Mahmut Uludağ

3.8k total citations · 2 hit papers
24 papers, 2.4k citations indexed

About

Mahmut Uludağ is a scholar working on Molecular Biology, Computational Theory and Mathematics and Information Systems and Management. According to data from OpenAlex, Mahmut Uludağ has authored 24 papers receiving a total of 2.4k indexed citations (citations by other indexed papers that have themselves been cited), including 20 papers in Molecular Biology, 4 papers in Computational Theory and Mathematics and 2 papers in Information Systems and Management. Recurrent topics in Mahmut Uludağ's work include Biomedical Text Mining and Ontologies (8 papers), Bioinformatics and Genomic Networks (7 papers) and Genomics and Phylogenetic Studies (6 papers). Mahmut Uludağ is often cited by papers focused on Biomedical Text Mining and Ontologies (8 papers), Bioinformatics and Genomic Networks (7 papers) and Genomics and Phylogenetic Studies (6 papers). Mahmut Uludağ collaborates with scholars based in Saudi Arabia, United Kingdom and Serbia. Mahmut Uludağ's co-authors include Hamish McWilliam, Rodrigo López, Nicola Buso, Silvano Squizzato, Weizhong Li, Young Mi Park, Tamer Gür, Magbubah Essack, Inge Jonassen and James Malone and has published in prestigious journals such as Nucleic Acids Research, SHILAP Revista de lepidopterología and Bioinformatics.

In The Last Decade

Mahmut Uludağ

23 papers receiving 2.4k citations

Hit Papers

Analysis Tool Web Services from the EMBL-EBI 2013 2026 2017 2021 2013 2015 400 800 1.2k
What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

  1. Analysis Tool Web Services from the EMBL-EBI
    2013 1.3k citations Hamish McWilliam, Weizhong Li et al. Nucleic Acids Research profile →
  2. The EMBL-EBI bioinformatics web and programmatic tools framework
    2015 791 citations Weizhong Li, Mahmut Uludağ et al. Nucleic Acids Research profile →

Peers

Mahmut Uludağ
Prachi Shah United States
Christophe Blanchet France
Christina Ludwig Germany
Jia‐Ming Chang Taiwan
Petra Langendijk-Genevaux Switzerland
Sébastien Moretti Switzerland
Nicolas Hulo Switzerland
Aleksandr Morgulis United States
Helena Rasche Germany
Alexandre Gattiker Switzerland
Prachi Shah United States
Mahmut Uludağ
Citations per year, relative to Mahmut Uludağ Mahmut Uludağ (= 1×) peers Prachi Shah

Countries citing papers authored by Mahmut Uludağ

Since Specialization
Citations

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

Fields of papers citing papers by Mahmut Uludağ

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Mahmut Uludağ

This figure shows the co-authorship network connecting the top 25 collaborators of Mahmut Uludağ. A scholar is included among the top collaborators of Mahmut Uludağ 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 Mahmut Uludağ. Mahmut Uludağ 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.
Álam, Intikhab, Mahmut Uludağ, Tahira Jamil, et al.. (2024). Metagenomic probing toward an atlas of the taxonomic and metabolic foundations of the global ocean genome. SHILAP Revista de lepidopterología. 1. 13 indexed citations
2.
Uludağ, Mahmut, Roberto Incitti, Xin Gao, et al.. (2024). Global surveillance of emerging SARS-CoV-2 variants. Bulletin of the World Health Organization. 102(6). 374–374A. 3 indexed citations
3.
Thafar, Maha A., Somayah Albaradei, Mahmut Uludağ, et al.. (2023). OncoRTT: Predicting novel oncology-related therapeutic targets using BERT embeddings and omics features. Frontiers in Genetics. 14. 1139626–1139626. 4 indexed citations
4.
Kafkas, Şenay, et al.. (2023). Starvar: symptom-based tool for automatic ranking of variants using evidence from literature and genomes. BMC Bioinformatics. 24(1). 3 indexed citations
5.
Albaradei, Somayah, Asim Alsaedi, Mahmut Uludağ, et al.. (2022). MetastaSite: Predicting metastasis to different sites using deep learning with gene expression data. Frontiers in Molecular Biosciences. 9. 913602–913602. 6 indexed citations
6.
Bajić, Vladan, Adil Salhi, Katja Lakota, et al.. (2022). DES-Amyloidoses “Amyloidoses through the looking-glass”: A knowledgebase developed for exploring and linking information related to human amyloid-related diseases. PLoS ONE. 17(7). e0271737–e0271737. 1 indexed citations
7.
Alshahrani, Mona, Abdullah Almansour, Maha A. Thafar, et al.. (2022). Combining biomedical knowledge graphs and text to improve predictions for drug-target interactions and drug-indications. PeerJ. 10. e13061–e13061. 6 indexed citations
8.
Albaradei, Somayah, Mahmut Uludağ, Maha A. Thafar, et al.. (2021). Predicting Bone Metastasis Using Gene Expression-Based Machine Learning Models. Frontiers in Genetics. 12. 771092–771092. 11 indexed citations
9.
Alsaieedi, Ahdab, Adil Salhi, Arwa Bin Raies, et al.. (2021). DES-Tcell is a knowledgebase for exploring immunology-related literature. Scientific Reports. 11(1). 14344–14344. 3 indexed citations
10.
Albaradei, Somayah, Arturo Magana-Mora, Maha A. Thafar, et al.. (2020). Splice2Deep: An ensemble of deep convolutional neural networks for improved splice site prediction in genomic DNA. Gene. 763. 100035–100035. 29 indexed citations
11.
Albaradei, Somayah, Francesco Napolitano, Mahmut Uludağ, et al.. (2020). Automated Counting of Colony Forming Units Using Deep Transfer Learning From a Model for Congested Scenes Analysis. IEEE Access. 8. 164340–164346. 9 indexed citations
12.
Essack, Magbubah, Adil Salhi, Christophe Van Neste, et al.. (2020). DES-ROD: Exploring Literature to Develop New Links between RNA Oxidation and Human Diseases. Oxidative Medicine and Cellular Longevity. 2020. 1–13. 2 indexed citations
13.
Albalawi, Fahad, Xingang Guo, Somayah Albaradei, et al.. (2019). Hybrid model for efficient prediction of poly(A) signals in human genomic DNA. Methods. 166. 31–39. 19 indexed citations
14.
Salhi, Adil, Rozaimi Razali, Aleksandar Radovanović, et al.. (2018). DES-Mutation: System for Exploring Links of Mutations and Diseases. Scientific Reports. 8(1). 13359–13359. 13 indexed citations
15.
Alam, Tanvir, Mahmut Uludağ, Magbubah Essack, et al.. (2016). FARNA: knowledgebase of inferred functions of non-coding RNA transcripts. Nucleic Acids Research. 45(5). gkw973–gkw973. 29 indexed citations
16.
Squizzato, Silvano, Young Mi Park, Nicola Buso, et al.. (2015). The EBI Search engine: providing search and retrieval functionality for biological data from EMBL-EBI. Nucleic Acids Research. 43(W1). W585–W588. 27 indexed citations
17.
Li, Weizhong, Mahmut Uludağ, Tamer Gür, et al.. (2015). The EMBL-EBI bioinformatics web and programmatic tools framework. Nucleic Acids Research. 43(W1). W580–W584. 791 indexed citations breakdown →
18.
McWilliam, Hamish, Weizhong Li, Mahmut Uludağ, et al.. (2013). Analysis Tool Web Services from the EMBL-EBI. Nucleic Acids Research. 41(W1). W597–W600. 1304 indexed citations breakdown →
19.
Tolun, Mehmet R., Hayri Sever, & Mahmut Uludağ. (2007). ILA-2: An Inductive Learning Algorithm over uncertain data.
20.
Rice, Peter, et al.. (2006). EMBRACE: Bioinformatics Data and Analysis Tool Services for e-Science. 146–146. 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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