily Bowler-Barnett, and Rabie Saidi. These collaborations reflect a network of researchers active in computational biology and proteomics.
Maria Jesus Martin's work has been published predominantly in well-regarded scientific venues. The most frequent publication venues include:
The scientist's recent papers demonstrate focus on protein knowledgebases and molecular interaction data, with notable examples including:
The main topics of Maria Jesus Martin's research include the following areas:
This profile indicates a strong engagement with advanced computational techniques and bioinformatics tools to analyze proteins and their interactions at the molecular level. The combination of machine learning applications and proteomics demonstrates an integration of modern computational methods with experimental biology. Maria Jesus Martin's publication record shows sustained contributions to the development and dissemination of knowledge resources such as UniProt, which are fundamental for biological research globally.
Alex Bateman;Maria Jesus Martin;Claire O'Donovan;Michele Magrane
Rolf Apweiler;Amos Bairoch;Cathy H. Wu;Winona C. Barker
Alex Bateman;Maria-Jesus Martin;Sandra Orchard
S. Carbon;E. Douglass;N. Dunn;B. Good
Brigitte Boeckmann;Amos Bairoch;Rolf Apweiler;Marie-Claude Blatter
Amos Bairoch;Rolf Apweiler;Cathy H. Wu;Winona C. Barker
Seth Carbon;Eric Douglass;Benjamin M Good
R Apweiler;A Bateman;MJ Martin;C O'Donovan
Cathy H. Wu;Rolf Apweiler;Amos Bairoch;Darren A. Natale
Anne Morgat;Rolf Apweiler;Maria-Jesus Martin;C. O'Donovan
R Apweiler;MJ Martin;C O'Donovan;M Magrane
Milot Mirdita;Lars von den Driesch;Lars von den Driesch;Clovis Galiez;Maria Jesus Martin
Blake Ja;Dolan M;Drabkin H
Rachael P. Huntley;Tony Sawford;Prudence Mutowo-Meullenet;Aleksandra Shypitsyna
Eric Jain;Amos Bairoch;Amos Bairoch;Severine Duvaud;Isabelle Phan
Gautier Koscielny;Peter An;Denise Carvalho-Silva;Jennifer A. Cham
Emily C. Dimmer;Rachael P. Huntley;Yasmin Alam-Faruque;Tony Sawford
Ahmet Sureyya Rifaioglu;Heval Atas;Maria Jesus Martin;Rengul Cetin-Atalay
Yuxiang Jiang;Tal Ronnen Oron;Wyatt T. Clark;Asma R. Bankapur
Naihui Zhou;Yuxiang Jiang;Timothy R. Bergquist;Alexandra J. Lee
Sameer Velankar;Jose M. Dana;Julius O. B. Jacobsen;Glen van Ginkel
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