I. Vetharaniam

541 total citations
39 papers, 372 citations indexed

About

I. Vetharaniam is a scholar working on Agronomy and Crop Science, Genetics and Molecular Biology. According to data from OpenAlex, I. Vetharaniam has authored 39 papers receiving a total of 372 indexed citations (citations by other indexed papers that have themselves been cited), including 11 papers in Agronomy and Crop Science, 9 papers in Genetics and 5 papers in Molecular Biology. Recurrent topics in I. Vetharaniam's work include Reproductive Physiology in Livestock (6 papers), Genetic and phenotypic traits in livestock (5 papers) and Milk Quality and Mastitis in Dairy Cows (4 papers). I. Vetharaniam is often cited by papers focused on Reproductive Physiology in Livestock (6 papers), Genetic and phenotypic traits in livestock (5 papers) and Milk Quality and Mastitis in Dairy Cows (4 papers). I. Vetharaniam collaborates with scholars based in New Zealand and United States. I. Vetharaniam's co-authors include G E Stedman, Ronald Anderson, Stephen R. Davis, T. K. Soboleva, Paul R. Shorten, G.C. Wake, M. Upsdell, E.S. Kolver, A. B. Pleasants and C. C. Daly and has published in prestigious journals such as Physics Reports, Journal of Dairy Science and Journal of Theoretical Biology.

In The Last Decade

I. Vetharaniam

35 papers receiving 347 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
I. Vetharaniam New Zealand 11 129 122 76 65 63 39 372
L. J. Boyd United States 10 164 1.3× 121 1.0× 6 0.1× 83 1.3× 3 0.0× 41 377
Cleon E. Dean United States 12 16 0.1× 49 0.4× 64 0.8× 90 1.4× 7 0.1× 35 401
Božidarka Marković Montenegro 8 41 0.3× 162 1.3× 15 0.2× 41 0.6× 28 274
P. Duffy Ireland 18 288 2.2× 200 1.6× 13 0.2× 42 0.6× 7 0.1× 41 935
J. M. D. Sanchez United States 9 155 1.2× 20 0.2× 45 0.6× 34 0.5× 33 320
Thomas G. Jenkins United States 17 575 4.5× 875 7.2× 26 0.3× 401 6.2× 63 1.2k
S. Frattini Italy 12 25 0.2× 112 0.9× 51 0.7× 13 0.2× 38 302
GL Rogers Fiji 8 231 1.8× 123 1.0× 22 0.3× 34 0.5× 22 313
M. Seki Japan 12 58 0.4× 70 0.6× 5 0.1× 14 0.2× 28 541
H. Takeda Japan 12 142 1.1× 300 2.5× 9 0.1× 206 3.2× 73 539

Countries citing papers authored by I. Vetharaniam

Since Specialization
Citations

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

Fields of papers citing papers by I. Vetharaniam

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by I. Vetharaniam. 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 I. Vetharaniam. The network helps show where I. Vetharaniam may publish in the future.

Co-authorship network of co-authors of I. Vetharaniam

This figure shows the co-authorship network connecting the top 25 collaborators of I. Vetharaniam. A scholar is included among the top collaborators of I. Vetharaniam 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 I. Vetharaniam. I. Vetharaniam 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.
Lilburne, Linda, Anne-Gäelle Ausseil, Abha Sood, et al.. (2024). Modelling to identify direct risks for New Zealand agriculture due to climate change. Journal of the Royal Society of New Zealand. 55(6). 1683–1700.
2.
Thomas, S., Anne-Gäelle Ausseil, Alexander Herzig, et al.. (2024). Exploring the role of high-value crops to reduce agricultural greenhouse gas emissions in New Zealand. Regional Environmental Change. 24(3).
3.
Vetharaniam, I., Levente Tímár, J. Stanley, et al.. (2022). Modelling Climate Change Impacts on Location Suitability and Spatial Footprint of Apple and Kiwifruit. Land. 11(10). 1639–1639. 9 indexed citations
4.
Singh, Kuljeet, I. Vetharaniam, Jane Dobson, et al.. (2016). Cell survival signaling in the bovine mammary gland during the transition from lactation to involution. Journal of Dairy Science. 99(9). 7523–7543. 21 indexed citations
5.
Vetharaniam, I., A. J. Peterson, K. P. McNatty, & T. K. Soboleva. (2010). Modelling female reproductive function in farmed animals. Animal Reproduction Science. 122(3-4). 164–173. 15 indexed citations
6.
Singh, Kuljeet, I. Vetharaniam, Marina Prewitz, Jane Dobson, & K. Stelwagen. (2009). Understanding the interaction of prolactin and leukaemia inhibitory factor signalling during the switch from lactation to involution : Brief Communication. Proceedings of the New Zealand Society of Animal Production. 69. 65–67. 1 indexed citations
7.
Vetharaniam, I., G. H. Shackell, & M. Upsdell. (2009). A Statistical Approach To Identifying the Batch of Origin of Mixed-Meat Products Using DNA Profiles. Journal of Food Protection. 72(9). 1948–1957. 1 indexed citations
8.
Vetharaniam, I., et al.. (2009). Modelling muscle energy-metabolism in anaerobic muscle. Meat Science. 85(1). 134–148. 18 indexed citations
9.
Vetharaniam, I. & N. D. Barlow. (2006). Modelling biocontrol of Varroa destructor using a benign haplotype as a competitive antagonist. New Zealand Journal of Ecology. 30(1). 87–102. 10 indexed citations
10.
Vetharaniam, I., et al.. (2005). Software for evaluating sampling strategies and error rates in the identification of mixed meat products. Proceedings of the New Zealand Society of Animal Production. 65. 102–106. 1 indexed citations
11.
Soboleva, T. K., et al.. (2005). Mathematical modelling of prolactin–receptor interaction and the corollary for prolactin receptor gene expression in skin. Journal of Theoretical Biology. 234(2). 289–298. 5 indexed citations
12.
Vetharaniam, I., Stephen R. Davis, T. K. Soboleva, Paul R. Shorten, & G.C. Wake. (2003). Modeling the Interaction of Milking Frequency and Nutrition on Mammary Gland Growth and Lactation. Journal of Dairy Science. 86(6). 1987–1996. 43 indexed citations
13.
Vetharaniam, I., Stephen R. Davis, M. Upsdell, E.S. Kolver, & A. B. Pleasants. (2003). Modeling the Effect of Energy Status on Mammary Gland Growth and Lactation. Journal of Dairy Science. 86(10). 3148–3156. 39 indexed citations
14.
Vetharaniam, I., et al.. (2001). Modelling the impact of nutrition and genotype on lactation. Proceedings of the New Zealand Society of Animal Production. 61. 237–238. 1 indexed citations
15.
Vetharaniam, I., et al.. (2001). Modelling the impact of milking frequency on lactation. Proceedings of the New Zealand Society of Animal Production. 61. 239–240. 1 indexed citations
16.
Vetharaniam, I., D.G. Mccall, P. F. Fennessy, & Dorian J. Garrick. (2001). A model of mammalian energetics and growth: model testing (sheep). Agricultural Systems. 68(1). 69–91. 4 indexed citations
17.
Vetharaniam, I. & C. C. Daly. (2000). Sensitivity of ultimate meat pH to initial metabolite concentration when glycogen is not limiting.. Proceedings of the New Zealand Society of Animal Production. 60. 120–123. 3 indexed citations
18.
Smith, J. F., I. Vetharaniam, D.G. Mccall, & H.R. Tervit. (2000). Role of reproductive technologies in reducing the time lag associated with the commercial application of genetic discovery in the sheep industry.. 60. 36–40. 1 indexed citations
19.
Vetharaniam, I. & D.G. Mccall. (1999). Beef cycle buffering by embryo technology adoption in the dairy industry in New Zealand. New Zealand Journal of Agricultural Research. 42(1). 37–45. 1 indexed citations
20.
Vetharaniam, I.. (1995). Simultaneity and test-theories of relativity. University of Canterbury Research Repository (University of Canterbury). 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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