Michael Hiller
- Molecular Biology top 1%
- Genomics and Phylogenetic Studies 27
- RNA and protein synthesis mechanisms 27
- RNA Research and Splicing 25
- RNA modifications and cancer 18
- Genomics and Chromatin Dynamics 12
- Cancer Research top 2%
- Genetics top 1%
- Aging top 5%
- Developmental Neuroscience top 5%
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- Chromosomal and Genetic Variations 12
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- Bat Biology and Ecology Studies 11
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- Marine animal studies overview 7
Michael Hiller
96 papers receiving 6.8k citations
Hit Papers
Peers
Comparison fields: 5 of 142
- Molecular Biology 5.1k
- Cancer Research 864
- Genetics 1.2k
- Aging 60
- Developmental Neuroscience 141
Countries citing papers authored by Michael Hiller
This map shows the geographic impact of Michael Hiller'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 Hiller with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Michael Hiller more than expected).
Fields of papers citing papers by Michael Hiller
This network shows the impact of papers produced by Michael Hiller. 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 Hiller. The network helps show where Michael Hiller may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Michael Hiller, 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 | 2 | |
| 2 | 2025 | 1 | |
| 3 | 2025 | 9 | |
| 4 | 2025 | 1 | |
| 5 | 2024 | 2 | |
| 6 | 2024 | 8 | |
| 7 | 2023 | 17 | |
| 8 | 2022 | 8 | |
| 9 | 2022 | 13 | |
| 10 | 2022 | 29 | |
| 11 | 2021 | 34 | |
| 12 | 2021 | 7 | |
| 13 | 2021 | 4 | |
| 14 | 2020 | 5 | |
| 15 | 2020 | 24 | |
| 16 | 2020 | 25 | |
| 17 | Broad host range of SARS-CoV-2 predicted by comparative and structural analysis of ACE2 in vertebratesbreakdown → | 2020 | 414 |
| 18 | 2019 | 20 | |
| 19 | 2010 | 250 | |
| 20 | GREAT improves functional interpretation of cis-regulatory regionsbreakdown → | 2010 | 2888 |
About Michael Hiller
Michael Hiller is a scholar working on Developmental Biology, Molecular Biology, Sensory Systems, Ecology, Evolution, Behavior and Systematics and Genetics, having authored 100 papers that have together received 6.9k indexed citations. Recurring topics across this work include Genomics and Phylogenetic Studies (27 papers), RNA and protein synthesis mechanisms (27 papers), RNA Research and Splicing (25 papers), RNA modifications and cancer (18 papers), Genomics and Chromatin Dynamics (12 papers), Chromosomal and Genetic Variations (12 papers), Bat Biology and Ecology Studies (11 papers) and Marine animal studies overview (7 papers). The work is most often cited by research in Molecular Biology (5.1k citations), Cancer Research (864 citations), Genetics (1.2k citations), Aging (60 citations) and Developmental Neuroscience (141 citations). Michael Hiller has collaborated with scholars based in Germany, United States and United Kingdom. Frequent co-authors include Gill Bejerano, Bruce T. Schaar, Aaron M. Wenger, Craig B. Lowe, Shoa L. Clarke, Cory Y. McLean, Virag Sharma, Rolf Backofen, Nikolai Hecker and Matthias Platzer. Their work appears in journals such as Nucleic Acids Research, GigaScience, Molecular Biology and Evolution, Genome biology and Current Biology.
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.