Wei‐Ting Wang
Impact in
- Analytical Chemistry top 0.5%
- Spectroscopy and Chemometric Analyses
- Biophysics top 1%
- Spectroscopy Techniques in Biomedical and Chemical Research
Papers in
-
- Kruppel-like factors research 6
- Hematology 29
- Blood groups and transfusion 14
- Hematopoietic Stem Cell Transplantation 7
- Co-authors
- Yi‐Zeng Liang (5 shared papers)Yong‐Huan Yun (8 shared papers)Baichuan Deng (4 shared papers)Dongsheng Cao (3 shared papers)Hongmei Lü (2 shared papers)Qing‐Song Xu (2 shared papers)Yan‐Hwa Wu Lee (4 shared papers)Tsung‐Yuan Tsai (4 shared papers)
- Journals
- Scientific Reports (6 papers)Journal of Clinical Medicine (6 papers)Analytica Chimica Acta (4 papers)Clinica Chimica Acta (3 papers)Biomedicines (3 papers)
- Partner nations
- TaiwanChinaUnited States
In The Last Decade
Wei‐Ting Wang
147 papers receiving 2.4k citations
Peers
Comparison fields: 5 of 149
- Analytical Chemistry 575
- Biophysics 221
- Industrial and Manufacturing Engineering 202
- Genetics 195
- Hematology 198
Countries citing papers authored by Wei‐Ting Wang
This map shows the geographic impact of Wei‐Ting Wang'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 Wei‐Ting Wang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Wei‐Ting Wang more than expected).
Fields of papers citing papers by Wei‐Ting Wang
This network shows the impact of papers produced by Wei‐Ting Wang. 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 Wei‐Ting Wang. The network helps show where Wei‐Ting Wang may publish in the future.
Co-authors
The 25 scholars most cited alongside Wei‐Ting Wang, 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 159 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2013 | 208 | |
| 2 | 2016 | 178 | |
| 3 | 2014 | 178 | |
| 4 | 2010 | 169 | |
| 5 | 2011 | 169 | |
| 6 | 2011 | 63 | |
| 7 | 2019 | 57 | |
| 8 | 2009 | 52 | |
| 9 | 1998 | 51 | |
| 10 | 2015 | 50 | |
| 11 | 2019 | 50 | |
| 12 | 2021 | 44 | |
| 13 | 2020 | 44 | |
| 14 | 2020 | 41 | |
| 15 | 2023 | 34 | |
| 16 | 2016 | 32 | |
| 17 | 2017 | 31 | |
| 18 | 2017 | 30 | |
| 19 | 2010 | 29 | |
| 20 | 2021 | 26 |
About Wei‐Ting Wang
Wei‐Ting Wang is a scholar working on Molecular Biology, Hematology, Genetics, Immunology and Surgery, having authored 159 papers that have together received 2.4k indexed citations. Recurring topics across this work include Blood groups and transfusion (14 papers), Traditional Chinese Medicine Analysis (8 papers), Hematopoietic Stem Cell Transplantation (7 papers), Myeloproliferative Neoplasms: Diagnosis and Treatment (7 papers), Immune Cell Function and Interaction (7 papers), Lymphoma Diagnosis and Treatment (7 papers), Kruppel-like factors research (6 papers) and Spectroscopy and Chemometric Analyses (6 papers). The work is most often cited by research in Analytical Chemistry (575 citations), Biophysics (221 citations), Industrial and Manufacturing Engineering (202 citations), Genetics (195 citations) and Hematology (198 citations). Wei‐Ting Wang has collaborated with scholars based in Taiwan, China and United States. Frequent co-authors include Yi‐Zeng Liang, Yong‐Huan Yun, Baichuan Deng, Dongsheng Cao, Hongmei Lü, Qing‐Song Xu, Yan‐Hwa Wu Lee, Tsung‐Yuan Tsai, Ding‐Ping Chen and Chien‐Feng Sun. Their work appears in journals such as Scientific Reports, Journal of Clinical Medicine, Analytica Chimica Acta, Clinica Chimica Acta and Biomedicines.
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.