Fabian Glaser
Impact in
- Molecular Biology top 1%
- Protein Structure and Dynamics
- RNA and protein synthesis mechanisms
- Genomics and Phylogenetic Studies
- Machine Learning in Bioinformatics
-
- Computational Drug Discovery Methods
Papers in
-
- Protein Structure and Dynamics 15
- RNA and protein synthesis mechanisms 10
- Genomics and Phylogenetic Studies 9
- Photosynthetic Processes and Mechanisms 7
- RNA Research and Splicing 6
- Co-authors
- Nir Ben‐TalTal PupkoEric MartzItay MayroseInbal PazY. RosenbergMeytal LandauRachel E. Bell
- Journals
- Nucleic Acids Research (7 papers)Proteins Structure Function and Bioinformatics (5 papers)Bioinformatics (4 papers)Journal of Biological Chemistry (4 papers)The ISME Journal (3 papers)
- Partner nations
- IsraelUnited StatesUnited Kingdom
In The Last Decade
Fabian Glaser
76 papers receiving 6.1k citations
Hit Papers
Peers
Comparison fields: 5 of 142
- Molecular Biology 4.6k
- Computational Theory and Mathematics 536
- Sensory Systems 162
- Cell Biology 459
- Genetics 707
Countries citing papers authored by Fabian Glaser
This map shows the geographic impact of Fabian Glaser'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 Fabian Glaser with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Fabian Glaser more than expected).
Fields of papers citing papers by Fabian Glaser
This network shows the impact of papers produced by Fabian Glaser. 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 Fabian Glaser. The network helps show where Fabian Glaser may publish in the future.
Co-authors
The 25 scholars most cited alongside Fabian Glaser, 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 | 4 | |
| 2 | 2024 | 4 | |
| 3 | 2024 | 3 | |
| 4 | 2024 | 2 | |
| 5 | 2022 | 23 | |
| 6 | 2022 | 9 | |
| 7 | 2022 | 12 | |
| 8 | 2022 | 5 | |
| 9 | 2020 | 31 | |
| 10 | 2018 | 65 | |
| 11 | 2018 | 12 | |
| 12 | 2013 | 36 | |
| 13 | 2013 | 17 | |
| 14 | 2013 | 24 | |
| 15 | 2013 | 12 | |
| 16 | 2011 | 29 | |
| 17 | 2007 | 44 | |
| 18 | 2007 | 51 | |
| 19 | 2005 | 33 | |
| 20 | ConSurf: Identification of Functional Regions in Proteinsby Surface-Mapping of Phylogenetic Information Hit paper breakdown → | 2002 | 993 |
About Fabian Glaser
Fabian Glaser is a scholar working on Molecular Biology, Hematology, Virology, Nutrition and Dietetics and Infectious Diseases, having authored 76 papers that have together received 6.2k indexed citations. Recurring topics across this work include Protein Structure and Dynamics (15 papers), RNA and protein synthesis mechanisms (10 papers), Genomics and Phylogenetic Studies (9 papers), Enzyme Structure and Function (7 papers), Photosynthetic Processes and Mechanisms (7 papers), Bacteriophages and microbial interactions (6 papers), Trace Elements in Health (6 papers) and RNA Research and Splicing (6 papers). The work is most often cited by research in Molecular Biology (4.6k citations), Computational Theory and Mathematics (536 citations), Sensory Systems (162 citations), Cell Biology (459 citations) and Genetics (707 citations). Fabian Glaser has collaborated with scholars based in Israel, United States and United Kingdom. Frequent co-authors include Nir Ben‐Tal, Tal Pupko, Eric Martz, Itay Mayrose, Inbal Paz, Y. Rosenberg, Meytal Landau, Rachel E. Bell, Ilya A. Vakser and David M. Steinberg. Their work appears in journals such as Nucleic Acids Research, Proteins Structure Function and Bioinformatics, Bioinformatics, Journal of Biological Chemistry and The ISME Journal.
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.