Yi-Ting Wang

26 papers receiving 795 citations

Peers

Yi-Ting Wang
Comparison fields: 5 of 130
  • Development 43
  • Gender Studies 105
  • Molecular Biology 363
  • Political Science and International Relations 114
  • Cancer Research 60
Replace Rafael Domínguez Martín with:
Rafael Domínguez Martín Spain
Jun Han China
Abel François France
Sungmi Song South Korea
Josep M. Colomer Spain
Xinyuan Dai China
Xinwei Ma United States
Douglas A. Hicks United States
Mark Schneider United States
Yi-Ting Wang relative to Rafael Domínguez Martín Spain Rafael Domínguez Martín's profile →
Citations per field
00.5×6.3×
Rafael Domínguez Martín · 1×
Citations per year

Countries citing papers authored by Yi-Ting Wang

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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.

Border = papers with Yi-Ting Wang Line = papers co-authored together Yi-Ting Wang links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 27 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2017149
2 2006117
3 2008102
4 200868
5 201160
6 201846
7 200932
8 201231
9 201130
10 201727
11 200927
12 201526
13 202021
14 201916
15 201813
16 201211
17 20188
18 20187
19 20097
20 20204

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 817 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), International Development and Aid (3 papers), Political Conflict and Governance (3 papers), Poverty, Education, and Child Welfare (3 papers), Ubiquitin and proteasome pathways (3 papers) and Epigenetics and DNA Methylation (2 papers). The work is most often cited by research in Development (43 citations), Gender Studies (105 citations), Molecular Biology (363 citations), Political Science and International Relations (114 citations) and Cancer Research (60 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, Aksel Sundström, Pamela Paxton, Jian‐Ying Chuang, Wen‐Bin Yang, Yiwen Liu, Shiu-Hwa Yeh and Frida Andersson. Their work appears in journals such as Journal of Molecular Biology, Molecular and Cellular Biology, Electoral Studies, Political Research Quarterly and British Journal of Political Science.

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.

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