Carol A. Vater
- Molecular Biology top 5%
- Cell Biology top 1%
- Cancer Research top 2%
- Epidemiology top 10%
- Oncology top 10%
- Co-authors
- Edward D. HarrisTom H. StevensChristopher K. RaymondCarlo L. MainardiZena WerbHideaki NagaseRobert C. SiegelConstance Brinckerhoff
- Topics
- Monoclonal and Polyclonal Antibodies Research (5 papers)Protease and Inhibitor Mechanisms (4 papers)Cellular transport and secretion (4 papers)
- Partner nations
- United StatesGermanyCzechia
In The Last Decade
Carol A. Vater
31 papers receiving 3.0k citations
Hit Papers
Peers
Comparison fields: 5 of 106
- Molecular Biology 1.5k
- Cell Biology 871
- Cancer Research 762
- Epidemiology 464
- Oncology 394
Countries citing papers authored by Carol A. Vater
This map shows the geographic impact of Carol A. Vater'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. Vater 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. Vater more than expected).
Fields of papers citing papers by Carol A. Vater
This network shows the impact of papers produced by Carol A. Vater. 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. Vater. The network helps show where Carol A. Vater may publish in the future.
Co-authorship network of co-authors of Carol A. Vater
This figure shows the co-authorship network connecting the top 25 collaborators of Carol A. Vater. A scholar is included among the top collaborators of Carol A. Vater 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. Vater. Carol A. Vater 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 | 13 | |
| 3 | 3 | |
| 4 | The pro-apoptotic protein, Bik, exhibits potent antitumor activity that is dependent on its BH3 domain. | 34 |
| 5 | 54 | |
| 6 | 6 | |
| 7 | 48 | |
| 8 | Morphological classification of the yeast vacuolar protein sorting mutants: evidence for a prevacuolar compartment in class E vps mutants.breakdown → | 708 |
| 9 | 8 | |
| 10 | 7 | |
| 11 | 15 | |
| 12 | 22 | |
| 13 | 103 | |
| 14 | 71 | |
| 15 | 26 | |
| 16 | 82 | |
| 17 | 179 | |
| 18 | 40 | |
| 19 | 36 | |
| 20 | 11 |
About Carol A. Vater
Carol A. Vater is a scholar working on Urology, Biotechnology and Rheumatology, having authored 32 papers that have together received 3.1k indexed citations. Recurring topics across this work include Monoclonal and Polyclonal Antibodies Research (5 papers), Protease and Inhibitor Mechanisms (4 papers) and Cellular transport and secretion (4 papers). The work is most often cited by research in Cell Biology (871 citations), Cancer Research (762 citations) and Immunology and Allergy (267 citations). Carol A. Vater has collaborated with scholars based in United States, Germany and Czechia. Frequent co-authors include Edward D. Harris, Tom H. Stevens, Christopher K. Raymond, Carlo L. Mainardi, Zena Werb, Hideaki Nagase, Robert C. Siegel, Constance Brinckerhoff, Laura M. Bartle and Kirk Ekena. Their work appears in journals such as Nature, New England Journal of Medicine and Proceedings of the National Academy of Sciences.
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.