E. Spanos

1.2k total citations
29 papers, 846 citations indexed

About

E. Spanos is a scholar working on Endocrinology, Diabetes and Metabolism, Pathology and Forensic Medicine and Molecular Biology. According to data from OpenAlex, E. Spanos has authored 29 papers receiving a total of 846 indexed citations (citations by other indexed papers that have themselves been cited), including 13 papers in Endocrinology, Diabetes and Metabolism, 11 papers in Pathology and Forensic Medicine and 8 papers in Molecular Biology. Recurrent topics in E. Spanos's work include Vitamin D Research Studies (9 papers), Growth Hormone and Insulin-like Growth Factors (9 papers) and Ovarian function and disorders (4 papers). E. Spanos is often cited by papers focused on Vitamin D Research Studies (9 papers), Growth Hormone and Insulin-like Growth Factors (9 papers) and Ovarian function and disorders (4 papers). E. Spanos collaborates with scholars based in United Kingdom, Greece and United States. E. Spanos's co-authors include I. MacIntyre, Mark R. Haussler, J. Wesley Pike, D Barrett, Dennis Brown, S. J. MacAuley, Kay W. Colston, I. MacIntyre, L. Galante and S. Mantalenakis and has published in prestigious journals such as Nature, Proceedings of the National Academy of Sciences and Biomaterials.

In The Last Decade

E. Spanos

27 papers receiving 755 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
E. Spanos United Kingdom 15 357 285 157 150 126 29 846
JohnC. Stevenson United Kingdom 12 123 0.3× 246 0.9× 151 1.0× 53 0.4× 71 0.6× 19 861
Desi W. Soegiarto Germany 5 437 1.2× 60 0.2× 209 1.3× 158 1.1× 103 0.8× 6 890
G Saggese Italy 15 63 0.2× 384 1.3× 182 1.2× 139 0.9× 59 0.5× 32 816
K. W. Colston United Kingdom 16 507 1.4× 148 0.5× 322 2.1× 36 0.2× 47 0.4× 24 962
Naoki Mitsuhashi Japan 13 149 0.4× 68 0.2× 101 0.6× 179 1.2× 106 0.8× 36 645
Samuel P. Marynick United States 14 70 0.2× 190 0.7× 187 1.2× 153 1.0× 56 0.4× 23 871
Bronwyn A. Crawford Australia 15 77 0.2× 249 0.9× 57 0.4× 91 0.6× 46 0.4× 24 677
B. P. Halloran United States 8 283 0.8× 83 0.3× 98 0.6× 16 0.1× 87 0.7× 14 759
Pietro Affinito Italy 13 98 0.3× 113 0.4× 93 0.6× 235 1.6× 115 0.9× 26 718
Fischer Ja Switzerland 17 120 0.3× 131 0.5× 124 0.8× 29 0.2× 22 0.2× 50 803

Countries citing papers authored by E. Spanos

Since Specialization
Citations

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

Fields of papers citing papers by E. Spanos

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of E. Spanos

This figure shows the co-authorship network connecting the top 25 collaborators of E. Spanos. A scholar is included among the top collaborators of E. Spanos 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 E. Spanos. E. Spanos 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.
Mantri, Madhav, et al.. (2024). A spatiotemporal molecular atlas of the ovulating mouse ovary. Proceedings of the National Academy of Sciences. 121(5). e2317418121–e2317418121. 18 indexed citations
2.
Whitman, Matthew A., Madhav Mantri, E. Spanos, et al.. (2024). Bone mineral density affects tumor growth by shaping microenvironmental heterogeneity. Biomaterials. 315. 122916–122916. 5 indexed citations
3.
Samoli, Evangelia, Areti Lagiou, Anastasia Barbouni, et al.. (2014). Expression of estrogen receptors in non-malignant mammary tissue modifies the association between insulin-like growth factor 1 and breast cancer risk. Annals of Oncology. 26(4). 793–797. 7 indexed citations
4.
Lagiou, P., Evangelia Samoli, Areti Lagiou, et al.. (2013). A comparison of hormonal profiles between breast cancer and benign breast disease: a case–control study. Annals of Oncology. 24(10). 2527–2533. 9 indexed citations
5.
Samoli, Evangelia, Dimitrios Trichopoulos, Areti Lagiou, et al.. (2012). The hormonal profile of benign breast disease. British Journal of Cancer. 108(1). 199–204. 22 indexed citations
6.
Papadimas, J., et al.. (1996). Azoospermia: Clinical, Hormonal, and Biochemical Investigation. Archives of Andrology. 37(2). 97–102. 12 indexed citations
7.
Pados, George, Basil C. Tarlatzis, J. Bontis, et al.. (1995). Evaluation of different ovarian stimulation protocols forin vitrofertilization. Gynecological Endocrinology. 9(2). 103–112. 6 indexed citations
8.
9.
Tarlatzis, Basil C., George Pados, J. Bontis, et al.. (1993). Ovarian stimulation with buserelin/HMG/HCG: prospective randomized study of short versus long protocol. Human Reproduction. 8(6). 807–812. 20 indexed citations
10.
Tarlatzis, Basil C., Helen Bili, J. Bontis, et al.. (1993). Endocrinology: Growth hormone, oestradiol, progesterone and testosterone concentrations in follicular fluid after ovarian stimulation with various regimes for assisted reproduction. Human Reproduction. 8(10). 1612–1616. 26 indexed citations
11.
Κolibianakis, Efstratios M., Basil C. Tarlatzis, J. Bontis, et al.. (1992). Evaluation of Hamilton-Thorn Automated Semen Analysis System. Archives of Andrology. 28(3). 213–222. 7 indexed citations
12.
Robinson, C. J., E. Spanos, Marian F. James, et al.. (1982). Role of prolactin in vitamin D metabolism and calcium absorption during lactation in the rat. Journal of Endocrinology. 94(3). 443–453. 61 indexed citations
13.
Spanos, E., Dennis Brown, John C. Stevenson, & I. MacIntyre. (1981). Stimulation of 1,25-dihydroxycholecalciferol production by prolactin and related peptides in intact renal cell preparations in vitro. Biochimica et Biophysica Acta (BBA) - General Subjects. 672(1). 7–15. 36 indexed citations
14.
Spanos, E., Hedley C. Freake, S. J. MacAuley, & I. MacIntyre. (1981). Regulation of vitamin D metabolism by calcium and phosphate ions in isolated renal tubules. Biochemical Journal. 196(1). 187–193. 8 indexed citations
15.
Brown, Dennis, E. Spanos, & I. MacIntyre. (1980). Role of pituitary hormones in regulating renal vitamin D metabolism in man.. BMJ. 280(6210). 277–278. 47 indexed citations
16.
Spanos, E., Dennis Brown, & I. MacIntyre. (1979). Regulation of 25‐OHD3 metabolism by parathyroid hormone in primary chick kidney cell cultures. FEBS Letters. 105(1). 31–34. 13 indexed citations
17.
Brown, Drew M., et al.. (1978). Regulation of 25-hydroxycholecalciferol metabolism by 1,25-dihydroxycholecalciferol in relation to phosphate concentrations [proceedings].. Munich Personal RePEc Archive (Ludwig Maximilian University of Munich). 79(2). 35P–36P. 1 indexed citations
18.
Spanos, E., et al.. (1978). Effect of anterior pituitary and related peptide hormones on calcium absorption and the metabolism of vitamin D [proceedings].. Munich Personal RePEc Archive (Ludwig Maximilian University of Munich). 79(2). 38P–39P. 1 indexed citations
19.
Colston, Kay W., et al.. (1978). A SURVEY OF THE HORMONAL FACTORS THAT CONTROL CALCIUM METABOLISM*. Annals of the New York Academy of Sciences. 307(1). 345–355. 7 indexed citations
20.
MacIntyre, I., Kay W. Colston, I. M. A. Evans, et al.. (1976). REGULATION OF VITAMIN D: AN EVOLUTIONARY VIEW. Clinical Endocrinology. 5(s1). 85S–95S. 46 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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