G Cullen

26 papers receiving 444 citations

Peers

G Cullen
Comparison fields: 5 of 58
  • Epidemiology 226
  • Immunology 93
  • Animal Science and Zoology 46
  • Genetics 121
  • Ecology, Evolution, Behavior and Systematics 66
Replace Heng Thay Chong with:
Heng Thay Chong Malaysia
Takuo ISHIDA Japan
Mary K. McCarthy United States
Byron S. Berlin United States
Ota Barta United States
Charlene K. Edelman United States
R. Phillips United States
Duane F. Brobst United States
William J. Cheatham United States
Paolo Ravanini Italy
G Cullen relative to Heng Thay Chong Malaysia Heng Thay Chong's profile →
Citations per field
00.5×4.8×
Heng Thay Chong · 1×
Citations per year

Countries citing papers authored by G Cullen

Since Specialization
Citations

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

Fields of papers citing papers by G Cullen

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 29 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2011145
2 1972142
3 201330
4 201929
5 201828
6 201716
7 201814
8 197813
9 197812
10
Quality assurance for cyclosporin assays in body fluids.
199110
11 20198
12 19818
13 20145
14 19765
15 20173
16 20183
17 19743
18 20222
19 20182
20 20172

About G Cullen

G Cullen is a scholar working on Genetics, Epidemiology, Immunology, Surgery and Animal Science and Zoology, having authored 29 papers that have together received 488 indexed citations. Recurring topics across this work include Inflammatory Bowel Disease (13 papers), Virology and Viral Diseases (4 papers), Immunodeficiency and Autoimmune Disorders (4 papers), Microscopic Colitis (4 papers), Diagnosis and treatment of tuberculosis (2 papers), Monoclonal and Polyclonal Antibodies Research (2 papers), Pregnancy and Medication Impact (2 papers) and Appendicitis Diagnosis and Management (2 papers). The work is most often cited by research in Epidemiology (226 citations), Immunology (93 citations), Animal Science and Zoology (46 citations), Genetics (121 citations) and Ecology, Evolution, Behavior and Systematics (66 citations). G Cullen has collaborated with scholars based in Ireland, Netherlands and United States. Frequent co-authors include W.H. Allan, J.T. Faragher, Adam S. Cheifetz, Daniela Kroshinsky, Joshua R. Korzenik, P. Wyeth, Glen Doherty, Hugh Mulcahy, Geert D’Haens and D. C. Winter. Their work appears in journals such as Journal of Crohn s and Colitis, Veterinary Record, Alimentary Pharmacology & Therapeutics, Journal of the European Academy of Dermatology and Venereology and British journal of surgery.

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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