Wasila Dahdul

126 total papers · 2.0k total citations
29 papers, 812 citations indexed

About

Wasila Dahdul is a scholar working on Molecular Biology, Artificial Intelligence and Nature and Landscape Conservation. According to data from OpenAlex, Wasila Dahdul has authored 29 papers receiving a total of 812 indexed citations (citations by other indexed papers that have themselves been cited), including 22 papers in Molecular Biology, 10 papers in Artificial Intelligence and 6 papers in Nature and Landscape Conservation. Recurrent topics in Wasila Dahdul's work include Biomedical Text Mining and Ontologies (20 papers), Genomics and Phylogenetic Studies (15 papers) and Semantic Web and Ontologies (9 papers). Wasila Dahdul is often cited by papers focused on Biomedical Text Mining and Ontologies (20 papers), Genomics and Phylogenetic Studies (15 papers) and Semantic Web and Ontologies (9 papers). Wasila Dahdul collaborates with scholars based in United States, United Kingdom and Canada. Wasila Dahdul's co-authors include Paula Mabee, James P. Balhoff, Hilmar Lapp, John G. Lundberg, Todd Vision, Monte Westerfield, Peter Midford, Melissa Haendel, Michael H. Horn and Chris Mungall and has published in prestigious journals such as PLoS ONE, The Journal of Physiology and Molecular Biology and Evolution.

In The Last Decade

Wasila Dahdul

28 papers receiving 790 citations

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author Last Decade Papers Cites
Wasila Dahdul 575 173 125 110 91 29 812
Philip J. Harrison 116 0.2× 83 0.5× 148 1.2× 133 1.2× 36 0.4× 24 753
Michelle T. Franklin 153 0.3× 39 0.2× 107 0.9× 90 0.8× 295 3.2× 24 1.0k
Christian Mazza 351 0.6× 66 0.4× 42 0.3× 22 0.2× 121 1.3× 44 920
Donald Hobern 215 0.4× 38 0.2× 148 1.2× 414 3.8× 100 1.1× 40 770
Yavor Hadzhiev 710 1.2× 14 0.1× 44 0.4× 10 0.1× 178 2.0× 28 1.0k
Francesc Rosselló 548 1.0× 79 0.5× 63 0.5× 18 0.2× 304 3.3× 67 1.0k
Lars Vogt 310 0.5× 142 0.8× 55 0.4× 40 0.4× 90 1.0× 47 741
Anton Güntsch 249 0.4× 60 0.3× 65 0.5× 293 2.7× 48 0.5× 64 723
Sarah Faulwetter 179 0.3× 96 0.6× 63 0.5× 102 0.9× 82 0.9× 41 952
Yvonne M. Bradford 620 1.1× 52 0.3× 31 0.2× 4 0.0× 192 2.1× 26 937

Countries citing papers authored by Wasila Dahdul

Since Specialization
Citations

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

Fields of papers citing papers by Wasila Dahdul

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Wasila Dahdul

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

All Works

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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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