David Tropel
Impact in
- Pollution top 10%
- Microbial bioremediation and biosurfactants
-
- bioluminescence and chemiluminescence research
- Microbial Metabolic Engineering and Bioproduction
- RNA Interference and Gene Delivery
- Gene Regulatory Network Analysis
Papers in
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- bioluminescence and chemiluminescence research 3
- CRISPR and Genetic Engineering 3
- RNA Interference and Gene Delivery 2
- vaccines and immunoinformatics approaches 2
- Genetics 5
- Bacterial Genetics and Biotechnology 4
- Co-authors
- Jan Roelof van der Meer (5 shared papers)Marco C. M. Jaspers (1 shared paper)Ueli Aebi (3 shared papers)Peter Burkhard (4 shared papers)Qin Guo (1 shared paper)David E. Lanar (1 shared paper)Stephen A. Kaba (1 shared paper)Christian Mittelholzer (1 shared paper)
- Journals
- Journal of Bacteriology (2 papers)Environmental Microbiology (2 papers)FEBS Journal (1 paper)Archives of Microbiology (1 paper)Microbiology and Molecular Biology Reviews (1 paper)
- Partner nations
- SwitzerlandUnited StatesNetherlands
In The Last Decade
David Tropel
11 papers receiving 702 citations
Peers
Comparison fields: 5 of 67
- Pollution 135
- Molecular Biology 492
- Microbiology 35
- Parasitology 36
- Virology 23
Countries citing papers authored by David Tropel
This map shows the geographic impact of David Tropel'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 Tropel with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites David Tropel more than expected).
Fields of papers citing papers by David Tropel
This network shows the impact of papers produced by David Tropel. 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 Tropel. The network helps show where David Tropel may publish in the future.
Co-authors
The 25 scholars most cited alongside David Tropel, 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 | 2004 | 311 | |
| 2 | 2009 | 133 | |
| 3 | 2004 | 124 | |
| 4 | 2010 | 53 | |
| 5 | 2008 | 43 | |
| 6 | 2004 | 15 | |
| 7 | 2002 | 14 | |
| 8 | 2002 | 13 | |
| 9 | 2005 | 5 | |
| 10 | 2005 | 3 | |
| 11 | Peptide Based Nanoparticles as a Platform for Vaccine Design | 2005 | 1 |
About David Tropel
David Tropel is a scholar working on Molecular Biology, Genetics, Radiology, Nuclear Medicine and Imaging, Immunology and Pollution, having authored 11 papers that have together received 715 indexed citations. Recurring topics across this work include Bacterial Genetics and Biotechnology (4 papers), Immunotherapy and Immune Responses (3 papers), bioluminescence and chemiluminescence research (3 papers), Monoclonal and Polyclonal Antibodies Research (3 papers), CRISPR and Genetic Engineering (3 papers), RNA Interference and Gene Delivery (2 papers), Microbial bioremediation and biosurfactants (2 papers) and vaccines and immunoinformatics approaches (2 papers). The work is most often cited by research in Pollution (135 citations), Molecular Biology (492 citations), Microbiology (35 citations), Parasitology (36 citations) and Virology (23 citations). David Tropel has collaborated with scholars based in Switzerland, United States and Netherlands. Frequent co-authors include Jan Roelof van der Meer, Marco C. M. Jaspers, Ueli Aebi, Peter Burkhard, Qin Guo, David E. Lanar, Stephen A. Kaba, Christian Mittelholzer, Clara Brando and Alexandra Graff. Their work appears in journals such as Journal of Bacteriology, Environmental Microbiology, FEBS Journal, Archives of Microbiology and Microbiology and Molecular Biology Reviews.
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.