Muhammad Arif

30 papers and 667 indexed citations i.

About

Muhammad Arif is a scholar working on Molecular Biology, Computational Theory and Mathematics and Microbiology. According to data from OpenAlex, Muhammad Arif has authored 30 papers receiving a total of 667 indexed citations (citations by other indexed papers that have themselves been cited), including 25 papers in Molecular Biology, 4 papers in Computational Theory and Mathematics and 4 papers in Microbiology. Recurrent topics in Muhammad Arif’s work include Machine Learning in Bioinformatics (22 papers), RNA and protein synthesis mechanisms (15 papers) and Genomics and Phylogenetic Studies (9 papers). Muhammad Arif is often cited by papers focused on Machine Learning in Bioinformatics (22 papers), RNA and protein synthesis mechanisms (15 papers) and Genomics and Phylogenetic Studies (9 papers). Muhammad Arif collaborates with scholars based in China, Pakistan and Qatar. Muhammad Arif's co-authors include Dong‐Jun Yu, Muhammad Kabir, Fang Ge, Farman Ali, Maqsood Hayat, Zahoor Jan, Saeed Ahmed, Zar Nawab Khan Swati, Saeed Ahmad and Zaheer Ullah Khan and has published in prestigious journals such as Analytical Biochemistry, Scientific Reports and BMC Bioinformatics.

In The Last Decade

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

Fields of papers citing papers by Muhammad Arif

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Muhammad Arif

Since Specialization
Citations

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