Rena G. Lapidus
- Molecular Biology top 2%
- Oncology top 2%
- Cancer Research top 2%
- Genetics top 5%
- Pulmonary and Respiratory Medicine top 5%
- Co-authors
- Nancy E. DavidsonStephen B. BaylinJames G. HermanJean‐Pierre J. IssaAdrian MerloLi MaoDavid SidranskyPatricia M. Sokolove
- Topics
- Acute Myeloid Leukemia Research (21 papers)Cancer therapeutics and mechanisms (10 papers)Epigenetics and DNA Methylation (9 papers)
- Journals
- Proceedings of the National Academy of SciencesJournal of Biological ChemistryNature Communications
- Partner nations
- United StatesJapanItaly
In The Last Decade
Rena G. Lapidus
97 papers receiving 4.8k citations
Hit Papers
Peers
Comparison fields: 5 of 119
- Molecular Biology 3.4k
- Oncology 1.6k
- Cancer Research 749
- Genetics 615
- Pulmonary and Respiratory Medicine 549
Countries citing papers authored by Rena G. Lapidus
This map shows the geographic impact of Rena G. Lapidus'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 Rena G. Lapidus with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Rena G. Lapidus more than expected).
Fields of papers citing papers by Rena G. Lapidus
This network shows the impact of papers produced by Rena G. Lapidus. 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 Rena G. Lapidus. The network helps show where Rena G. Lapidus may publish in the future.
Co-authorship network of co-authors of Rena G. Lapidus
This figure shows the co-authorship network connecting the top 25 collaborators of Rena G. Lapidus. A scholar is included among the top collaborators of Rena G. Lapidus 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 Rena G. Lapidus. Rena G. Lapidus is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 3 | |
| 2 | 8 | |
| 3 | 8 | |
| 4 | 6 | |
| 5 | 17 | |
| 6 | 6 | |
| 7 | 1 | |
| 8 | 23 | |
| 9 | 13 | |
| 10 | 36 | |
| 11 | 32 | |
| 12 | 16 | |
| 13 | 40 | |
| 14 | 75 | |
| 15 | 57 | |
| 16 | 107 | |
| 17 | 75 | |
| 18 | 9 | |
| 19 | Methylation of estrogen and progesterone receptor gene 5' CpG islands correlates with lack of estrogen and progesterone receptor gene expression in breast tumors. | 203 |
| 20 | 12 |
About Rena G. Lapidus
Rena G. Lapidus is a scholar working on Hematology, Oncology and Cancer Research, having authored 99 papers that have together received 4.9k indexed citations. Recurring topics across this work include Acute Myeloid Leukemia Research (21 papers), Cancer therapeutics and mechanisms (10 papers) and Epigenetics and DNA Methylation (9 papers). The work is most often cited by research in Oncology (1.6k citations), Molecular Biology (3.4k citations) and Cancer Research (749 citations). Rena G. Lapidus has collaborated with scholars based in United States, Japan and Italy. Frequent co-authors include Nancy E. Davidson, Stephen B. Baylin, James G. Herman, Jean‐Pierre J. Issa, Adrian Merlo, Li Mao, David Sidransky, Patricia M. Sokolove, Anne Ferguson and Sharyl J. Nass. Their work appears in journals such as Proceedings of the National Academy of Sciences, Journal of Biological Chemistry and Nature Communications.
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.