Paula Rickert
Impact in
- Immunology and Allergy top 10%
- Cell Adhesion Molecules Research
- Cell Biology top 5%
- Microtubule and mitosis dynamics
Papers in
- Oncology 3
- Pancreatic and Hepatic Oncology Research 1
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- Genomics and Chromatin Dynamics 3
- RNA modifications and cancer 2
- RNA Research and Splicing 2
- Protein Kinase Regulation and GTPase Signaling 1
- Machine Learning in Bioinformatics 1
- DNA Repair Mechanisms 1
- Ubiquitin and proteasome pathways 1
- Co-authors
- Emma LeesDanny ReinbergHelen ChoJeffry L. CordenCarl W. AndersonEdio MaldonadoRonny DrapkinRamin Shiekhattar
- Journals
- Nature (2 papers)Oncogene (2 papers)Biochemistry (1 paper)Molecular Cell (1 paper)Trends in Cell Biology (1 paper)
- Partner nations
- United StatesSwitzerlandUnited Kingdom
In The Last Decade
Paula Rickert
9 papers receiving 1.2k citations
Peers
Comparison fields: 5 of 81
- Immunology and Allergy 85
- Cell Biology 223
- Molecular Biology 935
- Oncology 242
- Cancer Research 120
Countries citing papers authored by Paula Rickert
This map shows the geographic impact of Paula Rickert'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 Paula Rickert with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Paula Rickert more than expected).
Fields of papers citing papers by Paula Rickert
This network shows the impact of papers produced by Paula Rickert. 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 Paula Rickert. The network helps show where Paula Rickert may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Paula Rickert, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2005 | 51 | |
| 2 | 2002 | 121 | |
| 3 | 2000 | 249 | |
| 4 | 1999 | 99 | |
| 5 | 1999 | 24 | |
| 6 | 1998 | 203 | |
| 7 | A Human RNA-Polymerase-II Complex-Associated with SRB and DNA-Repair Proteins (Vol 381, Pg 86, 1996) | 1996 | 2 |
| 8 | 1996 | 306 | |
| 9 | Cyclin C/CDK8 is a novel CTD kinase associated with RNA polymerase II. | 1996 | 130 |
About Paula Rickert
Paula Rickert is a scholar working on Oncology, Molecular Biology, Cancer Research, Cell Biology and Pediatrics, Perinatology and Child Health, having authored 9 papers that have together received 1.2k indexed citations. Recurring topics across this work include Genomics and Chromatin Dynamics (3 papers), RNA modifications and cancer (2 papers), RNA Research and Splicing (2 papers), Pancreatic and Hepatic Oncology Research (1 paper), Protein Kinase Regulation and GTPase Signaling (1 paper), Machine Learning in Bioinformatics (1 paper), DNA Repair Mechanisms (1 paper) and Ubiquitin and proteasome pathways (1 paper). The work is most often cited by research in Immunology and Allergy (85 citations), Cell Biology (223 citations), Molecular Biology (935 citations), Oncology (242 citations) and Cancer Research (120 citations). Paula Rickert has collaborated with scholars based in United States, Switzerland and United Kingdom. Frequent co-authors include Emma Lees, Danny Reinberg, Helen Cho, Jeffry L. Corden, Carl W. Anderson, Edio Maldonado, Ronny Drapkin, Ramin Shiekhattar, Michael Sheldon and Stuart Linn. Their work appears in journals such as Nature, Oncogene, Biochemistry, Molecular Cell and Trends in Cell Biology.
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.