G. Daniel Boon

33 papers receiving 577 citations

Peers

G. Daniel Boon
Comparison fields: 5 of 92
  • Equine 37
  • Small Animals 56
  • Hematology 69
  • Animal Science and Zoology 64
  • Virology 20
Replace Fumio Hoshi with:
Fumio Hoshi Japan
L. Amati Italy
EDWARD A. USENIK United States
H. Becker Germany
William D. Schall United States
Vernon C. Langston United States
Reeko SATO Japan
Walter H. Wilborn United States
Craig B. Webb United States
I C Fuentealba Canada
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Countries citing papers authored by G. Daniel Boon

Since Specialization
Citations

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

Fields of papers citing papers by G. Daniel Boon

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 33 papers — load more, or switch the sort, to bring in the rest.

#Work
1 198282
2 199361
3 198257
4 199344
5 199343
6 198240
7 199836
8
Methodologic considerations for the use of canine in vivo aged biotinylated erythrocytes to study RBC senescence.
199626
9 198126
10 198424
11 198219
12 199918
13 200115
14 198414
15
LYMPHOSARCOMA IN A GREEN IGUANA (IGUANA IGUANA)
199614
16 198713
17 198212
18 200011
19 200010
20 199210

About G. Daniel Boon

G. Daniel Boon is a scholar working on Small Animals, Physiology, Microbiology, Pulmonary and Respiratory Medicine and Immunology, having authored 33 papers that have together received 653 indexed citations. Recurring topics across this work include Erythrocyte Function and Pathophysiology (4 papers), Blood properties and coagulation (4 papers), Mycotoxins in Agriculture and Food (3 papers), Coccidia and coccidiosis research (2 papers), Blood groups and transfusion (2 papers), Selenium in Biological Systems (2 papers), Toxin Mechanisms and Immunotoxins (2 papers) and Microbial infections and disease research (2 papers). The work is most often cited by research in Equine (37 citations), Small Animals (56 citations), Hematology (69 citations), Animal Science and Zoology (64 citations) and Virology (20 citations). G. Daniel Boon has collaborated with scholars based in United States and Netherlands. Frequent co-authors include William W. Carlton, Alan H. Rebar, Gerald D. Bottoms, Dennis B. DeNicola, JOHN F. FESSLER, Harry C. Frauenfelder, John F. Tuite, O. F. Roesel, Timothy R. Boosinger and Alfred Moore. Their work appears in journals such as American Journal of Veterinary Research, Veterinary Clinical Pathology, Journal of Veterinary Internal Medicine, Veterinary Pathology and Journal of the American Veterinary Medical Association.

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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