Gemma Llauradó

1.6k citations
59 papers · 1.1k · h-index 19

Impact in

Papers in

Gemma Llauradó

57 papers receiving 1.1k citations

Peers

Gemma Llauradó
Comparison fields: 5 of 90
  • Obstetrics and Gynecology 199
  • Endocrinology, Diabetes and Metabolism 208
  • Cardiology and Cardiovascular Medicine 140
  • Cancer Research 84
  • Epidemiology 184
Replace Maria R. Wing with:
Maria R. Wing United States
Mensud Hatunic Ireland
Małgorzata Szelachowska Poland
Ahmed A. Hasan Germany
Marcelo Farías Chile
Delia Almeida González Spain
Roberto Castello Italy
Jozef Laureys Belgium
Nancy Hua United States
Dong Won Byun South Korea
Gemma Llauradó relative to Maria R. Wing United States Maria R. Wing's profile →
Citations per field
00.5×6.9×
Maria R. Wing · 1×
Citations per year

Countries citing papers authored by Gemma Llauradó

Since Specialization
Citations

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

Fields of papers citing papers by Gemma Llauradó

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 59 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201496
2 201676
3 201869
4 201265
5 201457
6 201951
7 201244
8 201443
9 201742
10 201842
11 200933
12 201832
13 202029
14 201926
15 201320
16 201519
17 201919
18 201118
19 201918
20 201517

About Gemma Llauradó

Gemma Llauradó is a scholar working on Endocrinology, Diabetes and Metabolism, Obstetrics and Gynecology, Surgery, Molecular Biology and Cardiology and Cardiovascular Medicine, having authored 59 papers that have together received 1.1k indexed citations. Recurring topics across this work include Gestational Diabetes Research and Management (9 papers), Cardiovascular Health and Disease Prevention (7 papers), Bariatric Surgery and Outcomes (6 papers), Diabetes Management and Research (5 papers), Diabetes Treatment and Management (4 papers), Pregnancy and preeclampsia studies (4 papers), Gut microbiota and health (4 papers) and Diabetes, Cardiovascular Risks, and Lipoproteins (3 papers). The work is most often cited by research in Obstetrics and Gynecology (199 citations), Endocrinology, Diabetes and Metabolism (208 citations), Cardiology and Cardiovascular Medicine (140 citations), Cancer Research (84 citations) and Epidemiology (184 citations). Gemma Llauradó has collaborated with scholars based in Spain, Finland and Sweden. Frequent co-authors include Joan Vendrell, Juan Pedro‐Botet, David Benaiges, Victòria Ceperuelo‐Mallafré, Rafael Simó, José-Miguel González-Clemente, Juan J. Chillarón, Hannele Yki‐Järvinen, Marju Orho‐Melander and Juana A. Flores‐Le Roux. Their work appears in journals such as Diabetes Care, PLoS ONE, The Journal of Clinical Endocrinology & Metabolism, Diabetes Research and Clinical Practice and Journal of Clinical Medicine.

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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