David Heckmann
Impact in
- Molecular Biology top 10%
- Microbial Metabolic Engineering and Bioproduction
- Photosynthetic Processes and Mechanisms
- Machine Learning in Bioinformatics
- Enzyme Catalysis and Immobilization
- Genomics and Phylogenetic Studies
Papers in
- Genetics 7
- Evolution and Genetic Dynamics 4
- Bacterial Genetics and Biotechnology 3
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- Environmental Toxicology and Ecotoxicology 4
- Co-authors
- Martin J. Lercher (6 shared papers)Andreas P.M. Weber (3 shared papers)Bernhard Ørn Palsson (8 shared papers)Udo Gowik (2 shared papers)Peter Westhoff (2 shared papers)Urte Schlüter (1 shared paper)Nathan Mih (3 shared papers)Erol S. Kavvas (3 shared papers)
- Journals
- Nature Communications (4 papers)Frontiers in Physiology (2 papers)Proceedings of the National Academy of Sciences (2 papers)Molecular Plant (1 paper)Journal of Experimental Botany (1 paper)
- Partner nations
- GermanyUnited StatesDenmark
In The Last Decade
David Heckmann
24 papers receiving 1.2k citations
Peers
Comparison fields: 5 of 89
- Molecular Biology 801
- Applied Microbiology and Biotechnology 25
- Molecular Medicine 65
- Ecology, Evolution, Behavior and Systematics 134
- Health Informatics 14
Countries citing papers authored by David Heckmann
This map shows the geographic impact of David Heckmann'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 Heckmann with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites David Heckmann more than expected).
Fields of papers citing papers by David Heckmann
This network shows the impact of papers produced by David Heckmann. 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 Heckmann. The network helps show where David Heckmann may publish in the future.
Co-authors
The 25 scholars most cited alongside David Heckmann, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 24 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2018 | 173 | |
| 2 | 2014 | 171 | |
| 3 | 2013 | 155 | |
| 4 | 2018 | 144 | |
| 5 | 2017 | 101 | |
| 6 | 2021 | 93 | |
| 7 | 2019 | 88 | |
| 8 | 2020 | 64 | |
| 9 | 2020 | 64 | |
| 10 | 2020 | 27 | |
| 11 | 2021 | 27 | |
| 12 | 2016 | 20 | |
| 13 | 2017 | 20 | |
| 14 | 2022 | 18 | |
| 15 | 2016 | 17 | |
| 16 | 2018 | 14 | |
| 17 | 2022 | 11 | |
| 18 | 2022 | 11 | |
| 19 | 2020 | 10 | |
| 20 | 2023 | 6 |
About David Heckmann
David Heckmann is a scholar working on Genetics, Health, Toxicology and Mutagenesis, Molecular Biology, Ecology and Small Animals, having authored 24 papers that have together received 1.2k indexed citations. Recurring topics across this work include Microbial Metabolic Engineering and Bioproduction (4 papers), Evolution and Genetic Dynamics (4 papers), Environmental Toxicology and Ecotoxicology (4 papers), Photosynthetic Processes and Mechanisms (4 papers), Bacterial Genetics and Biotechnology (3 papers), Animal testing and alternatives (2 papers), Physiological and biochemical adaptations (2 papers) and Gene Regulatory Network Analysis (2 papers). The work is most often cited by research in Molecular Biology (801 citations), Applied Microbiology and Biotechnology (25 citations), Molecular Medicine (65 citations), Ecology, Evolution, Behavior and Systematics (134 citations) and Health Informatics (14 citations). David Heckmann has collaborated with scholars based in Germany, United States and Denmark. Frequent co-authors include Martin J. Lercher, Andreas P.M. Weber, Bernhard Ørn Palsson, Udo Gowik, Peter Westhoff, Urte Schlüter, Nathan Mih, Erol S. Kavvas, Jonathan M. Monk and Colton J. Lloyd. Their work appears in journals such as Nature Communications, Frontiers in Physiology, Proceedings of the National Academy of Sciences, Molecular Plant and Journal of Experimental Botany.
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.