Daniel R. Gaya

7.9k citations
82 papers · 1.4k · h-index 21

Impact in

Papers in

    • Inflammatory Bowel Disease 47
    • Chronic Lymphocytic Leukemia Research 7
    • Digestive system and related health 6
    • Eosinophilic Esophagitis 14
    • Helicobacter pylori-related gastroenterology studies 8

Daniel R. Gaya

76 papers receiving 1.3k citations

Peers

Daniel R. Gaya
Comparison fields: 5 of 93
  • Gastroenterology 228
  • Genetics 665
  • Hepatology 168
  • Epidemiology 563
  • Speech and Hearing 99
Replace Javier Martín de Carpi with:
Javier Martín de Carpi Spain
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Jasbir Dhaliwal United States
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Marte Lie Høivik Norway
Francisco Portela Portugal
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Citations per field
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Citations per year

Countries citing papers authored by Daniel R. Gaya

Since Specialization
Citations

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

Fields of papers citing papers by Daniel R. Gaya

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 82 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2006181
2 2011107
3 200389
4 201772
5 202064
6 200562
7 201359
8 202043
9 201442
10 201641
11 201437
12 201036
13 201732
14 201732
15 201629
16 201729
17 202128
18 201727
19 201825
20 201420

About Daniel R. Gaya

Daniel R. Gaya is a scholar working on Genetics, Surgery, Epidemiology, Gastroenterology and Immunology, having authored 82 papers that have together received 1.4k indexed citations. Recurring topics across this work include Inflammatory Bowel Disease (47 papers), Microscopic Colitis (23 papers), Eosinophilic Esophagitis (14 papers), Helicobacter pylori-related gastroenterology studies (8 papers), Chronic Lymphocytic Leukemia Research (7 papers), Gastrointestinal Bleeding Diagnosis and Treatment (6 papers), Gut microbiota and health (6 papers) and Digestive system and related health (6 papers). The work is most often cited by research in Gastroenterology (228 citations), Genetics (665 citations), Hepatology (168 citations), Epidemiology (563 citations) and Speech and Hearing (99 citations). Daniel R. Gaya has collaborated with scholars based in United Kingdom, Germany and France. Frequent co-authors include Richard K. Russell, Jack Satsangi, Elaine R. Nimmo, Adrian J. Stanley, Konstantinos Gerasimidis, A. Morris, Shaji Sebastian, L Smith, Susan Laird and Richard Hansen. Their work appears in journals such as Journal of Crohn s and Colitis, Gastroenterology, Gut, Alimentary Pharmacology & Therapeutics and European Journal of Gastroenterology & Hepatology.

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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