T.T. Wheeler

1.1k total citations
21 papers, 854 citations indexed

About

T.T. Wheeler is a scholar working on Agronomy and Crop Science, Molecular Biology and Physiology. According to data from OpenAlex, T.T. Wheeler has authored 21 papers receiving a total of 854 indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Agronomy and Crop Science, 5 papers in Molecular Biology and 4 papers in Physiology. Recurrent topics in T.T. Wheeler's work include Milk Quality and Mastitis in Dairy Cows (8 papers), Infant Nutrition and Health (4 papers) and Salivary Gland Disorders and Functions (3 papers). T.T. Wheeler is often cited by papers focused on Milk Quality and Mastitis in Dairy Cows (8 papers), Infant Nutrition and Health (4 papers) and Salivary Gland Disorders and Functions (3 papers). T.T. Wheeler collaborates with scholars based in New Zealand, Australia and Germany. T.T. Wheeler's co-authors include K. Stelwagen, Brendan Haigh, A. Hodgkinson, Elizabeth Carpenter, Henry B. Sadowski, David A. Young, Grant Smolenski, Kuljeet Singh, Adrian Molenaar and R. Murney and has published in prestigious journals such as Journal of Biological Chemistry, Analytical Biochemistry and Journal of Dairy Science.

In The Last Decade

T.T. Wheeler

21 papers receiving 820 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
T.T. Wheeler New Zealand 14 278 270 208 199 142 21 854
Christine M Røntved Denmark 20 592 2.1× 290 1.1× 169 0.8× 171 0.9× 219 1.5× 32 1.1k
Masateru Koiwa Japan 16 417 1.5× 293 1.1× 111 0.5× 82 0.4× 112 0.8× 63 915
J. W. Blum Switzerland 18 395 1.4× 374 1.4× 113 0.5× 260 1.3× 137 1.0× 32 871
Kampon Kaeoket Thailand 21 343 1.2× 159 0.6× 120 0.6× 83 0.4× 186 1.3× 74 1.1k
Mary Waterston United Kingdom 12 244 0.9× 279 1.0× 69 0.3× 68 0.3× 92 0.6× 16 626
Caroline J. Hogarth United Kingdom 5 501 1.8× 321 1.2× 89 0.4× 171 0.9× 97 0.7× 6 678
J. J. Rejman United States 14 163 0.6× 74 0.3× 214 1.0× 207 1.0× 102 0.7× 23 539
Hiromichi OHTSUKA Japan 15 475 1.7× 240 0.9× 79 0.4× 99 0.5× 142 1.0× 95 874
GH McDowell Australia 20 685 2.5× 228 0.8× 96 0.5× 134 0.7× 315 2.2× 69 1.2k
T. K. Goswami India 17 87 0.3× 96 0.4× 212 1.0× 81 0.4× 92 0.6× 70 816

Countries citing papers authored by T.T. Wheeler

Since Specialization
Citations

This map shows the geographic impact of T.T. Wheeler'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 T.T. Wheeler with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites T.T. Wheeler more than expected).

Fields of papers citing papers by T.T. Wheeler

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of T.T. Wheeler

This figure shows the co-authorship network connecting the top 25 collaborators of T.T. Wheeler. A scholar is included among the top collaborators of T.T. Wheeler 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 T.T. Wheeler. T.T. Wheeler 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.
2.
Francis, Heather, et al.. (2024). The Prevalence of Cognitive Impairment in Relapsing-Remitting Multiple Sclerosis: A Systematic Review and Meta-analysis. Neuropsychology Review. 35(2). 233–253. 10 indexed citations
3.
Murney, R., et al.. (2015). The effects of milking frequency on insulin-like growth factor I signaling within the mammary gland of dairy cows. Journal of Dairy Science. 98(8). 5422–5428. 17 indexed citations
4.
5.
Murney, R., et al.. (2014). The effects of milking frequency in early lactation on milk yield, mammary cell turnover, and secretory activity in grazing dairy cows. Journal of Dairy Science. 98(1). 305–311. 33 indexed citations
6.
Holmes, Ann R., Maria Elisa Rodrigues, Karl Lyons, et al.. (2014). Adherence of Candida albicans to silicone is promoted by the human salivary protein SPLUNC2/PSP/BPIFA2. Molecular Oral Microbiology. 29(2). 90–98. 13 indexed citations
7.
Wheeler, T.T., Grant Smolenski, Sandeep Gupta, et al.. (2011). Host-defence-related proteins in cows’ milk. animal. 6(3). 415–422. 39 indexed citations
8.
Smolenski, Grant, et al.. (2011). The abundance of milk cathelicidin proteins during bovine mastitis. Veterinary Immunology and Immunopathology. 143(1-2). 125–130. 47 indexed citations
9.
Crawford, A. M., Rüdiger Bräuning, Grant Smolenski, et al.. (2008). The constituents of Microctonus sp. parasitoid venoms. Insect Molecular Biology. 17(3). 313–324. 60 indexed citations
10.
Stelwagen, K., Elizabeth Carpenter, Brendan Haigh, A. Hodgkinson, & T.T. Wheeler. (2008). Immune components of bovine colostrum and milk1. Journal of Animal Science. 87(suppl_13). 3–9. 372 indexed citations
11.
Singh, Kuljeet, Stephen R. Davis, Jane Dobson, et al.. (2008). cDNA Microarray Analysis Reveals that Antioxidant and Immune Genes Are Upregulated During Involution of the Bovine Mammary Gland. Journal of Dairy Science. 91(6). 2236–2246. 56 indexed citations
12.
Haigh, Brendan, et al.. (2007). The bovine salivary proteins BSP30a and BSP30b are independently expressed BPI-like proteins with anti-Pseudomonas activity. Molecular Immunology. 45(7). 1944–1951. 19 indexed citations
13.
Singh, Kusum, Adrian Molenaar, K. Stelwagen, et al.. (2004). The use of cDNA microarrays to investigate changes in gene expression in the involuting bovine mammary gland. Proceedings of the New Zealand Society of Animal Production. 64. 8–10. 1 indexed citations
14.
Wheeler, T.T., et al.. (2003). Bovine parotid secretory protein: structure, expression and relatedness to other BPI (bactericidal/permeability-increasing protein)-like proteins. Biochemical Society Transactions. 31(4). 781–784. 8 indexed citations
15.
Molenaar, Adrian, et al.. (2000). The STAT3-encoding gene resides within the 40 kbp gap between the STAT5A- and STAT5B-encoding genes in cattle. Animal Genetics. 31(5). 339–339. 19 indexed citations
16.
Wheeler, T.T., et al.. (1997). Differences in the Abundance of Nuclear Proteins in the Bovine Mammary Gland Throughout the Lactation and Gestation Cycles. Journal of Dairy Science. 80(9). 2011–2019. 18 indexed citations
17.
18.
Wheeler, T.T. & Henry C. Ford. (1988). A search for protein abnormalities in erythrocyte membranes and platelets from patients with multiple sclerosis using double-label two-dimensional electrophoresis. Journal of the Neurological Sciences. 88(1-3). 151–159. 2 indexed citations
19.
Wheeler, T.T., T. William Jordan, & Henry C. Ford. (1987). Double-label two-dimensional electrophoresis of serum and plasma proteins from patients with multiple sclerosis. Journal of the Neurological Sciences. 78(1). 87–92. 6 indexed citations
20.
Wheeler, T.T., et al.. (1986). A double-label two-dimensional gel electrophoresis procedure specifically designed for serum or plasma protein analysis. Analytical Biochemistry. 159(1). 1–7. 8 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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