James D. Winkler
- Molecular Biology top 1%
- Oncology top 1%
- Hematology top 1%
- Cancer Research top 5%
- Genetics top 5%
- Co-authors
- Craig M. CrewsJeffrey R. JacksonTaavi K. NeklesaKevin ColemanJing WangAndrew P. CrewHanqing DongKanak Raina
- Topics
- Microbial Metabolic Engineering and Bioproduction (17 papers)Protein Degradation and Inhibitors (15 papers)CRISPR and Genetic Engineering (9 papers)
- Cited by
- Molecular BiologyHematologyOncology
- Journals
- Proceedings of the National Academy of SciencesJournal of Biological ChemistryJournal of Clinical Oncology
- Partner nations
- United StatesItalyAustralia
In The Last Decade
James D. Winkler
77 papers receiving 6.8k citations
Hit Papers
Peers
Comparison fields: 5 of 161
- Molecular Biology 5.4k
- Oncology 1.9k
- Hematology 794
- Cancer Research 493
- Genetics 452
Countries citing papers authored by James D. Winkler
This map shows the geographic impact of James D. Winkler'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 James D. Winkler with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites James D. Winkler more than expected).
Fields of papers citing papers by James D. Winkler
This network shows the impact of papers produced by James D. Winkler. 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 James D. Winkler. The network helps show where James D. Winkler may publish in the future.
Co-authorship network of co-authors of James D. Winkler
This figure shows the co-authorship network connecting the top 25 collaborators of James D. Winkler. A scholar is included among the top collaborators of James D. Winkler 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 James D. Winkler. James D. Winkler 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 | 10 | |
| 3 | 17 | |
| 4 | Targeted protein degradation by PROTACsbreakdown → | 425 |
| 5 | 6 | |
| 6 | Hijacking the E3 Ubiquitin Ligase Cereblon to Efficiently Target BRD4breakdown → | 849 |
| 7 | 10 | |
| 8 | 23 | |
| 9 | 61 | |
| 10 | 53 | |
| 11 | 442 | |
| 12 | 136 | |
| 13 | 56 | |
| 14 | 300 | |
| 15 | 78 | |
| 16 | 241 | |
| 17 | 1 | |
| 18 | 345 | |
| 19 | 202 | |
| 20 | 50 |
About James D. Winkler
James D. Winkler is a scholar working on Molecular Biology, Immunology and Allergy and Oncology, having authored 79 papers that have together received 6.9k indexed citations. Recurring topics across this work include Microbial Metabolic Engineering and Bioproduction (17 papers), Protein Degradation and Inhibitors (15 papers) and CRISPR and Genetic Engineering (9 papers). The work is most often cited by research in Molecular Biology (5.4k citations), Hematology (794 citations) and Oncology (1.9k citations). James D. Winkler has collaborated with scholars based in United States, Italy and Australia. Frequent co-authors include Craig M. Crews, Jeffrey R. Jackson, Taavi K. Neklesa, Kevin Coleman, Jing Wang, Andrew P. Crew, Hanqing Dong, Kanak Raina, Yimin Qian and Katy C. Kao. Their work appears in journals such as Proceedings of the National Academy of Sciences, Journal of Biological Chemistry and Journal of Clinical Oncology.
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.