Gau‐Jun Tang

59 total papers · 1.2k total citations
41 papers, 888 citations indexed

About

Gau‐Jun Tang is a scholar working on Epidemiology, Critical Care and Intensive Care Medicine and Pulmonary and Respiratory Medicine. According to data from OpenAlex, Gau‐Jun Tang has authored 41 papers receiving a total of 888 indexed citations (citations by other indexed papers that have themselves been cited), including 10 papers in Epidemiology, 8 papers in Critical Care and Intensive Care Medicine and 7 papers in Pulmonary and Respiratory Medicine. Recurrent topics in Gau‐Jun Tang's work include Sepsis Diagnosis and Treatment (6 papers), Neuroscience of respiration and sleep (4 papers) and Neuropeptides and Animal Physiology (3 papers). Gau‐Jun Tang is often cited by papers focused on Sepsis Diagnosis and Treatment (6 papers), Neuroscience of respiration and sleep (4 papers) and Neuropeptides and Animal Physiology (3 papers). Gau‐Jun Tang collaborates with scholars based in Taiwan, China and United States. Gau‐Jun Tang's co-authors include Yu Ru Kou, Huey-Wen Yien, Shih-Chieh Chang, Yuh-Lin Wu, Tzong‐Shyuan Lee, Tzuo-Yun Lan, Wing‐Yiu Lui, Chew-Wun Wu, Jen-Hwey Chiu and Chin‐Wen Chi and has published in prestigious journals such as SHILAP Revista de lepidopterología, PLoS ONE and Free Radical Biology and Medicine.

In The Last Decade

Gau‐Jun Tang

41 papers receiving 860 citations

Author Peers

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

Author Last Decade Papers Cites
Gau‐Jun Tang 237 196 158 143 131 41 888
Guan J Liu 127 0.5× 138 0.7× 149 0.9× 91 0.6× 69 0.5× 39 1.0k
Rossella Marino 353 1.5× 199 1.0× 86 0.5× 116 0.8× 133 1.0× 34 1.0k
Andrzej Kübler 330 1.4× 165 0.8× 114 0.7× 70 0.5× 71 0.5× 59 916
Matthias Gründling 406 1.7× 196 1.0× 147 0.9× 50 0.3× 75 0.6× 68 916
Bernardo Bollen Pinto 227 1.0× 140 0.7× 131 0.8× 176 1.2× 54 0.4× 61 827
Peter Walger 204 0.9× 183 0.9× 91 0.6× 53 0.4× 98 0.7× 43 965
Oded Szold 168 0.7× 262 1.3× 135 0.9× 87 0.6× 62 0.5× 40 978
Yi Li 207 0.9× 134 0.7× 122 0.8× 126 0.9× 93 0.7× 71 819
Jean-Pierre Mallié 145 0.6× 131 0.7× 218 1.4× 150 1.0× 40 0.3× 24 784
Nicolas Nesseler 308 1.3× 204 1.0× 196 1.2× 117 0.8× 103 0.8× 47 960

Countries citing papers authored by Gau‐Jun Tang

Since Specialization
Citations

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

Fields of papers citing papers by Gau‐Jun Tang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Gau‐Jun Tang

This figure shows the co-authorship network connecting the top 25 collaborators of Gau‐Jun Tang. A scholar is included among the top collaborators of Gau‐Jun Tang 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 Gau‐Jun Tang. Gau‐Jun Tang 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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