David P. Bane

654 total citations
25 papers, 539 citations indexed

About

David P. Bane is a scholar working on Small Animals, Animal Science and Zoology and Pharmacology. According to data from OpenAlex, David P. Bane has authored 25 papers receiving a total of 539 indexed citations (citations by other indexed papers that have themselves been cited), including 11 papers in Small Animals, 6 papers in Animal Science and Zoology and 5 papers in Pharmacology. Recurrent topics in David P. Bane's work include Veterinary medicine and infectious diseases (6 papers), Antibiotics Pharmacokinetics and Efficacy (5 papers) and Animal health and immunology (4 papers). David P. Bane is often cited by papers focused on Veterinary medicine and infectious diseases (6 papers), Antibiotics Pharmacokinetics and Efficacy (5 papers) and Animal health and immunology (4 papers). David P. Bane collaborates with scholars based in United States, United Kingdom and Ireland. David P. Bane's co-authors include Thomas E. Eurell, David J. Schaeffer, W. F. Hall, Bart Deplancke, J. E. Wubben, David M. Albin, C.T. Collier, H. Rex Gaskins, Vince M. Gabert and D. B. Anderson and has published in prestigious journals such as Journal of Animal Science, Theriogenology and Veterinary Parasitology.

In The Last Decade

David P. Bane

25 papers receiving 474 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
David P. Bane United States 14 218 218 100 83 69 25 539
Suphot Wattanaphansak Thailand 11 238 1.1× 176 0.8× 156 1.6× 20 0.2× 84 1.2× 27 483
J. K. Merrill Canada 15 120 0.6× 360 1.7× 44 0.4× 221 2.7× 24 0.3× 32 794
Petr Roubal Czechia 13 105 0.5× 70 0.3× 160 1.6× 22 0.3× 58 0.8× 68 629
Zuzana Ševčíková Slovakia 13 45 0.2× 237 1.1× 83 0.8× 36 0.4× 74 1.1× 54 539
R. E. Sacco United States 12 66 0.3× 112 0.5× 67 0.7× 129 1.6× 55 0.8× 21 429
Youfang Gu China 14 67 0.3× 89 0.4× 71 0.7× 41 0.5× 140 2.0× 43 541
J. A. Bucklin United States 8 49 0.2× 95 0.4× 146 1.5× 18 0.2× 66 1.0× 8 415
Xiang Ma China 11 34 0.2× 119 0.5× 355 3.5× 24 0.3× 94 1.4× 51 651
Lamya Rhayat France 10 32 0.1× 172 0.8× 195 1.9× 34 0.4× 99 1.4× 11 449
F. Rochette Belgium 9 333 1.5× 166 0.8× 43 0.4× 14 0.2× 91 1.3× 10 661

Countries citing papers authored by David P. Bane

Since Specialization
Citations

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

Fields of papers citing papers by David P. Bane

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by David P. Bane. 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 P. Bane. The network helps show where David P. Bane may publish in the future.

Co-authorship network of co-authors of David P. Bane

This figure shows the co-authorship network connecting the top 25 collaborators of David P. Bane. A scholar is included among the top collaborators of David P. Bane 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 P. Bane. David P. Bane is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
1.
Lambert, Jonathan, et al.. (2018). Flipping learning not just content: A 4‐year action research study investigating the appropriate level of flipped learning. Journal of Computer Assisted Learning. 34(6). 661–672. 24 indexed citations
2.
Bane, David P., et al.. (2003). Monitoring the prevalence of Lawsonia intracellularis IgG antibodies using serial sampling in growing and breeding swine herds. Journal of Swine Health and Production. 11(3). 127–130. 13 indexed citations
3.
Collier, C.T., David M. Albin, J. E. Wubben, et al.. (2003). Molecular ecological analysis of porcine ileal microbiota responses to antimicrobial growth promoters1. Journal of Animal Science. 81(12). 3035–3045. 151 indexed citations
4.
Bane, David P., E. Neumann, Connie J. Gebhart, Ian Gardner, & Bo Norby. (2001). Porcine proliferative enteropathy: a case-control study in swine herds in the United States. Journal of Swine Health and Production. 9(4). 155–158. 18 indexed citations
5.
Bronsvoort, Mark, Bo Norby, David P. Bane, & Ian Gardner. (2001). Management factors associated with seropositivity to Lawsonia intracellularis in US swine herds. Journal of Swine Health and Production. 9(6). 285–289. 35 indexed citations
6.
Bane, David P., et al.. (1996). The effects of enrofloxacin and tiamulin on serum haptoglobin and alpha -1-acid glycoprotein concentrations in modified medicated-early-weaned pigs. 4(3). 113–117. 1 indexed citations
7.
Bane, David P., et al.. (1992). Relationship between fumonisin contamination of feed and mystery swine disease. Mycopathologia. 117(1-2). 121–124. 25 indexed citations
8.
Hall, W. F., et al.. (1992). Efficacy of an in-feed preparation of ivermectin against endoparasites and scabies mites in swine. American Journal of Veterinary Research. 53(4). 508–512. 8 indexed citations
9.
Eurell, Thomas E., et al.. (1992). Serum haptoglobin concentration as an indicator of weight gain in pigs.. PubMed. 56(1). 6–9. 84 indexed citations
10.
Ebel, Eric D., Robert H. Hornbaker, & David P. Bane. (1991). Direct costs of pseudorabies in a population of infected farrow-to-finish swine herds. Journal of the American Veterinary Medical Association. 198(12). 2070–2075. 4 indexed citations
11.
Bane, David P., et al.. (1990). Porcine somatotropin: physiologic effects and potential influence on animal health.. Compendium on Continuing Education for The Practicing Veterinarian. 12(1). 117–121. 1 indexed citations
12.
Bane, David P., et al.. (1990). In vitro exposure of preimplantation porcine embryos to porcine parvovirus. Theriogenology. 33(2). 553–561. 28 indexed citations
13.
Eurell, Thomas E., et al.. (1990). Serum haptoglobin is associated with experimentally induced atrophic rhinitis in swine.. 3 indexed citations
14.
Bane, David P., et al.. (1990). Chlortetracycline in swine‐bioavailability and pharmacokinetics in fasted and fed pigs. Journal of Veterinary Pharmacology and Therapeutics. 13(1). 49–58. 19 indexed citations
15.
Hall, W. F., et al.. (1989). Plasma concentrations of oxytetracycline in swine after administration of the drug intramuscularly and orally in feed. Journal of the American Veterinary Medical Association. 194(9). 1265–1268. 18 indexed citations
16.
Bane, David P., et al.. (1989). Bioavailability, pharmacokinetics, and plasma concentration of tetracycline hydrochloride fed to swine. American Journal of Veterinary Research. 50(4). 518–521. 15 indexed citations
17.
Bane, David P., et al.. (1989). Sulfamethazine residues in swine: comparison of on-farm monitoring methods. Preventive Veterinary Medicine. 7(4). 303–309. 1 indexed citations
18.
Curtis, Stanley E., Tina M. Widowski, Roger D. Shanks, et al.. (1989). Effects of Sow-Crate Design on Health and Performance of Sows and Piglets. Journal of Animal Science. 67(1). 80–80. 20 indexed citations
19.
Bane, David P., et al.. (1988). Effects of Salinomycin on Sow Weight Change during Lactation and on Sow Reproductive Performance. Journal of Animal Science. 66(12). 3094–3094. 2 indexed citations
20.
Bane, David P., R. J. Meade, H. D. Hilley, & A. D. Leman. (1980). Influence of d-biotin and housing on hoof lesions.. 4 indexed citations

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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