Mondy Hikmat

2 papers and 10 indexed citations i.

About

Mondy Hikmat is a scholar working on Molecular Biology, Epidemiology and Rheumatology. According to data from OpenAlex, Mondy Hikmat has authored 2 papers receiving a total of 10 indexed citations (citations by other indexed papers that have themselves been cited), including 1 paper in Molecular Biology, 1 paper in Epidemiology and 1 paper in Rheumatology. Recurrent topics in Mondy Hikmat’s work include Plant Reproductive Biology (1 paper), Soft tissue tumor case studies (1 paper) and IgG4-Related and Inflammatory Diseases (1 paper). Mondy Hikmat is often cited by papers focused on Plant Reproductive Biology (1 paper), Soft tissue tumor case studies (1 paper) and IgG4-Related and Inflammatory Diseases (1 paper). Mondy Hikmat collaborates with scholars based in United Kingdom. Mondy Hikmat's co-authors include Samson O Oyibo, Soo‐Mi Park and Jane MacDougall and has published in prestigious journals such as Endocrinology Diabetes and Metabolism Case Reports.

In The Last Decade

Co-authorship network of co-authors of Mondy Hikmat i

Fields of papers citing papers by Mondy Hikmat

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Mondy Hikmat

Since Specialization
Citations

This map shows the geographic impact of Mondy Hikmat'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 Mondy Hikmat with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Mondy Hikmat 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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2025