Michael Lappé
Impact in
- Molecular Biology top 10%
- Bioinformatics and Genomic Networks
- Protein Structure and Dynamics
- Microbial Metabolic Engineering and Bioproduction
- RNA and protein synthesis mechanisms
- Epigenetics and DNA Methylation
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- Computational Drug Discovery Methods
Papers in
-
- Protein Structure and Dynamics 13
- Bioinformatics and Genomic Networks 7
- Genomics and Phylogenetic Studies 4
- Machine Learning in Bioinformatics 3
- Epigenetics and DNA Methylation 2
- RNA modifications and cancer 2
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- Computational Drug Discovery Methods 2
- Co-authors
- R. J. C. Stewart (1 shared paper)Carsten Wiuf (1 shared paper)Michael P. H. Stumpf (1 shared paper)Eric de Silva (1 shared paper)Thomas Thorne (1 shared paper)Liisa U. Holm (7 shared papers)Henning Stehr (9 shared papers)José M. Duarte (7 shared papers)
- Journals
- Bioinformatics (4 papers)BMC Bioinformatics (3 papers)PLoS ONE (2 papers)Journal of Computational Biology (2 papers)Database (1 paper)
- Partner nations
- GermanyUnited KingdomFinland
In The Last Decade
Michael Lappé
33 papers receiving 1.6k citations
Peers
Comparison fields: 5 of 119
- Molecular Biology 1.2k
- Computational Theory and Mathematics 216
- Cancer Research 116
- Oncology 154
- Pathology and Forensic Medicine 88
Countries citing papers authored by Michael Lappé
This map shows the geographic impact of Michael Lappé'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 Michael Lappé with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Michael Lappé more than expected).
Fields of papers citing papers by Michael Lappé
This network shows the impact of papers produced by Michael Lappé. 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 Michael Lappé. The network helps show where Michael Lappé may publish in the future.
Co-authors
The 25 scholars most cited alongside Michael Lappé, 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 34 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2008 | 614 | |
| 2 | 2010 | 200 | |
| 3 | 2011 | 115 | |
| 4 | 2009 | 113 | |
| 5 | 2005 | 72 | |
| 6 | 2003 | 66 | |
| 7 | 2011 | 48 | |
| 8 | 2010 | 43 | |
| 9 | 2012 | 39 | |
| 10 | 2009 | 34 | |
| 11 | 2009 | 32 | |
| 12 | 2005 | 27 | |
| 13 | 2001 | 26 | |
| 14 | 2011 | 25 | |
| 15 | 2022 | 24 | |
| 16 | 2010 | 24 | |
| 17 | 2018 | 21 | |
| 18 | 2007 | 18 | |
| 19 | 2004 | 17 | |
| 20 | 2006 | 15 |
About Michael Lappé
Michael Lappé is a scholar working on Molecular Biology, Computational Theory and Mathematics, Ecology, Aging and Materials Chemistry, having authored 34 papers that have together received 1.7k indexed citations. Recurring topics across this work include Protein Structure and Dynamics (13 papers), Bioinformatics and Genomic Networks (7 papers), Genomics and Phylogenetic Studies (4 papers), Enzyme Structure and Function (4 papers), Machine Learning in Bioinformatics (3 papers), Computational Drug Discovery Methods (2 papers), Epigenetics and DNA Methylation (2 papers) and RNA modifications and cancer (2 papers). The work is most often cited by research in Molecular Biology (1.2k citations), Computational Theory and Mathematics (216 citations), Cancer Research (116 citations), Oncology (154 citations) and Pathology and Forensic Medicine (88 citations). Michael Lappé has collaborated with scholars based in Germany, United Kingdom and Finland. Frequent co-authors include R. J. C. Stewart, Carsten Wiuf, Michael P. H. Stumpf, Eric de Silva, Thomas Thorne, Liisa U. Holm, Henning Stehr, José M. Duarte, Ioannis Filippis and Hans R. Lehrach. Their work appears in journals such as Bioinformatics, BMC Bioinformatics, PLoS ONE, Journal of Computational Biology and Database.
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.