Donald S. Davis

1.4k total citations
63 papers, 1.0k citations indexed

About

Donald S. Davis is a scholar working on Small Animals, Ecology and Epidemiology. According to data from OpenAlex, Donald S. Davis has authored 63 papers receiving a total of 1.0k indexed citations (citations by other indexed papers that have themselves been cited), including 27 papers in Small Animals, 19 papers in Ecology and 11 papers in Epidemiology. Recurrent topics in Donald S. Davis's work include Brucella: diagnosis, epidemiology, treatment (20 papers), Wildlife Ecology and Conservation (12 papers) and Monoclonal and Polyclonal Antibodies Research (9 papers). Donald S. Davis is often cited by papers focused on Brucella: diagnosis, epidemiology, treatment (20 papers), Wildlife Ecology and Conservation (12 papers) and Monoclonal and Polyclonal Antibodies Research (9 papers). Donald S. Davis collaborates with scholars based in United States, Ireland and Germany. Donald S. Davis's co-authors include Philip H. Elzer, L. Garry Adams, Thomas A. Ficht, Charles Mitter, Nova J. Silvy, Conrad C. Labandeira, Jae‐Cheon Sohn, Roel R. Lopez, Joe W. Templeton and Thomas M. Craig and has published in prestigious journals such as SHILAP Revista de lepidopterología, PLoS ONE and Annals of the New York Academy of Sciences.

In The Last Decade

Donald S. Davis

63 papers receiving 940 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Donald S. Davis United States 21 426 236 220 201 193 63 1.0k
Daniel Fernández de Luco Spain 20 184 0.4× 241 1.0× 275 1.3× 152 0.8× 244 1.3× 45 1.2k
Pedro Fernández‐Llario Spain 23 317 0.7× 452 1.9× 338 1.5× 115 0.6× 224 1.2× 69 1.3k
Paolo Tizzani Italy 21 208 0.5× 381 1.6× 217 1.0× 233 1.2× 224 1.2× 99 1.2k
Graham Burgess Australia 19 163 0.4× 103 0.4× 265 1.2× 123 0.6× 217 1.1× 69 1.1k
Kirstine Klitgaard Denmark 24 361 0.8× 99 0.4× 165 0.8× 321 1.6× 371 1.9× 39 1.5k
Thomas Gidlewski United States 20 287 0.7× 212 0.9× 478 2.2× 106 0.5× 632 3.3× 56 1.6k
Marie‐Pierre Ryser‐Degiorgis Switzerland 24 254 0.6× 282 1.2× 354 1.6× 360 1.8× 333 1.7× 62 1.4k
Carlos Martínez‐Carrasco Spain 18 226 0.5× 380 1.6× 140 0.6× 114 0.6× 72 0.4× 91 1.2k
Álvaro Oleaga Spain 22 194 0.5× 136 0.6× 242 1.1× 289 1.4× 210 1.1× 44 1.1k
E. Ferroglio Italy 15 146 0.3× 187 0.8× 277 1.3× 76 0.4× 225 1.2× 39 815

Countries citing papers authored by Donald S. Davis

Since Specialization
Citations

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

Fields of papers citing papers by Donald S. Davis

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Donald S. Davis. 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 Donald S. Davis. The network helps show where Donald S. Davis may publish in the future.

Co-authorship network of co-authors of Donald S. Davis

This figure shows the co-authorship network connecting the top 25 collaborators of Donald S. Davis. A scholar is included among the top collaborators of Donald S. Davis 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 Donald S. Davis. Donald S. Davis 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.
Bieryla, Allyson, et al.. (2020). LightSound: A Sonification Tool for Observing Solar Eclipses. 235. 1 indexed citations
2.
Silvy, Nova J., et al.. (2017). Ranges and Movements of Montezuma Quail in Southeast Arizona. National Quail Symposium Proceedings. 8. 2 indexed citations
3.
Lopez, Roel R., et al.. (2015). A model for assessing mammal contribution of Escherichia coli to a Texas floodplain. Wildlife Research. 42(3). 217–222. 1 indexed citations
4.
Lopez, Roel R., et al.. (2014). Impact of gate width of corral traps in potential wild pig trapping success. SHILAP Revista de lepidopterología. 38(4). 892–895. 5 indexed citations
5.
Sohn, Jae‐Cheon, Conrad C. Labandeira, Donald S. Davis, & Charles Mitter. (2012). An annotated catalog of fossil and subfossil Lepidoptera (Insecta: Holometabola) of the world. Zootaxa. 3286(1). 88 indexed citations
6.
Holman, Patricia J., et al.. (2010). Molecular detection of Babesia bovis and Babesia bigemina in white-tailed deer (Odocoileus virginianus) from Tom Green County in central Texas. Veterinary Parasitology. 177(3-4). 298–304. 35 indexed citations
7.
Arenas-Gamboa, Ángela M., et al.. (2009). ENHANCED IMMUNE RESPONSE OF RED DEER (CERVUS ELAPHUS) TO LIVE RB51 VACCINE STRAIN USING COMPOSITE MICROSPHERES. Journal of Wildlife Diseases. 45(1). 165–173. 16 indexed citations
8.
Lopez, Roel R., et al.. (2008). Effects of US 1 Project on Florida Key Deer Mortality. Journal of Wildlife Management. 72(2). 354–359. 9 indexed citations
9.
Gill, C. A., J. W. Templeton, James N. Derr, et al.. (2007). Molecular Characterization of the Rocky Mountain Elk (Cervus elaphus nelsoni) PRNP Putative Promoter. Journal of Heredity. 98(7). 678–686. 4 indexed citations
10.
Pfeffer, Martin, et al.. (2002). Genetic Evidence for Tula Virus in Microtus arvalis and Microtus agrestis Populations in Croatia. Vector-Borne and Zoonotic Diseases. 2(1). 19–27. 37 indexed citations
11.
Davis, Donald S. & Philip H. Elzer. (2002). Brucella vaccines in wildlife. Veterinary Microbiology. 90(1-4). 533–544. 52 indexed citations
12.
Elzer, Philip H., J S Smith, Thomas J. Roffe, et al.. (2002). Evaluation ofBrucella abortusStrain RB51 and Strain 19 in Pronghorn Antelope. Annals of the New York Academy of Sciences. 969(1). 102–105. 10 indexed citations
13.
Huang, Jun, et al.. (2002). Articulatory speech synthesis based upon fluid dynamic principles. IEEE International Conference on Acoustics Speech and Signal Processing. 64. I–445. 1 indexed citations
14.
Edwards, John F., et al.. (2001). Fusobacteriosis in Captive Wild-caught Pronghorns (Antilocapra americana). Veterinary Pathology. 38(5). 549–552. 14 indexed citations
15.
Pillai, Suresh D., Kenneth W. Widmer, Michael F. Kelley, et al.. (2000). Failure to identify non-bovine reservoirs of Mycobacterium bovis in a region with a history of infected dairy-cattle herds. Preventive Veterinary Medicine. 43(1). 53–62. 17 indexed citations
16.
Elzer, Philip H., Matthew D. Edmonds, Sue D. Hagius, et al.. (1998). Safety of Brucella abortus Strain RB51 in Bison. Journal of Wildlife Diseases. 34(4). 825–829. 21 indexed citations
17.
Qureshi, Tariq R., et al.. (1995). Enzyme-linked immunoelectrotransfer blot analysis of excretory-secretory proteins of Fascioloides magna and Fasciola hepatica. Veterinary Parasitology. 58(4). 357–363. 9 indexed citations
18.
Peterson, Markus J., William E. Grant, & Donald S. Davis. (1991). Simulation of host—parasite interactions within a resource management framework: impact of brucellosis on bison population dynamics. Ecological Modelling. 54(3-4). 299–320. 20 indexed citations
19.
Davis, Donald S., et al.. (1979). Brucella abortus IN COYOTES. I. A SEROLOGIC AND BACTERIOLOGIC SURVEY IN EASTERN TEXAS. Journal of Wildlife Diseases. 15(3). 367–372. 20 indexed citations
20.
Davis, Donald S., et al.. (1977). EXPERIMENTAL INFECTION OF COLLARED PECCARY (Dicotyles tajacu angulatus) WITH SWINE KIDNEY WORM (Stephanurus dentatus). Journal of Wildlife Diseases. 13(4). 445–447. 1 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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