Alba Casellas

2.0k citations
30 papers · 1.3k · h-index 20

Impact in

Papers in

    • Pancreatic function and diabetes 18
    • Diabetes and associated disorders 13

Alba Casellas

30 papers receiving 1.3k citations

Peers

Alba Casellas
Comparison fields: 5 of 88
  • Endocrinology, Diabetes and Metabolism 360
  • Ophthalmology 116
  • Surgery 560
  • Genetics 352
  • Physiology 284
Replace Pili Zhang with:
Pili Zhang United States
Simone Baltrusch Germany
Naohisa Oda Japan
Burritt Haag United States
Katsuhiro Miyajima Japan
Béatrice Jaspard‐Vinassa France
Olga V. Savinova United States
Emil D. Bartels Denmark
Shun‐ichiro Asahara Japan
Brian L. Dake United States
Alba Casellas relative to Pili Zhang United States Pili Zhang's profile →
Citations per field
00.5×1.5×1.9×
Pili Zhang · 1×
Citations per year

Countries citing papers authored by Alba Casellas

Since Specialization
Citations

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

Fields of papers citing papers by Alba Casellas

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Alba Casellas, 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 Alba Casellas Line = papers co-authored together Alba Casellas 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 2002182
2 2004144
3 2000136
4 2002122
5 2002102
6 201267
7 200050
8 201145
9 201545
10 201644
11 200843
12 200241
13 200637
14 202037
15 201728
16 201428
17 201225
18 200420
19 202219
20 200019

About Alba Casellas

Alba Casellas is a scholar working on Surgery, Genetics, Molecular Biology, Endocrinology, Diabetes and Metabolism and Physiology, having authored 30 papers that have together received 1.3k indexed citations. Recurring topics across this work include Pancreatic function and diabetes (18 papers), Diabetes and associated disorders (13 papers), Adipose Tissue and Metabolism (6 papers), Growth Hormone and Insulin-like Growth Factors (6 papers), Retinal Diseases and Treatments (3 papers), Diabetes Management and Research (2 papers), Metabolism, Diabetes, and Cancer (2 papers) and Retinopathy of Prematurity Studies (2 papers). The work is most often cited by research in Endocrinology, Diabetes and Metabolism (360 citations), Ophthalmology (116 citations), Surgery (560 citations), Genetics (352 citations) and Physiology (284 citations). Alba Casellas has collaborated with scholars based in Spain, France and Portugal. Frequent co-authors include Fátima Bosch, Mónica George, Eduard Ayuso, Cristina Costa, Anna Pujol, Jean Christophe Devedjian, Sylvie Franckhauser, Sergio Muñoz, Judith Agudo and Verónica Jiménez. Their work appears in journals such as Diabetes, Journal of Clinical Investigation, Diabetologia, Molecular Therapy — Methods & Clinical Development and Experimental Eye Research.

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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