María Gutiérrez‐Arcelus
- Molecular Biology top 10%
- Genetics top 2%
- Immunology top 10%
- Cancer Research top 10%
- Physiology top 10%
- Co-authors
- Emmanouil T. DermitzakisStephen B. MontgomeryCatherine IngleMichael SammethRoderic GuigóRadosław LachSoumya RaychaudhuriStephen S. Rich
- Topics
- Genetic Associations and Epidemiology (7 papers)T-cell and B-cell Immunology (6 papers)Genomics and Chromatin Dynamics (6 papers)
- Journals
- NatureCellNature Communications
- Partner nations
- United StatesUnited KingdomSwitzerland
In The Last Decade
María Gutiérrez‐Arcelus
29 papers receiving 2.2k citations
Hit Papers
Peers
Comparison fields: 5 of 121
- Molecular Biology 1.2k
- Genetics 761
- Immunology 395
- Cancer Research 299
- Physiology 223
Countries citing papers authored by María Gutiérrez‐Arcelus
This map shows the geographic impact of María Gutiérrez‐Arcelus'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 María Gutiérrez‐Arcelus with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites María Gutiérrez‐Arcelus more than expected).
Fields of papers citing papers by María Gutiérrez‐Arcelus
This network shows the impact of papers produced by María Gutiérrez‐Arcelus. 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 María Gutiérrez‐Arcelus. The network helps show where María Gutiérrez‐Arcelus may publish in the future.
Co-authorship network of co-authors of María Gutiérrez‐Arcelus
This figure shows the co-authorship network connecting the top 25 collaborators of María Gutiérrez‐Arcelus. A scholar is included among the top collaborators of María Gutiérrez‐Arcelus 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 María Gutiérrez‐Arcelus. María Gutiérrez‐Arcelus is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 8 | |
| 2 | 6 | |
| 3 | 4 | |
| 4 | 2 | |
| 5 | 4 | |
| 6 | 4 | |
| 7 | 22 | |
| 8 | 17 | |
| 9 | 6 | |
| 10 | 11 | |
| 11 | 102 | |
| 12 | 27 | |
| 13 | 16 | |
| 14 | 26 | |
| 15 | 58 | |
| 16 | 306 | |
| 17 | 69 | |
| 18 | 282 | |
| 19 | 9 | |
| 20 | Transcriptome genetics using second generation sequencing in a Caucasian populationbreakdown → | 572 |
About María Gutiérrez‐Arcelus
María Gutiérrez‐Arcelus is a scholar working on Aging, Immunology and Genetics, having authored 30 papers that have together received 2.2k indexed citations. Recurring topics across this work include Genetic Associations and Epidemiology (7 papers), T-cell and B-cell Immunology (6 papers) and Genomics and Chromatin Dynamics (6 papers). The work is most often cited by research in Aging (63 citations), Endocrine and Autonomic Systems (206 citations) and Genetics (761 citations). María Gutiérrez‐Arcelus has collaborated with scholars based in United States, United Kingdom and Switzerland. Frequent co-authors include Emmanouil T. Dermitzakis, Stephen B. Montgomery, Catherine Ingle, Michael Sammeth, Roderic Guigó, Radosław Lach, Soumya Raychaudhuri, Stephen S. Rich, Antigone S. Dimas and Gad Asher. Their work appears in journals such as Nature, Cell and Nature Communications.
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.