L. A. Nolan

1.7k total citations
13 papers, 234 citations indexed

About

L. A. Nolan is a scholar working on Endocrinology, Diabetes and Metabolism, Epidemiology and Reproductive Medicine. According to data from OpenAlex, L. A. Nolan has authored 13 papers receiving a total of 234 indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Endocrinology, Diabetes and Metabolism, 3 papers in Epidemiology and 3 papers in Reproductive Medicine. Recurrent topics in L. A. Nolan's work include Pituitary Gland Disorders and Treatments (6 papers), Growth Hormone and Insulin-like Growth Factors (6 papers) and Stress Responses and Cortisol (2 papers). L. A. Nolan is often cited by papers focused on Pituitary Gland Disorders and Treatments (6 papers), Growth Hormone and Insulin-like Growth Factors (6 papers) and Stress Responses and Cortisol (2 papers). L. A. Nolan collaborates with scholars based in United Kingdom and Switzerland. L. A. Nolan's co-authors include Andrew R. Levy, Andrew Levy, Andrew Morgan, C.D. Ingram, S. A. Wood, RJ Windle, A J Levi, Stafford L. Lightman, Yvonne M. Kershaw and John F. Tarlton and has published in prestigious journals such as Endocrinology, Journal of General Virology and Journal of Endocrinology.

In The Last Decade

L. A. Nolan

11 papers receiving 229 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
L. A. Nolan United Kingdom 9 126 56 37 33 32 13 234
Marie-Thérèse Hagelstein Belgium 5 36 0.3× 43 0.8× 22 0.6× 25 0.8× 30 0.9× 6 257
Thomas Gard United Kingdom 6 156 1.2× 79 1.4× 55 1.5× 13 0.4× 22 0.7× 7 281
Nandini A. Sheth India 9 100 0.8× 64 1.1× 147 4.0× 37 1.1× 41 1.3× 13 346
P. Touraine France 8 81 0.6× 68 1.2× 114 3.1× 28 0.8× 75 2.3× 16 326
H M Schulte Germany 7 106 0.8× 52 0.9× 82 2.2× 27 0.8× 92 2.9× 15 326
Diane Jolley United States 5 60 0.5× 154 2.8× 29 0.8× 14 0.4× 36 1.1× 6 244
Ewa Wolińska Poland 8 32 0.3× 38 0.7× 45 1.2× 19 0.6× 18 0.6× 19 211
Füsûn N. Zeytin United States 10 131 1.0× 112 2.0× 12 0.3× 15 0.5× 25 0.8× 18 314
A. Miyake Japan 12 68 0.5× 93 1.7× 115 3.1× 62 1.9× 43 1.3× 20 351
T. D. Spector United Kingdom 9 71 0.6× 39 0.7× 19 0.5× 25 0.8× 31 1.0× 11 298

Countries citing papers authored by L. A. Nolan

Since Specialization
Citations

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

Fields of papers citing papers by L. A. Nolan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of L. A. Nolan

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

All Works

13 of 13 papers shown
1.
Boutwell, Amy E., et al.. (2014). Two Home Health Agencies Reduce Readmissions Among Heart Failure Patients Using a Quality Improvement Approach. 1 indexed citations
2.
Nolan, L. A. & Andrew R. Levy. (2009). The Trophic Effects of Oestrogen on Male Rat Anterior Pituitary Lactotrophs. Journal of Neuroendocrinology. 21(5). 457–464. 23 indexed citations
3.
Nolan, L. A. & Andrew Levy. (2008). Prolonged oestrogen treatment does not correlate with a sustained increase in anterior pituitary mitotic index in ovariectomized Wistar rats. Journal of Endocrinology. 200(3). 301–309. 13 indexed citations
5.
Nolan, L. A. & Andrew Levy. (2007). A single population of cells in the male rat anterior pituitary responds mitotically to both gonadectomy and adrenalectomy. Bristol Research (University of Bristol).
6.
Nolan, L. A. & Andrew R. Levy. (2006). The effects of testosterone and oestrogen on gonadectomised and intact male rat anterior pituitary mitotic and apoptotic activity. Journal of Endocrinology. 188(3). 387–396. 44 indexed citations
8.
Levy, Andrew & L. A. Nolan. (2006). Transient Uncoupling of Mitotic and Apoptotic Co-regulation in the Normal Male Rat Pituitary: a Potential Model of Pituitary Microadenoma Formation. Bristol Research (University of Bristol).
11.
Nolan, L. A., RJ Windle, S. A. Wood, et al.. (2000). Chronic Iodine Deprivation Attenuates Stress‐Induced and Diurnal Variation in Corticosterone Secretion in Female Wistar Rats. Journal of Neuroendocrinology. 12(12). 1149–1159. 18 indexed citations
12.
Nolan, L. A. & Andrew Morgan. (1995). The Epstein--Barr virus open reading frame BDLF3 codes for a 100-150 kDa glycoprotein. Journal of General Virology. 76(6). 1381–1392. 16 indexed citations
13.
Pither, Richard, et al.. (1992). Distribution of epitopes within the amino acid sequence of the Epstein--Barr virus major envelope glycoprotein, gp340, recognized by hyperimmune rabbit sera. Journal of General Virology. 73(6). 1409–1415. 5 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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