Yi-Ting Wang
Impact in
- Development top 5%
- International Development and Aid
- Gender Studies top 5%
- Gender Politics and Representation
Papers in
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- Ubiquitin and proteasome pathways 3
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- Political Conflict and Governance 3
- Co-authors
- Jan‐Jong Hung (5 shared papers)Wen‐Chang Chang (5 shared papers)Staffan I. Lindberg (5 shared papers)Pamela Paxton (3 shared papers)Aksel Sundström (2 shared papers)Jian‐Ying Chuang (3 shared papers)Wen‐Bin Yang (2 shared papers)Yiwen Liu (2 shared papers)
- Journals
- Journal of Molecular Biology (3 papers)Molecular and Cellular Biology (2 papers)Electoral Studies (2 papers)Political Research Quarterly (2 papers)Research & Politics (1 paper)
- Partner nations
- TaiwanUnited StatesSweden
In The Last Decade
Yi-Ting Wang
26 papers receiving 833 citations
Peers
Comparison fields: 5 of 130
- Development 47
- Gender Studies 114
- Molecular Biology 348
- Political Science and International Relations 132
- Oncology 96
Countries citing papers authored by Yi-Ting Wang
This map shows the geographic impact of Yi-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 Yi-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 Yi-Ting Wang more than expected).
Fields of papers citing papers by Yi-Ting Wang
This network shows the impact of papers produced by Yi-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 Yi-Ting Wang. The network helps show where Yi-Ting Wang may publish in the future.
Co-authors
The 25 scholars most cited alongside Yi-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 27 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2017 | 163 | |
| 2 | 2006 | 118 | |
| 3 | 2008 | 104 | |
| 4 | 2008 | 70 | |
| 5 | 2011 | 60 | |
| 6 | 2018 | 47 | |
| 7 | 2009 | 33 | |
| 8 | 2009 | 32 | |
| 9 | 2015 | 32 | |
| 10 | 2012 | 31 | |
| 11 | 2011 | 31 | |
| 12 | 2017 | 29 | |
| 13 | 2020 | 25 | |
| 14 | 2019 | 16 | |
| 15 | 2018 | 15 | |
| 16 | 2012 | 11 | |
| 17 | 2018 | 8 | |
| 18 | 2018 | 7 | |
| 19 | 2009 | 7 | |
| 20 | 2016 | 4 |
About Yi-Ting Wang
Yi-Ting Wang is a scholar working on Molecular Biology, Sociology and Political Science, Political Science and International Relations, Economics and Econometrics and Gender Studies, having authored 27 papers that have together received 860 indexed citations. Recurring topics across this work include Electoral Systems and Political Participation (6 papers), Gender Politics and Representation (4 papers), Politics and Society in Latin America (4 papers), Ubiquitin and proteasome pathways (3 papers), Political Conflict and Governance (3 papers), International Development and Aid (3 papers), Poverty, Education, and Child Welfare (3 papers) and Gender, Labor, and Family Dynamics (2 papers). The work is most often cited by research in Development (47 citations), Gender Studies (114 citations), Molecular Biology (348 citations), Political Science and International Relations (132 citations) and Oncology (96 citations). Yi-Ting Wang has collaborated with scholars based in Taiwan, United States and Sweden. Frequent co-authors include Jan‐Jong Hung, Wen‐Chang Chang, Staffan I. Lindberg, Pamela Paxton, Aksel Sundström, Jian‐Ying Chuang, Wen‐Bin Yang, Yiwen Liu, Shiu-Hwa Yeh and Valeriya Mechkova. Their work appears in journals such as Journal of Molecular Biology, Molecular and Cellular Biology, Electoral Studies, Political Research Quarterly and Research & Politics.
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.