Munni Begum

20 papers and 316 indexed citations i.

About

Munni Begum is a scholar working on Molecular Biology, Sociology and Political Science and Artificial Intelligence. According to data from OpenAlex, Munni Begum has authored 20 papers receiving a total of 316 indexed citations (citations by other indexed papers that have themselves been cited), including 3 papers in Molecular Biology, 3 papers in Sociology and Political Science and 3 papers in Artificial Intelligence. Recurrent topics in Munni Begum’s work include Physical Activity and Health (3 papers), Bayesian Methods and Mixture Models (2 papers) and Cardiovascular and exercise physiology (2 papers). Munni Begum is often cited by papers focused on Physical Activity and Health (3 papers), Bayesian Methods and Mixture Models (2 papers) and Cardiovascular and exercise physiology (2 papers). Munni Begum collaborates with scholars based in United States, Bangladesh and China. Munni Begum's co-authors include Leigh Belton, Marci K. Campbell, Elizabeth Gerken Hooten, Warren P. Newton, Pamela K. Gonzalez, Morshed Alam, Md. Mobarak Hossain Khan, Pamela Y. Frasier, Alexander H.K. Montoye and Karin A. Pfeiffer and has published in prestigious journals such as BMC Public Health, Yeast and Physiological Measurement.

In The Last Decade

Co-authorship network of co-authors of Munni Begum i

Fields of papers citing papers by Munni Begum

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Munni Begum

Since Specialization
Citations

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

Explore authors with similar magnitude of impact

Rankless by CCL
2025