Daniel Ginard

74 papers receiving 1.8k citations

Peers

Daniel Ginard
Comparison fields: 5 of 84
  • Genetics 1.0k
  • Hepatology 130
  • Epidemiology 541
  • Gastroenterology 54
  • Public Health, Environmental and Occupational Health 260
Replace Iago Rodríguez–Lago with:
Iago Rodríguez–Lago Spain
Triana Lobatón Belgium
José Luis Cabriada Spain
Eric A. Vasiliauskas United States
Lori Y. Kam United States
Eric Vasiliauskas United States
James F. Marion United States
Klaudia Farkas Hungary
Howard A. Kader United States
Michael Stormon Australia
Daniel Ginard relative to Iago Rodríguez–Lago Spain Iago Rodríguez–Lago's profile →
Citations per field
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Iago Rodríguez–Lago · 1×
Citations per year

Countries citing papers authored by Daniel Ginard

Since Specialization
Citations

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

Fields of papers citing papers by Daniel Ginard

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 84 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2013183
2 2010169
3 2016154
4 2008116
5 2010104
6 202091
7 201171
8 202163
9 201656
10 202250
11 201245
12 201543
13 200841
14 201241
15 201738
16 201634
17 201833
18 200732
19 201131
20 201628

About Daniel Ginard

Daniel Ginard is a scholar working on Genetics, Epidemiology, Immunology, Surgery and Gastroenterology, having authored 84 papers that have together received 1.9k indexed citations. Recurring topics across this work include Inflammatory Bowel Disease (57 papers), Microscopic Colitis (13 papers), Autoimmune and Inflammatory Disorders (5 papers), Gut microbiota and health (5 papers), Immunodeficiency and Autoimmune Disorders (4 papers), Metabolomics and Mass Spectrometry Studies (4 papers), Diagnosis and treatment of tuberculosis (4 papers) and COVID-19 Clinical Research Studies (3 papers). The work is most often cited by research in Genetics (1.0k citations), Hepatology (130 citations), Epidemiology (541 citations), Gastroenterology (54 citations) and Public Health, Environmental and Occupational Health (260 citations). Daniel Ginard has collaborated with scholars based in Spain, United States and Chile. Frequent co-authors include Sam Khorrami, Javier Pérez Gisbert, Valle García-Sánchez, Francesc Casellas, Ignacio Marín‐Jiménez, Eugeni Domènech, A. Obrador, Carlos Taxonera, Mónica Sierra and Cristina Suárez-Mejías. Their work appears in journals such as Journal of Crohn s and Colitis, Inflammatory Bowel Diseases, Alimentary Pharmacology & Therapeutics, The American Journal of Gastroenterology 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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