Carol A. Mercer
- Molecular Biology top 10%
- Epidemiology top 5%
- Oncology top 10%
- Immunology top 10%
- Cancer Research top 10%
- Co-authors
- George ThomasAlagammai KaliappanSara C. KozmaSuresh PeddigariGiulio DonatiAngela F. DrewMolly M. McFarland-ManciniMingfu Zhou
- Topics
- PI3K/AKT/mTOR signaling in cancer (9 papers)Autophagy in Disease and Therapy (6 papers)RNA modifications and cancer (5 papers)
- Partner nations
- United StatesSpainNetherlands
In The Last Decade
Carol A. Mercer
23 papers receiving 1.6k citations
Peers
Comparison fields: 5 of 95
- Molecular Biology 935
- Epidemiology 517
- Oncology 331
- Immunology 247
- Cancer Research 189
Countries citing papers authored by Carol A. Mercer
This map shows the geographic impact of Carol A. Mercer'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 A. Mercer with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Carol A. Mercer more than expected).
Fields of papers citing papers by Carol A. Mercer
This network shows the impact of papers produced by Carol A. Mercer. 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 A. Mercer. The network helps show where Carol A. Mercer may publish in the future.
Co-authorship network of co-authors of Carol A. Mercer
This figure shows the co-authorship network connecting the top 25 collaborators of Carol A. Mercer. A scholar is included among the top collaborators of Carol A. Mercer 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 A. Mercer. Carol A. Mercer is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 17 | |
| 2 | 36 | |
| 3 | 11 | |
| 4 | 36 | |
| 5 | 80 | |
| 6 | 13 | |
| 7 | 95 | |
| 8 | 1 | |
| 9 | 16 | |
| 10 | 74 | |
| 11 | 89 | |
| 12 | 200 | |
| 13 | 6 | |
| 14 | 81 | |
| 15 | 12 | |
| 16 | 209 | |
| 17 | 21 | |
| 18 | 336 | |
| 19 | 14 | |
| 20 | 165 |
About Carol A. Mercer
Carol A. Mercer is a scholar working on Oncology, Molecular Biology and Genetics, having authored 23 papers that have together received 1.6k indexed citations. Recurring topics across this work include PI3K/AKT/mTOR signaling in cancer (9 papers), Autophagy in Disease and Therapy (6 papers) and RNA modifications and cancer (5 papers). The work is most often cited by research in Physiology (90 citations), Epidemiology (517 citations) and Molecular Biology (935 citations). Carol A. Mercer has collaborated with scholars based in United States, Spain and Netherlands. Frequent co-authors include George Thomas, Alagammai Kaliappan, Sara C. Kozma, Suresh Peddigari, Giulio Donati, Angela F. Drew, Molly M. McFarland-Mancini, Mingfu Zhou, Teng Teng and Hala Elnakat Thomas. Their work appears in journals such as Nature Communications, Journal of Clinical Oncology and Blood.
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.