Rubén Gil‐Redondo
- Molecular Biology
- Infectious Diseases top 10%
- Epidemiology
- Neurology
- Computational Theory and Mathematics top 10%
- Co-authors
- Antonio MorrealeNieves EmbadeÓscar MilletÁngel R. OrtízFederico GagoChiara BruzzoneJosé M. MatoJavier Klett
- Topics
- Metabolomics and Mass Spectrometry Studies (8 papers)Computational Drug Discovery Methods (7 papers)Protein Structure and Dynamics (5 papers)
- Partner nations
- SpainUnited StatesGermany
In The Last Decade
Rubén Gil‐Redondo
28 papers receiving 641 citations
Peers
Comparison fields: 5 of 94
- Molecular Biology 419
- Infectious Diseases 162
- Epidemiology 97
- Neurology 72
- Computational Theory and Mathematics 62
Countries citing papers authored by Rubén Gil‐Redondo
This map shows the geographic impact of Rubén Gil‐Redondo'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 Rubén Gil‐Redondo with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Rubén Gil‐Redondo more than expected).
Fields of papers citing papers by Rubén Gil‐Redondo
This network shows the impact of papers produced by Rubén Gil‐Redondo. 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 Rubén Gil‐Redondo. The network helps show where Rubén Gil‐Redondo may publish in the future.
Co-authorship network of co-authors of Rubén Gil‐Redondo
This figure shows the co-authorship network connecting the top 25 collaborators of Rubén Gil‐Redondo. A scholar is included among the top collaborators of Rubén Gil‐Redondo based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Rubén Gil‐Redondo. Rubén Gil‐Redondo is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 1 | |
| 2 | 7 | |
| 3 | 13 | |
| 4 | 3 | |
| 5 | 0 | |
| 6 | 3 | |
| 7 | 34 | |
| 8 | 12 | |
| 9 | 151 | |
| 10 | 21 | |
| 11 | 29 | |
| 12 | Randomised clinical trial: a leucine-metformin-sildenafil combination (NS-0200) vs placebo in patients with non-alcoholic fatty liver disease | 1 |
| 13 | 29 | |
| 14 | 8 | |
| 15 | 9 | |
| 16 | 16 | |
| 17 | 20 | |
| 18 | 18 | |
| 19 | 18 | |
| 20 | 28 |
About Rubén Gil‐Redondo
Rubén Gil‐Redondo is a scholar working on Computational Theory and Mathematics, Biological Psychiatry and Clinical Biochemistry, having authored 29 papers that have together received 647 indexed citations. Recurring topics across this work include Metabolomics and Mass Spectrometry Studies (8 papers), Computational Drug Discovery Methods (7 papers) and Protein Structure and Dynamics (5 papers). The work is most often cited by research in Biological Psychiatry (28 citations), Infectious Diseases (162 citations) and Molecular Biology (419 citations). Rubén Gil‐Redondo has collaborated with scholars based in Spain, United States and Germany. Frequent co-authors include Antonio Morreale, Nieves Embade, Óscar Millet, Ángel R. Ortíz, Federico Gago, Chiara Bruzzone, José M. Mato, Javier Klett, Maider Bizkarguenaga and Álvaro Cortés-Cabrera. Their work appears in journals such as Biochemistry, Scientific Reports and Biochemical 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.