Katherine E. Wickliffe
- Molecular Biology top 2%
- Immunology top 2%
- Oncology top 5%
- Epidemiology top 5%
- Cell Biology top 2%
- Co-authors
- Michael RapéVishva M. DixitKim NewtonJoshua D. WebsterDebra L. DuggerMerone Roose‐GirmaAllie MaltzmanAdam J. Williamson
- Topics
- Cell death mechanisms and regulation (9 papers)Ubiquitin and proteasome pathways (9 papers)Cancer-related Molecular Pathways (6 papers)
- Partner nations
- United StatesFranceAustralia
In The Last Decade
Katherine E. Wickliffe
21 papers receiving 3.6k citations
Hit Papers
Peers
Comparison fields: 5 of 111
- Molecular Biology 2.9k
- Immunology 1.3k
- Oncology 613
- Epidemiology 595
- Cell Biology 591
Countries citing papers authored by Katherine E. Wickliffe
This map shows the geographic impact of Katherine E. Wickliffe'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 Katherine E. Wickliffe with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Katherine E. Wickliffe more than expected).
Fields of papers citing papers by Katherine E. Wickliffe
This network shows the impact of papers produced by Katherine E. Wickliffe. 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 Katherine E. Wickliffe. The network helps show where Katherine E. Wickliffe may publish in the future.
Co-authorship network of co-authors of Katherine E. Wickliffe
This figure shows the co-authorship network connecting the top 25 collaborators of Katherine E. Wickliffe. A scholar is included among the top collaborators of Katherine E. Wickliffe 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 Katherine E. Wickliffe. Katherine E. Wickliffe 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 | 8 | |
| 3 | 21 | |
| 4 | Cleavage of RIPK1 by caspase-8 is crucial for limiting apoptosis and necroptosisbreakdown → | 407 |
| 5 | 289 | |
| 6 | 27 | |
| 7 | 307 | |
| 8 | 62 | |
| 9 | Activity of Protein Kinase RIPK3 Determines Whether Cells Die by Necroptosis or Apoptosisbreakdown → | 531 |
| 10 | 63 | |
| 11 | Ubiquitin-dependent regulation of COPII coat size and functionbreakdown → | 257 |
| 12 | 27 | |
| 13 | 231 | |
| 14 | 143 | |
| 15 | 321 | |
| 16 | 244 | |
| 17 | 28 | |
| 18 | 451 | |
| 19 | 64 | |
| 20 | 19 |
About Katherine E. Wickliffe
Katherine E. Wickliffe is a scholar working on Cell Biology, Oncology and Molecular Biology, having authored 22 papers that have together received 3.7k indexed citations. Recurring topics across this work include Cell death mechanisms and regulation (9 papers), Ubiquitin and proteasome pathways (9 papers) and Cancer-related Molecular Pathways (6 papers). The work is most often cited by research in Immunology (1.3k citations), Molecular Biology (2.9k citations) and Cell Biology (591 citations). Katherine E. Wickliffe has collaborated with scholars based in United States, France and Australia. Frequent co-authors include Michael Rapé, Vishva M. Dixit, Kim Newton, Joshua D. Webster, Debra L. Dugger, Merone Roose‐Girma, Allie Maltzman, Adam J. Williamson, László G. Kömüves and Stephen H. Leppla. Their work appears in journals such as Nature, Science and Cell.
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.