Richard Eckner
- Cancer Research top 1%
- Molecular Biology top 1%
- RNA Research and Splicing 5
- RNA modifications and cancer 5
- Protein Degradation and Inhibitors 4
- Ubiquitin and proteasome pathways 4
- Genomics and Chromatin Dynamics 3
- Oncology top 1%
- Cancer-related Molecular Pathways 6
- Genetics top 1%
- Virus-based gene therapy research 12
- Immunology top 5%
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- Congenital limb and hand anomalies 2
- Co-authors
- David M. LivingstonDavid NewsomeZoltàn AranyJames A. DeCaprioShoumo BhattacharyaMark E. EwenJeanne B. LawrenceMichael Gerdes
- Journals
- Proceedings of the National Academy of Sciences (4 papers)Genes & Development (4 papers)Nature (3 papers)
- Partner nations
- United StatesJapanSwitzerland
In The Last Decade
Richard Eckner
30 papers receiving 6.2k citations
Hit Papers
Peers
Comparison fields: 5 of 111
- Cancer Research 1.2k
- Molecular Biology 4.8k
- Oncology 1.7k
- Genetics 1.7k
- Immunology 880
Countries citing papers authored by Richard Eckner
This map shows the geographic impact of Richard Eckner'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 Richard Eckner with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Richard Eckner more than expected).
Fields of papers citing papers by Richard Eckner
This network shows the impact of papers produced by Richard Eckner. 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 Richard Eckner. The network helps show where Richard Eckner may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Richard Eckner, 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 | 2020 | 7 | |
| 2 | 2018 | 28 | |
| 3 | 2016 | 40 | |
| 4 | 2014 | 17 | |
| 5 | 2013 | 54 | |
| 6 | 2009 | 41 | |
| 7 | 2005 | 28 | |
| 8 | 2000 | 79 | |
| 9 | 1998 | 273 | |
| 10 | 1998 | 77 | |
| 11 | Gene Dosage–Dependent Embryonic Development and Proliferation Defects in Mice Lacking the Transcriptional Integrator p300breakdown → | 1998 | 815 |
| 12 | 1996 | 429 | |
| 13 | 1996 | 213 | |
| 14 | 1995 | 487 | |
| 15 | 1995 | 278 | |
| 16 | 1995 | 294 | |
| 17 | 1994 | 34 | |
| 18 | 1992 | 12 | |
| 19 | 1989 | 59 | |
| 20 | 1986 | 70 |
About Richard Eckner
Richard Eckner is a scholar working on Developmental Biology, Genetics and Molecular Biology, having authored 30 papers that have together received 6.3k indexed citations. Recurring topics across this work include Virus-based gene therapy research (12 papers), Cancer-related Molecular Pathways (6 papers), RNA Research and Splicing (5 papers), RNA modifications and cancer (5 papers), Protein Degradation and Inhibitors (4 papers), Ubiquitin and proteasome pathways (4 papers), Genomics and Chromatin Dynamics (3 papers) and Congenital limb and hand anomalies (2 papers). The work is most often cited by research in Cancer Research (1.2k citations), Molecular Biology (4.8k citations) and Oncology (1.7k citations). Richard Eckner has collaborated with scholars based in United States, Japan and Switzerland. Frequent co-authors include David M. Livingston, David Newsome, Zoltàn Arany, James A. DeCaprio, Shoumo Bhattacharya, Mark E. Ewen, Jeanne B. Lawrence, Michael Gerdes, Tso‐Pang Yao and Max L. Birnstiel. Their work appears in journals such as Proceedings of the National Academy of Sciences, Genes & Development, Nature, The EMBO Journal and Nucleic Acids Research.
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.