Marek Tutaj

10.2k total citations
26 papers, 584 citations indexed

About

Marek Tutaj is a scholar working on Molecular Biology, Genetics and Artificial Intelligence. According to data from OpenAlex, Marek Tutaj has authored 26 papers receiving a total of 584 indexed citations (citations by other indexed papers that have themselves been cited), including 23 papers in Molecular Biology, 8 papers in Genetics and 2 papers in Artificial Intelligence. Recurrent topics in Marek Tutaj's work include Bioinformatics and Genomic Networks (17 papers), Biomedical Text Mining and Ontologies (12 papers) and Gene expression and cancer classification (8 papers). Marek Tutaj is often cited by papers focused on Bioinformatics and Genomic Networks (17 papers), Biomedical Text Mining and Ontologies (12 papers) and Gene expression and cancer classification (8 papers). Marek Tutaj collaborates with scholars based in United States and Brazil. Marek Tutaj's co-authors include Melinda R. Dwinell, G. Thomas Hayman, Jennifer R. Smith, Mary Shimoyama, Stanley J. F. Laulederkind, Shur‐Jen Wang, Jeff De Pons, Victoria Petri, Rajni Nigam and Elizabeth A. Worthey and has published in prestigious journals such as Nucleic Acids Research, Genetics and Physiological Genomics.

In The Last Decade

Marek Tutaj

25 papers receiving 577 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Marek Tutaj United States 13 416 148 55 34 33 26 584
Jeff De Pons United States 13 398 1.0× 121 0.8× 38 0.7× 26 0.8× 36 1.1× 19 520
Rajni Nigam United States 13 421 1.0× 123 0.8× 35 0.6× 26 0.8× 32 1.0× 22 542
Gabriel Musso United States 15 502 1.2× 140 0.9× 57 1.0× 24 0.7× 14 0.4× 28 660
Younhee Ko South Korea 13 322 0.8× 111 0.8× 28 0.5× 52 1.5× 35 1.1× 35 625
Mary Shimoyama United States 19 717 1.7× 233 1.6× 70 1.3× 56 1.6× 51 1.5× 47 991
Ung-Sik Yu South Korea 5 467 1.1× 73 0.5× 56 1.0× 24 0.7× 30 0.9× 11 567
David A. Drubin United States 12 805 1.9× 150 1.0× 53 1.0× 43 1.3× 66 2.0× 18 969
Andrée Delahaye‐Duriez France 14 330 0.8× 199 1.3× 24 0.4× 16 0.5× 69 2.1× 25 592
Cyrus Afrasiabi United States 7 395 0.9× 137 0.9× 96 1.7× 31 0.9× 27 0.8× 11 599
Joshua C. Gilbert United States 4 312 0.8× 247 1.7× 31 0.6× 31 0.9× 9 0.3× 4 535

Countries citing papers authored by Marek Tutaj

Since Specialization
Citations

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

Fields of papers citing papers by Marek Tutaj

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Marek Tutaj

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

All Works

20 of 20 papers shown
1.
Smith, Jennifer R., Marek Tutaj, Jyothi Thota, et al.. (2025). Standardized pipelines support and facilitate integration of diverse datasets at the Rat Genome Database. Database. 2025.
2.
Vedi, Mahima, Jennifer R. Smith, G. Thomas Hayman, et al.. (2023). 2022 updates to the Rat Genome Database: a Findable, Accessible, Interoperable, and Reusable (FAIR) resource. Genetics. 224(1). 27 indexed citations
3.
Kaldunski, Mary L., Jennifer R. Smith, Jeffrey L De Pons, et al.. (2023). Rare disease research resources at the Rat Genome Database. Genetics. 224(4). 2 indexed citations
4.
Laulederkind, Stanley J. F., G. Thomas Hayman, Shur‐Jen Wang, et al.. (2023). The Rat Genome Database: Genetic, Genomic, and Phenotypic Data Across Multiple Species. Current Protocols. 3(6). e804–e804. 4 indexed citations
5.
Wang, Shur‐Jen, Jeffrey L De Pons, Wendy Demos, et al.. (2022). Ontological Analysis of Coronavirus Associated Human Genes at the COVID-19 Disease Portal. Genes. 13(12). 2304–2304. 1 indexed citations
6.
Kaldunski, Mary L., Jennifer R. Smith, G. Thomas Hayman, et al.. (2021). The Rat Genome Database (RGD) facilitates genomic and phenotypic data integration across multiple species for biomedical research. Mammalian Genome. 33(1). 66–80. 9 indexed citations
7.
Laulederkind, Stanley J. F., G. Thomas Hayman, Shur‐Jen Wang, et al.. (2019). Rat Genome Databases, Repositories, and Tools. Methods in molecular biology. 2018. 71–96. 14 indexed citations
8.
Laulederkind, Stanley J. F., G. Thomas Hayman, Shur‐Jen Wang, et al.. (2018). A Primer for the Rat Genome Database (RGD). Methods in molecular biology. 1757. 163–209. 7 indexed citations
9.
Prokop, Jeremy W., Shirng‐Wern Tsaih, Allison Faber, et al.. (2016). The phenotypic impact of the male-specific region of chromosome-Y in inbred mating: the role of genetic variants and gene duplications in multiple inbred rat strains. Biology of Sex Differences. 7(1). 10–10. 16 indexed citations
10.
Shimoyama, Mary, Jennifer R. Smith, Jeff De Pons, et al.. (2016). The Chinchilla Research Resource Database: resource for an otolaryngology disease model. Database. 2016. baw073–baw073. 18 indexed citations
11.
Hayman, G. Thomas, Stanley J. F. Laulederkind, Jennifer R. Smith, et al.. (2016). The Disease Portals, disease–gene annotation and the RGD disease ontology at the Rat Genome Database. Database. 2016. baw034–baw034. 22 indexed citations
12.
Wang, Shur‐Jen, Stanley J. F. Laulederkind, G. Thomas Hayman, et al.. (2016). Comprehensive coverage of cardiovascular disease data in the disease portals at the Rat Genome Database. Physiological Genomics. 48(8). 589–600. 2 indexed citations
13.
Petri, Victoria, G. Thomas Hayman, Marek Tutaj, et al.. (2015). Disease, Models, Variants and Altered Pathways—Journeying RGD Through the Magnifying Glass. Computational and Structural Biotechnology Journal. 14. 35–48. 3 indexed citations
14.
Shimoyama, Mary, Jeff De Pons, G. Thomas Hayman, et al.. (2014). The Rat Genome Database 2015: genomic, phenotypic and environmental variations and disease. Nucleic Acids Research. 43(D1). D743–D750. 164 indexed citations
15.
Petri, Victoria, Pushkala Jayaraman, Marek Tutaj, et al.. (2014). The pathway ontology – updates and applications. Journal of Biomedical Semantics. 5(1). 7–7. 65 indexed citations
16.
Adamusiak, Tomasz, et al.. (2013). Next generation ontology browser.. 132–133. 1 indexed citations
17.
Hayman, G. Thomas, Pushkala Jayaraman, Victoria Petri, et al.. (2013). The updated RGD Pathway Portal utilizes increased curation efficiency and provides expanded pathway information. Human Genomics. 7(1). 4–4. 9 indexed citations
18.
Smith, Jennifer R., Carissa A. Park, Rajni Nigam, et al.. (2013). The clinical measurement, measurement method and experimental condition ontologies: expansion, improvements and new applications. Journal of Biomedical Semantics. 4(1). 26–26. 27 indexed citations
19.
Laulederkind, Stanley J. F., Marek Tutaj, Mary Shimoyama, et al.. (2012). Ontology searching and browsing at the Rat Genome Database. Database. 2012(0). bas016–bas016. 18 indexed citations
20.
Petri, V., G. Thomas Hayman, Jennifer R. Smith, et al.. (2011). The Rat Genome Database Pathway Portal. Database. 2011(0). bar010–bar010. 16 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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