Shirley J. Yee
- Genetics
- Sociology and Political Science
- Molecular Biology
- Gender Studies
- Political Science and International Relations
- Co-authors
- Newton E. MortonEmma J. LapsanskyJ. LindstenLennart IseliusRobert C. ElstonChris DixonRanajit ChakrabortyJulie Winch
- Topics
- Race, History, and American Society (7 papers)American Constitutional Law and Politics (6 papers)Genetic Mapping and Diversity in Plants and Animals (4 papers)
- Cited by
- GeneticsGender StudiesArchitecture
- Partner nations
- United StatesAustraliaSweden
In The Last Decade
Shirley J. Yee
21 papers receiving 233 citations
Peers
Comparison fields: 5 of 74
- Genetics 138
- Sociology and Political Science 82
- Molecular Biology 48
- Gender Studies 31
- Political Science and International Relations 26
Countries citing papers authored by Shirley J. Yee
This map shows the geographic impact of Shirley J. Yee'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 Shirley J. Yee with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Shirley J. Yee more than expected).
Fields of papers citing papers by Shirley J. Yee
This network shows the impact of papers produced by Shirley J. Yee. 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 Shirley J. Yee. The network helps show where Shirley J. Yee may publish in the future.
Co-authorship network of co-authors of Shirley J. Yee
This figure shows the co-authorship network connecting the top 25 collaborators of Shirley J. Yee. A scholar is included among the top collaborators of Shirley J. Yee based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Shirley J. Yee. Shirley J. Yee is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 1 | |
| 2 | 11 | |
| 3 | 9 | |
| 4 | 2 | |
| 5 | 6 | |
| 6 | 5 | |
| 7 | 11 | |
| 8 | 0 | |
| 9 | 7 | |
| 10 | 8 | |
| 11 | 3 | |
| 12 | 3 | |
| 13 | Black women abolitionists : a study of gender and race in the American antislavery movement, 1828-1860 / | 1 |
| 14 | 2 | |
| 15 | 42 | |
| 16 | 6 | |
| 17 | 3 | |
| 18 | 95 | |
| 19 | 25 | |
| 20 | Estimation of the inbreeding coefficient from ABO blood-group gene frequencies. | 7 |
About Shirley J. Yee
Shirley J. Yee is a scholar working on Gender Studies, Conservation and Literature and Literary Theory, having authored 25 papers that have together received 316 indexed citations. Recurring topics across this work include Race, History, and American Society (7 papers), American Constitutional Law and Politics (6 papers) and Genetic Mapping and Diversity in Plants and Animals (4 papers). The work is most often cited by research in Genetics (138 citations), Gender Studies (31 citations) and Architecture (4 citations). Shirley J. Yee has collaborated with scholars based in United States, Australia and Sweden. Frequent co-authors include Newton E. Morton, Emma J. Lapsansky, J. Lindsten, Lennart Iselius, Robert C. Elston, Chris Dixon, Ranajit Chakraborty, Julie Winch, N.E. Morton and Banu Subramaniam. Their work appears in journals such as The American Historical Review, Human Genetics and Theoretical Population Biology.
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.