Gau‐Jun Tang
Impact in
- Nephrology top 5%
- Gout, Hyperuricemia, Uric Acid
Papers in
- Epidemiology 10
- Sepsis Diagnosis and Treatment 6
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- Intensive Care Unit Cognitive Disorders 3
- Co-authors
- Yu Ru Kou (8 shared papers)Huey-Wen Yien (4 shared papers)Shih-Chieh Chang (4 shared papers)Tzong‐Shyuan Lee (4 shared papers)Yuh-Lin Wu (4 shared papers)Tzuo-Yun Lan (4 shared papers)Wing‐Yiu Lui (1 shared paper)Song‐Lih Huang (1 shared paper)
- Journals
- Critical Care Medicine (4 papers)Acta Anaesthesiologica Scandinavica (2 papers)PLoS ONE (2 papers)Clinical Journal of the American Society of Nephrology (1 paper)Diseases of the Colon & Rectum (1 paper)
- Partner nations
- TaiwanChinaUnited States
In The Last Decade
Gau‐Jun Tang
41 papers receiving 863 citations
Peers
Comparison fields: 5 of 112
- Critical Care and Intensive Care Medicine 84
- Nephrology 107
- Epidemiology 237
- Emergency Medicine 63
- Immunology 131
Countries citing papers authored by Gau‐Jun Tang
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
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-authors
The 25 scholars most cited alongside Gau‐Jun Tang, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 41 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2000 | 141 | |
| 2 | 2015 | 79 | |
| 3 | 2011 | 62 | |
| 4 | 2009 | 49 | |
| 5 | 2011 | 45 | |
| 6 | 1996 | 43 | |
| 7 | 1999 | 43 | |
| 8 | 1999 | 33 | |
| 9 | 2008 | 30 | |
| 10 | 2013 | 28 | |
| 11 | 1998 | 28 | |
| 12 | 1998 | 26 | |
| 13 | 2015 | 21 | |
| 14 | 2011 | 21 | |
| 15 | 2001 | 21 | |
| 16 | 2012 | 20 | |
| 17 | 2005 | 18 | |
| 18 | 2013 | 17 | |
| 19 | 2014 | 16 | |
| 20 | 2008 | 16 |
About Gau‐Jun Tang
Gau‐Jun Tang is a scholar working on Epidemiology, Critical Care and Intensive Care Medicine, Pulmonary and Respiratory Medicine, Surgery and Cardiology and Cardiovascular Medicine, having authored 41 papers that have together received 890 indexed citations. Recurring topics across this work include Sepsis Diagnosis and Treatment (6 papers), Neuroscience of respiration and sleep (4 papers), Intensive Care Unit Cognitive Disorders (3 papers), Asthma and respiratory diseases (3 papers), Cardiac, Anesthesia and Surgical Outcomes (3 papers), Anesthesia and Sedative Agents (3 papers), Respiratory Support and Mechanisms (3 papers) and Neuropeptides and Animal Physiology (3 papers). The work is most often cited by research in Critical Care and Intensive Care Medicine (84 citations), Nephrology (107 citations), Epidemiology (237 citations), Emergency Medicine (63 citations) and Immunology (131 citations). Gau‐Jun Tang has collaborated with scholars based in Taiwan, China and United States. Frequent co-authors include Yu Ru Kou, Huey-Wen Yien, Shih-Chieh Chang, Tzong‐Shyuan Lee, Yuh-Lin Wu, Tzuo-Yun Lan, Wing‐Yiu Lui, Song‐Lih Huang, Chew-Wun Wu and Jen-Hwey Chiu. Their work appears in journals such as Critical Care Medicine, Acta Anaesthesiologica Scandinavica, PLoS ONE, Clinical Journal of the American Society of Nephrology and Diseases of the Colon & Rectum.
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.