Daniel Fischer
- Molecular Biology top 1%
- Protein Structure and Dynamics 30
- Machine Learning in Bioinformatics 19
- RNA and protein synthesis mechanisms 17
- Genomics and Phylogenetic Studies 17
- Aging top 5%
- Materials Chemistry top 5%
- Enzyme Structure and Function 23
- Microbiology top 5%
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- Bacteriophages and microbial interactions 8
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- Genetic and phenotypic traits in livestock 8
- Genetic Mapping and Diversity in Plants and Animals 8
- Co-authors
- Leszek RychlewskiArne ElofssonDavid EisenbergNaomi SiewKrzysztof GinalskiRuth NussinovHaim J. WolfsonJanusz M. Bujnicki
- Journals
- Proteins Structure Function and Bioinformatics (14 papers)Protein Engineering Design and Selection (7 papers)Bioinformatics (6 papers)
- Partner nations
- IsraelUnited StatesFinland
In The Last Decade
Daniel Fischer
101 papers receiving 4.9k citations
Hit Papers
Peers
Comparison fields: 5 of 163
- Molecular Biology 4.0k
- Aging 60
- Materials Chemistry 1.5k
- Computational Theory and Mathematics 378
- Microbiology 103
Countries citing papers authored by Daniel Fischer
This map shows the geographic impact of Daniel Fischer'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 Daniel Fischer with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Daniel Fischer more than expected).
Fields of papers citing papers by Daniel Fischer
This network shows the impact of papers produced by Daniel Fischer. 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 Daniel Fischer. The network helps show where Daniel Fischer may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Daniel Fischer, 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 | 2025 | 1 | |
| 2 | 2025 | 0 | |
| 3 | 2024 | 4 | |
| 4 | 2023 | 3 | |
| 5 | 2023 | 3 | |
| 6 | 2023 | 9 | |
| 7 | 2020 | 3 | |
| 8 | 2020 | 12 | |
| 9 | 2017 | 9 | |
| 10 | 2015 | 7 | |
| 11 | 2013 | 11 | |
| 12 | 2009 | 4 | |
| 13 | 2003 | 84 | |
| 14 | 2003 | 7 | |
| 15 | 2001 | 170 | |
| 16 | 2001 | 177 | |
| 17 | 1996 | 264 | |
| 18 | 1996 | 38 | |
| 19 | 1993 | 8 | |
| 20 | Giotto's Curtain Call | 1992 | 0 |
About Daniel Fischer
Daniel Fischer is a scholar working on Molecular Biology, Aging, Materials Chemistry, Genetics and Agronomy and Crop Science, having authored 105 papers that have together received 5.1k indexed citations. Recurring topics across this work include Protein Structure and Dynamics (30 papers), Enzyme Structure and Function (23 papers), Machine Learning in Bioinformatics (19 papers), RNA and protein synthesis mechanisms (17 papers), Genomics and Phylogenetic Studies (17 papers), Bacteriophages and microbial interactions (8 papers), Genetic and phenotypic traits in livestock (8 papers) and Genetic Mapping and Diversity in Plants and Animals (8 papers). The work is most often cited by research in Molecular Biology (4.0k citations), Aging (60 citations), Materials Chemistry (1.5k citations), Computational Theory and Mathematics (378 citations) and Microbiology (103 citations). Daniel Fischer has collaborated with scholars based in Israel, United States and Finland. Frequent co-authors include Leszek Rychlewski, Arne Elofsson, David Eisenberg, Naomi Siew, Krzysztof Ginalski, Ruth Nussinov, Haim J. Wolfson, Janusz M. Bujnicki, Yanbin Yin and Danny W. Rice. Their work appears in journals such as Proteins Structure Function and Bioinformatics, Protein Engineering Design and Selection, Bioinformatics, PLoS ONE and Protein Science.
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.