Dolores Martínez

3.7k citations
22 papers · 2.7k indexed · 2 hit papers · h-index 16
Topics
Neuroscience and Neural Engineering (6 papers)Epigenetics and DNA Methylation (4 papers)T-cell and B-cell Immunology (4 papers)

In The Last Decade

Dolores Martínez

22 papers receiving 2.6k citations

Hit Papers

Identification of a dendritic cell receptor that couples ...200520262012201920092005100200300400500

Peers

Dolores Martínez
Comparison fields: 5 of 107
  • Molecular Biology 1.7k
  • Immunology 735
  • Cancer Research 580
  • Oncology 478
  • Physiology 265
Replace Gustavo Gutierrez-Cruz with:
Gustavo Gutierrez-Cruz United States
Miller Huang United States
Fernando Setién Spain
Elizabeth E. Reczek United States
Georg Beckmann Germany
Yijie Gao China
Yasuhiro Murakawa Japan
Carlos‐Filipe Pereira Portugal
Jan Parker‐Thornburg United States
Stephan Sauer United Kingdom
Dolores Martínez relative to Gustavo Gutierrez-Cruz United States Gustavo Gutierrez-Cruz's profile →
Citations per field
00.5×1.5×2.0×
Gustavo Gutierrez-Cruz · 1×
Citations per year

Countries citing papers authored by Dolores Martínez

Since Specialization
Citations

This map shows the geographic impact of Dolores Martínez'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 Dolores Martínez with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Dolores Martínez more than expected).

Fields of papers citing papers by Dolores Martínez

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Dolores Martínez. 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 Dolores Martínez. The network helps show where Dolores Martínez may publish in the future.

Co-authorship network of co-authors of Dolores Martínez

This figure shows the co-authorship network connecting the top 25 collaborators of Dolores Martínez. A scholar is included among the top collaborators of Dolores Martínez 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 Dolores Martínez. Dolores Martínez 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
#WorkIndexed citations
1 16
2 14
3 12
4 58
5 81
6 24
7 377
8 12
9 14
10 23
11 15
12 21
13 88
14 13
15
Identification of a dendritic cell receptor that couples sensing of necrosis to immunitybreakdown →
561
16 39
17 135
18
Glycolytic Enzymes Can Modulate Cellular Life Spanbreakdown →
525
19 198
20 254

About Dolores Martínez

Dolores Martínez is a scholar working on Cellular and Molecular Neuroscience, Cancer Research and Physiology, having authored 22 papers that have together received 2.7k indexed citations. Recurring topics across this work include Neuroscience and Neural Engineering (6 papers), Epigenetics and DNA Methylation (4 papers) and T-cell and B-cell Immunology (4 papers). The work is most often cited by research in Aging (87 citations), Cancer Research (580 citations) and Immunology (735 citations). Dolores Martínez has collaborated with scholars based in Spain, United Kingdom and Canada. Frequent co-authors include Jesús Gil, David Bernard, David Sancho, Olivier Joffre, Neil C. Rogers, Ian Rosewell, Caetano Reis e Sousa, Patricia Hernanz‐Falcón, Anna M. Keller and Gordon Peters. Their work appears in journals such as Nature, Proceedings of the National Academy of Sciences 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.

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