Gemma Pujadas

1.5k citations
27 papers · 1.2k indexed · h-index 17

Impact in

Papers in

Gemma Pujadas

27 papers receiving 1.1k citations

Peers

Gemma Pujadas
Comparison fields: 5 of 86
  • Endocrinology, Diabetes and Metabolism 602
  • Clinical Biochemistry 61
  • Physiology 201
  • Surgery 314
  • Cardiology and Cardiovascular Medicine 153
Replace Hiromasa Goto with:
Hiromasa Goto Japan
Susanne Famulla Germany
Weihui Yu China
Gil Leibowitz Israel
Ezzat Assian United States
Daniela Lamers Germany
Birgit Knebel Germany
Mitchel Tate Australia
George G. Schweitzer United States
Atsuko Abiko Japan
Gemma Pujadas relative to Hiromasa Goto Japan Hiromasa Goto's profile →
Citations per field
00.5×1.5×1.8×
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Citations per year

Countries citing papers authored by Gemma Pujadas

Since Specialization
Citations

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

Fields of papers citing papers by Gemma Pujadas

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

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

All Works

20 of 20 papers shown
#Work
1 202216
2 202025
3 201940
4 2018105
5 20167
6 201673
7 201651
8 201654
9 201547
10 201514
11 201511
12 201439
13 201460
14 201467
15 201343
16 201358
17 201332
18 2012124
19 20119
20 201012

About Gemma Pujadas

Gemma Pujadas is a scholar working on Endocrinology, Diabetes and Metabolism, Clinical Biochemistry, Genetics, Surgery and Cellular and Molecular Neuroscience, having authored 27 papers that have together received 1.2k indexed citations. Recurring topics across this work include Diabetes Treatment and Management (12 papers), Pancreatic function and diabetes (10 papers), Diabetes and associated disorders (7 papers), Diabetes Management and Research (6 papers), Metabolism, Diabetes, and Cancer (4 papers), Hyperglycemia and glycemic control in critically ill and hospitalized patients (3 papers), Neuropeptides and Animal Physiology (3 papers) and Neutrophil, Myeloperoxidase and Oxidative Mechanisms (2 papers). The work is most often cited by research in Endocrinology, Diabetes and Metabolism (602 citations), Clinical Biochemistry (61 citations), Physiology (201 citations), Surgery (314 citations) and Cardiology and Cardiovascular Medicine (153 citations). Gemma Pujadas has collaborated with scholars based in Spain, Italy and Canada. Frequent co-authors include Antonio Ceriello, Lucia La Sala, Stefano Genovese, Roberto Testa, Anna Novials, Valeria De Nigris, Daniel J. Drucker, Katherine Esposito, Sílvia Canivell and Dario Giugliano. Their work appears in journals such as Cardiovascular Diabetology, Diabetes Care, Molecular Metabolism, Diabetes Obesity and Metabolism and Differentiation.

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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