P. J. Fowke

540 total citations
9 papers, 459 citations indexed

About

P. J. Fowke is a scholar working on Molecular Biology, Cardiology and Cardiovascular Medicine and Agronomy and Crop Science. According to data from OpenAlex, P. J. Fowke has authored 9 papers receiving a total of 459 indexed citations (citations by other indexed papers that have themselves been cited), including 4 papers in Molecular Biology, 3 papers in Cardiology and Cardiovascular Medicine and 3 papers in Agronomy and Crop Science. Recurrent topics in P. J. Fowke's work include Cardiac Fibrosis and Remodeling (2 papers), Muscle Physiology and Disorders (2 papers) and Growth Hormone and Insulin-like Growth Factors (2 papers). P. J. Fowke is often cited by papers focused on Cardiac Fibrosis and Remodeling (2 papers), Muscle Physiology and Disorders (2 papers) and Growth Hormone and Insulin-like Growth Factors (2 papers). P. J. Fowke collaborates with scholars based in New Zealand. P. J. Fowke's co-authors include Mridula Sharma, Kenneth G. Matthews, W. Gregory Somers, John V. Conaglen, Ravi Kambadur, John J. Bass, Gerard Devlin, S. Hodgkinson, Eric F. Walton and J. J. Bass and has published in prestigious journals such as Journal of Cellular Physiology, Journal of Animal Science and Journal of Endocrinology.

In The Last Decade

P. J. Fowke

9 papers receiving 443 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
P. J. Fowke New Zealand 6 342 125 104 85 59 9 459
Ferenc Jeanplong New Zealand 12 568 1.7× 192 1.5× 74 0.7× 103 1.2× 69 1.2× 19 650
Carole Berry New Zealand 13 513 1.5× 212 1.7× 63 0.6× 114 1.3× 81 1.4× 21 749
Isabel Carneiro Spain 8 471 1.4× 152 1.2× 73 0.7× 82 1.0× 18 0.3× 11 532
K. Azibi France 14 583 1.7× 124 1.0× 162 1.6× 146 1.7× 16 0.3× 18 770
M. G. Ashby New Zealand 4 333 1.0× 189 1.5× 35 0.3× 37 0.4× 35 0.6× 6 486
Erin Plummer New Zealand 4 458 1.3× 234 1.9× 49 0.5× 39 0.5× 19 0.3× 6 540
Heather I. Cohn United States 10 210 0.6× 52 0.4× 67 0.6× 88 1.0× 26 0.4× 16 425
Tsghe Abraha United States 8 323 0.9× 97 0.8× 29 0.3× 56 0.7× 62 1.1× 10 461
Taejeong Song United States 14 362 1.1× 102 0.8× 123 1.2× 56 0.7× 15 0.3× 24 477
Muriel Hérasse France 11 389 1.1× 43 0.3× 78 0.8× 38 0.4× 70 1.2× 11 517

Countries citing papers authored by P. J. Fowke

Since Specialization
Citations

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

Fields of papers citing papers by P. J. Fowke

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by P. J. Fowke. 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 P. J. Fowke. The network helps show where P. J. Fowke may publish in the future.

Co-authorship network of co-authors of P. J. Fowke

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

All Works

9 of 9 papers shown
1.
Sharma, Mridula, Ravi Kambadur, Kenneth G. Matthews, et al.. (1999). Myostatin, a transforming growth factor-? superfamily member, is expressed in heart muscle and is upregulated in cardiomyocytes after infarct. Journal of Cellular Physiology. 180(1). 1–9. 344 indexed citations
2.
Sharma, Mridula, Ravi Kambadur, Kenneth G. Matthews, et al.. (1999). Myostatin, a transforming growth factor‐β superfamily member, is expressed in heart muscle and is upregulated in cardiomyocytes after infarct. Journal of Cellular Physiology. 180(1). 1–9. 4 indexed citations
3.
Fowke, P. J. & S. Hodgkinson. (1996). The ovine pancreatic protein which binds insulin-like growth factor binding protein-3 is procarboxypeptidase A. Journal of Endocrinology. 150(1). 51–56. 14 indexed citations
4.
Hodgkinson, S., et al.. (1995). PROTEINS IN TISSUE EXTRACTS WHICH BIND INSULIN-LIKE GROWTH FACTOR BINDING PROTEIN-3 (IGFBP-3). Journal of Endocrinology. 145(1). R1–R6. 18 indexed citations
5.
Walton, Eric F. & P. J. Fowke. (1993). Effect of hydrogen cyanamide on kiwifruit shoot flower number and position. Journal of Horticultural Science. 68(4). 529–534. 24 indexed citations
6.
Walton, Eric F. & P. J. Fowke. (1992). ESTIMATING THE COST OF KIWIFRUIT VINE GROWTH. Acta Horticulturae. 53–60. 2 indexed citations
7.
Bass, J. J., Jenny M. Oldham, S. Hodgkinson, et al.. (1991). Influence of nutrition and bovine growth hormone (GH) on hepatic GH binding, insulin-like growth factor-I and growth of lambs. Journal of Endocrinology. 128(2). 181–186. 40 indexed citations
8.
Bass, J. J., P. J. Fowke, D. M. Duganzich, & A. J. Peterson. (1989). Effect of different doses of 17β-oestradiol on growth and carcass composition of wether and ewe lambs. The Journal of Agricultural Science. 113(2). 183–187. 2 indexed citations
9.
Field, Robert A., J. J. Bass, A. H. Kirton, P. J. Fowke, & D. M. Duganzich. (1985). Distribution of Ether Extract, Moisture, Protein and Ash in Dissected Tissues from Ovine Carcasses. Journal of Animal Science. 60(4). 977–988. 11 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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