D.J.A. Eckland

6.2k total citations
37 papers, 1.5k citations indexed

About

D.J.A. Eckland is a scholar working on Endocrinology, Diabetes and Metabolism, Molecular Biology and Behavioral Neuroscience. According to data from OpenAlex, D.J.A. Eckland has authored 37 papers receiving a total of 1.5k indexed citations (citations by other indexed papers that have themselves been cited), including 22 papers in Endocrinology, Diabetes and Metabolism, 9 papers in Molecular Biology and 9 papers in Behavioral Neuroscience. Recurrent topics in D.J.A. Eckland's work include Stress Responses and Cortisol (9 papers), Diabetes Treatment and Management (8 papers) and Diabetes Management and Research (7 papers). D.J.A. Eckland is often cited by papers focused on Stress Responses and Cortisol (9 papers), Diabetes Treatment and Management (8 papers) and Diabetes Management and Research (7 papers). D.J.A. Eckland collaborates with scholars based in United Kingdom, United States and Finland. D.J.A. Eckland's co-authors include Stafford L. Lightman, Meindert Danhof, D. S. Jessop, Michael S. Harbuz, O Föster, Richard Rees, D. A. Brewerton, Martin J. Whitaker, Kathryn G. Todd and Richard Ross and has published in prestigious journals such as The Lancet, The Journal of Clinical Endocrinology & Metabolism and Diabetes Care.

In The Last Decade

D.J.A. Eckland

37 papers receiving 1.5k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
D.J.A. Eckland United Kingdom 18 642 435 386 222 213 37 1.5k
Giacomo Pozzoli Italy 22 242 0.4× 575 1.3× 431 1.1× 152 0.7× 149 0.7× 57 1.9k
Bryan L. Spangelo United States 20 537 0.8× 376 0.9× 339 0.9× 138 0.6× 96 0.5× 39 1.7k
K. Hermann Germany 25 246 0.4× 991 2.3× 219 0.6× 240 1.1× 431 2.0× 61 2.3k
Dominic J. Autelitano Australia 28 469 0.7× 1.0k 2.3× 281 0.7× 225 1.0× 186 0.9× 57 2.2k
Piera Rebuffat Italy 24 754 1.2× 682 1.6× 313 0.8× 323 1.5× 80 0.4× 141 2.0k
Miguel Trueba Spain 26 209 0.3× 1.3k 2.9× 152 0.4× 169 0.8× 229 1.1× 63 1.9k
Shiro Minami Japan 27 768 1.2× 368 0.8× 198 0.5× 535 2.4× 165 0.8× 82 1.7k
Toshio Kaneko Japan 25 552 0.9× 773 1.8× 54 0.1× 191 0.9× 143 0.7× 77 1.8k
Roderick N. Carter United Kingdom 20 216 0.3× 379 0.9× 196 0.5× 39 0.2× 93 0.4× 29 1.2k
D. H. Coy United States 25 429 0.7× 777 1.8× 77 0.2× 227 1.0× 96 0.5× 57 1.8k

Countries citing papers authored by D.J.A. Eckland

Since Specialization
Citations

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

Fields of papers citing papers by D.J.A. Eckland

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by D.J.A. Eckland. 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 D.J.A. Eckland. The network helps show where D.J.A. Eckland may publish in the future.

Co-authorship network of co-authors of D.J.A. Eckland

This figure shows the co-authorship network connecting the top 25 collaborators of D.J.A. Eckland. A scholar is included among the top collaborators of D.J.A. Eckland 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 D.J.A. Eckland. D.J.A. Eckland 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.
Mallappa, Ashwini, Ninet Sinaii, Parag Kumar, et al.. (2014). A Phase 2 Study of Chronocort, a Modified-Release Formulation of Hydrocortisone, in the Treatment of Adults With Classic Congenital Adrenal Hyperplasia. The Journal of Clinical Endocrinology & Metabolism. 100(3). 1137–1145. 106 indexed citations
2.
Westphal, Manfred, Seppo Ylä‐Herttuala, John Martin, et al.. (2013). Adenovirus-mediated gene therapy with sitimagene ceradenovec followed by intravenous ganciclovir for patients with operable high-grade glioma (ASPECT): a randomised, open-label, phase 3 trial. The Lancet Oncology. 14(9). 823–833. 179 indexed citations
3.
Langford, Gillian, Anthony D. Dayan, Seppo Ylä‐Herttuala, & D.J.A. Eckland. (2009). A preclinical assessment of the safety and biodistribution of an adenoviral vector containing the herpes simplex virus thymidine kinase gene (Cerepro®) after intracerebral administration. The Journal of Gene Medicine. 11(6). 468–476. 15 indexed citations
6.
Eckland, D.J.A. & Meindert Danhof. (2000). Clinical pharmacokinetics of pioglitazone. Experimental and Clinical Endocrinology & Diabetes. 108(Sup. 2). 234–242. 145 indexed citations
7.
Young, Malcolm A., D.J.A. Eckland, R. Eastmond, & Sally Lettis. (1998). Establishing the dose response curve for metabolic control with troglitazone, an insulin action enhancer, in type 2 diabetes patients. Annals of Medicine. 30(2). 206–212. 11 indexed citations
8.
Eckland, D.J.A., et al.. (1998). Limitations of treatments available for the management of Type 2 diabetes: Results from an international survey of physicians. Practical Diabetes International. 15(4). 112–116. 2 indexed citations
9.
Hovorka, Roman, et al.. (1998). Reproducibility and comparability of insulin sensitivity indices measured by stable-label intravenous glucose tolerance test. Diabetic Medicine. 15(3). 234–246. 14 indexed citations
10.
Eckland, D.J.A., et al.. (1997). Managing the burden of Type 2 diabetes: an international survey of physicians. Practical Diabetes International. 14(7). 201–206. 9 indexed citations
11.
Chowdrey, H.S., Philip J. Larsen, Michael S. Harbuz, et al.. (1995). Evidence for arginine vasopressin as the primary activator of the HPA axis during adjuvant‐induced arthritis. British Journal of Pharmacology. 116(5). 2417–2424. 100 indexed citations
12.
Johnson, M R, et al.. (1992). Effect of food deprivation and altered thyroid status on the hypothalamic-pituitary-thyroid axis in the rat. Journal of Endocrinology. 133(2). 183–188. 19 indexed citations
14.
McCombe, Mark, Stafford L. Lightman, D.J.A. Eckland, & Andrew Hamilton. (1991). Effect of a long-acting somatostatin analogue (BIM23014) on proliferative diabetic retinopathy: A pilot study. Eye. 5(5). 569–575. 39 indexed citations
15.
Jessop, D. S., D.J.A. Eckland, Kathryn G. Todd, & Stafford L. Lightman. (1989). Osmotic regulation of hypothalamo-neurointermediate lobe corticotrophin-releasing factor-41 in the rat. Journal of Endocrinology. 120(1). 119–124. 59 indexed citations
16.
Levy, Andrew, D.J.A. Eckland, Alison M. Gurney, et al.. (1989). Somatostatin and Thyrotrophin‐Releasing Hormone Response and Receptor Status of a Thyrotrophin‐Secreting Pituitary Adenoma: Clinical and in vitro Studies. Journal of Neuroendocrinology. 1(5). 321–326. 25 indexed citations
17.
Eckland, D.J.A., Kathryn G. Todd, & Stafford L. Lightman. (1988). Immunoreactive vasopressin and oxytocin in hypothalamo-hypophysial portal blood of the Brattleboro and Long–Evans rat: effect of adrenalectomy and dexamethasone. Journal of Endocrinology. 117(1). 27–34. 23 indexed citations
18.
Eckland, D.J.A., Subrata Kumar Biswas, & Stafford L. Lightman. (1988). Hypothalamo-hypophyseal portal blood sampling from laboratory rats. Experimental Brain Research. 72(3). 640–4. 1 indexed citations
20.
Grossman, Ashley, D.J.A. Eckland, Peter M. Price, & C.R.W. Edwards. (1980). CAPTOPRIL: REVERSIBLE RENAL FAILURE WITH SEVERE HYPERKALÆMIA. The Lancet. 315(8170). 712–712. 44 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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