P.A. Elder

547 total citations
25 papers, 449 citations indexed

About

P.A. Elder is a scholar working on Endocrinology, Diabetes and Metabolism, Molecular Biology and Pathology and Forensic Medicine. According to data from OpenAlex, P.A. Elder has authored 25 papers receiving a total of 449 indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Endocrinology, Diabetes and Metabolism, 4 papers in Molecular Biology and 4 papers in Pathology and Forensic Medicine. Recurrent topics in P.A. Elder's work include Stress Responses and Cortisol (3 papers), Adipokines, Inflammation, and Metabolic Diseases (3 papers) and Adrenal Hormones and Disorders (3 papers). P.A. Elder is often cited by papers focused on Stress Responses and Cortisol (3 papers), Adipokines, Inflammation, and Metabolic Diseases (3 papers) and Adrenal Hormones and Disorders (3 papers). P.A. Elder collaborates with scholars based in New Zealand, United Kingdom and Australia. P.A. Elder's co-authors include John G. Lewis, Brett Shand, Russell Scott, Peter M. George, Keren E. Dittmer, Chris Frampton, Jonathan C. Marshall, Els Acke, Erica K. Gee and K.G. Thompson and has published in prestigious journals such as International Journal of Obesity, Clinica Chimica Acta and Journal of Organometallic Chemistry.

In The Last Decade

P.A. Elder

24 papers receiving 425 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.A. Elder New Zealand 11 123 85 75 69 62 25 449
N. V. Emanuele United States 14 221 1.8× 63 0.7× 71 0.9× 97 1.4× 67 1.1× 22 649
A. Chisari Argentina 16 84 0.7× 74 0.9× 87 1.2× 152 2.2× 211 3.4× 48 748
Francesca Sciarra Italy 16 190 1.5× 78 0.9× 161 2.1× 72 1.0× 28 0.5× 42 757
M. Muscettola Italy 17 23 0.2× 86 1.0× 184 2.5× 85 1.2× 44 0.7× 45 672
T Fait Czechia 13 150 1.2× 39 0.5× 77 1.0× 24 0.3× 31 0.5× 76 657
Noriko Tagawa Japan 15 202 1.6× 28 0.3× 146 1.9× 47 0.7× 83 1.3× 44 584
Edward S. Umstot United States 17 343 2.8× 102 1.2× 446 5.9× 94 1.4× 28 0.5× 25 1.1k
Michael Franklin United Kingdom 17 64 0.5× 28 0.3× 131 1.7× 50 0.7× 63 1.0× 44 861
J. R. PFISTER United States 10 84 0.7× 28 0.3× 204 2.7× 99 1.4× 10 0.2× 15 468
Alfredo Coviello Argentina 12 46 0.4× 59 0.7× 145 1.9× 118 1.7× 12 0.2× 64 571

Countries citing papers authored by P.A. Elder

Since Specialization
Citations

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

Fields of papers citing papers by P.A. Elder

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of P.A. Elder

This figure shows the co-authorship network connecting the top 25 collaborators of P.A. Elder. A scholar is included among the top collaborators of P.A. Elder 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.A. Elder. P.A. Elder 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.
Dittmer, Keren E., Erica K. Gee, Jonathan C. Marshall, et al.. (2016). Influence of blanketing and season on vitamin D and parathyroid hormone, calcium, phosphorus, and magnesium concentrations in horses in New Zealand. Domestic Animal Endocrinology. 56. 75–84. 27 indexed citations
2.
Eason, CT, et al.. (2013). Reference concentrations of cholecalciferol in animals: a basis for establishing non‐target exposure. New Zealand Journal of Zoology. 40(4). 280–289. 10 indexed citations
3.
Lewis, John G., Lisa Jones, Michael Legge, & P.A. Elder. (2010). Corticosteroid-binding Globulin, Cortisol, Free Cortisol, and Sex Hormone-binding Globulin Responses Following Oral Glucose Challenge in Spinal Cord-injured and Able-bodied Men. Hormone and Metabolic Research. 42(12). 882–886. 3 indexed citations
4.
Shand, Brett, Russell Scott, John G. Lewis, P.A. Elder, & Chris Frampton. (2009). Comparison of indices of insulin resistance with metabolic syndrome classifications to predict the development of impaired fasting glucose in overweight and obese subjects: a 3-year prospective study. International Journal of Obesity. 33(11). 1274–1279. 10 indexed citations
5.
Lewis, John G., Brett Shand, Matthew Doogue, et al.. (2006). Plasma Variation of Corticosteroid-binding Globulin and Sex Hormone-binding Globulin. Hormone and Metabolic Research. 38(4). 241–245. 29 indexed citations
6.
Shand, Brett, et al.. (2006). Comparative study on the efficacy of pioglitazone in Caucasian and Maori–Polynesian patients with poorly controlled type 2 diabetes. Diabetes Obesity and Metabolism. 9(4). 540–547. 5 indexed citations
7.
8.
Lewis, John G., Brett Shand, P.A. Elder, & Russell Scott. (2004). Plasma sex hormone‐binding globulin rather than corticosteroid‐binding globulin is a marker of insulin resistance in obese adult males. Diabetes Obesity and Metabolism. 6(4). 259–263. 22 indexed citations
9.
Shand, Brett, Russell Scott, P.A. Elder, & Peter M. George. (2003). Plasma adiponectin in overweight, nondiabetic individuals with or without insulin resistance. Diabetes Obesity and Metabolism. 5(5). 349–353. 90 indexed citations
10.
Lewis, Mark G., John G. Lewis, P.A. Elder, & Grant A. Moore. (2003). An Enzyme-Linked Immunosorbent Assay (ELISA) for Methylphenidate (Ritalin(R)) in Urine. Journal of Analytical Toxicology. 27(6). 342–345. 2 indexed citations
11.
Elder, P.A., et al.. (1997). Generation of monoclonal progesterone antibodies by electrofusion techniques. Bioelectrochemistry and Bioenergetics. 43(1). 35–40. 5 indexed citations
12.
13.
Elder, P.A., et al.. (1992). An enzyme‐linked immunosorbent assay (ELISA) for measuring prolactin levels in ovine and cervine plasma. New Zealand Journal of Agricultural Research. 35(1). 109–115. 3 indexed citations
14.
Macdonald, Stuart J., P.S. Bodger, & P.A. Elder. (1992). Biological cell alignment for electrofusion. 139(3). 112–112. 1 indexed citations
15.
Cauchi, M.N., Paul Compton, P.A. Elder, et al.. (1989). Sources of improvement in between laboratory variation in estrogen and progestin receptor measurements using tissue samples during the Australasian Quality Assurance Programme. European Journal of Cancer and Clinical Oncology. 25(7). 1087–1093. 4 indexed citations
16.
Elder, P.A., et al.. (1987). Development of an indirect enzyme linked immunoassay for abscisic acid. [Pisum sativum]. 1 indexed citations
17.
18.
Lewis, John G. & P.A. Elder. (1985). An enzyme-linked immunosorbent assay (ELISA) for plasma cortisol. Journal of Steroid Biochemistry. 22(5). 673–676. 83 indexed citations
19.
Lewis, John G. & P.A. Elder. (1985). Fractionation of cortisol antisera by immunoadsorption chromatography: Characterisation and use in an enzyme-linked immunosorbent assay (ELISA). Journal of Steroid Biochemistry. 22(3). 387–390. 14 indexed citations
20.
Elder, P.A. & John G. Lewis. (1985). An enzyme-linked immunosorbent assay (ELISA) for plasma testosterone. Journal of Steroid Biochemistry. 22(5). 635–638. 51 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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