Verónica Ramírez‐Alcántara

401 citations
19 papers · 222 indexed · h-index 7
Topics
Phosphodiesterase function and regulation (8 papers)Inflammatory mediators and NSAID effects (5 papers)Cancer Mechanisms and Therapy (4 papers)

In The Last Decade

Verónica Ramírez‐Alcántara

14 papers receiving 219 citations

Peers

Verónica Ramírez‐Alcántara
Comparison fields: 5 of 50
  • Molecular Biology 109
  • Pharmacology 75
  • Oncology 61
  • Pharmacology 51
  • Surgery 32
Replace Jacqueline K. Akunda with:
Jacqueline K. Akunda United States
Yangliang Ye China
Kenta Saito Japan
Guillermo García‐Rayado Spain
Akifumi Kogame Japan
Ling Cheng China
Sidong Song China
Xinyang Du China
Di Han China
Yoko Shinji Japan
Verónica Ramírez‐Alcántara relative to Jacqueline K. Akunda United States Jacqueline K. Akunda's profile →
Citations per field
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Jacqueline K. Akunda · 1×
Citations per year

Countries citing papers authored by Verónica Ramírez‐Alcántara

Since Specialization
Citations

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

Fields of papers citing papers by Verónica Ramírez‐Alcántara

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Verónica Ramírez‐Alcántara. 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 Verónica Ramírez‐Alcántara. The network helps show where Verónica Ramírez‐Alcántara may publish in the future.

Co-authorship network of co-authors of Verónica Ramírez‐Alcántara

This figure shows the co-authorship network connecting the top 25 collaborators of Verónica Ramírez‐Alcántara. A scholar is included among the top collaborators of Verónica Ramírez‐Alcántara 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 Verónica Ramírez‐Alcántara. Verónica Ramírez‐Alcántara is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

19 of 19 papers shown
#WorkIndexed citations
1 0
2 21
3 2
4 1
5 5
6 1
7 1
8 0
9 34
10 0
11 1
12 0
13 3
14 38
15 13
16 37
17 24
18 36
19 5

About Verónica Ramírez‐Alcántara

Verónica Ramírez‐Alcántara is a scholar working on Pharmacology, Biotechnology and Oncology, having authored 19 papers that have together received 222 indexed citations. Recurring topics across this work include Phosphodiesterase function and regulation (8 papers), Inflammatory mediators and NSAID effects (5 papers) and Cancer Mechanisms and Therapy (4 papers). The work is most often cited by research in Pharmacology (51 citations), Pharmacology (75 citations) and Oncology (61 citations). Verónica Ramírez‐Alcántara has collaborated with scholars based in United States, Australia and United Kingdom. Frequent co-authors include Urs A. Boelsterli, Adam B. Keeton, Marshall H. Montrose, Gary A. Piazza, Bruno Gavillet, Joshua C. Canzoneri, Bing Zhu, Kevin Lee, Nan Li and Mary Pat Moyer. Their work appears in journals such as Cancer Research, Clinical Cancer Research and Toxicological Sciences.

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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