Iván Laboy

3.8k citations
6 papers · 2.9k · 2 hit papers · h-index 4

Impact in

Papers in

Journals
The Lancet (2 papers)PubMed (4 papers)

In The Last Decade

Iván Laboy

6 papers receiving 2.7k citations

Iván Laboy's Hit Papers

Dulaglutide and cardiovascular outcomes in type 2 diabetes (REWIND): a double-blind, randomised placebo-controlled trial 2019 · 2.3k citations
2.3k0+2+4Years since publication5001k1.5k2k

Peers

Iván Laboy
Comparison fields: 5 of 77
  • Endocrinology, Diabetes and Metabolism 2.1k
  • Nephrology 412
  • Cardiology and Cardiovascular Medicine 278
  • Transplantation 20
  • Pharmacology 78
Replace Małgorzata Sacha with:
Małgorzata Sacha
Eugenia Ortiz Chile
Eva Retamal-Riquelme Chile
Ольга Алексеевна Смирнова Russia
Izabella Mező Hungary
Anca Cerghizan Romania
Eva Račická Egypt
Ricardo León Sánchez Consuegra Colombia
Libor Staněk Czechia
Jonathan Vecchiarelli Canada
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Citations per field
00.5×1.5×
Małgorzata Sacha · 1×
Citations per year

Countries citing papers authored by Iván Laboy

Since Specialization
Citations

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

Fields of papers citing papers by Iván Laboy

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 1 scholars most cited alongside Iván Laboy, 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 Laboy Line = papers co-authored together Iván Laboy links everyone, so they are left out of the graph.

All Works

6 of 6 papers shown
#Work
1
Dulaglutide and cardiovascular outcomes in type 2 diabetes (REWIND): a double-blind, randomised placebo-controlled trial
Hit paper breakdown →
20192345
2
Dulaglutide and renal outcomes in type 2 diabetes: an exploratory analysis of the REWIND randomised, placebo-controlled trial
Hit paper breakdown →
2019498
3
Pasteurella multocida: a nightmare for a replaced joint and the challenge to save it.
20148
4
Overview of thyroid physiology: an essential for understanding familial euthyroid multinodular goiter.
20134
5
Just a flare---the Pandora's box approach.
20141
6
A middle aged woman with isolated ACTH deficiency associated with transient growth hormone deficiency.
20161

About Iván Laboy

Iván Laboy is a scholar working on Endocrinology, Diabetes and Metabolism, Nephrology, Rheumatology, Surgery and Nuclear Energy and Engineering, having authored 6 papers that have together received 2.9k indexed citations. Recurring topics across this work include Diabetes Treatment and Management (2 papers), Chronic Kidney Disease and Diabetes (1 paper), Thyroid Disorders and Treatments (1 paper), Orthopedic Infections and Treatments (1 paper), Systemic Lupus Erythematosus Research (1 paper) and Adrenal Hormones and Disorders (1 paper). The work is most often cited by research in Endocrinology, Diabetes and Metabolism (2.1k citations), Nephrology (412 citations), Cardiology and Cardiovascular Medicine (278 citations), Transplantation (20 citations) and Pharmacology (78 citations). Frequent co-authors include Coromoto Palermo. Their work appears in journals such as The Lancet and PubMed.

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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