Journal of Diabetes Research

2.5k papers and 60.8k indexed citations i.

About

The 2.5k papers published in Journal of Diabetes Research in the last decades have received a total of 60.8k indexed citations. Papers published in Journal of Diabetes Research usually cover Endocrinology, Diabetes and Metabolism (1.0k papers), Molecular Biology (590 papers) and Surgery (574 papers) specifically the topics of Pancreatic Islet Dysfunction and Regeneration (370 papers), Diabetes Management and Research (316 papers) and Diabetes and associated disorders (264 papers). The most active scholars publishing in Journal of Diabetes Research are Timothy S. Kern, Mara Lorenzi, Liang‐Jun Yan, Anjaneyulu Kowluru, Pooi-See Chan, Ahlke Heydemann, Joseph Larner, G. Kesava Reddy, Chaoxun Wang and S. Banerjee.

In The Last Decade

Fields of papers published in Journal of Diabetes Research

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers published in Journal of Diabetes Research. 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 Journal of Diabetes Research.

Countries where authors publish in Journal of Diabetes Research

Since Specialization
Citations

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