Fidel Ramírez
- Molecular Biology top 0.5%
- Genomics and Chromatin Dynamics 8
- Bioinformatics and Genomic Networks 7
- Genomics and Phylogenetic Studies 7
- Gene expression and cancer classification 6
- Extracellular vesicles in disease 4
- Single-cell and spatial transcriptomics 4
- Aging top 2%
- Cancer Research top 2%
- Plant Science top 0.5%
- Chromosomal and Genetic Variations 5
- Immunology top 2%
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- Interstitial Lung Diseases and Idiopathic Pulmonary Fibrosis 6
- Co-authors
- Thomas MankeBjörn GrüningFriederike DündarVivek BhardwajDevon RyanFabian KilpertAndreas S. RichterSteffen Heyne
- Partner nations
- GermanyUnited StatesFrance
In The Last Decade
Fidel Ramírez
30 papers receiving 10.4k citations
Hit Papers
Peers
Comparison fields: 5 of 157
- Molecular Biology 8.2k
- Aging 118
- Cancer Research 990
- Plant Science 2.2k
- Immunology 931
Countries citing papers authored by Fidel Ramírez
This map shows the geographic impact of Fidel Ramírez'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 Fidel Ramírez with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Fidel Ramírez more than expected).
Fields of papers citing papers by Fidel Ramírez
This network shows the impact of papers produced by Fidel Ramírez. 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 Fidel Ramírez. The network helps show where Fidel Ramírez may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Fidel Ramírez, 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 | 2025 | 1 | |
| 3 | 2024 | 27 | |
| 4 | 2024 | 2 | |
| 5 | 2023 | 8 | |
| 6 | 2022 | 21 | |
| 7 | 2022 | 5 | |
| 8 | 2020 | 247 | |
| 9 | 2019 | 33 | |
| 10 | 2019 | 38 | |
| 11 | 2018 | 22 | |
| 12 | High-resolution TADs reveal DNA sequences underlying genome organization in fliesbreakdown → | 2018 | 543 |
| 13 | GOATOOLS: A Python library for Gene Ontology analysesbreakdown → | 2018 | 724 |
| 14 | 2018 | 59 | |
| 15 | 2015 | 58 | |
| 16 | deepTools: a flexible platform for exploring deep-sequencing databreakdown → | 2014 | 2106 |
| 17 | 2014 | 237 | |
| 18 | 2013 | 96 | |
| 19 | 2009 | 2 | |
| 20 | 2007 | 52 |
About Fidel Ramírez
Fidel Ramírez is a scholar working on Molecular Biology, Immunology, Periodontics, Pharmacy and Pulmonary and Respiratory Medicine, having authored 34 papers that have together received 10.5k indexed citations. Recurring topics across this work include Genomics and Chromatin Dynamics (8 papers), Bioinformatics and Genomic Networks (7 papers), Genomics and Phylogenetic Studies (7 papers), Interstitial Lung Diseases and Idiopathic Pulmonary Fibrosis (6 papers), Gene expression and cancer classification (6 papers), Chromosomal and Genetic Variations (5 papers), Extracellular vesicles in disease (4 papers) and Single-cell and spatial transcriptomics (4 papers). The work is most often cited by research in Molecular Biology (8.2k citations), Aging (118 citations), Cancer Research (990 citations), Plant Science (2.2k citations) and Immunology (931 citations). Fidel Ramírez has collaborated with scholars based in Germany, United States and France. Frequent co-authors include Thomas Manke, Björn Grüning, Friederike Dündar, Vivek Bhardwaj, Devon Ryan, Fabian Kilpert, Andreas S. Richter, Steffen Heyne, Sarah Diehl and Thomas Lengauer. Their work appears in journals such as Bioinformatics, Nucleic Acids Research, Nature Communications, Molecular Cell and American Journal of Respiratory Cell and Molecular 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.