Hernán G. García
- Molecular Biology top 2%
- Gene Regulatory Network Analysis 36
- Genomics and Chromatin Dynamics 18
- RNA Research and Splicing 11
- RNA and protein synthesis mechanisms 8
- Single-cell and spatial transcriptomics 7
- DNA and Nucleic Acid Chemistry 5
- Biophysics top 1%
- Aging top 5%
- Genetics top 2%
- Bacterial Genetics and Biotechnology 15
- Evolution and Genetic Dynamics 10
- Cell Biology top 10%
- Co-authors
- Rob PhillipsJané KondevThomas GregorTerence HwaNicolas E. BuchlerUlrich GerlandLacramioara BintuJacques P. Bothma
- Cited by
- Molecular BiologyBiophysicsAging
- Journals
- Cell (3 papers)Proceedings of the National Academy of Sciences (5 papers)Physical Review Letters (1 paper)
- Partner nations
- United StatesChileGermany
In The Last Decade
Hernán G. García
68 papers receiving 3.6k citations
Hit Papers
Peers
Comparison fields: 5 of 137
- Molecular Biology 3.2k
- Biophysics 255
- Aging 63
- Genetics 920
- Cell Biology 210
Countries citing papers authored by Hernán G. García
This map shows the geographic impact of Hernán G. García'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 Hernán G. García with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Hernán G. García more than expected).
Fields of papers citing papers by Hernán G. García
This network shows the impact of papers produced by Hernán G. García. 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 Hernán G. García. The network helps show where Hernán G. García may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Hernán G. García, 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 | 0 | |
| 2 | 2024 | 4 | |
| 3 | 2024 | 7 | |
| 4 | 2024 | 1 | |
| 5 | 2024 | 0 | |
| 6 | 2024 | 3 | |
| 7 | 2023 | 4 | |
| 8 | 2023 | 13 | |
| 9 | 2021 | 18 | |
| 10 | 2021 | 57 | |
| 11 | 2020 | 29 | |
| 12 | 2019 | 56 | |
| 13 | 2019 | 6 | |
| 14 | 2017 | 134 | |
| 15 | 2017 | 1 | |
| 16 | 2014 | 178 | |
| 17 | 2013 | 45 | |
| 18 | 2011 | 41 | |
| 19 | 2010 | 33 | |
| 20 | 2005 | 22 |
About Hernán G. García
Hernán G. García is a scholar working on Biophysics, Molecular Biology and Genetics, having authored 71 papers that have together received 3.7k indexed citations. Recurring topics across this work include Gene Regulatory Network Analysis (36 papers), Genomics and Chromatin Dynamics (18 papers), Bacterial Genetics and Biotechnology (15 papers), RNA Research and Splicing (11 papers), Evolution and Genetic Dynamics (10 papers), RNA and protein synthesis mechanisms (8 papers), Single-cell and spatial transcriptomics (7 papers) and DNA and Nucleic Acid Chemistry (5 papers). The work is most often cited by research in Molecular Biology (3.2k citations), Biophysics (255 citations) and Aging (63 citations). Hernán G. García has collaborated with scholars based in United States, Chile and Germany. Frequent co-authors include Rob Phillips, Jané Kondev, Thomas Gregor, Terence Hwa, Nicolas E. Buchler, Ulrich Gerland, Lacramioara Bintu, Jacques P. Bothma, Nicholas C Lammers and Albert Lin. Their work appears in journals such as Cell, Proceedings of the National Academy of Sciences and Physical Review Letters.
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.