Iván Quesada

7.8k citations
104 papers · 6.5k · h-index 46

Impact in

Papers in

Iván Quesada

102 papers receiving 6.3k citations

Peers

Iván Quesada
Comparison fields: 5 of 150
  • Health, Toxicology and Mutagenesis 2.3k
  • Endocrinology, Diabetes and Metabolism 1.1k
  • Endocrine and Autonomic Systems 431
  • Surgery 1.6k
  • Genetics 968
Replace Paloma Alonso‐Magdalena with:
Paloma Alonso‐Magdalena Spain
Marco Gouveia Alves Portugal
Norbert E. Kaminski United States
Esther Fuentes Spain
Marian L. Miller United States
Jan-Åke Gustafsson Sweden
Jérôme N. Feige Switzerland
Takeshi Usui Japan
Ana Belén Ropero Spain
Everardo M. Carneiro Brazil
Iván Quesada relative to Paloma Alonso‐Magdalena Spain Paloma Alonso‐Magdalena's profile →
Citations per field
00.5×2×3×4.1×
Paloma Alonso‐Magdalena · 1×
Citations per year

Countries citing papers authored by Iván Quesada

Since Specialization
Citations

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

Fields of papers citing papers by Iván Quesada

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Iván Quesada, 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 Iván Quesada Line = papers co-authored together Iván Quesada links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 104 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2010405
2 2011339
3 2008310
4 2011308
5 2009250
6 2002195
7 2012179
8 2017176
9 1999176
10 2014171
11 2012154
12 2014151
13 2007138
14 2009123
15 2012116
16 2015116
17 2011103
18 201595
19 200690
20 201190

About Iván Quesada

Iván Quesada is a scholar working on Endocrinology, Diabetes and Metabolism, Health, Toxicology and Mutagenesis, Surgery, Genetics and Endocrine and Autonomic Systems, having authored 104 papers that have together received 6.5k indexed citations. Recurring topics across this work include Pancreatic function and diabetes (56 papers), Effects and risks of endocrine disrupting chemicals (25 papers), Diabetes and associated disorders (15 papers), Diabetes Management and Research (12 papers), Diet, Metabolism, and Disease (11 papers), Metabolism, Diabetes, and Cancer (10 papers), Adipose Tissue and Metabolism (9 papers) and Estrogen and related hormone effects (7 papers). The work is most often cited by research in Health, Toxicology and Mutagenesis (2.3k citations), Endocrinology, Diabetes and Metabolism (1.1k citations), Endocrine and Autonomic Systems (431 citations), Surgery (1.6k citations) and Genetics (968 citations). Iván Quesada has collaborated with scholars based in Spain, United States and Brazil. Frequent co-authors include Ángel Nadal, Paloma Alonso‐Magdalena, Sergi Soriano, Bernat Soria, Ana Belén Ropero, Eva Tudurí, Elaine Cristina Vieira, Ripoll Cristina, Marta García‐Arévalo and Laura Marroquí. Their work appears in journals such as Endocrinology, PLoS ONE, Diabetes, Journal of Endocrinology and Diabetologia.

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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