Carol Meeske
About
In The Last Decade
Carol Meeske
1 paper receiving 30 citations
Peers
Comparison fields: 5 of 18
- Molecular Biology 24
- Oncology 14
- Cancer Research 5
- Genetics 4
- Pathology and Forensic Medicine 2
Countries citing papers authored by Carol Meeske
This map shows the geographic impact of Carol Meeske'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 Carol Meeske with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Carol Meeske more than expected).
Fields of papers citing papers by Carol Meeske
This network shows the impact of papers produced by Carol Meeske. 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 Carol Meeske. The network helps show where Carol Meeske may publish in the future.
Co-authorship network of co-authors of Carol Meeske
This figure shows the co-authorship network connecting the top 25 collaborators of Carol Meeske. A scholar is included among the top collaborators of Carol Meeske 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 Carol Meeske. Carol Meeske is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Title | Journal | Authors | Indexed citations |
|---|---|---|---|---|
| 1 | 295 (PB283): Predictive Markers of Response to the MDM2 Degrader KT-253 | European Journal of Cancer | Nancy Dumont, Rahul Karnik et al. | 0 |
| 2 | De novo Discovery of a γ-Secretase Inhibitor Response Signature Using a Novel In vivo Breast Tumor Model | Cancer Research | James Watters, Chun Cheng et al. | 31 |
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.