D. C. J. Main

468 total citations
12 papers, 344 citations indexed

About

D. C. J. Main is a scholar working on Small Animals, Genetics and Speech and Hearing. According to data from OpenAlex, D. C. J. Main has authored 12 papers receiving a total of 344 indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Small Animals, 7 papers in Genetics and 5 papers in Speech and Hearing. Recurrent topics in D. C. J. Main's work include Animal Behavior and Welfare Studies (8 papers), Human-Animal Interaction Studies (6 papers) and Veterinary Practice and Education Studies (5 papers). D. C. J. Main is often cited by papers focused on Animal Behavior and Welfare Studies (8 papers), Human-Animal Interaction Studies (6 papers) and Veterinary Practice and Education Studies (5 papers). D. C. J. Main collaborates with scholars based in United Kingdom, Canada and United States. D. C. J. Main's co-authors include Laura Green, John Clegg, Siobhan Mullan, James Yeates, William J. Browne, Jana Holder, J.D. Wood, HR Whay, J.N. Huxley and S. Roderick and has published in prestigious journals such as Meat Science, Veterinary Record and animal.

In The Last Decade

D. C. J. Main

12 papers receiving 313 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
D. C. J. Main United Kingdom	8	284	158	139	68	65	12	344
Dcj Main United Kingdom	12	468 1.6×	214 1.4×	256 1.8×	76 1.1×	114 1.8×	25	550
Karianne Muri Norway	11	250 0.9×	159 1.0×	180 1.3×	26 0.4×	109 1.7×	18	382
Silvana Popescu Romania	9	287 1.0×	192 1.2×	146 1.1×	47 0.7×	66 1.0×	53	461
B. Kemp United States	6	159 0.6×	34 0.2×	182 1.3×	38 0.6×	40 0.6×	11	376
Mairi Stewart New Zealand	15	405 1.4×	286 1.8×	152 1.1×	12 0.2×	35 0.5×	23	554
J. Brinkmann Austria	8	314 1.1×	264 1.7×	98 0.7×	12 0.2×	87 1.3×	8	388
Valérie Courboulay France	11	310 1.1×	230 1.5×	91 0.7×	9 0.1×	55 0.8×	29	369
Satu Raussi Finland	10	320 1.1×	206 1.3×	154 1.1×	6 0.1×	79 1.2×	21	386
AD Fisher Australia	11	328 1.2×	214 1.4×	89 0.6×	8 0.1×	69 1.1×	19	466
C.M. Maggs United Kingdom	4	301 1.1×	135 0.9×	122 0.9×	12 0.2×	168 2.6×	5	331

Countries citing papers authored by D. C. J. Main

Since Specialization

Citations

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

Fields of papers citing papers by D. C. J. Main

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by D. C. J. Main. 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 D. C. J. Main. The network helps show where D. C. J. Main may publish in the future.

Co-authorship network of co-authors of D. C. J. Main

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

All Works

Sort: Min cites: Since: Top N: Style:

12 of 12 papers shown

1.

Main, D. C. J., et al.. (2017). Learning from the experts: innovation within practice-led collaborative networks in the laying hen sector.. 1–8. 2 indexed citations

2.

Mullan, Siobhan, et al.. (2016). Assessment of unnecessary suffering in animals by veterinary experts. Veterinary Record. 179(12). 307–307. 8 indexed citations

3.

Browne, William J., et al.. (2014). Navigating the iceberg: reducing the number of parameters within the Welfare Quality® assessment protocol for dairy cows. animal. 8(12). 1978–1986. 54 indexed citations

4.

Yeates, James & D. C. J. Main. (2011). Veterinary surgeons' opinions on dog welfare issues. Journal of Small Animal Practice. 52(9). 464–468. 20 indexed citations

5.

Yeates, James, et al.. (2011). Promoting discussions and decisions about dogs' quality‐of‐life. Journal of Small Animal Practice. 52(9). 459–463. 16 indexed citations

6.

Mullan, Siobhan, Andrew Butterworth, HR Whay, S.A. Edwards, & D. C. J. Main. (2010). Consultation of pig farmers on the inclusion of some welfare outcome assessments within UK farm assurance. Veterinary Record. 166(22). 678–680. 3 indexed citations

7.

Main, D. C. J., et al.. (2009). Essential veterinary education in the welfare of food production animals. Revue Scientifique et Technique de l OIE. 28(2). 611–616. 7 indexed citations

8.

Main, D. C. J.. (2006). Offering the best to patients: ethical issues associated with the provision of veterinary services. Veterinary Record. 158(2). 62–66. 31 indexed citations

9.

Huxley, J.N., et al.. (2004). Animal welfare assessment benchmarking as a tool for health and welfare planning in organic dairy herds. Veterinary Record. 155(8). 237–239. 33 indexed citations

10.

Main, D. C. J. & Laura Green. (2000). Descriptive analysis of the operation of the Farm Assured British Pigs scheme. Veterinary Record. 147(6). 162–163. 6 indexed citations

11.

Main, D. C. J., et al.. (2000). Repeatability of a lameness scoring system for finishing pigs. Veterinary Record. 147(20). 574–576. 126 indexed citations

12.

Wood, J.D., Jana Holder, & D. C. J. Main. (1998). Quality Assurance schemes. Meat Science. 49. S191–S203. 38 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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