Mila Tang

16 papers and 344 indexed citations i.

About

Mila Tang is a scholar working on Nephrology, Genetics and Pathology and Forensic Medicine. According to data from OpenAlex, Mila Tang has authored 16 papers receiving a total of 344 indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Nephrology, 3 papers in Genetics and 3 papers in Pathology and Forensic Medicine. Recurrent topics in Mila Tang’s work include Chronic Kidney Disease and Diabetes (4 papers), Parathyroid Disorders and Treatments (4 papers) and Dialysis and Renal Disease Management (3 papers). Mila Tang is often cited by papers focused on Chronic Kidney Disease and Diabetes (4 papers), Parathyroid Disorders and Treatments (4 papers) and Dialysis and Renal Disease Management (3 papers). Mila Tang collaborates with scholars based in Canada, United States and Japan. Mila Tang's co-authors include Adeera Levin, Ognjenka Djurdjev, Victoria J. Cook, J. Mark FitzGerald, Lee Er, Julius Halaschek-Wiener, Kathryn Richardson, Fawziah Marra, Manish M. Sood and Angela Brooks‐Wilson and has published in prestigious journals such as Kidney International, Journal of the American Society of Nephrology and Nephrology Dialysis Transplantation.

In The Last Decade

Co-authorship network of co-authors of Mila Tang i

Fields of papers citing papers by Mila Tang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Mila Tang

Since Specialization
Citations

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