Deborah Gordon
- Molecular Biology top 10%
- Hematology top 5%
- Oncology top 10%
- Pulmonary and Respiratory Medicine
- Sociology and Political Science
- Co-authors
- Margaret LockJing WangKanak RainaAndrew P. CrewHanqing DongCraig M. CrewsJames D. WinklerKevin Coleman
- Topics
- Protein Degradation and Inhibitors (3 papers)Ubiquitin and proteasome pathways (2 papers)Prostate Cancer Treatment and Research (2 papers)
- Cited by
- HematologyMolecular BiologyOncology
- Partner nations
- United StatesAustraliaCanada
In The Last Decade
Deborah Gordon
9 papers receiving 810 citations
Hit Papers
Peers
Comparison fields: 5 of 94
- Molecular Biology 700
- Hematology 241
- Oncology 236
- Pulmonary and Respiratory Medicine 43
- Sociology and Political Science 33
Countries citing papers authored by Deborah Gordon
This map shows the geographic impact of Deborah Gordon'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 Deborah Gordon with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Deborah Gordon more than expected).
Fields of papers citing papers by Deborah Gordon
This network shows the impact of papers produced by Deborah Gordon. 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 Deborah Gordon. The network helps show where Deborah Gordon may publish in the future.
Co-authorship network of co-authors of Deborah Gordon
This figure shows the co-authorship network connecting the top 25 collaborators of Deborah Gordon. A scholar is included among the top collaborators of Deborah Gordon 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 Deborah Gordon. Deborah Gordon is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 0 | |
| 2 | 1 | |
| 3 | 50 | |
| 4 | 2 | |
| 5 | PROTAC-induced BET protein degradation as a therapy for castration-resistant prostate cancerbreakdown → | 661 |
| 6 | Read this! : fascinating stories from the content areas | 4 |
| 7 | Assessment Strategies for Global Learning: I Theory | 2 |
| 8 | Calling Palestine: Enriching Learning in Women’s Studies | 2 |
| 9 | Assessment strategies for global learning: II case studies | 0 |
| 10 | 4 | |
| 11 | 104 | |
| 12 | Listen for it | 0 |
| 13 | 7 |
About Deborah Gordon
Deborah Gordon is a scholar working on Linguistics and Language, Urban Studies and Political Science and International Relations, having authored 13 papers that have together received 837 indexed citations. Recurring topics across this work include Protein Degradation and Inhibitors (3 papers), Ubiquitin and proteasome pathways (2 papers) and Prostate Cancer Treatment and Research (2 papers). The work is most often cited by research in Hematology (241 citations), Molecular Biology (700 citations) and Oncology (236 citations). Deborah Gordon has collaborated with scholars based in United States, Australia and Canada. Frequent co-authors include Margaret Lock, Jing Wang, Kanak Raina, Andrew P. Crew, Hanqing Dong, Craig M. Crews, James D. Winkler, Kevin Coleman, Jing Lü and Martha Altieri. Their work appears in journals such as Proceedings of the National Academy of Sciences, Cancer Research and American Ethnologist.
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.