T.M. Sullivan

548 total citations
14 papers, 466 citations indexed

About

T.M. Sullivan is a scholar working on Pediatrics, Perinatology and Child Health, Agronomy and Crop Science and Endocrinology, Diabetes and Metabolism. According to data from OpenAlex, T.M. Sullivan has authored 14 papers receiving a total of 466 indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Pediatrics, Perinatology and Child Health, 9 papers in Agronomy and Crop Science and 5 papers in Endocrinology, Diabetes and Metabolism. Recurrent topics in T.M. Sullivan's work include Birth, Development, and Health (9 papers), Reproductive Physiology in Livestock (9 papers) and Growth Hormone and Insulin-like Growth Factors (5 papers). T.M. Sullivan is often cited by papers focused on Birth, Development, and Health (9 papers), Reproductive Physiology in Livestock (9 papers) and Growth Hormone and Insulin-like Growth Factors (5 papers). T.M. Sullivan collaborates with scholars based in Australia, United States and Ireland. T.M. Sullivan's co-authors include V.E.A. Perry, G.C. Micke, Ristan M. Greer, Ricardo J. Soares Magalhães, Kathryn L. Gatford, Julie A. Owens, Sheridan Gentili, I. C. McMillen, Scott Norman and Helen F. Irving‐Rodgers and has published in prestigious journals such as Journal of Animal Science, Reproduction and Molecular and Cellular Endocrinology.

In The Last Decade

T.M. Sullivan

14 papers receiving 458 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
T.M. Sullivan Australia	13	289	268	122	102	70	14	466
G.C. Micke Australia	13	289 1.0×	268 1.0×	122 1.0×	102 1.0×	70 1.0×	14	466
TS Gadd United Kingdom	11	236 0.8×	223 0.8×	134 1.1×	151 1.5×	106 1.5×	11	511
D.A. Bourke United Kingdom	10	179 0.6×	256 1.0×	88 0.7×	186 1.8×	58 0.8×	12	438
Bessie Urquieta Chile	11	145 0.5×	86 0.3×	117 1.0×	54 0.5×	116 1.7×	24	397
P. A. Grant Australia	11	95 0.3×	182 0.7×	68 0.6×	118 1.2×	43 0.6×	16	396
R. V. Anthony United States	9	102 0.4×	87 0.3×	66 0.5×	47 0.5×	28 0.4×	11	329
D.W. Burleigh United States	10	92 0.3×	115 0.4×	35 0.3×	127 1.2×	74 1.1×	10	434
K. J. Copping Australia	12	215 0.7×	84 0.3×	166 1.4×	35 0.3×	35 0.5×	23	301
P. Laigre France	7	100 0.3×	171 0.6×	169 1.4×	80 0.8×	220 3.1×	9	458
W.F. Williams United States	13	355 1.2×	49 0.2×	157 1.3×	51 0.5×	53 0.8×	35	499

Countries citing papers authored by T.M. Sullivan

Since Specialization

Citations

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

Fields of papers citing papers by T.M. Sullivan

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of T.M. Sullivan

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

All Works

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14 of 14 papers shown

Micke, G.C., T.M. Sullivan, David J. Kennaway, Juan Hernandez-Medrano, & V.E.A. Perry. (2014). Maternal endocrine adaptation throughout pregnancy to nutrient manipulation: Consequences for sexually dimorphic programming of thyroid hormones and development of their progeny. Theriogenology. 83(4). 604–615. 28 indexed citations

Micke, G.C., T.M. Sullivan, I. C. McMillen, Sheridan Gentili, & V.E.A. Perry. (2011). Heifer nutrient intake during early- and mid-gestation programs adult offspring adiposity and mRNA expression of growth-related genes in adipose depots. Reproduction. 141(5). 697–706. 30 indexed citations

Micke, G.C., T.M. Sullivan, Kathryn L. Gatford, Julie A. Owens, & V.E.A. Perry. (2010). Nutrient intake in the bovine during early and mid-gestation causes sex-specific changes in progeny plasma IGF-I, liveweight, height and carcass traits. Animal Reproduction Science. 121(3-4). 208–217. 62 indexed citations

Micke, G.C., T.M. Sullivan, I. C. McMillen, Sheridan Gentili, & V.E.A. Perry. (2010). Protein intake during gestation affects postnatal bovine skeletal muscle growth and relative expression of IGF1, IGF1R, IGF2 and IGF2R. Molecular and Cellular Endocrinology. 332(1-2). 234–241. 42 indexed citations

Micke, G.C., T.M. Sullivan, & V.E.A. Perry. (2010). 303. NUTRIENT INTAKE OF BOS INDICUS HEIFERS DURING EARLY AND MID-GESTATION CAUSES CHANGES TO PLASMA CONCENTRATIONS OF TRIIODOTHYRONINE (T3) AND THYROXINE (T4) OF THEIR PROGENY. Reproduction Fertility and Development. 22(9). 103–103. 1 indexed citations

Sullivan, T.M., G.C. Micke, NR Perkins, et al.. (2009). Dietary protein during gestation affects maternal insulin-like growth factor, insulin-like growth factor binding protein, leptin concentrations, and fetal growth in heifers. Journal of Animal Science. 87(10). 3304–3316. 35 indexed citations

Micke, G.C., et al.. (2009). Dystocia in 3-year-old beef heifers; Relationship to maternal nutrient intake during early- and mid-gestation, pelvic area and hormonal indicators of placental function. Animal Reproduction Science. 118(2-4). 163–170. 16 indexed citations

Irving‐Rodgers, Helen F., Wendy M. Bonner, T.M. Sullivan, et al.. (2009). Fibrillins and latent TGFβ binding proteins in bovine ovaries of offspring following high or low protein diets during pregnancy of dams. Molecular and Cellular Endocrinology. 307(1-2). 133–141. 20 indexed citations

Sullivan, T.M., G.C. Micke, Ricardo J. Soares Magalhães, N. Phillips, & V.E.A. Perry. (2009). Dietary protein during gestation affects placental development in heifers. Theriogenology. 72(4). 427–438. 30 indexed citations

10.

Micke, G.C., et al.. (2009). Heifer nutrition during early- and mid-pregnancy alters fetal growth trajectory and birth weight. Animal Reproduction Science. 117(1-2). 1–10. 67 indexed citations

11.

Sullivan, T.M., G.C. Micke, Ristan M. Greer, & V.E.A. Perry. (2009). Dietary manipulation of Bos indicus× heifers during gestation affects the prepubertal reproductive development of their bull calves. Animal Reproduction Science. 118(2-4). 131–139. 35 indexed citations

12.

Sullivan, T.M., G.C. Micke, Ricardo J. Soares Magalhães, et al.. (2009). Dietary Protein During Gestation Affects Circulating Indicators of Placental Function and Fetal Development in Heifers. Placenta. 30(4). 348–354. 22 indexed citations

13.

Sullivan, T.M., G.C. Micke, & V.E.A. Perry. (2009). Influences of diet during gestation on potential postpartum reproductive performance and milk production of beef heifers. Theriogenology. 72(9). 1202–1214. 23 indexed citations

14.

Sullivan, T.M., G.C. Micke, Ristan M. Greer, et al.. (2009). Dietary manipulation of Bos indicus × heifers during gestation affects the reproductive development of their heifer calves. Reproduction Fertility and Development. 21(6). 773–784. 55 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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