María Gutiérrez‐Arcelus

9.4k total citations · 1 hit paper
30 papers, 2.2k citations indexed

About

María Gutiérrez‐Arcelus is a scholar working on Molecular Biology, Genetics and Immunology. According to data from OpenAlex, María Gutiérrez‐Arcelus has authored 30 papers receiving a total of 2.2k indexed citations (citations by other indexed papers that have themselves been cited), including 14 papers in Molecular Biology, 12 papers in Genetics and 10 papers in Immunology. Recurrent topics in María Gutiérrez‐Arcelus's work include Genetic Associations and Epidemiology (7 papers), T-cell and B-cell Immunology (6 papers) and Genomics and Chromatin Dynamics (6 papers). María Gutiérrez‐Arcelus is often cited by papers focused on Genetic Associations and Epidemiology (7 papers), T-cell and B-cell Immunology (6 papers) and Genomics and Chromatin Dynamics (6 papers). María Gutiérrez‐Arcelus collaborates with scholars based in United States, United Kingdom and Switzerland. María Gutiérrez‐Arcelus's 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 and has published in prestigious journals such as Nature, Cell and Nature Communications.

In The Last Decade

María Gutiérrez‐Arcelus

29 papers receiving 2.2k citations

Hit Papers

Transcriptome genetics using second generation sequencing... 2010 2026 2015 2020 2010 100 200 300 400 500

Peers

María Gutiérrez‐Arcelus
Comparison fields: 5 of 121
  • Molecular Biology 1.2k
  • Genetics 761
  • Immunology 395
  • Cancer Research 299
  • Physiology 223
Replace Zoë Webster with:
Zoë Webster United Kingdom
Lukas Chávez United States
Yiing Lin United States
Maya Kasowski United States
Eurie L. Hong United States
Antigone S. Dimas United Kingdom
Ada Piepoli Italy
Claude Beazley United Kingdom
Patricia L. Podolin United States
Marc A. Schaub United States
Zoë Webster United Kingdom View profile →
Citations per field, relative to María Gutiérrez‐Arcelus
María Gutiérrez‐Arcelus · 1×
Citations per year, relative to María Gutiérrez‐Arcelus
María Gutiérrez‐Arcelus · 1×

Countries citing papers authored by María Gutiérrez‐Arcelus

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

20 of 20 papers shown
# 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 population breakdown →
572

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.

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