Jaime Huerta‐Cepas
- Molecular Biology top 0.05%
- Plant Science top 0.2%
- Cancer Research top 0.2%
- Ecology top 0.5%
- Genetics top 0.5%
- Co-authors
- Peer BorkChristian von MeringDamian SzklarczykLars Juhl JensenStefan WyderMilan SimonovicSofia K. ForslundAnnika L. Gable
- Topics
- Genomics and Phylogenetic Studies (38 papers)Bioinformatics and Genomic Networks (11 papers)Microbial Community Ecology and Physiology (10 papers)
- Partner nations
- SpainGermanySwitzerland
In The Last Decade
Jaime Huerta‐Cepas
58 papers receiving 30.6k citations
Hit Papers
Peers
Comparison fields: 5 of 192
- Molecular Biology 19.3k
- Plant Science 3.8k
- Cancer Research 3.3k
- Ecology 3.2k
- Genetics 3.1k
Countries citing papers authored by Jaime Huerta‐Cepas
This map shows the geographic impact of Jaime Huerta‐Cepas'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 Jaime Huerta‐Cepas with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jaime Huerta‐Cepas more than expected).
Fields of papers citing papers by Jaime Huerta‐Cepas
This network shows the impact of papers produced by Jaime Huerta‐Cepas. 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 Jaime Huerta‐Cepas. The network helps show where Jaime Huerta‐Cepas may publish in the future.
Co-authorship network of co-authors of Jaime Huerta‐Cepas
This figure shows the co-authorship network connecting the top 25 collaborators of Jaime Huerta‐Cepas. A scholar is included among the top collaborators of Jaime Huerta‐Cepas 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 Jaime Huerta‐Cepas. Jaime Huerta‐Cepas is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 11 | |
| 2 | 8 | |
| 3 | 17 | |
| 4 | 15 | |
| 5 | 42 | |
| 6 | eggNOG 6.0: enabling comparative genomics across 12 535 organismsbreakdown → | 144 |
| 7 | 4 | |
| 8 | 13 | |
| 9 | 67 | |
| 10 | 243 | |
| 11 | 36 | |
| 12 | STRING v11: protein–protein association networks with increased coverage, supporting functional discovery in genome-wide experimental datasetsbreakdown → | 11663 |
| 13 | 88 | |
| 14 | eggNOG 4.5: a hierarchical orthology framework with improved functional annotations for eukaryotic, prokaryotic and viral sequencesbreakdown → | 1528 |
| 15 | 9 | |
| 16 | 79 | |
| 17 | eggNOG v4.0: nested orthology inference across 3686 organismsbreakdown → | 492 |
| 18 | 149 | |
| 19 | 57 | |
| 20 | 121 |
About Jaime Huerta‐Cepas
Jaime Huerta‐Cepas is a scholar working on Molecular Biology, Ecological Modeling and Paleontology, having authored 59 papers that have together received 30.8k indexed citations. Recurring topics across this work include Genomics and Phylogenetic Studies (38 papers), Bioinformatics and Genomic Networks (11 papers) and Microbial Community Ecology and Physiology (10 papers). The work is most often cited by research in Molecular Biology (19.3k citations), Cancer Research (3.3k citations) and Ecology (3.2k citations). Jaime Huerta‐Cepas has collaborated with scholars based in Spain, Germany and Switzerland. Frequent co-authors include Peer Bork, Christian von Mering, Damian Szklarczyk, Lars Juhl Jensen, Stefan Wyder, Milan Simonovic, Sofia K. Forslund, Annika L. Gable, David Lyon and John H. Morris. Their work appears in journals such as Nature, Science and Cell.
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.