Sumaiya Iqbal

34 papers and 579 indexed citations i.

About

Sumaiya Iqbal is a scholar working on Molecular Biology, Genetics and Artificial Intelligence. According to data from OpenAlex, Sumaiya Iqbal has authored 34 papers receiving a total of 579 indexed citations (citations by other indexed papers that have themselves been cited), including 28 papers in Molecular Biology, 15 papers in Genetics and 5 papers in Artificial Intelligence. Recurrent topics in Sumaiya Iqbal’s work include Machine Learning in Bioinformatics (14 papers), Genomics and Rare Diseases (12 papers) and Protein Structure and Dynamics (9 papers). Sumaiya Iqbal is often cited by papers focused on Machine Learning in Bioinformatics (14 papers), Genomics and Rare Diseases (12 papers) and Protein Structure and Dynamics (9 papers). Sumaiya Iqbal collaborates with scholars based in United States, Germany and Luxembourg. Sumaiya Iqbal's co-authors include Md Tamjidul Hoque, M. Sohel Rahman, Dennis Lal, Heather E. Olson, Helen Leonard, Lindsay C. Swanson, J. Helen Cross, Tim A. Benke, Scott Demarest and Elia Pestana‐Knight and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Nucleic Acids Research and Bioinformatics.

In The Last Decade

Co-authorship network of co-authors of Sumaiya Iqbal i

Fields of papers citing papers by Sumaiya Iqbal

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Sumaiya Iqbal

Since Specialization
Citations

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

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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