Diana Guallar

1.6k total citations
23 papers, 444 citations indexed

About

Diana Guallar is a scholar working on Molecular Biology, Surgery and Cellular and Molecular Neuroscience. According to data from OpenAlex, Diana Guallar has authored 23 papers receiving a total of 444 indexed citations (citations by other indexed papers that have themselves been cited), including 23 papers in Molecular Biology, 2 papers in Surgery and 2 papers in Cellular and Molecular Neuroscience. Recurrent topics in Diana Guallar's work include Pluripotent Stem Cells Research (14 papers), CRISPR and Genetic Engineering (9 papers) and Renal and related cancers (8 papers). Diana Guallar is often cited by papers focused on Pluripotent Stem Cells Research (14 papers), CRISPR and Genetic Engineering (9 papers) and Renal and related cancers (8 papers). Diana Guallar collaborates with scholars based in Spain, United States and China. Diana Guallar's co-authors include Jianlong Wang, Miguel Fidalgo, Xin Huang, Junjun Ding, Raquel Pérez-Palacios, Pedro Muniesa, Jon Schoorlemmer, Arven Saunders, Carlos Sánchez-Priego and Francesco Faiola and has published in prestigious journals such as Nucleic Acids Research, Molecular Cell and Scientific Reports.

In The Last Decade

Diana Guallar

22 papers receiving 442 citations

Peers

Diana Guallar
Comparison fields: 5 of 51
  • Molecular Biology 402
  • Cancer Research 49
  • Plant Science 45
  • Genetics 44
  • Oncology 31
Replace Amanda E. Conway with:
Amanda E. Conway United States
Jia-Chi Yeo Singapore
Sophia Lewis United States
Sara Isaac Israel
Joana Catarina Macedo Portugal
Vladislav Krupalnik Israel
Yasunao Kamikawa Japan
Bobbie Pelham‐Webb United States
Tim Lohoff United Kingdom
Dylan Mooijman Netherlands
Amanda E. Conway United States View profile →
Citations per field, relative to Diana Guallar
Diana Guallar · 1×
Citations per year, relative to Diana Guallar
Diana Guallar · 1×

Countries citing papers authored by Diana Guallar

Since Specialization
Citations

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

Fields of papers citing papers by Diana Guallar

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Diana Guallar

This figure shows the co-authorship network connecting the top 25 collaborators of Diana Guallar. A scholar is included among the top collaborators of Diana Guallar 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 Diana Guallar. Diana Guallar 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 3
2 2
3 5
4 2
5 12
6 2
7 10
8 0
9 7
10 13
11 23
12 14
13 11
14 70
15 75
16 47
17 28
18 13
19 39
20 1

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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