Daniel J. Patrick

21 papers receiving 441 citations

Peers

Daniel J. Patrick
Comparison fields: 5 of 99
  • Small Animals 76
  • Equine 11
  • Immunology 76
  • Physiology 76
  • Pulmonary and Respiratory Medicine 92
Replace Yonatan Feuermann with:
Yonatan Feuermann Israel
Satoshi Soeta Japan
Karol Jopek Poland
Bernard Sass United States
Nicholas R. Staten United States
Nancy P. Robertson United States
Helen Evans United Kingdom
Cynthia S. Cook United States
G Gheri Italy
Marı́a C. Sánchez Argentina
Daniel J. Patrick relative to Yonatan Feuermann Israel Yonatan Feuermann's profile →
Citations per field
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Citations per year

Countries citing papers authored by Daniel J. Patrick

Since Specialization
Citations

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

Fields of papers citing papers by Daniel J. Patrick

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 23 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2018126
2 200446
3 201846
4 200638
5 197334
6 198430
7 199925
8 200322
9 201416
10 201314
11 201211
12 201510
13 20198
14 20208
15 20188
16 20185
17 20205
18 20194
19 20093
20
The cellular response in rats to challenge with horse gamma globulin.
19723

About Daniel J. Patrick

Daniel J. Patrick is a scholar working on Small Animals, Anatomy, Immunology, Statistics and Probability and Anesthesiology and Pain Medicine, having authored 23 papers that have together received 464 indexed citations. Recurring topics across this work include Immunotoxicology and immune responses (8 papers), Animal testing and alternatives (8 papers), Anesthesia and Pain Management (2 papers), Renal and related cancers (2 papers), Statistical Methods in Clinical Trials (2 papers), Animal Nutrition and Physiology (1 paper), Interstitial Lung Diseases and Idiopathic Pulmonary Fibrosis (1 paper) and Hereditary Neurological Disorders (1 paper). The work is most often cited by research in Small Animals (76 citations), Equine (11 citations), Immunology (76 citations), Physiology (76 citations) and Pulmonary and Respiratory Medicine (92 citations). Daniel J. Patrick has collaborated with scholars based in United States, India and United Kingdom. Frequent co-authors include Matti Kiupel, Kenneth A. Schafer, James Fikes, Carol M. Vleck, Sabine Francke, Renee Hukkanen, Wendy Halpern, Gerald G. Long, Charles E. Wood and Michael S. Thibodeau. Their work appears in journals such as Toxicologic Pathology, Journal of Veterinary Diagnostic Investigation, Molecular Pharmaceutics, Anesthesia & Analgesia and Veterinary Pathology.

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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