Daniel L. Grooms

2.8k total citations
86 papers, 2.0k citations indexed

About

Daniel L. Grooms is a scholar working on Agronomy and Crop Science, Infectious Diseases and Ecology, Evolution, Behavior and Systematics. According to data from OpenAlex, Daniel L. Grooms has authored 86 papers receiving a total of 2.0k indexed citations (citations by other indexed papers that have themselves been cited), including 40 papers in Agronomy and Crop Science, 36 papers in Infectious Diseases and 29 papers in Ecology, Evolution, Behavior and Systematics. Recurrent topics in Daniel L. Grooms's work include Animal Disease Management and Epidemiology (37 papers), Vector-Borne Animal Diseases (28 papers) and Viral gastroenteritis research and epidemiology (26 papers). Daniel L. Grooms is often cited by papers focused on Animal Disease Management and Epidemiology (37 papers), Vector-Borne Animal Diseases (28 papers) and Viral gastroenteritis research and epidemiology (26 papers). Daniel L. Grooms collaborates with scholars based in United States, Canada and Poland. Daniel L. Grooms's co-authors include Kenny V. Brock, Evangelyn C. Alocilja, Steven R. Bolin, John B. Kaneene, Julia F. Ridpath, Lucy Ward, Paul C. Bartlett, Bo Norby, Paul H. Walz and Roger K. Maes and has published in prestigious journals such as SHILAP Revista de lepidopterología, Applied and Environmental Microbiology and Journal of Clinical Microbiology.

In The Last Decade

Daniel L. Grooms

84 papers receiving 1.9k citations

Peers

Daniel L. Grooms
G. C. Pritchard United Kingdom
Marie‐Frédérique Le Potier France
Sándor Bélak Sweden
Xuepeng Cai China
Michael P. Reichel Australia
M. Daniel Givens United States
Simon P. Graham United Kingdom
Robert W. Fulton United States
John D. Neill United States
Gaya Prasad India
G. C. Pritchard United Kingdom
Daniel L. Grooms
Citations per year, relative to Daniel L. Grooms Daniel L. Grooms (= 1×) peers G. C. Pritchard

Countries citing papers authored by Daniel L. Grooms

Since Specialization
Citations

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

Fields of papers citing papers by Daniel L. Grooms

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Daniel L. Grooms

This figure shows the co-authorship network connecting the top 25 collaborators of Daniel L. Grooms. A scholar is included among the top collaborators of Daniel L. Grooms 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 Daniel L. Grooms. Daniel L. Grooms 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.
Norby, Bo, et al.. (2020). Impact of bovine leukemia virus infection on beef cow longevity. Preventive Veterinary Medicine. 181. 105055–105055. 16 indexed citations
2.
Urban‐Chmiel, Renata, et al.. (2014). Detection of bovine respiratory syncytial virus infections in young dairy and beef cattle in Poland. Veterinary Quarterly. 35(1). 33–36. 7 indexed citations
3.
Grooms, Daniel L., et al.. (2013). Bovine leukemia virus in Michigan beef bulls. American Association of Bovine Practitioners Conference Proceedings. 202–202. 3 indexed citations
4.
5.
Kaneene, John B., et al.. (2011). Detection of Mycobacterium avium subspecies paratuberculosis in naturally exposed dairy heifers and associated risk factors. Journal of Dairy Science. 94(9). 4669–4675. 12 indexed citations
6.
Walz, Paul H., Daniel L. Grooms, Thomas Passler, et al.. (2010). Control of Bovine Viral Diarrhea Virus in Ruminants. Journal of Veterinary Internal Medicine. 24(3). 476–486. 94 indexed citations
7.
Grooms, Daniel L., et al.. (2010). Association between risk-assessment scores and individual-cow Johne's disease-test status over time on seven Michigan, USA dairy herds. Preventive Veterinary Medicine. 98(1). 10–18. 23 indexed citations
8.
Grooms, Daniel L., et al.. (2010). Effect of Tail Docking on Health and Performance on Feedlot Calves Housed in Confined Slotted Floor Facilities. American Association of Bovine Practitioners Conference Proceedings. 236–236. 3 indexed citations
9.
Grooms, Daniel L.. (2006). Reproductive losses caused by bovine viral diarrhea virus and leptospirosis. Theriogenology. 66(3). 624–628. 105 indexed citations
10.
Kaneene, John B., et al.. (2006). Environmental Distribution of Mycobacterium avium paratuberculosis (MAP) on Michigan Dairy Farms. American Association of Bovine Practitioners Conference Proceedings. 280–281.
11.
Grooms, Daniel L., et al.. (2005). Fecal Shedding of Mycobacterium avium subsp paratuberculosis in Calves. American Association of Bovine Practitioners Conference Proceedings. 163–163. 2 indexed citations
12.
Norby, Bo, Paul C. Bartlett, Daniel L. Grooms, John B. Kaneene, & Colleen S. Bruning-Fann. (2005). Use of simulation modeling to estimate herd-level sensitivity, specificity, and predictive values of diagnostic tests for detection of tuberculosis in cattle. American Journal of Veterinary Research. 66(7). 1285–1291. 5 indexed citations
13.
Walz, Paul H., et al.. (2005). Platelet function and association of bovine viral diarrhea virus with platelets of persistently infected cattle. American Journal of Veterinary Research. 66(10). 1738–1742. 3 indexed citations
14.
Grooms, Daniel L., et al.. (2004). Evaluation of two rapid assays for detecting Cryptosporidium parvum in calf feces. Journal of the American Veterinary Medical Association. 225(7). 1090–1092. 5 indexed citations
15.
Bolin, Steven R. & Daniel L. Grooms. (2004). Origination and consequences of bovine viral diarrhea virus diversity. Veterinary Clinics of North America Food Animal Practice. 20(1). 51–68. 48 indexed citations
16.
Alocilja, Evangelyn C., et al.. (2003). Experimental Use of a Gas Sensor–Based Instrument for Differentiation of Escherichia coli O157:H7 from Non-O157:H7 Escherichia coli Field Isolates. Journal of Food Protection. 66(8). 1455–1458. 1 indexed citations
17.
Alocilja, Evangelyn C., et al.. (2002). Differentiation of Escherichia coli 0157:H7 from non-0157:H7 E. coli serotypes using a gas sensor-based, computer-controlled detection system. Transactions of the ASABE. 45(45). 1681–1686. 1 indexed citations
18.
Walz, Paul H., Thomas G. Bell, Daniel L. Grooms, et al.. (2001). Relationship between degree of viremia and disease manifestations in calves with experimentally induced bovine viral diarrhea virus infection. American Journal of Veterinary Research. 62(7). 1095–1103. 56 indexed citations
19.
Grooms, Daniel L., Lana Kaiser, Paul H. Walz, & John C. Baker. (2001). Study of cattle persistently infected with bovine viral diarrhea virus that lack detectable virus in serum. Journal of the American Veterinary Medical Association. 219(5). 629–631. 11 indexed citations
20.
Grooms, Daniel L., Lucy Ward, & Kenny V. Brock. (1996). Morphologic changes and immunohistochemical detection of viral antigen in ovaries from cattle persistently infected with bovine viral diarrhea virus. American Journal of Veterinary Research. 57(6). 830–833. 30 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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