David G. Pugh
- Rheumatology top 2%
- Surgery top 10%
- Pulmonary and Respiratory Medicine top 10%
- Agronomy and Crop Science top 2%
- Epidemiology
- Co-authors
- David C. DahlinRalph K. GhormleyR.K. WinkelmannCharles H. SlocumbHoward B. BurchellChristine B. NavarreJames G. W. WenzelA.T. Peter
- Topics
- Bone Tumor Diagnosis and Treatments (11 papers)Veterinary Equine Medical Research (11 papers)Reproductive Physiology in Livestock (10 papers)
- Cited by
- EquineRheumatologySmall Animals
- Partner nations
- United StatesAustraliaItaly
In The Last Decade
David G. Pugh
84 papers receiving 1.4k citations
Peers
Comparison fields: 5 of 125
- Rheumatology 573
- Surgery 355
- Pulmonary and Respiratory Medicine 338
- Agronomy and Crop Science 247
- Epidemiology 216
Countries citing papers authored by David G. Pugh
This map shows the geographic impact of David G. Pugh'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 David G. Pugh with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites David G. Pugh more than expected).
Fields of papers citing papers by David G. Pugh
This network shows the impact of papers produced by David G. Pugh. 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 David G. Pugh. The network helps show where David G. Pugh may publish in the future.
Co-authorship network of co-authors of David G. Pugh
This figure shows the co-authorship network connecting the top 25 collaborators of David G. Pugh. A scholar is included among the top collaborators of David G. Pugh based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with David G. Pugh. David G. Pugh is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 2 | |
| 2 | 45 | |
| 3 | 10 | |
| 4 | 9 | |
| 5 | Recumbent New World Camelids: General Diagnostics and Types of Recumbency | 1 |
| 6 | Rabies in a llama | 3 |
| 7 | 16 | |
| 8 | 7 | |
| 9 | 13 | |
| 10 | 8 | |
| 11 | Clinical parelaphostrongylosis in llamas | 9 |
| 12 | 1 | |
| 13 | Feeding broiler litter to beef cattle | 30 |
| 14 | 40 | |
| 15 | 26 | |
| 16 | 16 | |
| 17 | 11 | |
| 18 | Granulosa cell tumor in a cow | 1 |
| 19 | 12 | |
| 20 | 26 |
About David G. Pugh
David G. Pugh is a scholar working on Equine, Small Animals and Agronomy and Crop Science, having authored 87 papers that have together received 1.7k indexed citations. Recurring topics across this work include Bone Tumor Diagnosis and Treatments (11 papers), Veterinary Equine Medical Research (11 papers) and Reproductive Physiology in Livestock (10 papers). The work is most often cited by research in Equine (128 citations), Rheumatology (573 citations) and Small Animals (201 citations). David G. Pugh has collaborated with scholars based in United States, Australia and Italy. Frequent co-authors include David C. Dahlin, Ralph K. Ghormley, R.K. Winkelmann, Charles H. Slocumb, Howard B. Burchell, Christine B. Navarre, James G. W. Wenzel, A.T. Peter, Cecil L. Smith and Randall G. Sprague. Their work appears in journals such as Circulation, Annals of Internal Medicine and Cancer.
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.