Eva C. Vaquero

9.7k total citations
57 papers, 2.2k citations indexed

About

Eva C. Vaquero is a scholar working on Surgery, Oncology and Epidemiology. According to data from OpenAlex, Eva C. Vaquero has authored 57 papers receiving a total of 2.2k indexed citations (citations by other indexed papers that have themselves been cited), including 35 papers in Surgery, 34 papers in Oncology and 12 papers in Epidemiology. Recurrent topics in Eva C. Vaquero's work include Pancreatitis Pathology and Treatment (29 papers), Pancreatic and Hepatic Oncology Research (26 papers) and Gastrointestinal disorders and treatments (6 papers). Eva C. Vaquero is often cited by papers focused on Pancreatitis Pathology and Treatment (29 papers), Pancreatic and Hepatic Oncology Research (26 papers) and Gastrointestinal disorders and treatments (6 papers). Eva C. Vaquero collaborates with scholars based in Spain, United States and United Kingdom. Eva C. Vaquero's co-authors include Anna S. Gukovskaya, Stephen J. Pandol, Ilya Gukovsky, Mouad Edderkaoui, Antoni Castells, Míriam Cuatrecasas, Ester Sànchez‐Tilló, Antonio Postigo, Xavier Molero and Vjekoslav Zaninovic and has published in prestigious journals such as Journal of Biological Chemistry, SHILAP Revista de lepidopterología and The EMBO Journal.

In The Last Decade

Eva C. Vaquero

55 papers receiving 2.2k citations

Peers

Eva C. Vaquero
Comparison fields: 5 of 110
  • Surgery 845
  • Molecular Biology 842
  • Oncology 826
  • Immunology 372
  • Cancer Research 289
Replace Ning Xu with:
Ning Xu Sweden
W. van Duijn Netherlands
Amy Simon United States
Jian Dong China
Maaike Kockx Australia
Liang-Shun Wang Taiwan
Jonathan C. Choy Canada
Yoichi Matsuo Japan
Osama N. El‐Assal United States
Yasuji Seyama Japan
Ning Xu Sweden View profile →
Citations per field, relative to Eva C. Vaquero
Eva C. Vaquero · 1×
Citations per year, relative to Eva C. Vaquero
Eva C. Vaquero · 1×

Countries citing papers authored by Eva C. Vaquero

Since Specialization
Citations

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

Fields of papers citing papers by Eva C. Vaquero

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Eva C. Vaquero. 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 Eva C. Vaquero. The network helps show where Eva C. Vaquero may publish in the future.

Co-authorship network of co-authors of Eva C. Vaquero

This figure shows the co-authorship network connecting the top 25 collaborators of Eva C. Vaquero. A scholar is included among the top collaborators of Eva C. Vaquero 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 Eva C. Vaquero. Eva C. Vaquero 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 1
2 3
3 0
4 1
5 7
6 46
7 17
8 52
9 5
10 3
11 3
12 16
13 14
14 12
15 6
16 20
17 112
18 70
19 213
20 15

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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