Hao Tang
Impact in
- Clinical Biochemistry top 2%
- Metabolism and Genetic Disorders
- Physiology top 5%
- Smoking Behavior and Cessation
- Lysosomal Storage Disorders Research
Papers in
-
- Gut microbiota and health 9
- Circular RNAs in diseases 6
- Oncology 15
- Cancer Immunotherapy and Biomarkers 10
- Co-authors
- David W. Cowling (6 shared papers)Moon S. Chen (3 shared papers)Jon C. Lloyd (3 shared papers)LeaVonne Pulley (1 shared paper)Lorraine V. Klerman (1 shared paper)Beth A. Baker (1 shared paper)Xueying Zhang (1 shared paper)Robert J. Currier (5 shared papers)
- Journals
- International Journal of Neonatal Screening (5 papers)Tobacco Control (4 papers)American Journal of Preventive Medicine (2 papers)Genetics in Medicine (2 papers)Nicotine & Tobacco Research (2 papers)
- Partner nations
- ChinaUnited StatesUnited Kingdom
In The Last Decade
Hao Tang
63 papers receiving 1.2k citations
Peers
Comparison fields: 5 of 111
- Clinical Biochemistry 198
- Physiology 407
- Speech and Hearing 62
- Applied Psychology 45
- Cancer Research 117
Countries citing papers authored by Hao Tang
This map shows the geographic impact of Hao 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 Hao Tang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Hao Tang more than expected).
Fields of papers citing papers by Hao Tang
This network shows the impact of papers produced by Hao 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 Hao Tang. The network helps show where Hao Tang may publish in the future.
Co-authors
The 25 scholars most cited alongside Hao 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 72 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2014 | 100 | |
| 2 | 2003 | 97 | |
| 3 | 2002 | 97 | |
| 4 | 2005 | 72 | |
| 5 | 2010 | 67 | |
| 6 | 2012 | 44 | |
| 7 | 2020 | 41 | |
| 8 | 2019 | 38 | |
| 9 | 2020 | 38 | |
| 10 | 2004 | 35 | |
| 11 | 2009 | 32 | |
| 12 | 2007 | 30 | |
| 13 | 2021 | 29 | |
| 14 | 2020 | 28 | |
| 15 | 2020 | 28 | |
| 16 | 2021 | 28 | |
| 17 | 2022 | 24 | |
| 18 | 2020 | 24 | |
| 19 | 2007 | 23 | |
| 20 | 2018 | 22 |
About Hao Tang
Hao Tang is a scholar working on Molecular Biology, Oncology, Cancer Research, Physiology and Surgery, having authored 72 papers that have together received 1.2k indexed citations. Recurring topics across this work include Cancer Immunotherapy and Biomarkers (10 papers), Gut microbiota and health (9 papers), Smoking Behavior and Cessation (8 papers), Metabolism and Genetic Disorders (7 papers), Circular RNAs in diseases (6 papers), Cancer-related molecular mechanisms research (6 papers), Clostridium difficile and Clostridium perfringens research (5 papers) and MicroRNA in disease regulation (5 papers). The work is most often cited by research in Clinical Biochemistry (198 citations), Physiology (407 citations), Speech and Hearing (62 citations), Applied Psychology (45 citations) and Cancer Research (117 citations). Hao Tang has collaborated with scholars based in China, United States and United Kingdom. Frequent co-authors include David W. Cowling, Moon S. Chen, Jon C. Lloyd, LeaVonne Pulley, Lorraine V. Klerman, Beth A. Baker, Xueying Zhang, Robert J. Currier, Lisa Feuchtbaum and Piero Rinaldo. Their work appears in journals such as International Journal of Neonatal Screening, Tobacco Control, American Journal of Preventive Medicine, Genetics in Medicine and Nicotine & Tobacco Research.
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.