Tam Dang‐Tan

29 total papers · 1.2k total citations
27 papers, 869 citations indexed

About

Tam Dang‐Tan is a scholar working on Endocrinology, Diabetes and Metabolism, Molecular Biology and Pulmonary and Respiratory Medicine. According to data from OpenAlex, Tam Dang‐Tan has authored 27 papers receiving a total of 869 indexed citations (citations by other indexed papers that have themselves been cited), including 17 papers in Endocrinology, Diabetes and Metabolism, 8 papers in Molecular Biology and 8 papers in Pulmonary and Respiratory Medicine. Recurrent topics in Tam Dang‐Tan's work include Diabetes Treatment and Management (16 papers), Diabetes Management and Research (11 papers) and Metabolism, Diabetes, and Cancer (8 papers). Tam Dang‐Tan is often cited by papers focused on Diabetes Treatment and Management (16 papers), Diabetes Management and Research (11 papers) and Metabolism, Diabetes, and Cancer (8 papers). Tam Dang‐Tan collaborates with scholars based in United States, Canada and Denmark. Tam Dang‐Tan's co-authors include Eduardo L. Franco, Diane Nault, Jean Bourbeau, Ronald D. Barr, Brian Bekker Hansen, Mark Greenberg, Helen Trottier, Leslie S. Mery, Howard Morrison and Sarah Ali and has published in prestigious journals such as SHILAP Revista de lepidopterología, Cancer and Diabetes.

In The Last Decade

Tam Dang‐Tan

27 papers receiving 847 citations

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author Last Decade Papers Cites
Tam Dang‐Tan 272 259 247 217 137 27 869
Alfred J. Pennisi 122 0.4× 278 1.1× 93 0.4× 179 0.8× 72 0.5× 41 977
Henry Kilham 245 0.9× 311 1.2× 45 0.2× 167 0.8× 48 0.4× 49 911
Anna Francis 107 0.4× 125 0.5× 57 0.2× 139 0.6× 66 0.5× 49 1.0k
Jacek Polański 189 0.7× 122 0.5× 87 0.4× 113 0.5× 141 1.0× 44 888
Mona Okasha 67 0.2× 352 1.4× 168 0.7× 266 1.2× 77 0.6× 28 984
Yuxiu Liu 161 0.6× 92 0.4× 200 0.8× 88 0.4× 55 0.4× 36 1.0k
Louise S. Conwell 70 0.3× 107 0.4× 408 1.7× 195 0.9× 62 0.5× 40 1.0k
James Heyward 64 0.2× 56 0.2× 162 0.7× 350 1.6× 204 1.5× 23 931
Marisa A. Bittoni 234 0.9× 66 0.3× 115 0.5× 83 0.4× 122 0.9× 36 857
Dohee Lim 62 0.2× 96 0.4× 115 0.5× 189 0.9× 140 1.0× 17 772

Countries citing papers authored by Tam Dang‐Tan

Since Specialization
Citations

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

Fields of papers citing papers by Tam Dang‐Tan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Tam Dang‐Tan

This figure shows the co-authorship network connecting the top 25 collaborators of Tam Dang‐Tan. A scholar is included among the top collaborators of Tam Dang‐Tan based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Tam Dang‐Tan. Tam Dang‐Tan is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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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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