Maximilian Hecht
- Molecular Biology top 10%
- Genetics top 10%
- Plant Science
- Cell Biology
- Epidemiology
- Co-authors
- Burkhard RostYana BrombergPeter HönigschmidTobias HampEdda KloppmannGerrit VriendMarco PuntaAndrea Schafferhans
- Topics
- Genomics and Rare Diseases (4 papers)Genomics and Phylogenetic Studies (4 papers)Bioinformatics and Genomic Networks (2 papers)
- Partner nations
- GermanyUnited StatesUnited Kingdom
In The Last Decade
Maximilian Hecht
6 papers receiving 1.0k citations
Hit Papers
Peers
Comparison fields: 5 of 109
- Molecular Biology 724
- Genetics 261
- Plant Science 98
- Cell Biology 73
- Epidemiology 66
Countries citing papers authored by Maximilian Hecht
This map shows the geographic impact of Maximilian Hecht'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 Maximilian Hecht with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Maximilian Hecht more than expected).
Fields of papers citing papers by Maximilian Hecht
This network shows the impact of papers produced by Maximilian Hecht. 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 Maximilian Hecht. The network helps show where Maximilian Hecht may publish in the future.
Co-authorship network of co-authors of Maximilian Hecht
This figure shows the co-authorship network connecting the top 25 collaborators of Maximilian Hecht. A scholar is included among the top collaborators of Maximilian Hecht based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Maximilian Hecht. Maximilian Hecht is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 16 | |
| 2 | 12 | |
| 3 | Better prediction of functional effects for sequence variantsbreakdown → | 417 |
| 4 | PredictProtein—an open resource for online prediction of protein structural and functional featuresbreakdown → | 455 |
| 5 | 51 | |
| 6 | 66 |
About Maximilian Hecht
Maximilian Hecht is a scholar working on Genetics, Molecular Biology and Computational Theory and Mathematics, having authored 6 papers that have together received 1.0k indexed citations. Recurring topics across this work include Genomics and Rare Diseases (4 papers), Genomics and Phylogenetic Studies (4 papers) and Bioinformatics and Genomic Networks (2 papers). The work is most often cited by research in Molecular Biology (724 citations), Genetics (261 citations) and Cell Biology (73 citations). Maximilian Hecht has collaborated with scholars based in Germany, United States and United Kingdom. Frequent co-authors include Burkhard Rost, Yana Bromberg, Peter Hönigschmid, Tobias Hamp, Edda Kloppmann, Gerrit Vriend, Marco Punta, Andrea Schafferhans, Avner Schlessinger and Reinhard Schneider. Their work appears in journals such as Nucleic Acids Research, Journal of Molecular Biology and Scientific Reports.
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.