Rezarta Islamaj

3.4k total citations · 1 hit paper
43 papers, 2.0k citations indexed

About

Rezarta Islamaj is a scholar working on Molecular Biology, Artificial Intelligence and Genetics. According to data from OpenAlex, Rezarta Islamaj has authored 43 papers receiving a total of 2.0k indexed citations (citations by other indexed papers that have themselves been cited), including 38 papers in Molecular Biology, 26 papers in Artificial Intelligence and 5 papers in Genetics. Recurrent topics in Rezarta Islamaj's work include Biomedical Text Mining and Ontologies (33 papers), Topic Modeling (19 papers) and Semantic Web and Ontologies (7 papers). Rezarta Islamaj is often cited by papers focused on Biomedical Text Mining and Ontologies (33 papers), Topic Modeling (19 papers) and Semantic Web and Ontologies (7 papers). Rezarta Islamaj collaborates with scholars based in United States, Australia and Canada. Rezarta Islamaj's co-authors include Zhiyong Lu, Robert Leaman, Aurélie Névéol, Gabriel Murray, Donald C. Comeau, W. John Wilbur, Lana Yeganova, Sun Kim, Chih-Hsuan Wei and Won Bae Kim and has published in prestigious journals such as Nucleic Acids Research, Bioinformatics and The American Journal of Human Genetics.

In The Last Decade

Rezarta Islamaj

43 papers receiving 1.9k citations

Hit Papers

align trajectories

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.

NCBI disease corpus: A resource for disease name recognition and concept normalization

2014 522 citations Rezarta Islamaj, Robert Leaman et al. Journal of Biomedical Informatics profile →

Peers

Rezarta Islamaj

AI

MB

MSOR

GENET

HI

Robert Leaman United States

Patrick Ruch Switzerland

Antonio Jimeno Yepes Australia

James G. Mork United States

裕二池谷 United States

Naoto Usuyama United States

Francisco M. Couto Portugal

Graciela Rosemblat United States

Kent A. Spackman United States

Isabel Segura-Bédmar Spain

Robert Leaman United States

Rezarta Islamaj

2.6k ×1.9

AI

2.8k ×2.0

MB

137 ×1.1

MSOR

185 ×1.6

GENET

90 ×0.8

HI

Citations per year, relative to Rezarta Islamaj Rezarta Islamaj (= 1×) peers Robert Leaman

Countries citing papers authored by Rezarta Islamaj

Since Specialization

Citations

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

Fields of papers citing papers by Rezarta Islamaj

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Rezarta Islamaj

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

All Works

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20 of 20 papers shown

1.

Islamaj, Rezarta, et al.. (2024). The biomedical relationship corpus of the BioRED track at the BioCreative VIII challenge and workshop. Database. 2024. 1 indexed citations

2.

Islamaj, Rezarta, Chih-Hsuan Wei, Po‐Ting Lai, et al.. (2024). Assessing Artificial Intelligence (AI) Implementation for Assisting Gene Linking (at the National Library of Medicine). JAMIA Open. 8(1). ooae129–ooae129. 2 indexed citations

3.

Wei, Chih-Hsuan, Ling Luo, Rezarta Islamaj, Po‐Ting Lai, & Zhiyong Lu. (2023). GNorm2: an improved gene name recognition and normalization system. Bioinformatics. 39(10). 12 indexed citations

4.

Tian, Shubo, Qiao Jin, Lana Yeganova, et al.. (2023). Opportunities and challenges for ChatGPT and large language models in biomedicine and health. Briefings in Bioinformatics. 25(1). 186 indexed citations

5.

Leaman, Robert, Rezarta Islamaj, Alexis Allot, et al.. (2022). Comprehensively identifying Long Covid articles with human-in-the-loop machine learning. Patterns. 4(1). 100659–100659. 3 indexed citations

6.

Luo, Ling, Chih-Hsuan Wei, Po‐Ting Lai, et al.. (2022). Assigning species information to corresponding genes by a sequence labeling framework. Database. 2022. 3 indexed citations

7.

Islamaj, Rezarta, Robert Leaman, David S. Cissel, et al.. (2022). NLM-Chem-BC7: manually annotated full-text resources for chemical entity annotation and indexing in biomedical articles. Database. 2022. 5 indexed citations

8.

Islamaj, Rezarta, Robert Leaman, Sun Kim, et al.. (2021). NLM-Chem, a new resource for chemical entity recognition in PubMed full text literature. Scientific Data. 8(1). 91–91. 39 indexed citations

9.

Islamaj, Rezarta, et al.. (2021). NLM-Gene, a richly annotated gold standard dataset for gene entities that addresses ambiguity and multi-species gene recognition. Journal of Biomedical Informatics. 118. 103779–103779. 24 indexed citations

10.

Islamaj, Rezarta, Lana Yeganova, W. John Wilbur, et al.. (2021). Evolving use of ancestry, ethnicity, and race in genetics research—A survey spanning seven decades. The American Journal of Human Genetics. 108(12). 2215–2223. 22 indexed citations

11.

Islamaj, Rezarta, Dongseop Kwon, Sun Kim, & Zhiyong Lu. (2020). TeamTat: a collaborative text annotation tool. Nucleic Acids Research. 48(W1). W5–W11. 37 indexed citations

12.

Liu, Wei, Rezarta Islamaj, Deukwoo Kwon, et al.. (2014). BioC implementations in Go, Perl, Python and Ruby. Database. 2014(0). bau059–bau059. 9 indexed citations

13.

Liu, Haibo, et al.. (2014). Natural language processing pipelines to annotate BioC collections with an application to the NCBI disease corpus. Database. 2014(0). bau056–bau056. 7 indexed citations

14.

Liu, Wanli, Rezarta Islamaj, Sun Kim, et al.. (2013). Author name disambiguation for PubMed. Journal of the Association for Information Science and Technology. 65(4). 765–781. 61 indexed citations

15.

Yeganova, Lana, et al.. (2012). Information retrieval and knowledge discovery in biomedical text : papers from the AAAI Fall Symposium. 1 indexed citations

16.

Islamaj, Rezarta & Zhiyong Lu. (2012). An Inference Method for Disease Name Normalization.. National Conference on Artificial Intelligence. 17 indexed citations

17.

Islamaj, Rezarta & Zhiyong Lu. (2012). An improved corpus of disease mentions in PubMed citations. North American Chapter of the Association for Computational Linguistics. 91–99. 51 indexed citations

18.

Névéol, Aurélie, Rezarta Islamaj, & Zhiyong Lu. (2010). Semi-automatic semantic annotation of PubMed queries: A study on quality, efficiency, satisfaction. Journal of Biomedical Informatics. 44(2). 310–318. 74 indexed citations

19.

Islamaj, Rezarta, Lise Getoor, & W. John Wilbur. (2007). Characterizing RNA Secondary-Structure Features and Their Effects on Splice-Site Prediction. 89–94. 2 indexed citations

20.

Zotenko, Elena, Rezarta Islamaj, W. John Wilbur, Dianne P. O’Leary, & Teresa M. Przytycka. (2007). Structural footprinting in protein structure comparison: the impact of structural fragments. BMC Structural Biology. 7(1). 53–53. 6 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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