Diabetes & Metabolism Journal

1000 papers and 23.1k indexed citations i.

About

The 1000 papers published in Diabetes & Metabolism Journal in the last decades have received a total of 23.1k indexed citations. Papers published in Diabetes & Metabolism Journal usually cover Endocrinology, Diabetes and Metabolism (518 papers), Molecular Biology (232 papers) and Surgery (232 papers) specifically the topics of Diabetes Treatment and Management (203 papers), Diabetes Management and Research (184 papers) and Diabetes, Cardiovascular Risks, and Lipoproteins (158 papers). The most active scholars publishing in Diabetes & Metabolism Journal are Cheol‐Young Park, Dae Jung Kim, Klaus G. Parhofer, Hak Chul Jang, Sang Woo Oh, Sunghwan Suh, Jae Hyeon Kim, Jun Goo Kang, Hayley M. O’Neill and Byung‐Wan Lee.

In The Last Decade

Fields of papers published in Diabetes & Metabolism Journal

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers published in Diabetes & Metabolism Journal. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers published in Diabetes & Metabolism Journal.

Countries where authors publish in Diabetes & Metabolism Journal

Since Specialization
Citations

This map shows the geographic impact of research published in Diabetes & Metabolism Journal. 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 papers published in Diabetes & Metabolism Journal with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Diabetes & Metabolism Journal 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