Joan Serrano

20 papers receiving 529 citations

Peers

Joan Serrano
Comparison fields: 5 of 67
  • Biochemistry 118
  • Endocrine and Autonomic Systems 93
  • Nutrition and Dietetics 208
  • Sensory Systems 48
  • Physiology 153
Replace Àngela Casanova‐Martí with:
Àngela Casanova‐Martí Spain
Leslie L. Curry United States
Iris Ginés Spain
Guowei Le China
Barbara Lieder Austria
Minghai Fu China
Seiichi Kasaoka Japan
Na Rang Moon South Korea
Priyanka Mangal India
Han Youl Lee Canada
Joan Serrano relative to Àngela Casanova‐Martí Spain Àngela Casanova‐Martí's profile →
Citations per field
00.5×1.7×
Àngela Casanova‐Martí · 1×
Citations per year

Countries citing papers authored by Joan Serrano

Since Specialization
Citations

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

Fields of papers citing papers by Joan Serrano

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 22 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201888
2 202175
3 201550
4 201649
5 201540
6 201631
7 201829
8 202027
9 201726
10 201521
11 201921
12 201619
13 202215
14 202114
15 20219
16 20198
17 20244
18 20224
19 20174
20 20242

About Joan Serrano

Joan Serrano is a scholar working on Nutrition and Dietetics, Endocrine and Autonomic Systems, Molecular Biology, Physiology and Biochemistry, having authored 22 papers that have together received 536 indexed citations. Recurring topics across this work include Biochemical Analysis and Sensing Techniques (14 papers), Regulation of Appetite and Obesity (10 papers), Adipose Tissue and Metabolism (4 papers), Antioxidant Activity and Oxidative Stress (3 papers), Diet and metabolism studies (3 papers), Adipokines, Inflammation, and Metabolic Diseases (3 papers), Phytochemicals and Antioxidant Activities (3 papers) and Diet, Metabolism, and Disease (2 papers). The work is most often cited by research in Biochemistry (118 citations), Endocrine and Autonomic Systems (93 citations), Nutrition and Dietetics (208 citations), Sensory Systems (48 citations) and Physiology (153 citations). Joan Serrano has collaborated with scholars based in Spain, United States and South Korea. Frequent co-authors include Montserrat Pinent, Anna Ardèvol, Mayte Blay, Àngela Casanova‐Martí, Ximena Terra, Katherine Gil‐Cardoso, Kevin Portune, Yolanda Sanz, George A. Kyriazis and Kathleen R. Smith. Their work appears in journals such as Food & Function, Nutrients, Molecular Nutrition & Food Research, Molecular Metabolism and Journal of the Science of Food and Agriculture.

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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