Haiyan Tan
Impact in
- Cancer Research top 5%
- Cancer-related molecular mechanisms research
- Molecular Biology top 5%
- RNA modifications and cancer
- Metabolomics and Mass Spectrometry Studies
- RNA Research and Splicing
Papers in
-
- Metabolomics and Mass Spectrometry Studies 14
- RNA modifications and cancer 6
- Cancer-related gene regulation 4
- Spectroscopy 14
- Advanced Proteomics Techniques and Applications 12
- Mass Spectrometry Techniques and Applications 12
- Co-authors
- Junmin Peng (36 shared papers)Yuxin Li (13 shared papers)Xusheng Wang (16 shared papers)Hong Wang (5 shared papers)Zhiping Wu (11 shared papers)Michael Berk (5 shared papers)Hongbo Chi (6 shared papers)Cliff Guy (5 shared papers)
- Journals
- Nature Communications (3 papers)Analytical Chemistry (3 papers)Immunity (2 papers)Molecular & Cellular Proteomics (2 papers)IEEE Access (2 papers)
- Partner nations
- United StatesChinaIndia
In The Last Decade
Haiyan Tan
67 papers receiving 3.0k citations
Peers
Comparison fields: 5 of 134
- Cancer Research 415
- Molecular Biology 1.8k
- Immunology 497
- Spectroscopy 317
- Cell Biology 249
Countries citing papers authored by Haiyan Tan
This map shows the geographic impact of Haiyan 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 Haiyan Tan with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Haiyan Tan more than expected).
Fields of papers citing papers by Haiyan Tan
This network shows the impact of papers produced by Haiyan 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 Haiyan Tan. The network helps show where Haiyan Tan may publish in the future.
Co-authors
The 25 scholars most cited alongside Haiyan Tan, 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 69 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2017 | 261 | |
| 2 | 2014 | 186 | |
| 3 | 2007 | 181 | |
| 4 | 2019 | 156 | |
| 5 | 2018 | 141 | |
| 6 | 2014 | 112 | |
| 7 | 2005 | 111 | |
| 8 | 2020 | 103 | |
| 9 | 2019 | 103 | |
| 10 | 2018 | 97 | |
| 11 | 2018 | 87 | |
| 12 | 2011 | 82 | |
| 13 | 2016 | 81 | |
| 14 | 2009 | 78 | |
| 15 | 2020 | 78 | |
| 16 | 2007 | 76 | |
| 17 | 1997 | 68 | |
| 18 | 2014 | 63 | |
| 19 | 2006 | 57 | |
| 20 | 2011 | 56 |
About Haiyan Tan
Haiyan Tan is a scholar working on Molecular Biology, Spectroscopy, Oncology, Immunology and Cancer Research, having authored 69 papers that have together received 3.0k indexed citations. Recurring topics across this work include Metabolomics and Mass Spectrometry Studies (14 papers), Advanced Proteomics Techniques and Applications (12 papers), Mass Spectrometry Techniques and Applications (12 papers), RNA modifications and cancer (6 papers), Neural Networks and Applications (5 papers), Cancer-related gene regulation (4 papers), Autophagy in Disease and Therapy (3 papers) and Cancer, Hypoxia, and Metabolism (3 papers). The work is most often cited by research in Cancer Research (415 citations), Molecular Biology (1.8k citations), Immunology (497 citations), Spectroscopy (317 citations) and Cell Biology (249 citations). Haiyan Tan has collaborated with scholars based in United States, China and India. Frequent co-authors include Junmin Peng, Yuxin Li, Xusheng Wang, Hong Wang, Zhiping Wu, Michael Berk, Hongbo Chi, Cliff Guy, Lisam Shanjukumar Singh and Yan Xu. Their work appears in journals such as Nature Communications, Analytical Chemistry, Immunity, Molecular & Cellular Proteomics and IEEE Access.
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.