David Koppstein
Impact in
- Cancer Research top 2%
- Cancer-related molecular mechanisms research
- MicroRNA in disease regulation
- Pollution top 5%
- Microplastics and Plastic Pollution
- Microbial bioremediation and biosurfactants
Papers in
-
- SARS-CoV-2 and COVID-19 Research 2
- Co-authors
- David P. Bartel (3 shared papers)Hadas Hezroni (1 shared paper)Igor Ulitsky (1 shared paper)Matthew G. Schwartz (1 shared paper)Calvin H. Jan (1 shared paper)Cei Abreu‐Goodger (1 shared paper)Muhammed Ali Yıldırım (1 shared paper)Jin‐Wu Nam (1 shared paper)
- Journals
- Cell (3 papers)HemaSphere (1 paper)Applied and Environmental Microbiology (1 paper)Molecular Cell (1 paper)Nature Methods (1 paper)
- Partner nations
- United StatesGermanyAustralia
In The Last Decade
David Koppstein
15 papers receiving 2.8k citations
David Koppstein's Hit Papers
Peers
Comparison fields: 5 of 116
- Cancer Research 543
- Pollution 285
- Molecular Biology 1.1k
- Infectious Diseases 238
- Information Systems and Management 104
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 | Bioconda: sustainable and comprehensive software distribution for the life sciences Hit paper breakdown → | 2018 | 847 |
| 2 | Principles of Long Noncoding RNA Evolution Derived from Direct Comparison of Transcriptomes in 17 Species Hit paper breakdown → | 2015 | 497 |
| 3 | Biodegradation of Polyester Polyurethane by Endophytic Fungi Hit paper breakdown → | 2011 | 449 |
| 4 | 2014 | 272 | |
| 5 | 2021 | 224 | |
| 6 | 2008 | 196 | |
| 7 | 2020 | 103 | |
| 8 | 2010 | 88 | |
| 9 | 2018 | 75 | |
| 10 | 2015 | 72 | |
| 11 | 2022 | 48 | |
| 12 | 2022 | 45 | |
| 13 | 2025 | 3 | |
| 14 | 2025 | 2 | |
| 15 | 2026 | 1 |
About David Koppstein
David Koppstein is a scholar working on Cancer Research, Infectious Diseases, Genetics, Genetics and Information Systems and Management, having authored 15 papers that have together received 2.9k indexed citations. Recurring topics across this work include SARS-CoV-2 and COVID-19 Research (2 papers), Microbial bioremediation and biosurfactants (1 paper), Acute Lymphoblastic Leukemia research (1 paper), Genomic variations and chromosomal abnormalities (1 paper), Microplastics and Plastic Pollution (1 paper), RNA Research and Splicing (1 paper), Influenza Virus Research Studies (1 paper) and T-cell and B-cell Immunology (1 paper). The work is most often cited by research in Cancer Research (543 citations), Pollution (285 citations), Molecular Biology (1.1k citations), Infectious Diseases (238 citations) and Information Systems and Management (104 citations). David Koppstein has collaborated with scholars based in United States, Germany and Australia. Frequent co-authors include David P. Bartel, Hadas Hezroni, Igor Ulitsky, Matthew G. Schwartz, Calvin H. Jan, Cei Abreu‐Goodger, Muhammed Ali Yıldırım, Jin‐Wu Nam, Antony Rodríguez and Olivia S. Rissland. Their work appears in journals such as Cell, HemaSphere, Applied and Environmental Microbiology, Molecular Cell and Nature Methods.
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.