Long Tan

79 papers and 964 indexed citations i.

About

Long Tan is a scholar working on Endocrinology, Diabetes and Metabolism, Molecular Biology and Pathology and Forensic Medicine. According to data from OpenAlex, Long Tan has authored 79 papers receiving a total of 964 indexed citations (citations by other indexed papers that have themselves been cited), including 33 papers in Endocrinology, Diabetes and Metabolism, 15 papers in Molecular Biology and 8 papers in Pathology and Forensic Medicine. Recurrent topics in Long Tan’s work include Thyroid Disorders and Treatments (32 papers), Thyroid Cancer Diagnosis and Treatment (21 papers) and Vitamin D Research Studies (8 papers). Long Tan is often cited by papers focused on Thyroid Disorders and Treatments (32 papers), Thyroid Cancer Diagnosis and Treatment (21 papers) and Vitamin D Research Studies (8 papers). Long Tan collaborates with scholars based in China, United States and Japan. Long Tan's co-authors include Wanqi Zhang, Jun Shen, Wen Chen, Hua Jin, Elizabeth N. Pearce, Wei Pang, Fuqiang Dai, Hongpeng Yang, Nan Song and Hongyan Wei and has published in prestigious journals such as PLoS ONE, American Journal of Clinical Nutrition and Scientific Reports.

In The Last Decade

Co-authorship network of co-authors of Long Tan i

Fields of papers citing papers by Long Tan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Long Tan

Since Specialization
Citations

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