David Koppstein
Impact in
- Cancer Research top 2%
- Cancer-related molecular mechanisms research
- MicroRNA in disease regulation
- Molecular Biology top 10%
- RNA modifications and cancer
- RNA Research and Splicing
- RNA and protein synthesis mechanisms
- Circular RNAs in diseases
- Genomics and Phylogenetic Studies
Papers in
-
- RNA and protein synthesis mechanisms 4
- RNA Research and Splicing 4
- RNA modifications and cancer 3
- Viral Infectious Diseases and Gene Expression in Insects 1
- RNA Interference and Gene Delivery 1
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- MicroRNA in disease regulation 2
- Cancer-related molecular mechanisms research 2
- Cancer Genomics and Diagnostics 1
- Co-authors
- David P. Bartel (4 shared papers)Igor Ulitsky (2 shared papers)Matthew G. Schwartz (1 shared paper)Hadas Hezroni (1 shared paper)Calvin H. Jan (2 shared papers)Alena Shkumatava (1 shared paper)Hazel Sive (1 shared paper)Alexander O. Subtelny (1 shared paper)
- Journals
- Cell (2 papers)Molecular Cell (1 paper)Cell Reports (1 paper)Acta Neuropathologica (1 paper)Nucleic Acids Research (1 paper)
- Partner nations
- United StatesGermanySouth Korea
In The Last Decade
David Koppstein
11 papers receiving 1.5k citations
David Koppstein's Hit Papers
Peers
Comparison fields: 5 of 89
- Cancer Research 626
- Molecular Biology 1.1k
- Endocrinology 65
- Immunology 118
- Infectious Diseases 84
Countries citing papers authored by David Koppstein
This map shows the geographic impact of David Koppstein'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 David Koppstein with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites David Koppstein more than expected).
Fields of papers citing papers by David Koppstein
This network shows the impact of papers produced by David Koppstein. 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 David Koppstein. The network helps show where David Koppstein may publish in the future.
Co-authors
The 25 scholars most cited alongside David Koppstein, 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 | Principles of Long Noncoding RNA Evolution Derived from Direct Comparison of Transcriptomes in 17 Species Hit paper breakdown → | 2015 | 469 |
| 2 | 2014 | 254 | |
| 3 | 2012 | 254 | |
| 4 | 2008 | 187 | |
| 5 | 2010 | 83 | |
| 6 | 2015 | 67 | |
| 7 | 2018 | 66 | |
| 8 | 2023 | 44 | |
| 9 | 2022 | 39 | |
| 10 | 2025 | 2 | |
| 11 | 2018 | 1 | |
| 12 | 2026 | 0 |
About David Koppstein
David Koppstein is a scholar working on Molecular Biology, Cancer Research, Infectious Diseases, Genetics and Cardiology and Cardiovascular Medicine, having authored 12 papers that have together received 1.5k indexed citations. Recurring topics across this work include RNA and protein synthesis mechanisms (4 papers), RNA Research and Splicing (4 papers), RNA modifications and cancer (3 papers), MicroRNA in disease regulation (2 papers), Cancer-related molecular mechanisms research (2 papers), Viral Infectious Diseases and Gene Expression in Insects (1 paper), Cancer Genomics and Diagnostics (1 paper) and RNA Interference and Gene Delivery (1 paper). The work is most often cited by research in Cancer Research (626 citations), Molecular Biology (1.1k citations), Endocrinology (65 citations), Immunology (118 citations) and Infectious Diseases (84 citations). David Koppstein has collaborated with scholars based in United States, Germany and South Korea. Frequent co-authors include David P. Bartel, Igor Ulitsky, Matthew G. Schwartz, Hadas Hezroni, Calvin H. Jan, Alena Shkumatava, Hazel Sive, Alexander O. Subtelny, George W. Bell and Jin‐Wu Nam. Their work appears in journals such as Cell, Molecular Cell, Cell Reports, Acta Neuropathologica 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.