Germán Rivas
Impact in
- Molecular Biology top 0.5%
- Protein Structure and Dynamics
- RNA and protein synthesis mechanisms
- Lipid Membrane Structure and Behavior
- RNA Research and Splicing
- Genetics top 0.5%
- Bacterial Genetics and Biotechnology
Papers in
- Co-authors
- Allen P. MintonHuan‐Xiang ZhouCarlos AlfonsoFrancisco J. BlancoLuís SerranoSilvia ZorrillaMiguel VicenteMercedes Jiménez
- Journals
- Journal of Biological Chemistry (27 papers)Biochemistry (15 papers)Biochemical Journal (7 papers)Biophysical Journal (7 papers)Analytical Biochemistry (6 papers)
- Partner nations
- SpainUnited StatesGermany
In The Last Decade
Germán Rivas
181 papers receiving 8.9k citations
Hit Papers
Peers
Comparison fields: 5 of 145
- Molecular Biology 6.4k
- Genetics 1.9k
- Cell Biology 1.1k
- Ecology 1.3k
- Biophysics 285
Countries citing papers authored by Germán Rivas
This map shows the geographic impact of Germán Rivas'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 Germán Rivas with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Germán Rivas more than expected).
Fields of papers citing papers by Germán Rivas
This network shows the impact of papers produced by Germán Rivas. 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 Germán Rivas. The network helps show where Germán Rivas may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Germán Rivas, 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 | 2024 | 1 | |
| 2 | 2024 | 2 | |
| 3 | 2024 | 41 | |
| 4 | 2024 | 2 | |
| 5 | 2023 | 4 | |
| 6 | 2023 | 5 | |
| 7 | 2023 | 11 | |
| 8 | 2021 | 12 | |
| 9 | 2020 | 12 | |
| 10 | 2019 | 13 | |
| 11 | 2018 | 28 | |
| 12 | 2018 | 86 | |
| 13 | 2018 | 79 | |
| 14 | 2016 | 21 | |
| 15 | Structural characterization of toxic oligomers that are kinetically trapped during α-synuclein fibril formation Hit paper breakdown → | 2015 | 368 |
| 16 | 2015 | 28 | |
| 17 | 2013 | 2 | |
| 18 | 2007 | 32 | |
| 19 | 2006 | 136 | |
| 20 | 1995 | 8 |
About Germán Rivas
Germán Rivas is a scholar working on Genetics, Ecology, Molecular Biology, Cell Biology and Endocrinology, having authored 181 papers that have together received 9.0k indexed citations. Recurring topics across this work include Bacterial Genetics and Biotechnology (73 papers), Bacteriophages and microbial interactions (55 papers), Protein Structure and Dynamics (41 papers), Enzyme Structure and Function (27 papers), RNA and protein synthesis mechanisms (26 papers), Lipid Membrane Structure and Behavior (21 papers), Protein purification and stability (12 papers) and Platelet Disorders and Treatments (9 papers). The work is most often cited by research in Molecular Biology (6.4k citations), Genetics (1.9k citations), Cell Biology (1.1k citations), Ecology (1.3k citations) and Biophysics (285 citations). Germán Rivas has collaborated with scholars based in Spain, United States and Germany. Frequent co-authors include Allen P. Minton, Huan‐Xiang Zhou, Carlos Alfonso, Francisco J. Blanco, Luís Serrano, Silvia Zorrilla, Miguel Vicente, Mercedes Jiménez, Jesús Mingorance and Marisela Vélez. Their work appears in journals such as Journal of Biological Chemistry, Biochemistry, Biochemical Journal, Biophysical Journal and Analytical Biochemistry.
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.