Gerry H. Tan

18 total papers · 1.5k total citations
15 papers, 1.1k citations indexed

About

Gerry H. Tan is a scholar working on Endocrinology, Diabetes and Metabolism, Surgery and Molecular Biology. According to data from OpenAlex, Gerry H. Tan has authored 15 papers receiving a total of 1.1k indexed citations (citations by other indexed papers that have themselves been cited), including 12 papers in Endocrinology, Diabetes and Metabolism, 3 papers in Surgery and 3 papers in Molecular Biology. Recurrent topics in Gerry H. Tan's work include Thyroid Cancer Diagnosis and Treatment (4 papers), Thyroid Disorders and Treatments (3 papers) and Diabetes Management and Research (3 papers). Gerry H. Tan is often cited by papers focused on Thyroid Cancer Diagnosis and Treatment (4 papers), Thyroid Disorders and Treatments (3 papers) and Diabetes Management and Research (3 papers). Gerry H. Tan collaborates with scholars based in United States, Taiwan and Brazil. Gerry H. Tan's co-authors include Antônio Roberto Chacra, Shoba Ravichandran, Roland Chen, James F. List, Roger Nelson, Clive S. Grant, William F. Young, J. Aidan Carney, Kinji Ohno and Lewis R. Roberts and has published in prestigious journals such as Annals of Internal Medicine, Annals of Neurology and Mayo Clinic Proceedings.

In The Last Decade

Gerry H. Tan

14 papers receiving 1.1k citations

Hit Papers

Thyroid Incidentalomas: M... 1997 2026 2006 2016 1997 250 500 750

Author Peers

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

Author Last Decade Papers Cites
Gerry H. Tan 1.0k 628 136 113 103 15 1.1k
Roberta Rinaldi 1.3k 1.3× 976 1.6× 167 1.2× 158 1.4× 167 1.6× 17 1.5k
P Vitti 1.2k 1.2× 688 1.1× 134 1.0× 123 1.1× 124 1.2× 28 1.3k
Woung Youn Chung 1.1k 1.1× 895 1.4× 196 1.4× 101 0.9× 140 1.4× 23 1.3k
Ian D. Hay 1.3k 1.3× 910 1.4× 194 1.4× 126 1.1× 159 1.5× 23 1.4k
Steve Colley 819 0.8× 673 1.1× 208 1.5× 118 1.0× 117 1.1× 16 1.2k
Jean Paul Travagli 1.0k 1.0× 912 1.5× 159 1.2× 141 1.2× 95 0.9× 11 1.2k
Laura Moss 979 1.0× 605 1.0× 188 1.4× 142 1.3× 133 1.3× 16 1.2k
S Guth 635 0.6× 669 1.1× 195 1.4× 62 0.5× 107 1.0× 15 1.1k
Francesco Boi 790 0.8× 427 0.7× 92 0.7× 167 1.5× 97 0.9× 41 1.1k
Hye‐Seon Oh 1.2k 1.2× 767 1.2× 119 0.9× 116 1.0× 177 1.7× 36 1.4k

Countries citing papers authored by Gerry H. Tan

Since Specialization
Citations

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

Fields of papers citing papers by Gerry H. Tan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Gerry H. Tan

This figure shows the co-authorship network connecting the top 25 collaborators of Gerry H. Tan. A scholar is included among the top collaborators of Gerry H. 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 Gerry H. Tan. Gerry H. 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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