Muhammad Shaban

46 papers and 2.6k indexed citations i.

About

Muhammad Shaban is a scholar working on Plant Science, Artificial Intelligence and Molecular Biology. According to data from OpenAlex, Muhammad Shaban has authored 46 papers receiving a total of 2.6k indexed citations (citations by other indexed papers that have themselves been cited), including 18 papers in Plant Science, 16 papers in Artificial Intelligence and 10 papers in Molecular Biology. Recurrent topics in Muhammad Shaban’s work include AI in cancer detection (16 papers), Plant-Microbe Interactions and Immunity (11 papers) and Radiomics and Machine Learning in Medical Imaging (8 papers). Muhammad Shaban is often cited by papers focused on AI in cancer detection (16 papers), Plant-Microbe Interactions and Immunity (11 papers) and Radiomics and Machine Learning in Medical Imaging (8 papers). Muhammad Shaban collaborates with scholars based in China, Pakistan and United States. Muhammad Shaban's co-authors include Nasir Rajpoot, Abid Ullah, Aamir Hamid Khan, Syed Ali Khurram, Longfu Zhu, Hakim Manghwar, Adnan Akbar, Faisal Mahmood, Richard J. Chen and Drew F. K. Williamson and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Nature Medicine and Nature Communications.

In The Last Decade

Co-authorship network of co-authors of Muhammad Shaban i

Fields of papers citing papers by Muhammad Shaban

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Muhammad Shaban

Since Specialization
Citations

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