Eva Tudurí

30 papers receiving 1.1k citations

Peers

Eva Tudurí
Comparison fields: 5 of 99
  • Endocrinology, Diabetes and Metabolism 367
  • Endocrine and Autonomic Systems 133
  • Health, Toxicology and Mutagenesis 169
  • Surgery 472
  • Physiology 37
Replace Rodrigo P. A. Barros with:
Rodrigo P. A. Barros United States
Alessandro Marsili Italy
Beatriz Merino Spain
Tomi Streng Finland
Gareth E. Lim Canada
Luiz F. Barella Brazil
Viviane Delghingaro‐Augusto Australia
Gisele Giannocco Brazil
MASAEI KAKIZAKI Japan
Karen Jesus Oliveira Brazil
Eva Tudurí relative to Rodrigo P. A. Barros United States Rodrigo P. A. Barros's profile →
Citations per field
00.5×3.4×
Rodrigo P. A. Barros · 1×
Citations per year

Countries citing papers authored by Eva Tudurí

Since Specialization
Citations

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

Fields of papers citing papers by Eva Tudurí

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Eva Tudurí, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Eva Tudurí Line = papers co-authored together Eva Tudurí links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 30 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2008286
2 2017159
3 200960
4 201750
5 201847
6 201646
7 200840
8 201838
9 201036
10 202235
11 201032
12 201926
13 201221
14 201618
15 201917
16 201415
17 202014
18 201614
19 201713
20 202012

About Eva Tudurí

Eva Tudurí is a scholar working on Surgery, Endocrinology, Diabetes and Metabolism, Genetics, Endocrine and Autonomic Systems and Physiology, having authored 30 papers that have together received 1.1k indexed citations. Recurring topics across this work include Pancreatic function and diabetes (23 papers), Diabetes and associated disorders (10 papers), Regulation of Appetite and Obesity (9 papers), Diabetes Management and Research (7 papers), Diabetes Treatment and Management (5 papers), Adipose Tissue and Metabolism (4 papers), Biochemical Analysis and Sensing Techniques (3 papers) and Diet and metabolism studies (3 papers). The work is most often cited by research in Endocrinology, Diabetes and Metabolism (367 citations), Endocrine and Autonomic Systems (133 citations), Health, Toxicology and Mutagenesis (169 citations), Surgery (472 citations) and Physiology (37 citations). Eva Tudurí has collaborated with scholars based in Spain, Canada and Brazil. Frequent co-authors include Iván Quesada, Ángel Nadal, Cristina Ripoll, Paloma Alonso‐Magdalena, Rubén Nogueiras, Laura Marroquí, Carlos Diéguez, Timothy J. Kieffer, Sergi Soriano and Everardo M. Carneiro. Their work appears in journals such as Scientific Reports, Endocrinology, Diabetes, Diabetes Obesity and Metabolism and American Journal of Physiology-Endocrinology and Metabolism.

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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