Daniel A. Giles

2.0k citations
19 papers · 804 indexed · h-index 13

Impact in

  • Immunology top 10%
    • Immune Cell Function and Interaction
    • IL-33, ST2, and ILC Pathways
  • Hepatology top 10%

Papers in

    • IL-33, ST2, and ILC Pathways 5
    • Immune Cell Function and Interaction 5
    • Inflammatory Bowel Disease 4
    • Diabetes and associated disorders 3

Daniel A. Giles

18 papers receiving 797 citations

Peers

Daniel A. Giles
Comparison fields: 5 of 88
  • Immunology 265
  • Hepatology 93
  • Epidemiology 374
  • Genetics 170
  • Physiology 143
Replace Traci E. Stankiewicz with:
Traci E. Stankiewicz United States
Leah M. Flick United States
Shuji Kanmura Japan
Maya Margalit Israel
Amine Toubal France
Kotaro Kumagai Japan
Nadine Gehrke Germany
Shiyun Tan China
Mitsue Sogawa Japan
Soonil Kwon South Korea
Daniel A. Giles relative to Traci E. Stankiewicz United States Traci E. Stankiewicz's profile →
Citations per field
00.5×1.5×
Traci E. Stankiewicz · 1×
Citations per year

Countries citing papers authored by Daniel A. Giles

Since Specialization
Citations

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

Fields of papers citing papers by Daniel A. Giles

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

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

All Works

19 of 19 papers shown
#Work
1 20250
2 202415
3 202312
4 20223
5 202114
6 202039
7 20201
8 2019102
9 20191
10 201833
11 201873
12 201839
13 201814
14 201695
15 201657
16 201578
17 2013197
18 201330
19 20121

About Daniel A. Giles

Daniel A. Giles is a scholar working on Immunology, Genetics, Epidemiology, Endocrinology, Diabetes and Metabolism and Immunology and Allergy, having authored 19 papers that have together received 804 indexed citations. Recurring topics across this work include Liver Disease Diagnosis and Treatment (6 papers), IL-33, ST2, and ILC Pathways (5 papers), Immune Cell Function and Interaction (5 papers), Inflammatory Bowel Disease (4 papers), Eosinophilic Esophagitis (3 papers), Diet, Metabolism, and Disease (3 papers), Diabetes and associated disorders (3 papers) and Adipokines, Inflammation, and Metabolic Diseases (3 papers). The work is most often cited by research in Immunology (265 citations), Hepatology (93 citations), Epidemiology (374 citations), Genetics (170 citations) and Physiology (143 citations). Daniel A. Giles has collaborated with scholars based in United States, Chile and Australia. Frequent co-authors include Senad Divanovic, Maria E. Moreno‐Fernandez, Traci E. Stankiewicz, Monica Cappelletti, Mitchell Kronenberg, Christopher L. Karp, Rachel Sheridan, Isaac T. W. Harley, Leah M. Flick and Goo‐Young Seo. Their work appears in journals such as Frontiers in Immunology, Molecular Metabolism, Mucosal Immunology, Annals of the Rheumatic Diseases and Cell Host & Microbe.

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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2026